{"id":32,"date":"2013-06-28T15:45:33","date_gmt":"2013-06-28T13:45:33","guid":{"rendered":"http:\/\/www.capelab.dii.unipd.it\/?page_id=32"},"modified":"2026-05-11T08:29:40","modified_gmt":"2026-05-11T06:29:40","slug":"publications-2","status":"publish","type":"page","link":"https:\/\/research.dii.unipd.it\/capelab\/publications-2\/","title":{"rendered":"Publications"},"content":{"rendered":"<div data-label=\"Content\" data-id=\"content--1\" data-export-id=\"content-12\" data-category=\"content\" class=\"content-12 content-section content-section-spacing\" id=\"content-1\" data-section-ov=\"1\">\r\n<div class=\"gridContainer\">\r\n<div data-section-title-area=\"true\" class=\"row text-center\">\r\n<div class=\"section-title-col\" data-type=\"column\">\r\n<h2 class=\"\">Relevant topics<\/h2>\r\n<\/div>\r\n<\/div>\r\n<div class=\"row center-xs middle-xs\">\r\n<div class=\"col-sm-9\" data-type=\"column\"><img loading=\"lazy\" decoding=\"async\" class=\"shadow-large\" src=\"https:\/\/research.dii.unipd.it\/capelab\/wp-content\/uploads\/sites\/36\/2025\/03\/wordcloud_2025_03.png\" alt=\"cape lab\" width=\"4389\" height=\"3651\"><\/div>\r\n<\/div>\r\n<\/div>\r\n<\/div>\r\n<div data-label=\"Cta\" data-id=\"cta--1\" data-export-id=\"cta-blue-section\" data-category=\"cta\" class=\"cta-blue-section content-section content-section-spacing-medium bg-color1 white-text\" id=\"cta-1\">\r\n<div class=\"gridContainer\">\r\n<div class=\"row middle-xs\">\r\n<div class=\"col-sm-8 space-bottom-xs\" data-type=\"column\">\r\n<h2 class=\"\">Watch some video highlights of our publications<span class=\"font-300\"><\/span><\/h2>\r\n<\/div>\r\n<div class=\"col-sm-4 end-sm\" data-type=\"column\"><a class=\"button big no-shadow color2\" href=\"https:\/\/youtube.com\/playlist?list=PL_C37A47QJOX0DYo3ILvHF6Xoj8T_4oVm&amp;si=lptBm8bQZ3fe8h_Q\" target=\"_blank\" data-cp-link=\"1\" data-icon=\"fa-play-circle\" rel=\"noopener\">VIDEO HIGHLIGHTS<\/a><\/div>\r\n<\/div>\r\n<\/div>\r\n<\/div>\r\n<div data-id=\"initial-content-section\" data-export-id=\"initial-content-section\" data-label=\"Initial Content\" id=\"initial-content-section\" class=\"content-section content-section-spacing\" data-section-ov=\"1\">\r\n<div class=\"gridContainer\">\r\n<div data-section-title-area=\"true\" class=\"row text-center\">\r\n<div class=\"section-title-col\" data-type=\"column\">\r\n<h2 class=\"\">List of publications<\/h2>\r\n<\/div>\r\n<\/div>\r\n<div class=\"row\">\r\n<div class=\"col-xs-12 col-sm-12\">\r\n<h3>Year 2026<\/h3>\r\n<ul class=\"normallist\">\r\n \t<li>Tizzani, R., A. Torrisi, F. Bezzo, E. Sforza (2026). <a href=\"http:\/\/doi.org\/10.1002\/bbb.70144\">Design of experiments-driven optimization of <em>Porphyridium marinum<\/em> cultivation: impact of operational variables on phycoerythrin and exopolysaccharide production.<\/a> <em>Biofuels, Bioprod. Biorefin.<\/em>, <strong>20<\/strong>, 1506\u20131522.<\/li>\r\n \t<li>Caetano, A.H.V., F. Bezzo, M. Geremia, K.V. Gernaey, J. Kager (2026). Dynamic feed strategies in Saccharomyces cerevisiae fed-batch fermentation guided by model-based design of experiments: an in silico study. Presented at: <em>9th BioProScale Symposium, 20th-22nd April 2026, Berlin (Germany)<\/em>.<\/li>\r\n \t<li>Overgaard, T., M.O. Bertran, B.F. Nielsen, P. Facco, M. Barolo (2026). <a href=\"https:\/\/doi.org\/10.1016\/j.dche.2026.100307\">Beyond black-box models: Measuring physics-driven and data-driven contributions in hybrid process models.<\/a> <em>Digit. Chem. Eng.<\/em>, <strong>19<\/strong>, 100307.<\/li>\r\n \t<li>Rossi, L., F. Bezzo, M. Barolo (2026). <a href=\"https:\/\/doi.org\/10.1016\/j.compchemeng.2026.109634\">HyMech: AI-driven framework for physics-informed discovery of interpretable hybrid models.<\/a> <em>Comp. Chem. Eng.<\/em>, <strong>210<\/strong>, 109634.<\/li>\r\n \t<li>Kumcu, S., B. \u00d6zy\u00f6r\u00fck, F. Bezzo, F. d\u2019Amore (2026). <a href=\"https:\/\/doi.org\/10.1016\/j.ijggc.2026.104568\">Optimization of carbon capture, utilization, and storage supply chains for the hard-to-abate industry in T\u00fcrkiye.<\/a> <em>Int. J. Greenh. Gas Con.<\/em>, <strong>150<\/strong>, 104568.<\/li>\r\n \t<li>Varnier, L., F. d\u2019Amore, B. de Groot, F. Bezzo (2026). <a href=\"https:\/\/doi.org\/10.1016\/j.ccst.2025.100563\">Energy-optimised cryogenic CO2 capture for cement production decarbonisation: process design and techno-economic analysis.<\/a> <em>Carbon Capture Sci. Technol.<\/em>, <strong>18<\/strong>, 100563.<\/li>\r\n \t<li>Geremia, M., T. Marella, E. Ardalani, S. Beyramysoltan, S. Chattoraj, P. Facco, M. Barolo, F. Bezzo (2026). <a href=\"https:\/\/doi.org\/10.1016\/j.compchemeng.2025.109536\">On the impact of mechanistic model quality and data availability in hybrid model development.<\/a> <em>Comp. Chem. Eng.<\/em>, <strong>206<\/strong>, 109536.<\/li>\r\n \t<li>Geremia, M., S. Macchietto, F. Bezzo (2026). <a href=\"https:\/\/doi.org\/10.1016\/j.ces.2025.122347\">A review on model-based design of experiments for parameter precision \u2013 open challenges, trends and future perspectives.<\/a> <em>Chem. Eng. Sci.<\/em>, <strong>319<\/strong>, 122347.<\/li>\r\n<\/ul>\r\n<h3>Year 2025<\/h3>\r\n<ul class=\"normallist\">\r\n \t<li>Tabrizi, Z., E. Barbera, W.R. Leal da Silva, F. Bezzo (2025). <a href=\"https:\/\/doi.org\/10.1016\/j.dche.2025.100276\"><em>MIDDoE<\/em>: An MBDoE Python package for model identification, discrimination, and calibration.<\/a> <em>Digit. Chem. Eng.<\/em>, <strong>17<\/strong>, 100276.<\/li>\r\n \t<li>Tabrizi, Z., C. Rodriguez, E. Barbera, W. R. Leal da Silva, F. Bezzo (2025). <a href=\"https:\/\/doi.org\/10.1021\/acs.iecr.5c02835\">Wet carbonation of industrial recycled concrete fines: Experimental study and reaction kinetic modelling.<\/a> <em>Ind. Eng. Chem. Res.<\/em>, <strong>64<\/strong>, 21412-21425.<\/li>\r\n \t<li>Varnier, L., D. Rubinaccio, F. Bezzo, F. d\u2019Amore (2025). <a href=\"https:\/\/doi.org\/10.3303\/CET25119023\">Techno-economic analysis of cryogenic carbon capture for cement decarbonization.<\/a> <em>Chem. Eng. Trans.<\/em>, <strong>119<\/strong>, 133-138.<\/li>\r\n \t<li>Caetano, A.H.V., F. Bezzo, M. Geremia, K.V. Gernaey, J. Kager (2025). Model-based design of experiments driven in silico fed-batch <em>Saccharomyces cerevisiae<\/em> parameterization. Presented at: <em>RAFT16 \u2013 Recent Advances in Fermentation Technology, 9-12 November 2025, Myrtle Beach FL (U.S.A.)<\/em>.<\/li>\r\n \t<li>Cr\u00eestiu, D., F. You, F. Bezzo, F. d\u2019Amore (2025). Optimisation under uncertainty of direct air capture chains in Europe. Presented at: <em>AIChE 2025 Annual Meeting, 2 November-6 November 2025, Boston MA (U.S.A.)<\/em>.<\/li>\r\n \t<li>Varnier, L., F. d\u2019Amore, B. de Groot, F. Bezzo (2025). Techno-economic analysis of an energy-optimised cryogenic carbon capture process for decarbonisation of cement production. Presented at: <em>IEAGHG 8th Post Combustion Capture Conference (PCCC-8), 16-18 September 2025, Marseille (France)<\/em>.<\/li>\r\n \t<li>Caetano, A.H.V., F. Bezzo, M. Geremia, K.V. Gernaey, J. Kager (2025). Dynamic feed control in <em>Saccharomyces cerevisiae<\/em> fermentation using model-based design of experiments. Presented at: <em>ECCE15 \u2013 15th European Congress of Chemical Engineering. ECAB8 \u2013 8th European Congress of Applied Biotechnology. CIBIQ3 \u2013 3rd Iberoamerican Congress on Chemical Engineering, 8-10 September 2025, Lisbon (Portugal).<\/em><\/li>\r\n \t<li>Baldea, M., E.E. Endler, E. Hale, C.T. Maravelias, M. Barolo, I. Harjunkoski, M. Mercangoz, S.L. Shah, M. Soroush, B.R. Young, Q. Zhang (2025). <a href=\"https:\/\/doi.org\/10.1021\/acs.iecr.5c01256\">Transforming the process industries through electrification: challenges &amp; opportunities.<\/a> <em>Ind. Eng. Chem. Res.<\/em>, <strong>64<\/strong>, 16466-16478.&nbsp;<\/li>\r\n \t<li>Garc\u00eda-Carri\u00f3n, S., F. Sartori, J. Borr\u00e0s-Ferr\u00eds, P. Facco, M. Barolo, A. Ferrer (2025). <a href=\"https:\/\/doi.org\/10.1002\/cem.70057\">On the equivalence between null space and orthogonal space in latent variable regression modeling.<\/a> <em>J. Chemom.<\/em>, <strong>39<\/strong>, e70057.&nbsp;<\/li>\r\n \t<li>Tamiazzo, E., A. Biasin, P. Facco (2025). <a href=\"https:\/\/doi.org\/10.1016\/j.ifacol.2025.08.010\">Improved understanding of experimental campaigns in catalyst development through machine learning.<\/a> <em>IFAC-PapersOnLine<\/em>, <strong>59<\/strong>, 594-599.<\/li>\r\n \t<li>Barberi, G., P. Diaz-Fernandez, D. Lega, P. Kotidis, G. Finka, P. Facco (2025). <a href=\"https:\/\/doi.org\/10.1016\/j.ifacol.2025.08.002\">A digital tool for the automatic identification of anomalous cell cultures in biopharmaceutical process development.<\/a> <em>IFAC-PapersOnLine<\/em>, <strong>59<\/strong>, 546-551.<\/li>\r\n \t<li>Kumcu, S., B. \u00d6zy\u00f6r\u00fck, F. Bezzo, F. d\u2019Amore (2025). <a href=\"https:\/\/doi.org\/10.1051\/e3sconf\/202563801012\">Optimization of carbon capture and sequestration networks: a case study on hard-to-abate industry in T\u00fcrkiye.<\/a> In: <em>Proc. of the International Conference on Electronics, Engineering Physics and Earth Science \u2013 EEPES 2025, 18-20 June 2025, Alexandroupolis (Greece), E3S Web of Conferences<\/em>, <strong>638<\/strong>, 01012.<\/li>\r\n \t<li>Brendolan, M., F. Cenci, K. Stamatopoulos, F. Bezzo, P. Facco (2025). Improving drug solubility prediction in in-vitro intestinal fluids through hybrid modelling strategies. Presented at: <em>Escape35, 35th European Symposium on Computer Aided Process Engineering, Ghent (Belgium), 6-9 July 2025<\/em>.<\/li>\r\n \t<li>Melitos, G., B. de Groot, F. Bezzo (2025). <a href=\"https:\/\/doi.org\/10.69997\/sct.188035\">Model based flowsheet studies on cement clinker production processes<\/a>. In: <em>Systems and Control Transactions, Proc. of the 35th European Symposium on Computer Aided Process Engineering<\/em> (J.F.M. Van Impe, G. L\u00e9onard, S.S. Bhonsale, M.E. Pola\u0144ska, F. Logist, Eds.), PSE Press, Amsterdam (The Netherlands), 4, 153-158.<\/li>\r\n \t<li>Bolourchian Tabrizi, S.Z., E. Barbera, W.R. Leal da Silva, F. Bezzo (2025). <a href=\"https:\/\/doi.org\/10.69997\/sct.192104\">A Python\/Numpy-based package to support model discrimination and identification<\/a>. In: <em>Systems and Control Transactions, Proc. of the 35th European Symposium on Computer Aided Process Engineering<\/em> (J.F.M. Van Impe, G. L\u00e9onard, S.S. Bhonsale, M.E. Pola\u0144ska, F. Logist, Eds.), PSE Press, Amsterdam (The Netherlands), 4, 1282-1287.<\/li>\r\n \t<li>Di Carlo, G., F. Sartori, P. Facco, F. Bezzo, M. Barolo (2025). On the assumption-free methodology for data-driven batch process monitoring. Presented at: <em>ICheaP17 \u2013 17th International Conference on Chemical And Process Engineering, 29 June -2 July 2025, Florence (Italy)<\/em>.<\/li>\r\n \t<li>Geremia, M., T. Marella, E. Ardalani, S. Beyramysoltan, S. Chattoraj, P. Facco, M. Barolo, F. Bezzo (2025). Hybrid modeling for the simulation of chromatography processes. Presented at: <em>ICheaP17 \u2013 17th International Conference on Chemical And Process Engineering, 29 June -2 July 2025, Florence (Italy)<\/em>.<\/li>\r\n \t<li>Felices-Rando, B., A. Fanesi, E. Sforza, F. Bezzo, F. Lopes (2025). <a href=\"https:\/\/doi.org\/10.1016\/j.algal.2025.104111\">Photoacclimation strategies in <em>Phaeodactylum tricornutum<\/em> biofilms.<\/a> <em>Algal Res.<\/em>, <strong>90<\/strong>, 104111.<\/li>\r\n \t<li>Tizzani, R., G. Barberi, S. Mohamadnia, I. Angelidaki, P. Facco, E. Sforza (2025). <a href=\"https:\/\/doi.org\/10.1016\/j.algal.2025.104062\">Design of Dynamic Experiments (DoDE) to optimize the lutein production by <em>Coccomyxa onubensis<\/em> in a novel high-cell density reactor.<\/a> <em>Algal Res.<\/em>, <strong>89<\/strong>, 104062.<\/li>\r\n \t<li>Morrissey, J., G. Barberi, B. Strain, P Facco, C. Kontoravdi (2025). <a href=\"https:\/\/doi.org\/10.1016\/j.ymben.2025.03.010\">NEXT-FBA: A hybrid stoichiometric\/data-driven approach to improve intracellular flux predictions.<\/a> <em>Metab. Eng.<\/em>, <strong>91<\/strong>, 130\u2013144.<\/li>\r\n \t<li>Saccardo, A., J. Wolf, B. Hankamer, F. Bezzo (2025). <a href=\"https:\/\/doi.org\/10.1016\/j.algal.2025.104073\">Scaling-up information from high-throughput pulsed light data to predict microalgae growth dynamics in photobioreactors.<\/a> <em>Algal Res.<\/em>, <strong>89<\/strong>, 104073.<\/li>\r\n \t<li>Rigoni, G., E. Calvo, C. Glytsou, M. Carro-Alvarellos, M. Noguchi, M. Semenzato, C. Quirin, F. Caicci, N. Meneghetti, M. Sturlese, T. Ishihara, S. Moro, C. Rampazzo, N. Ishihara, F. Bezzo, L. Salviati, J. Vazquez, G. Sales, C. Romualdi, J.A. Enriquez, L. Scorrano. M.E. Soriano (2025). <a href=\"https:\/\/doi.org\/10.1016\/j.cmet.2025.01.017\">MARIGOLD and MitoCIAO, two searchable compendia to visualize and functionalize protein complexes during mitochondrial remodeling.<\/a> <em>Cell Metab.<\/em>, <strong>37<\/strong>, 1024\u20131038.<\/li>\r\n \t<li>Cr\u00eestiu, D., F. d\u2019Amore, F. Bezzo (2025). <a href=\"https:\/\/doi.org\/10.1016\/j.resconrec.2025.108250\">Optimal design of sustainable supply chains for critical raw materials recycling in renewable energy technologies.<\/a> <em>Resour. Conserv. Recy.<\/em>, <strong>218<\/strong>, 108250.<\/li>\r\n \t<li>Cr\u00eestiu, D., F. You, F. d\u2019Amore, F. Bezzo (2025). <a href=\"https:\/\/doi.org\/10.1021\/acs.iecr.4c04040\">Strategic design and multiperiod optimization under uncertainty of solid sorbent direct air capture supply chains in Europe.<\/a> <em>Ind. Eng. Chem. Res.<\/em>, <strong>64<\/strong>, 5493\u22125510.<\/li>\r\n \t<li>Varnier, L., F. d\u2019Amore, K. Clausen, G. Melitos, B. de Groot, F. Bezzo (2025). <a href=\"https:\/\/doi.org\/10.1016\/j.jclepro.2025.145029\">Combined electrification and carbon capture for low-carbon cement: techno-economic assessment of different designs.<\/a> <em>J. Clean. Prod.<\/em>, <strong>498<\/strong>, 145029.<\/li>\r\n \t<li>Barberi, G., A. Benedetti, P. Diaz-Fernandez, D.C. S\u00e9vin, J. Vappiani, G. Finka, F. Bezzo, P. Facco (2025). <a href=\"https:\/\/doi.org\/10.1002\/aic.18602\">Productive CHO cell lines selection in biopharm process development through machine learning on metabolomic dynamics.<\/a> <em>AIChE J.<\/em>, <strong>71<\/strong>, e18602.<\/li>\r\n \t<li>Mohr, F., E. Arnese-Feffin, M. Barolo, R.D. Braatz (2025). <a href=\"https:\/\/doi.org\/10.1016\/j.compchemeng.2024.108918\">Smart process analytics for process monitoring.<\/a> <em>Comp. Chem. Eng.<\/em>, <strong>194<\/strong>, 108918.<\/li>\r\n<\/ul>\r\n<h3>Year 2024<\/h3>\r\n<ul class=\"normallist\">\r\n \t<li>Bernard, O., F. Casagli, B. Chachuat, F. Bezzo (2024). Will machine learning (finally) contribute to the microalgae sector? In: <em>Book of abstracts \u2013 AlgaEurope 2024, 10-13 December 2024, Athens, Greece<\/em>.<\/li>\r\n \t<li style=\"text-align: left\">Beccaro, L., P. Facco, R.M. Dhenge, M.J. Khala, F. Cenci, F. Bezzo, M. Barolo (2024). <a href=\"https:\/\/doi.org\/10.1016\/j.ijpharm.2024.124904\">Accelerating pharmaceutical tablet development by transfer of powder compaction equipment across types and scales.<\/a> <em>Int. J. Pharm.<\/em>, <strong>667<\/strong>, 124904.<\/li>\r\n \t<li style=\"text-align: left\">Barberi, G., C. Giacopuzzi, P. Facco (2024). <a href=\"http:\/\/doi.org\/10.3389\/fceng.2024.1456402\">Bioprocess feeding optimization through in silico dynamic experiments and hybrid digital models \u2013 a proof of concept.<\/a> <em>Front. Chem. Eng.<\/em>, <strong>6<\/strong>, 1456402.<\/li>\r\n \t<li style=\"text-align: left\">Zaryab, S.A, F. d\u2019Amore, P. Colbertaldo, M.C. Romano (2024). <a href=\"https:\/\/doi.org\/10.1021\/acs.iecr.4c02268\">Utilization or sequestration for captured CO2 from industrial plants?<\/a> <em>Ind. Eng. Chem. Res.<\/em>, <strong>63<\/strong>, 20287-20303.<\/li>\r\n \t<li>Varnier, L., K. Clausen, F. d\u2019Amore, F. Bezzo (2024).&nbsp; <a href=\"http:\/\/dx.doi.org\/10.2139\/ssrn.5058552\">Optimal integration of carbon capture and electrification for cement plants decarbonization.<\/a> In: <em>Proceedings of the 17th Greenhouse Gas Control Technologies Conference 2024 (GHGT-17), 20-24 October 2024, Calgary (Canada, 20-24 October 2024, Calgary (Canada)<\/em>.<\/li>\r\n \t<li>Torrisi, A., E. Sforza, N. Trivellin, F. Bezzo (2024). Combined effect of light and temperature in high frequency pulsed light regimes on <em>Acutodesmus obliquus<\/em>. Presented at: <em>AISAM 2024 \u2013 4th Congresso nazionale AISAM, 16-18 October 2024, Florence (Italy)<\/em>.<\/li>\r\n \t<li>Zhu, Q., P. Facco, Z. Zhao, M. Barolo (2024). <a href=\"https:\/\/doi.org\/10.1016\/j.chemolab.2024.105192\">Capturing connectivity information from process flow diagrams by sequential-orthogonalized PLS to improve soft-sensor performance.<\/a> <em>Chemom. Intell. Lab. Sys.<\/em>, <strong>252<\/strong>, 105192.<\/li>\r\n \t<li>Palac\u00ed-L\u00f3pez, D., J. Borr\u00e0s-Ferr\u00eds, P. Facco, M. Barolo, A. Ferrer (2024). <a href=\"https:\/\/www.taylorfrancis.com\/chapters\/edit\/10.1201\/9781003385974-16\/inverse-design-via-pls-model-inversion-daniel-palac%C3%AD-l%C3%B3pez-joan-borr%C3%A0s-ferr%C3%ADs-pierantonio-facco-massimiliano-barolo-alberto-ferrer\">Inverse design via PLS model inversion.<\/a> In: <em>The Digital Transformation of Product Formulation \u2012 Concepts, Challenges, and Appplications for Accelerated Innovation<\/em> (A. Schmidt and K. Wallace, Eds), CRC Press, Boca Raton (FL, U.S.A.), 266-286.<\/li>\r\n \t<li>Saccardo, A., A. Porcelli, L. Borella, E. Sforza, F. Bezzo (2024). <a href=\"https:\/\/doi.org\/10.1016\/j.jclepro.2024.143238\">Model-based optimisation of microalgae growth under high-intensity and high-frequency pulsed light conditions.<\/a> <em>J. Clean. Prod.<\/em>, <strong>469<\/strong>, 143238.<\/li>\r\n \t<li>Arnese-Feffin, E., P. Facco, F. Bezzo, M. Barolo (2024). <a href=\"https:\/\/doi.org\/10.1016\/j.ces.2024.120505\">Systematizing product design by latent-variable modeling \u2012 A unifying framework for the formulation of PLS model-inversion problems.<\/a> <em>Chem. Eng. Sci.<\/em>, <strong>299<\/strong>, 120505.<\/li>\r\n \t<li>Cenci, F., S. Diab, P. Ferrini, C. Harabajiu, M. Barolo, F. Bezzo, P. Facco (2024). <a href=\"https:\/\/doi.org\/10.1016\/j.ijpharm.2024.124233\">Predicting drug solubility in organic solvents mixtures: A machine-learning approach supported by high-throughput experimentation.<\/a> <em>Int. J. Pharm.<\/em>, <strong>660<\/strong>, 124233.<\/li>\r\n \t<li>Felices-Rando, B., F. Bezzo, E. Sforza (2024). Combined effect of light and temperature on microalgal biomass cultivation: comparison of empirical and mechanistic models. Presented at: <em>AlgalBBB 2024 \u2013 International Conference on Algal Biomass, Biofuels and Bioproducts, 10-12 June 2024, Clearwater, FL (U.S.A.)<\/em>.<\/li>\r\n \t<li>Tizzani, R., G. Barberi, P. Grendene, F. Bezzo, P. Facco, E. Sforza (2024). Dynamic design of experiments for high-value compound production from acidophilic Coccomyxa onubensis in a high cell density cultivation system. Presented at: <em>AlgalBBB 2024 \u2013 International Conference on Algal Biomass, Biofuels and Bioproducts, 10-12 June 2024, Clearwater, FL (U.S.A.)<\/em>.<\/li>\r\n \t<li>Sangoi, E., M. Quaglio, F. Bezzo, F. Galvanin (2024). <a href=\"https:\/\/doi.org\/10.1016\/j.compchemeng.2024.108752\">An optimal experimental design framework for fast kinetic model identification based on artificial neural networks.<\/a> <em>Comp. Chem. Eng.<\/em>, <strong>187<\/strong>, 108752.<\/li>\r\n \t<li>Beccaro, L., P. Facco, R.M. Dhenge, M.J. Khala, F. Bezzo, M. Barolo (2024). Transfer learning across equipment scales can accelerate pharmaceutical tablet development. Presented at: <em>Escape34-PSE2024, 34th European Symposium on Computer Aided Process Engineering and 15th International Symposium on Process Systems Engineering. Florence (Italy), 2-6 June 2024. Book of Abstract<\/em>, 235-236.<\/li>\r\n \t<li>Carnio, G., A. Di Pretoro, F. Bezzo, L. Montastruc (2024). <a href=\"https:\/\/doi.org\/10.1016\/B978-0-443-28824-1.50002-8\">Surrogate modeling application for process system emissions assessment: improving computational performances for plantwide estimations.<\/a> In: <em>Computer-Aided Chemical Engineering 53, Proc. of the 34th European Symposium on Computer Aided Process Engineering and 15th International Symposium on Process Systems Engineering<\/em> (F. Manenti, G.V. Reklaitis, Eds.), Elsevier, Amsterdam (The Netherlands), 7-12.<\/li>\r\n \t<li>Geremia, M., F. Bezzo, M.G. Ierapetritou (2024). <a href=\"https:\/\/doi.org\/10.1016\/B978-0-443-28824-1.50263-5\">Analyzing the effects of control strategies for determining process feasible space.<\/a> In: <em>Computer-Aided Chemical Engineering 53, Proc. of the 34th European Symposium on Computer Aided Process Engineering and 15th International Symposium on Process Systems Engineering<\/em> (F. Manenti, G.V. Reklaitis, Eds.), Elsevier, Amsterdam (The Netherlands), 1573-1578.<\/li>\r\n \t<li>E. Tamiazzo, G. Barberi, P. Diaz-Fernandez, G. Finka, P. Facco (2024). <a href=\"https:\/\/doi.org\/10.1016\/B978-0-443-28824-1.50516-0\">Enhancing cell culture understanding in the development of biopharmaceuticals by integrated first-principle modelling and machine-learning.<\/a> In: <em>Computer-Aided Chemical Engineering 53, Proc. of the 34th European Symposium on Computer Aided Process Engineering and 15th International Symposium on Process Systems Engineering<\/em> (F. Manenti, G.V. Reklaitis, Eds.), Elsevier, Amsterdam (The Netherlands), 3091-3096.<\/li>\r\n \t<li>Arnese-Feffin, E., P. Facco, D. Turati, F. Bezzo, M. Barolo (2024). <a href=\"https:\/\/doi.org\/10.1021\/acs.iecr.4c00590\">Understanding fouling in an industrial biorefinery membrane separation process by feature-oriented data-driven modeling.<\/a> <em>Ind. Eng. Chem. Res.<\/em>, <strong>63<\/strong>, 9136\u22129150.<\/li>\r\n \t<li>Saccardo, A., J. Wolf, F. Bezzo, B. Hankamer (2024). <a href=\"https:\/\/doi.org\/10.1016\/j.cej.2024.151684\">Modelling microalgae growth based on dynamic high throughput pulsed light screens.<\/a> <em>Chem. Eng. J.<\/em>, <strong>490<\/strong>, 151684.<\/li>\r\n \t<li>Bolourchian-Tabrizi, S.Z., W.R. Leal da Silva, E. Barbera, F. Bezzo (2024). Kinetic study on fly ash mineral carbonation. Presented at: <em>1st RILEM International Conference on Mineral Carbonation for Cement and Concrete, 16-17 April 2024, Aachen (Germany).<\/em><\/li>\r\n \t<li>Scomazzon, M., E. Barbera, F. Bezzo (2024). <a href=\"https:\/\/doi.org\/10.1016\/j.jece.2024.112674\">Alternative sustainable routes to methanol production: Techno-economic and environmental assessment.<\/a> <em>J. Env. Chem. Eng.<\/em>, <strong>12<\/strong>, 112674.<\/li>\r\n \t<li>Jul-J\u00f8rgensen, I., P. Facco, K.V. Gernaey, M. Barolo, C.A. Hundahl (2024). <a href=\"https:\/\/doi.org\/10.1016\/j.compchemeng.2024.108647\">Data fusion of Raman spectra in MSPC for fault detection and diagnosis in pharmaceutical manufacturing.<\/a> <em>Comp. Chem. Eng.<\/em>, <strong>184<\/strong>, 108647.<\/li>\r\n \t<li>Vison\u00e0, M., F. Bezzo, F. d\u2019Amore (2024). <a href=\"https:\/\/doi.org\/10.1016\/j.cej.2024.149982\">Techno-economic analysis of onboard CO2 capture for ultra-large container ships.<\/a> <em>Chem. Eng. J.<\/em>, <strong>485<\/strong>, 149982.<\/li>\r\n \t<li>d&#8217;Amore, F., L. Natalucci, M.C. Romano (2024). <a href=\"https:\/\/doi.org\/10.1016\/j.ccst.2023.100172\">Optimisation of ship-based CO2 transport chains from Southern Europe to the North Sea.<\/a> <em>Carbon Capture Sci. Technol.<\/em>, <strong>10<\/strong>, 100172.<\/li>\r\n \t<li>Geremia, M., F. Bezzo, M. Ierapetritou (2024). <a href=\"https:\/\/doi.org\/10.1016\/j.ejpb.2023.12.008\">Design space determination of pharmaceutical processes: effects of control strategies and uncertainty.<\/a> <em>Eur. J. Pharm. Biopharm.<\/em>, <strong>194<\/strong>, 159\u2013169.<\/li>\r\n \t<li>Geremia, M., G. Cisco, S. Diab, G. Bano, F. Bezzo (2024). <a href=\"https:\/\/doi.org\/10.1016\/j.compchemeng.2023.108542\">Targeting fidelity of pharmaceutical systems models by optimization of precision on parameter estimates.<\/a> <em>Comp. Chem. Eng.<\/em>, <strong>181<\/strong>, 108542.<\/li>\r\n \t<li>Cr\u00eestiu, D., F. d\u2019Amore, F. Bezzo (2024). <a href=\"https:\/\/doi.org\/10.1016\/j.compchemeng.2023.108503\" class=\"\">Economic and environmental optimisation of mixed plastic waste supply chains in Northern Italy comparing incineration and pyrolysis technologies.<\/a> <em>Comp. Chem. Eng.<\/em>, <strong>180<\/strong>, 108503.<\/li>\r\n \t<li>Gasparini, L., A. Benedetti, G. Marchese, C. Gallagher, P. Facco, M. Barolo (2024). <a href=\"https:\/\/doi.org\/10.1016\/j.compchemeng.2023.108469\" class=\"\">On the use of machine learning to generate in-silico data for batch process monitoring under small-data scenarios.<\/a> <em>Comp. Chem. Eng.<\/em>, <strong>180<\/strong>, 108469.<\/li>\r\n \t<li>Arnese-Feffin, E., P. Facco, D. Turati, F. Bezzo, M. Barolo (2024). <a href=\"https:\/\/doi.org\/10.1016\/j.ces.2023.119413\" class=\"\">Hybrid modeling of a biorefinery separation process to monitor short-term and long-term membrane fouling.<\/a> <em>Chem. Eng. Sci.<\/em>, <strong>283<\/strong>, 119413.<\/li>\r\n<\/ul>\r\n<h3>Year 2023<\/h3>\r\n<ul class=\"normallist\">\r\n \t<li>Felices-Rando, B., A. Fanesi, T. Martin, E. Sforza, F. Bezzo, F. Lopes (2023). Photosynthetic biofilms: Structure and activity in-situ monitoring. In: <em>Book of abstracts \u2013 AlgaEurope 2023, 12-15 December 2023, Prague, Czech Republic<\/em>.<\/li>\r\n \t<li>Geremia, M., F. Bezzo, M.G. Ierapetritou (2023). A novel methodology for the identification of complex process feasibility regions<em>. <\/em>Presented at: <em>AIChE 2023 Annual Meeting, 5 November-10 November 2023, Orlando, USA.<\/em><\/li>\r\n \t<li>Cr\u00eestiu, D., F. d\u2019Amore, F. Bezzo (2023). Waste-to-energy and chemical recycling of mixed plastic waste<em>.<\/em> Economic and environmental optimization of the Northern Italian supply chain. Presented at: <em>AIChE 2023 Annual Meeting, 5 November-10 November 2023, Orlando, USA.<\/em><\/li>\r\n \t<li>Sartori, F., P. Facco, F. Zuecco, F. Bezzo, M. Barolo (2023). <a href=\"https:\/\/doi.org\/10.1021\/acs.iecr.3c01897\" class=\"\">Optimal indicator-variable approach for trajectory synchronization in uneven-length multiphase batch processes.<\/a> <em>Ind. Eng. Chem. Res.<\/em>, <strong>62<\/strong>, 18511-18525.<\/li>\r\n \t<li>Cr\u00eestiu, D., F. d\u2019Amore, P. Mocellin, F. Bezzo (2023). <a href=\"https:\/\/doi.org\/10.1016\/j.ijggc.2023.103993\" class=\"\">Multi-Objective optimisation of a Carbon Capture and Sequestration supply chain under seismic risk constraints. A case study considering industrial emissions in Italy.<\/a> <em>Int. J. <\/em><em>Greenh. <\/em><em>Gas Con<\/em><em>.<\/em>, <strong>129<\/strong>, 103993.<\/li>\r\n \t<li>Felices-Rando, B., F. Bezzo, E. Sforza (2023). Combined effect of temperature and light intensity on microalgae growth in small scale photobioreactors. Presented at: <em>ECCE14 \u2013 The 14th European Congress of Chemical Engineering. ECAB7 \u2013 The 7th European Congress of Applied Biotechnology, 17-21 September 2023, Berlin, Germany<\/em>.<\/li>\r\n \t<li>Geremia, M., S. Diab, G. Bano, M. Barolo, F. Bezzo (2023). Targeting model complexity as a trade-off between calibration effort and prediction quality. Presented at: <em>ECCE14 \u2013 The 14th European Congress of Chemical Engineering. ECAB7 \u2013 The 7th European Congress of Applied Biotechnology, 17-21 September 2023, Berlin, Germany<\/em>.<\/li>\r\n \t<li>Tizzani, R., E. Sforza, F. Bezzo (2023). Effect of Residence Time and Light Quality on the Integrated Production of Phycoerythrin and Exopolysaccharide from Porphyridium marinum. Presented at: <em>ECCE14 \u2013 The 14th European Congress of Chemical Engineering. ECAB7 \u2013 The 7th European Congress of Applied Biotechnology, 17-21 September 2023, Berlin, Germany<\/em>.<\/li>\r\n \t<li>Geremia, M., F. Bezzo, M. Ierapetritou (2023). <a href=\"https:\/\/doi.org\/10.1016\/j.compchemeng.2023.108427\" class=\"\">A novel framework for the identification of complex feasible space.<\/a> <em>Comp. Chem. Eng.<\/em>, <strong>179<\/strong>, 10842.<\/li>\r\n \t<li>Cenci, F., A. Pankajakshan, P. Facco, F. Galvanin (2023). <a href=\"https:\/\/doi.org\/10.1016\/j.compchemeng.2023.108353\" class=\"\">An exploratory model-based design of experiments approach to aid parameters identification and reduce model prediction uncertainty.<\/a> <em>Comp. Chem. Eng.<\/em>, <strong>177<\/strong>, 108353.<\/li>\r\n \t<li>Geremia, M., F. Bezzo, M.G. Ierapetritou (2023). A novel framework to determine complex process feasibility. Presented at: <em>FOPAM 2023, Foundations of Process\/Product Analytics and Machine learning, 30 July -3 Aug 2023, Davis CA, USA<\/em>.<\/li>\r\n \t<li>Zhu, Q., P. Facco, Z. Zhao, M. Barolo (2023). Quality prediction with sequential-orthogonalized PLS: an explorative method to capture process topology. Presented at: <em>11th Colloquium Chemiometricum Mediterraneum, 27-30 June 2023, Padova, Italy. Book of abstracts<\/em>, 282.<\/li>\r\n \t<li>Gonzato, E., S. Curr\u00f2, P. Facco, E. Novelli, S. Balzan, L. Fasolato (2023). Feasibility of a near-infrared spectroscopy system to estimate the microbial load of seafood products. Presented at: <em>11th Colloquium Chemiometricum Mediterraneum, 27-30 June 2023, Padova, Italy. Book of abstracts<\/em>, 213.<\/li>\r\n \t<li>Barberi, G., A. Benedetti, P. Diaz-Fernandez, D.C. S\u00e9vin, J. Vappiani, G. Finka, F. Bezzo, P. Facco (2023). Accelerating cell lines selection in biopharmaceutical process development through data-driven modeling on metabolomic dynamic information. Presented at: <em>11th Colloquium Chemiometricum Mediterraneum, 27-30 June 2023, Padova, Italy. Book of abstracts<\/em>, 159.<\/li>\r\n \t<li>Arnese-Feffin, E., P. Facco, F. Bezzo, M. Barolo (2023). Estimation of null-space uncertainty in latent-variable model inversion: the case of correlated quality attributes. Presented at: <em>11th Colloquium Chemiometricum Mediterraneum, 27-30 June 2023, Padova, Italy. Book of abstracts<\/em>, 144.<\/li>\r\n \t<li>Botton, A., P. Facco, A. Ferrando, F. Bonacini, E. Mantovani, G. Marchetti (2023). Virtual Sensor to Forecast the Mooney Viscosity in an Industrial Rubber Production Process. Presented at: <em>11th Colloquium Chemiometricum Mediterraneum, 27-30 June 2023, Padova, Italy. Book of abstracts<\/em>, 128.<\/li>\r\n \t<li>Cenci, F., A. Pankajakshan, F. Galvanin, P. Facco (2023). Trade off between space exploration and information maximization in experimental design. Presented at: <em>11th Colloquium Chemiometricum Mediterraneum, 27-30 June 2023, Padova, Italy. Book of abstracts<\/em>, 34.<\/li>\r\n \t<li>Sartori, F., F. Zuecco, P. Facco, F. Bezzo, M. Barolo (2023). An automated pre-processing framework for uneven-length multiphase batch processes. Presented at: <em>11th Colloquium Chemiometricum Mediterraneum, 27-30 June 2023, Padova, Italy. Book of abstracts<\/em>, 24.<\/li>\r\n \t<li>Geremia, M., S. Diab, C. Christodoulou, G. Bano, M. Barolo, F. Bezzo (2023). <a href=\"https:\/\/doi.org\/10.1016\/j.ces.2023.118972\" class=\"\">A general procedure for the evaluation of the prediction fidelity of pharmaceutical systems models.<\/a> <em>Chem. Eng. Sci.<\/em>, <strong>280<\/strong>, 118972.<\/li>\r\n \t<li>Saccardo, A., B. Felices-Rando, E. Sforza, F. Bezzo (2023). <a href=\"https:\/\/doi.org\/10.1016\/B978-0-443-15274-0.50340-1\" class=\"\">Model-Based Design of Experiments for the identification of microalgae growth models with limiting nutrients.<\/a> In: <em>Computer-Aided Chemical Engineering 52, Proc. of the 33th European Symposium on Computer Aided Process Engineering<\/em> (A.C. Kokossis, M.C. Georgiadis, E. Pistikopoulos, Eds.), Elsevier, Amsterdam (The Netherlands), 2137-2142.<\/li>\r\n \t<li>Cieno, F., D. Cr\u00eestiu, F. d\u2019Amore, F. Bezzo (2023). <a href=\"https:\/\/doi.org\/10.1016\/B978-0-443-15274-0.50338-3\" class=\"\">Economic optimization of the Northern Italian supply chain for residual plastic packaging waste treatment.<\/a> In: <em>Computer-Aided Chemical Engineering 52, Proc. of the 33th European Symposium on Computer Aided Process Engineering<\/em> (A.C. Kokossis, M.C. Georgiadis, E. Pistikopoulos, Eds.), Elsevier, Amsterdam (The Netherlands), 2125-2130.<\/li>\r\n \t<li>Arnese-Feffin, E., P. Facco, D. Turati, F. Bezzo, M. Barolo (2023). <a href=\"https:\/\/doi.org\/10.1016\/B978-0-443-15274-0.50027-5\" class=\"\">Troubleshooting high-pressure issues in an industrial biorefinery process by feature-oriented modeling.<\/a> In: <em>Computer-Aided Chemical Engineering 52, Proc. of the 33th European Symposium on Computer Aided Process Engineering<\/em> (A. Kokossis, M.C. Georgiadis, E. Pistikopoulos, Eds.), Elsevier, Amsterdam (The Netherlands), 163-168.<\/li>\r\n \t<li>Geremia, M., S. Diab, C. Christodoulou, G. Bano, M. Barolo, F. Bezzo (2023). <a href=\"https:\/\/doi.org\/10.1016\/B978-0-443-15274-0.50007-X\" class=\"\">Assessing process systems models for pharmaceutical development.<\/a> In: <em>Computer-Aided Chemical Engineering 52, Proc. of the 33th European Symposium on Computer Aided Process Engineering<\/em> (A.C. Kokossis, M.C. Georgiadis, E. Pistikopoulos, Eds.), Elsevier, Amsterdam (The Netherlands), 39-44.<\/li>\r\n \t<li>Cenci, F., A. Pankajakshan, S. Gajere Bawa, A. Gavriilidis, P. Facco, F. Galvanin (2023). <a href=\"https:\/\/doi.org\/10.1016\/B978-0-443-15274-0.50001-9\" class=\"\">An exploratory model-based design of experiments technique to aid parameters identification and reduce prediction uncertainty.<\/a> In: <em>Computer-Aided Chemical Engineering 52, Proc. of the 33th European Symposium on Computer Aided Process Engineering<\/em> (A.C. Kokossis, M.C. Georgiadis, E. Pistikopoulos, Eds.), Elsevier, Amsterdam (The Netherlands), 1-6.<\/li>\r\n \t<li>Jul-J\u00f8rgensen, I., C. Hundahl, K. V. Gernaey, P. Facco, M. Barolo (2023). Variable selection of spectroscopy data in multivariate statistical process monitoring for fault detection and diagnosis. Presented at: <em>EuroPACT 2023 \u2012 6th European Conference on Process Analytics and Control Technology, Copenhagen (Denmark), 7-10 May<\/em>.<\/li>\r\n \t<li>Saccardo, A., B. Felices-Rando, E. Sforza, F. Bezzo (2023). <a href=\"https:\/\/doi.org\/10.1016\/j.cej.2023.143577\" class=\"\">Droop model identification via Model-Based Design of Experiments to describe microalgae nitrogen uptake in continuous photobioreactors.<\/a> <em>Chem. Eng. J.<\/em>, <strong>468<\/strong>, 143577.<\/li>\r\n \t<li>Castaldello, C., P. Facco, F. Bezzo, C. Georgakis, M. Barolo (2023). <a href=\"https:\/\/doi.org\/10.1002\/aic.17925\" class=\"\">Data-driven tools for the optimization of a pharmaceutical process through its knowledge-driven model.<\/a> <em>AIChE J.<\/em>, <strong>69<\/strong>, e17925.<\/li>\r\n \t<li>Destro, F., M. Barolo, Z.K. Nagy (2023). <a href=\"https:\/\/doi.org\/10.1002\/aic.17926\" class=\"\">Quality-by-control of intensified continuous filtration-drying of active pharmaceutical ingredients.<\/a> <em>AIChE J.<\/em>, <strong>69<\/strong>, e17926.<\/li>\r\n<\/ul>\r\n<h3>Year 2022<\/h3>\r\n<ul class=\"normallist\">\r\n \t<li>F. Bezzo (2022). Digitalgaesation: A knowledge-based training network for digitalisation of photosynthetic bioprocesses. Presented at: <em>AlgaEurope 2022, 13-15 December 2022, Rome (Italy)<\/em>.<\/li>\r\n \t<li>Cr\u00eestiu, D., F. d\u2019Amore, P. Mocellin, F. Bezzo (2022). <a href=\"http:\/\/doi.org\/10.3303\/CET2296015\" class=\"\">Optimizing carbon capture and sequestration chains from industrial sources under seismic risk constraints.<\/a> <em>Chem. Eng. Trans.<\/em>, <strong>96<\/strong>, 85-90.<\/li>\r\n \t<li>Sartori, F., F. Zuecco, P. Facco, F. Bezzo, M. Barolo (2022). <a href=\"http:\/\/doi.org\/10.3303\/CET2296039\" class=\"\">Data analytics can help reduce energy consumption in the industrial manufacturing of specialty chemicals.<\/a> <em>Chem. Eng. Trans.<\/em>, <strong>96<\/strong>, 229-234.<\/li>\r\n \t<li>Destro, F., M. Barolo, Z. K. Nagy (2022). Introducing ContCarSim, a benchmark simulator for design and control of continuous integrated filtration-drying of crystallization slurries. Presented at:<em> the AIChE Annual Meeting, Phoenix, AZ (U.S.A.), November 13-18, 2022<\/em>.<\/li>\r\n \t<li>Botton, A., G. Barberi, P. Facco (2022). <a href=\"https:\/\/doi.org\/10.3390\/pr10091796\" class=\"\">Data augmentation to support biopharmaceutical process development through digital models\u2014A proof of concept.<\/a> <em>Processes<\/em>, <strong>10<\/strong>, 1796.<\/li>\r\n \t<li>Saccardo, A., B. Felices-Rando, F. Bezzo, E. Sforza (2022). Modelling the dynamics of microalgae growth in continuous photobioreactors under different nitrogen concentration. Presented at: <em>Convegno AISAM 2022, 16-18 October 2022, Naples (Italy)<\/em>.<\/li>\r\n \t<li>Zanella, L., P. Facco, F. Bezzo, E. Cimetta (2022). <a href=\"https:\/\/doi.org\/10.3390\/ijms23169087\" class=\"\">Feature selection and molecular classification of cancer phenotypes: A comparative study.<\/a> <em>Int. J. Mol. Sci.<\/em>, <strong>23<\/strong>, 9087.<\/li>\r\n \t<li>Saccardo, A., F. Bezzo, E. Sforza (2022). <a href=\"https:\/\/doi.org\/10.3389\/fbioe.2022.977429\" class=\"\">Microalgae growth in ultrathin steady-state continuous photobioreactors: Assessing self-shading effects.<\/a> <em>Front. Bioeng. Biotechnol.<\/em>, <strong>10<\/strong>, 977429.<\/li>\r\n \t<li>Arnese-Feffin, E., P. Facco, F. Bezzo, M. Barolo (2022). <a href=\"https:\/\/doi.org\/10.1016\/j.chemolab.2022.104610\" class=\"\">Digital design of new products: accounting for output correlation via a novel algebraic formulation of the latent-variable model inversion problem.<\/a> <em>Chemom. Intell. Lab. Sys.<\/em>, <strong>227<\/strong>, 104610.<\/li>\r\n \t<li>d\u2019Amore, F., G. Marcato, P. Mocellin, F. Bezzo (2022). <a href=\"https:\/\/doi.org\/10.1016\/B978-0-323-95879-0.50262-9\" class=\"\">A framework for economic optimization of carbon capture and sequestration from Italian industrial sources under seismic risk constraints.<\/a> In: <em>Computer-Aided Chemical Engineering 51, Proc. of the 32th European Symposium on Computer Aided Process Engineering<\/em> (L. Montastruc, S. Negny, Eds.), Elsevier, Amsterdam (The Netherlands), 1567-1572.<\/li>\r\n \t<li>Cenci, F., G. Bano, C. Christodoulou, Y. Vueva, S. Zomer, M. Barolo, F. Bezzo, P. Facco (2022). <a href=\"https:\/\/doi.org\/10.1016\/B978-0-323-95879-0.50005-9\" class=\"\">Reducing the experimental effort to design pharmaceutical tablet lubrication by model-based design of experiments.<\/a> In: <em>Computer-Aided Chemical Engineering 51, Proc. of the 32th European Symposium on Computer Aided Process Engineering<\/em> (L. Montastruc, S. Negny, Eds.), Elsevier, Amsterdam (The Netherlands), 25-30.<\/li>\r\n \t<li>Destro, F., M. Barolo, Z.K. Nagy (2022). <a href=\"https:\/\/doi.org\/10.1016\/B978-0-323-85159-6.50234-7\" class=\"\">Model-based monitoring of an intensified unit for continuous pharmaceutical filtration-drying.<\/a> In: <em>Computer-Aided Chemical Engineering 49, Proc. of the 14th International Symposium on Process Systems Engineering \u2013 PSE 2021+, June 19-23 2022<\/em> (Y. Yamashita, M. Kano, Eds.), Elsevier, Amsterdam (The Netherlands), 1405-1410.<\/li>\r\n \t<li>Sangoi, E., M. Quaglio, F. Bezzo, F. Galvanin (2022). <a href=\"https:\/\/doi.org\/10.1016\/B978-0-323-85159-6.50136-6\" class=\"\">Optimal design of experiments based on artificial neural network classifiers for fast kinetic model recognition.<\/a> In: <em>Computer-Aided Chemical Engineering 49, Proc. of the 14th International Symposium on Process Systems Engineering \u2013 PSE 2021+, June 19-23 2022<\/em> (Y. Yamashita, M. Kano, Eds.), Elsevier, Amsterdam (The Netherlands), 817-822.<\/li>\r\n \t<li>Destro, F., Z. K. Nagy, M. Barolo (2022). <a href=\"https:\/\/doi.org\/10.1016\/j.compchemeng.2022.107809\" class=\"\">A benchmark simulator for quality-by-design and quality-by-control studies in continuous pharmaceutical manufacturing \u2012 Intensified filtration-drying of crystallization slurries.<\/a> <em>Comp. Chem. Eng.<\/em>, <strong>163<\/strong>, 10780.<\/li>\r\n \t<li>Barberi, G., A. Benedetti, P. Diaz-Fernandez, D.C. S\u00e9vin, J. Vappiani, G. Finka, F. Bezzo, M. Barolo, P. Facco (2022). <a href=\"https:\/\/doi.org\/10.1016\/j.ymben.2022.03.015\" class=\"\">Integrating metabolome dynamics and process data to guide cell line selection in biopharmaceutical process development.<\/a> <em>Metab. Eng.<\/em>, <strong>72<\/strong>, 353\u2013364.<\/li>\r\n \t<li>Destro, F., M. Barolo (2022). <a href=\"http:\/\/doi.org\/10.1016\/j.ijpharm.2022.121715\" class=\"\">A review on the modernization of pharmaceutical development and manufacturing \u2012 Trends, perspectives, and the role of mathematical modeling.<\/a><em> Int. J. Pharm.<\/em>, <strong>620<\/strong>, 121715.<\/li>\r\n \t<li>Laky, D.J., D. Casas-Orozco, F. Destro, M. Barolo, G.V. Reklaitis, Z.K. Nagy (2022). <a href=\"http:\/\/doi.org\/10.1007\/978-3-030-90924-6_10\" class=\"\">Integrated synthesis, crystallization, filtration, and drying of active pharmaceutical ingredients: a model-based digital design framework for process optimization and control.<\/a>In: <em>Optimization of Pharmaceutical Processes<\/em> (A. Fytopoulos, R. Ramachandran, P.M. Pardalos, Eds). <em>Springer Optimization and Its Applications<\/em>, vol. 189. Springer, Cham (Switzerland), 253-287.<\/li>\r\n \t<li>Barberi, G., A. Benedetti, P. Diaz-Fernandez, D.C. S\u00e9vin, J. Vappiani, G. Finka, F. Bezzo, P. Facco (2022). Accelerating cell lines selection in biopharmaceutical process development through machine learning on process and metabolomic dynamics information. Presented at: <em>36th International Forum Process Analytical Technology (IFPAC), 12th June \u2013 15th June 2022, North Bethesda, MD (U.S.A.)<\/em>.<\/li>\r\n \t<li>Geremia, M., G. Bano, E. Tomba, M. Barolo, F. Bezzo (2022). <a href=\"https:\/\/doi.org\/10.1016\/j.ijpharm.2022.121699\" class=\"\">Practical use of primary drying models in an industrial environment with limited availability of equipment sensors<\/a>. <em>Int. J. Pharm.<\/em>, <strong>619<\/strong>, 121699.<\/li>\r\n \t<li>Cenci, F., G. Bano, C. Christodoulou, Y. Vueva, S. Zomer, M. Barolo, F. Bezzo, P. Facco (2022). <a href=\"https:\/\/doi.org\/10.1016\/j.ijpharm.2021.121435\" class=\"\">Streamlining tablet lubrication design via model-based design of experiments.<\/a> <em>Int. J. Pharm.<\/em>, <strong>614<\/strong>, 121435.<\/li>\r\n<\/ul>\r\n<h3>Year 2021<\/h3>\r\n<ul class=\"normallist\">\r\n \t<li>Barberi, G., V. Gonz\u00e1lez-Alonso, S. Spilimbergo, M. Barolo, A. Zambon, P. Facco (2021). <a href=\"https:\/\/doi.org\/10.3390\/foods10122999\" class=\"\">Optimization of the appearance quality in CO2 processed ready-to-eat carrots through image analysis.<\/a> <em>Foods<\/em>, <strong>10<\/strong>, 2999.<\/li>\r\n \t<li>Saccardo, A., E. Sforza, F. Bezzo (2021). Using a milli-scale continuous photobioreactor for steady state analysis of light and residence time on cell growth. Presented at: <em>Workshop Giovani AISAM, 24th September 2021, Rome (Italy)<\/em>.<\/li>\r\n \t<li>Castaldello, C., A. Gubert, E. Sforza, P. Facco, F. Bezzo (2021). <a href=\"https:\/\/doi.org\/10.3390\/chemengineering5030049\" class=\"\">Microalgae monitoring in microscale photobioreactors via multivariate image analysis.<\/a> <em>ChemEngineering<\/em>, <strong>5<\/strong>, 49.<\/li>\r\n \t<li>Marechal, F., F. Bezzo, T. Damartzis, Eds. (2021). <a href=\"https:\/\/doi.org\/10.3389\/978-2-88971-059-1\" class=\"\"><em>Energy and Chemical Engineering \u2013 Outcomes from the EFCE Energy Section in the 12th European Congress on Chemical Engineering (ECCE12)<\/em>.<\/a> Frontiers, Lausanne (Switzerland).<\/li>\r\n \t<li>Destro, F., S. Garc\u00eda-Mu\u00f1oz, F. Bezzo, M. Barolo (2021). <a href=\"https:\/\/doi.org\/10.1016\/j.ijpharm.2021.120808\" class=\"\">Powder composition monitoring in continuous pharmaceutical solid-dosage form manufacturing using state estimation \u2013 Proof of concept.<\/a><em> Int. J. Pharm.<\/em>, <strong>695<\/strong>, 120808.<\/li>\r\n \t<li>Zuecco, F., M. Cicciotti, P. Facco, F. Bezzo, M. Barolo (2021). <a href=\"https:\/\/doi.org\/10.3390\/pr9061074\" class=\"\">Backstepping methodology to troubleshoot plant-wide batch processes in data-rich industrial environments.<\/a> <em>Processes<\/em>, <strong>9<\/strong>, 1074.<\/li>\r\n \t<li>Destro, F., I. Hur, V. Wang, M. Abdi, X. Feng, E. Wood, S. Coleman, P. Firth, A. Barton, M. Barolo, Z. K. Nagy (2021). <a href=\"https:\/\/doi.org\/10.1016\/j.ces.2021.116803\" class=\"\">Mathematical modeling and digital design of an intensified filtration-washing-drying unit for pharmaceutical continuous manufacturing.<\/a> <em>Chem. Eng. Sci.<\/em>, <strong>244<\/strong>, 116803.<\/li>\r\n \t<li>d\u2019Amore, F., M.C. Romano, F. Bezzo (2021). <a href=\"https:\/\/doi.org\/10.1016\/j.ijggc.2021.103372\" class=\"\">Optimal design of European supply chains for carbon capture and storage from industrial emission sources including pipe and ship transport.<\/a> <em>Int. J. Greenh. Gas Con.<\/em>, <strong>109<\/strong>, 10337.<\/li>\r\n \t<li>Barberi, G., A. Benedetti, P. Diaz-Fernandez, G. Finka, F. Bezzo, M. Barolo, P. Facco (2021). <a href=\"http:\/\/doi.org\/10.1016\/j.ifacol.2021.08.223\" class=\"\">Anticipated cell lines selection in bioprocess scale-up through machine learning on metabolomics dynamics.<\/a> <em>IFAC PapersOnLine<\/em>, <strong>54<\/strong>, 85-90.<\/li>\r\n \t<li>Destro, F., S. Coleman, P. Firth, A. Barton, M. Barolo, Z. K. Nagy (2021). <a href=\"http:\/\/doi.org\/10.1016\/j.ifacol.2021.08.231\" class=\"\">Continuous integrated filtration, washing and drying of aspirin: digital design of a novel intensified unit.<\/a> <em>IFAC PapersOnLine<\/em>, <strong>54<\/strong>, 134-139.<\/li>\r\n \t<li>d\u2019Amore, F., M.C. Romano, F. Bezzo (2021). <a href=\"http:\/\/doi.org\/10.1016\/j.ifacol.2021.08.309\" class=\"\">Optimising carbon capture and storage supply shains for the European Industry.<\/a> <em>IFAC PapersOnLine<\/em>, <strong>54<\/strong>, 609-614.<\/li>\r\n \t<li>Destro, F., V. Wang, M. Abdi, X. Feng, E. Wood, S. Coleman, P. Firth, A. Barton, M. Barolo, Z.K. Nagy (2021). <a href=\"https:\/\/doi.org\/10.1016\/B978-0-323-88506-5.50210-2\" class=\"\">Quality-by-Control of continuous drug substance isolation: study on a novel unit for integrated filtration-drying.<\/a> In: <em>Computer-Aided Chemical Engineering 50, Proc. of the 31st European Symposium on Computer Aided Process Engineering<\/em> (M. T\u00fcrkay, R. Gani, Eds.), Elsevier, Amsterdam (The Netherlands), 1363-1369.<\/li>\r\n \t<li>d\u2019Amore, F., M.C. Romano, F. Bezzo (2021). <a href=\"https:\/\/doi.org\/10.1016\/j.jclepro.2020.125202\" class=\"\">Carbon capture and storage from energy and industrial emission sources: a Europe-wide supply chain optimization.<\/a> <em>J. Clean. Prod.<\/em>, <strong>290<\/strong>, 125202.<\/li>\r\n \t<li>Soave, N., M. Barolo (2021). <a href=\"https:\/\/doi.org\/10.3390\/pr9020244\" class=\"\">On the effectiveness of heat-exchanger bypass control<\/a>. <em>Processes<\/em>, <strong>9<\/strong>, 244.<\/li>\r\n<\/ul>\r\n<h3>Year 2020<\/h3>\r\n<ul class=\"normallist\">\r\n \t<li>Destro, F., S. Garc\u00eda Mu\u00f1oz, F. Bezzo, M. Barolo (2020). Monitoring loss-in-weight feeders through state estimation. Presented at: <em>the 2020 Virtual AIChE Annual Meeting, November 16-20<\/em>.<\/li>\r\n \t<li>Destro, F., I. Hur, V. Wang, M. Abdi, X. Feng, E. Wood, M. Barolo, Z. K. Nagy (2020). Digital design of an intensified filtration-drying unit for pharmaceutical upstream manufacturing. Presented at: <em>the 2020 Virtual AIChE Annual Meeting, November 16-20<\/em>.<\/li>\r\n \t<li>De-Luca, R., G. Bano, E. Tomba, F. Bezzo, M. Barolo (2020). <a href=\"https:\/\/doi.org\/10.1021\/acs.iecr.0c03115\" class=\"\">Accelerating the development and transfer of freeze-drying operations for the manufacturing of biopharmaceuticals by model-based design of experiments<\/a>. <em>Ind. Eng. Chem. Res.<\/em>, <strong>59<\/strong>, 20071\u221220085.<\/li>\r\n \t<li>Facco, P., S. Zomer, R.C. Rowland-Jones, D. Marsh, P. Diaz-Fernandez, G. Finka, F. Bezzo, M. Barolo (2020). <a href=\"https:\/\/doi.org\/10.1016\/j.bej.2020.107791\" class=\"\">Using data analytics to accelerate biopharmaceutical process scale-up<\/a>. <em>Biochem Eng. J.<\/em>, <strong>164<\/strong>, 107791.<\/li>\r\n \t<li>d\u2019Amore, F., F. Bezzo (2020). <a href=\"https:\/\/doi.org\/10.3389\/fenrg.2020.00190\" class=\"\">Optimizing the design of supply chains for carbon capture, utilization and sequestration in Europe: a preliminary assessment<\/a>. <em>Front. Energy Res<\/em>., <strong>8<\/strong>, 190.<\/li>\r\n \t<li>Bano, G., R. De-Luca, E. Tomba, F. Bezzo, M. Barolo (2020). <a href=\"https:\/\/doi.org\/10.1016\/B978-0-12-823377-1.50010-0\" class=\"\">A stochastic modelling approach to describe the effect of drying heterogeneity in the lyophilisation of pharmaceutical vaccines<\/a>. In: <em>Computer-Aided Chemical Engineering 48, Proc. of the 30th European Symposium on Computer Aided Process Engineering<\/em> (S. Pierucci, F. Manenti, G.L. Bozzano, D. Manca, Eds.), Elsevier, Amsterdam (The Netherlands), 55-60.<\/li>\r\n \t<li>Zuecco, F., P. Facco, F. Bezzo, S.R. Hoeser, M.R. Fogli, M. Cicciotti, M. Barolo (2020). <a href=\"https:\/\/doi.org\/10.1016\/B978-0-12-823377-1.50189-0\" class=\"\">Troubleshooting an industrial batch process for the manufacturing of specialty chemicals using data analytics<\/a>. In: <em>Computer-Aided Chemical Engineering 48, Proc. of the 30th European Symposium on Computer Aided Process Engineering<\/em> (S. Pierucci, F. Manenti, G.L. Bozzano, D. Manca, Eds.), Elsevier, Amsterdam (The Netherlands), 1129-1134.<\/li>\r\n \t<li>d\u2019Amore, F., L. Lovisotto, F. Bezzo (2020). <a href=\"https:\/\/doi.org\/10.1016\/B978-0-12-823377-1.50222-6\" class=\"\">A European optimisation tool for carbon capture and storage, accounting for delays in public procurement<\/a>. In: <em>Computer-Aided Chemical Engineering 48, Proc. of the 30th European Symposium on Computer Aided Process Engineering<\/em> (S. Pierucci, F. Manenti, G.L. Bozzano, D. Manca, Eds.), Elsevier, Amsterdam (The Netherlands), 1327-1332.<\/li>\r\n \t<li>Destro, F., A.J. Salmon, P. Facco, C.C. Pantelides, F. Bezzo, M. Barolo (2020). <a href=\"https:\/\/doi.org\/10.1016\/j.ifacol.2020.12.646\" class=\"\">Monitoring a segmented fluid bed dryer by hybrid data-driven\/knowledge-driven modeling<\/a>. <em>IFAC-PapersOnLine<\/em>, <strong>53<\/strong>, 11638-11643.<\/li>\r\n \t<li>Barbera, E., F. Mantoan, A. Bertucco, F. Bezzo (2020). <a href=\"https:\/\/doi.org\/10.1002\/cjce.23755\" class=\"\">Hydrogenation to convert CO2 to C1 chemicals: technical comparison of different alternatives by process simulation<\/a>. <em>Can. J. Chem. Eng.<\/em>, <strong>98<\/strong>, 1893\u20131906.<\/li>\r\n \t<li>Destro, F., P. Facco, S. Garcia-Mu\u00f1oz, F. Bezzo, M. Barolo (2020). <a href=\"https:\/\/doi.org\/10.1016\/j.jprocont.2020.06.002\" class=\"\">A hybrid framework for process monitoring: Enhancing data-driven methodologies with state and parameter estimation<\/a>. <em>J. Process Cont.<\/em>, <strong>92<\/strong>, 333-351.<\/li>\r\n \t<li>Zanella, L., P. Fusco, M.R. Esposito, P. Facco, F. Bezzo, E. Cimetta (2020). Employing heterogeneous ensembles of classifiers to assess the Impact of hypoxia in the protein expression of neuroblastoma-derived exosomes. Presented at: <em>RECOMB2020 \u2013 24th International Conference On Research In Computational Molecular Biology, 22-25 June 2020, Padova (Italy)<\/em>.<\/li>\r\n \t<li>Bano, G., R. De-Luca, E. Tomba, A. Marcelli, F. Bezzo, M. Barolo (2020). <a href=\"https:\/\/doi.org\/10.1021\/acs.iecr.9b06402\" class=\"\">Primary drying optimization in pharmaceutical freeze-drying: a multi-vial stochastic modeling framework<\/a>. <em>Ind. Eng. Chem. Res.<\/em>, <strong>59<\/strong>, 5056\u22125071.<\/li>\r\n \t<li>d\u2019Amore, F., F. Bezzo (2020). <a href=\"https:\/\/doi.org\/10.1002\/aic.16872\" class=\"\">Optimal design of European cooperative supply chains for carbon capture, transport and sequestration with costs share policies<\/a>. <em>AIChE J.<\/em>, <strong>66<\/strong>, e16872.<\/li>\r\n \t<li>Palac\u00ed-L\u00f3pez, D., P. Villalba, P. Facco, M. Barolo, A. Ferrer (2020). <a href=\"https:\/\/doi.org\/10.1002\/cem.3230\" class=\"\">Improved formulation of the latent variable model inversion-based optimization problem for quality by design applications<\/a>. <em>J. Chemom.<\/em>, <strong>34<\/strong>, e3230.<\/li>\r\n \t<li>d\u2019Amore, F., L. Lovisotto, F. Bezzo (2020). <a href=\"http:\/\/doi.org\/10.1016\/j.jclepro.2019.119337\" class=\"\">Introducing social acceptance into the design of carbon capture and sequestration supply chains: a case study at a European level<\/a>. <em>J. Clean. Prod.<\/em>, <strong>249<\/strong>, 119337.<\/li>\r\n<\/ul>\r\n<h3>Year 2019<\/h3>\r\n<ul class=\"normallist\">\r\n \t<li>Castaldello, C., E. Sforza, E. Cimetta, T. Morosinotto, F. Bezzo (2019). <a href=\"https:\/\/doi.org\/10.1021\/acs.iecr.9b02888\" class=\"\">Microfluidic platform for microalgae cultivation under non-limiting CO2 conditions<\/a>. <em>Ind. Eng. Chem. Res.<\/em>, <strong>58<\/strong>, 18036\u221218045.<\/li>\r\n \t<li>Palac\u00ed-L\u00f3pez, D., P. Facco, M. Barolo, A. Ferrer (2019). <a href=\"https:\/\/doi.org\/10.1016\/j.chemolab.2019.103848\" class=\"\">New tools for the design and manufacturing of new products based on latent variable model inversion<\/a>. <em>Chemom. Intell. Lab. Sys.<\/em>, <strong>194<\/strong>, 103848.<\/li>\r\n \t<li>Ghidoni, S., M. Fedeli, M. Barolo (2019). <a href=\"https:\/\/doi.org\/10.1007\/978-3-030-29872-2_11\" class=\"\">Sharing active learning practices to improve teaching: peer observation of active teaching in a School of Engineering<\/a>. In: <em>Connecting Adult Learning and Knowledge Management \u2012 Strategies for Learning and Change in Higher Education and Organizations<\/em> (M. Fedeli and L.L. Bierema, Eds.), Springer, Cham (Switzerland), 199-213.<\/li>\r\n \t<li>Tomba, E., R. De-Luca, G. Bano, F. Bezzo, M. Barolo (2019). Towards digitalization of pharma industry: advanced design of experiments approaches to generate highly informative data for lyophilization process development. Presented at: <em>Pharmaceutical Freeze Drying Technology \u2013 PDA Exchange Series, 24-25 September 2019, Berlin (Germany)<\/em>.<\/li>\r\n \t<li>d\u2019Amore, F., F. Bezzo (2019). Optimal design of supply chains for carbon capture, storage, and utilisation. In: <em>ECCE12 \u2013 The 12th European Congress of Chemical Engineering. ECAB5 \u2013 The 5th European Congress of Applied Biotechnology, 15-19 September 2019, Florence, Italy. Book of abstracts<\/em>, 9.<\/li>\r\n \t<li>De Luca, R., G. Bano, E. Tomba, F. Bezzo, M. Barolo (2019). Improving the calibration of freeze drying models by model-based design of experiments. In: <em>ECCE12 \u2013 The 12th European Congress of Chemical Engineering. ECAB5 \u2013 The 5th European Congress of Applied Biotechnology, 15-19 September 2019, Florence, Italy. Book of abstracts<\/em>, 1573.<\/li>\r\n \t<li>Castaldello, C., E. Sforza, F. Bezzo (2019). Scenedesmus obliquus growth in semi-batch microphotobioreactor under non limiting CO2 supply. In: <em>ECCE12 \u2013 The 12th European Congress of Chemical Engineering. ECAB5 \u2013 The 5th European Congress of Applied Biotechnology, 15-19 September 2019, Florence, Italy. Book of abstracts<\/em>, 1587.<\/li>\r\n \t<li>d\u2019Amore, F., V. Baldo, F. Bezzo (2019). The contribution of CO2 utilisation to GHG emission reduction: some results based on a European supply chain optimisation. In: <em>ECCE12 \u2013 The 12th European Congress of Chemical Engineering. ECAB5 \u2013 The 5th European Congress of Applied Biotechnology, 15-19 September 2019, Florence, Italy. Book of abstracts<\/em>, 2077.<\/li>\r\n \t<li>Facco, P., S. Zomer, R.C. Rowland-Jones, D. Marsh, P. Diaz-Fernandez, G. Finka, F. Bezzo, M. Barolo (2019). Scale-up\/down of a monoclonal antibody manufacturing bioprocess using data analytics. In: <em>Proc. Foundations of Process Analytics and Machine learning (FOPAM), 6-9 August 2019, Raleigh, U.S.A.<\/em>, Article #20.<\/li>\r\n \t<li>Quaglio, M., F. Bezzo, A. Gavriilidis, E. Cao, N. Al-Rifai, F. Galvanin (2019). <a href=\"https:\/\/doi.org\/10.1002\/aic.16707\" class=\"\">Identification of kinetic models of methanol oxidation on silver in the presence of uncertain catalyst behaviour<\/a>. <em>AIChE J.<\/em>, <strong>65<\/strong>, e16707.<\/li>\r\n \t<li>d\u2019Amore, F., N. Sunny, D. Iruretagoyena, F. Bezzo, N. Shah (2019). <a href=\"https:\/\/doi.org\/10.1016\/j.compchemeng.2019.106521\" class=\"\">European supply chains for carbon capture, transport and sequestration, with uncertainties in geological storage capacity: insights from economic optimisation<\/a>. <em>Comp. Chem. Eng.<\/em>, <strong>129<\/strong>, 106521.<\/li>\r\n \t<li>Taverna, B., A. Casonato, F. Bezzo, F. Galvanin (2019). <a href=\"https:\/\/doi.org\/10.1016\/j.cmpb.2019.104989\" class=\"\">A framework for the optimal design of a minimum set of clinical trials to characterize von Willebrand disease<\/a>. <em>Comp. Meth. Prog. Bio.<\/em>, <strong>179<\/strong>, 104989.<\/li>\r\n \t<li>Zanella, L., P. Fusco, M.R. Esposito, P. Facco, F. Bezzo, E. Cimetta (2019). A data-driven approach to assess the role of neuroblastoma-derived exosomes in cancer dissemination. Presented at: <em>CIBCB 2019 \u2013 16th IEEE International Conference on Computational Intelligence in Bioinformatics and Computational Biology, 9-11 July 2019, Siena, Italy<\/em>.<\/li>\r\n \t<li>De Luca, R., G. Bano, E. Tomba, F. Bezzo, M. Barolo (2019). Model-based design of experiments to enable fast product transfer across freeze-drying units. In: <em>Proc. EuroDrying2019 \u2013 7th European Drying Conference, 10-12 July 2019, Torino (Italy)<\/em>, 235-239.<\/li>\r\n \t<li>d\u2019Amore, F., N. Sunny, D. Iruretagoyena, F. Bezzo, N. Shah (2019). <a href=\"http:\/\/doi.org\/10.1016\/B978-0-12-818634-3.50034-5\" class=\"\">Optimising European supply chains for carbon capture, transport and sequestration, including uncertainty on geological storage availability<\/a>. In: <em>Computer-Aided Chemical Engineering 46, Proc. of the 29th European Symposium on Computer Aided Process Engineering<\/em> (A.A. Kiss, E. Zondervan, R. Lakerveld, and L. \u00d6zkan, Eds.), Elsevier, Amsterdam (The Netherlands), 199-204.<\/li>\r\n \t<li>Bano, G., P. Facco, M. Ierapetritou, F. Bezzo, M. Barolo (2019). <a href=\"http:\/\/doi.org\/10.1016\/B978-0-12-818634-3.50111-9\" class=\"\">Real-time design space description in pharmaceutical manufacturing<\/a>. In: <em>Computer-Aided Chemical Engineering 46, Proc. of the 29th European Symposium on Computer Aided Process Engineering<\/em> (A.A. Kiss, E. Zondervan, R. Lakerveld, and L. \u00d6zkan, Eds.), Elsevier, Amsterdam (The Netherlands), 661-666.<\/li>\r\n \t<li>Bortoli, A., F. Bezzo, F. Galvanin (2019). <a href=\"http:\/\/doi.org\/10.1016\/B978-0-12-818634-3.50115-6\" class=\"\">Optimal design of experiments for the identification of kinetic models of 5-hydroxymethylfurfural hydrogenation<\/a>. In: <em>Computer-Aided Chemical Engineering 46, Proc. of the 29th European Symposium on Computer Aided Process Engineering<\/em> (A.A. Kiss, E. Zondervan, R. Lakerveld, and L. \u00d6zkan, Eds.), Elsevier, Amsterdam (The Netherlands), 685-690.<\/li>\r\n \t<li>Bano, G., P. Facco, M. Ierapetritou, F. Bezzo, M. Barolo (2019). <a href=\"https:\/\/doi.org\/10.1016\/j.compchemeng.2019.05.019\" class=\"\">Design space maintenance by online model adaptation in pharmaceutical manufacturing<\/a>. <em>Comp. Chem. Eng.<\/em>, <strong>127<\/strong>, 254\u2013271.<\/li>\r\n \t<li>d\u2019Amore, F., L. Lovisotto, F. Bezzo (2019). Can we include public acceptance effects in the optimal design of CCS supply chains? A European case study. Presented at: <em>Gordon Research Conference: Carbon capture, utilization and storage, 5-10 May 2019, Les Diablerets (Switzerland).<\/em><\/li>\r\n \t<li>Perin, G., A. Bellan, A. Bernardi, F. Bezzo, T. Morosinotto (2019). <a href=\"https:\/\/doi.org\/10.1111\/ppl.12915\" class=\"\">The potential of quantitative methods to improve microalgae photosynthetic efficiency<\/a>. <em>Physiol. Plantarum<\/em>, <strong>166<\/strong>, 380\u2013391.<\/li>\r\n \t<li>Benedetti, A., J. Khoo, S. Sharma, P. Facco, M. Barolo, S. Zomer (2019). <a href=\"https:\/\/doi.org\/10.1016\/j.ijpharm.2019.04.002\" class=\"\">Data analytics on raw material properties to accelerate pharmaceutical drug development<\/a>. <em>Int. J. Pharm.<\/em>, <strong>563<\/strong>, 122-134.<\/li>\r\n \t<li>Albarello, A., D. Simionato, T. Morosinotto, F. Bezzo (2019). <a href=\"http:\/\/doi.org\/10.1021\/acs.iecr.9b00270\" class=\"\">Model-based optimization of microalgae growth in a batch plant<\/a>. <em>Ind. Eng. Chem. Res.<\/em>, <strong>58<\/strong>, 5121\u22125130.<\/li>\r\n \t<li>De-Luca, R., F. Bezzo, Q. B\u00e9chet, O. Bernard (2019). <a href=\"https:\/\/doi.org\/10.1155\/2019\/4363895\" class=\"\">Meteorological data-based optimal control strategy for microalgae cultivation in open pond systems<\/a>. <em>Complexity<\/em>, <strong>2019<\/strong>, ID 4363895.<\/li>\r\n<\/ul>\r\n<h3>Year 2018<\/h3>\r\n<ul class=\"normallist\">\r\n \t<li>De-Luca, R., M. Trabuio, M. Barolo, F. Bezzo (2018). <a href=\"https:\/\/doi.org\/10.1016\/j.compchemeng.2018.07.005\" class=\"\">Microalgae growth optimization in open ponds with uncertain weather data<\/a>. <em>Comp. Chem. Eng.<\/em>, <strong>117<\/strong>, 410-419.<\/li>\r\n \t<li>Soprana, M., A.C. Santomaso, P. Facco (2018). <a href=\"https:\/\/doi.org\/10.1016\/B978-0-444-64235-6.50290-4\" class=\"\">Artificial vision system for the online characterization of the particle size distribution of bulk materials on conveyor belts<\/a>. In: <em>Computer-Aided Chemical Engineering 43, 28th European Symposium on Computer Aided Process Engineering<\/em> (A. Friedl, J.J. Kleme\u0161, S. Radl, P.S. Varbanov, T. Wallek, Eds.), Elsevier, Amsterdam (The Netherlands), 1667-1672.<\/li>\r\n \t<li>Galvanin, F., F. Bezzo (2018). <a href=\"https:\/\/doi.org\/10.1016\/B978-0-444-63964-6.00003-9\" class=\"\">Advanced techniques for the optimal design of experiments in pharmacokinetics<\/a>. In: <em>Computer-Aided Chemical Engineering 42. Quantitative Systems Pharmacology: Models and Model-Based Systems with Applications<\/em> (D. Manca, Ed.), Elsevier, Amsterdam (The Netherlands), 65-83.<\/li>\r\n \t<li>Bezzo, F., F. Galvanin (2018). <a href=\"https:\/\/doi.org\/10.1016\/B978-0-444-63964-6.00004-0\" class=\"\">On the identifiability of physiological models: Optimal design of clinical tests<\/a>. In: <em>Computer-Aided Chemical Engineering 42. Quantitative Systems Pharmacology: Models and Model-Based Systems with Applications<\/em> (D. Manca, Ed.), Elsevier, Amsterdam (The Netherlands), 85-110.<\/li>\r\n \t<li>De-Luca, R., A. Bernardi, A. Meneghesso, T. Morosinotto, F. Bezzo (2018). <a href=\"https:\/\/doi.org\/10.1016\/j.algal.2018.06.016\" class=\"\">Modelling the photosynthetic electron transport chain in <em>Nannochloropsis gaditana<\/em> via exploitation of absorbance data<\/a>. <em>Algal Res.<\/em>, <strong>33<\/strong>, 430-439.<\/li>\r\n \t<li>Bano, G., Z. Wang, P. Facco, F. Bezzo, M. Barolo, M. Ierapetritou (2018). <a href=\"https:\/\/doi.org\/10.1016\/B978-0-444-64241-7.50241-X\" class=\"\">Dimensionality reduction in feasibility analysis by latent variable modeling<\/a>. In: <em>Computer-Aided Chemical Engineering 44, Proc. of the 13th International Symposium on Process Systems Engineering \u2013 PSE 2018, July 1-5 2018<\/em> (M.R. Eden, M.G. Ierapetritou, G.P. Towler, Eds.), Elsevier, Amsterdam (The Netherlands), 1477-1482.<\/li>\r\n \t<li>Taverna, B., A. Casonato, F. Bezzo, F. Galvanin (2018). <a href=\"https:\/\/doi.org\/10.1016\/B978-0-444-64241-7.50345-1\" class=\"\">Towards the optimal design of a minimum set of clinical trials for the identification and characterization of VWD<\/a>. In: <em>Computer-Aided Chemical Engineering 44, Proc. of the 13th International Symposium on Process Systems Engineering \u2013 PSE 2018, July 1-5 2018<\/em> (M.R. Eden, M.G. Ierapetritou, G.P. Towler, Eds.), Elsevier, Amsterdam (The Netherlands), 2101-2106.<\/li>\r\n \t<li>d\u2019Amore, F., P. Mocellin, C. Vianello, G. Maschio, F. Bezzo (2018). <a href=\"https:\/\/doi.org\/10.1016\/B978-0-444-64241-7.50379-7\" class=\"\">Towards the economic optimisation of European supply chains for CO2 capture, transport and sequestration, including societal risk analysis<\/a>. In: <em>Computer-Aided Chemical Engineering 44, Proc. of the 13th International Symposium on Process Systems Engineering \u2013 PSE 2018, July 1-5 2018<\/em> (M.R. Eden, M.G. Ierapetritou, G.P. Towler, Eds.), Elsevier, Amsterdam (The Netherlands), 2305-2310.<\/li>\r\n \t<li>Bano, G., P. Facco, F. Bezzo, M. Barolo (2018). <a href=\"https:\/\/doi.org\/10.1002\/aic.16133\" class=\"\">Probabilistic design space determination in pharmaceutical product development: a Bayesian\/latent variable approach<\/a>. <em>AIChE J.<\/em>,<strong> 64<\/strong>, 2438-2449.<\/li>\r\n \t<li>Bano, G., Z. Wang, P. Facco, F. Bezzo, M. Barolo, M. Ierapetritou (2018). <a href=\"https:\/\/doi.org\/10.1016\/j.compchemeng.2018.04.021\" class=\"\">A novel and systematic approach to identify the design space of pharmaceutical processes<\/a>. <em>Comp. Chem. Eng.<\/em>, <strong>115<\/strong>, 309-322.<\/li>\r\n \t<li>d\u2019Amore, F., P. Mocellin, C. Vianello, G. Maschio, F. Bezzo (2018). <a href=\"https:\/\/doi.org\/10.1016\/j.apenergy.2018.04.043\" class=\"\">Economic optimisation of European supply chains for CO2 capture, transport and sequestration, including societal risk analysis and risk mitigation measures<\/a>. <em>Appl. Energy<\/em>, <strong>223<\/strong>, 401-415.<\/li>\r\n \t<li>Facco, P., N. Meneghetti, F. Bezzo, M. Barolo (2018). <a href=\"https:\/\/doi.org\/10.1016\/B978-0-12-811065-2.00011-4\" class=\"\">Mining information from developmental data: process understanding, design space identification, and product transfer<\/a>. In: <em>Multivariate Analysis in the Pharmaceutical Industry<\/em> (A.P. Ferreira, J.C. Menezes, M. Tobyn Eds.), Academic Press, San Diego (U.S.A.), 269-294.<\/li>\r\n \t<li>Ascenso, L., F. d\u2019Amore, A. Carvalho, F. Bezzo (2018). <a href=\"https:\/\/doi.org\/10.1016\/j.cherd.2017.12.023\" class=\"\">Assessing multiple biomass-feedstock in the optimization of power and fuel supply chains for sustainable mobility<\/a>. <em>Chem. Eng. Res. Des.<\/em>, <strong>131<\/strong>, 127-143.<\/li>\r\n \t<li>Castaldello, C., F. Galvanin, A. Casonato, R. Padrini, M. Barolo, F. Bezzo (2018). <a href=\"http:\/\/doi.org\/10.1002\/cjce.22964\" class=\"\">A Model-based protocol for the diagnosis of von Willebrand disease<\/a>. <em>Can. J. Chem. Eng.<\/em>, <strong>96<\/strong>, 628-638.<\/li>\r\n \t<li>Ferrari, M., F. Galvanin, M. Barolo, V. Daidone, R. Padrini, F. Bezzo, A. Casonato (2018). <a href=\"http:\/\/doi.org\/10.1160\/TH17-05-0375\" class=\"\">A mechanistic model to quantify von Willebrand factor release, survival and proteolysis in patients with von Willebrand disease<\/a>. <em>Thromb. Haemost.<\/em>, <strong>118<\/strong>, 309-319.<\/li>\r\n<\/ul>\r\n<h3>Year 2017<\/h3>\r\n<ul class=\"normallist\">\r\n \t<li>Morosinotto, T., F. Bezzo (2017). A model based approach to drive genetic engineering in microalgae. In: <em>Book of abstracts: AlgaEurope 2017, 5-7 December 2017, Berlin (Germany)<\/em>.<\/li>\r\n \t<li>Perin, G., A. Bernardi, A. Bellan, F. Bezzo, T. Morosinotto (2017). <a href=\"http:\/\/doi.org\/10.1016\/j.ymben.2017.11.002\" class=\"\">A mathematical model to guide genetic engineering of photosynthetic metabolism<\/a>. <em>Metab. Eng.<\/em>, <strong>44<\/strong>, 337-347.<\/li>\r\n \t<li>Herwig, C., J. Glassey, N. Kockmann, K. Gernaey, M. Barolo (2017). <a href=\"https:\/\/www.thechemicalengineer.com\/features\/better-by-design\" class=\"\">Better by design<\/a>. <em>TCE \u2013 The Chem. Eng.<\/em>, Sept. (915), 41-43.<\/li>\r\n \t<li>Taverna, B., A. Casonato, F. Bezzo, F. Galvanin (2017). Towards the Optimal Design of a Minimal Set of Clinical Tests for the Identification and Characterization of Von Willebrand Disease. Presented at: <em>AIChE 2014 Annual Meeting, 29 October-3 November 2017, Minneapolis, USA<\/em>.<\/li>\r\n \t<li>Dal-Pastro, P. Facco, E. Zamprogna, F. Bezzo, M. Barolo (2017). <a href=\"https:\/\/doi.org\/10.1016\/j.fbp.2017.09.005\" class=\"\">Model-based approach to the design and scale-up of wheat milling operations \u2013 Proof of concept<\/a>. <em>Food Bioprod. Process.<\/em>, <strong>106<\/strong>, 127-136.<\/li>\r\n \t<li>De-Luca, R., M. Trabuio, M. Barolo, F. Bezzo (2017). Microalgae growth optimization in open ponds using uncertain weather data. <em>Presented at WCCE10: 10th World Congress of Chemical Engineering, 1-5 October 2017, Barcelona (Spain)<\/em>.<\/li>\r\n \t<li>Bano, G., P. Facco, N. Meneghetti, F. Bezzo, M. Barolo (2017). Handling parametric and measurement uncertainty for design space determination in pharmaceutical product development: a Bayesian approach. <em>Presented at <\/em><em>WCCE10: 10th World Congress of Chemical Engineering, 1-5 October 2017, Barcelona (Spain)<\/em>.<\/li>\r\n \t<li>d\u2019Amore, F., F. Bezzo (2017). <a href=\"https:\/\/doi.org\/10.1016\/j.ijggc.2017.08.015\" class=\"\">Economic optimisation of European supply chains for CO2 capture, transport and sequestration<\/a>. <em>Int. J. Greenh. Gas Con.<\/em>, <strong>65<\/strong>, 99-116.<\/li>\r\n \t<li>Bernardi, A., A. Nikolaou, A. Meneghesso, B. Chachuat, T. Morosinotto, F. Bezzo (2017). <a href=\"https:\/\/doi.org\/10.1016\/j.jbiotec.2017.08.002\" class=\"\">Semi-empirical modeling of microalgae photosynthesis in different acclimation states \u2013 Application to N. gaditana<\/a>. <em>J. Biotechnol.<\/em>, <strong>259<\/strong>, 63-72.<\/li>\r\n \t<li>d\u2019Amore, F., F. Bezzo (2017). Assessing technological options in biomass-based energy supply chains through a quantitative methodology for risk and regret evaluation. In: <em>Computer-Aided Chemical Engineering 40, Proc. of the 27th European Symposium on Computer Aided Process Engineering<\/em> (A. Espu\u00f1a, M. Graells, and L. Puigjaner, Eds.), Elsevier, Amsterdam (The Netherlands), 2491-249.<\/li>\r\n \t<li>Castaldello, C., A. Gubert, F. Galvanin, A. Casonato, R. Padrini, M. Barolo, F. Bezzo(2017). A model-based support for diagnosing von Willebrand disease. In: <em>Computer-Aided Chemical Engineering 40, Proc. of the 27th European Symposium on Computer Aided Process Engineering<\/em> (A. Espu\u00f1a, M. Graells, and L. Puigjaner, Eds.), Elsevier, Amsterdam (The Netherlands), 2779-2884.<\/li>\r\n \t<li>d\u2019Amore, F., F. Bezzo (2017). <a href=\"https:\/\/doi.org\/10.1016\/j.energy.2017.07.074\" class=\"\">Managing technology performance risk in the strategic design of biomass-based supply chains for energy in the transport sector<\/a>. <em>Energy<\/em>, <strong>138<\/strong>, 563-574.<\/li>\r\n \t<li>De-Luca, R., F. Bezzo, Q. B\u00e9chet, O. Bernard (2017). Optimization of algal ponds operation using weather forecasts. <em>Presented at ISAP2017 \u2013 6th International Congress of the Society of Applied Phycology, 18-23 June 2017, Nantes (France).<\/em><\/li>\r\n \t<li>Facco, P., G. Bano, F. Bezzo, M. Barolo (2017). Multivariate statistical approaches to aid pharmaceutical processes: product development and process monitoring in a Quality-by-Design perspective. <em>Presented at EuroPACT 2017 \u2013 4th European Conference on Process Analytics and Control Technology, 10-12 May 2017, Potsdam (Germany)<\/em>.<\/li>\r\n \t<li>De-Luca, R., F. Bezzo, Q. B\u00e9chet, O. Bernard (2017). <a href=\"https:\/\/doi.org\/10.1016\/j.jprocont.2017.03.010\" class=\"\">Exploiting meteorological forecasts for the optimal operation of algal ponds<\/a>. <em>J. Process Cont.<\/em>, <strong>55<\/strong>, 55-65.<\/li>\r\n \t<li>Ferrari, M., V. Pengo, M. Barolo, F. Bezzo, R. Padrini (2017). <a href=\"https:\/\/doi.org\/10.1007\/s00228-017-2248-9\" class=\"\">Assessing the relative potency of (S)- and (R)-warfarin with a new PK-PD model, in relation to VKORC1 genotypes<\/a>. <em>Eur. J.Clin. Pharmacol.<\/em>, <strong>73<\/strong>, 699\u2013707.<\/li>\r\n \t<li>Bano, G., P. Facco, N. Meneghetti, F. Bezzo, M. Barolo (2017). <a href=\"https:\/\/doi.org\/10.1016\/j.compchemeng.2017.02.038\" class=\"\">Uncertainty back-propagation in PLS model inversion for design space determination in pharmaceutical product development<\/a>. <em>Comput. Chem. Eng.<\/em>, <strong>101<\/strong>, 110-124.<\/li>\r\n \t<li>Facco, P., A. C. Santomaso, M. Barolo (2017). <a href=\"https:\/\/doi.org\/10.1016\/j.ces.2017.01.053\" class=\"\">Artificial vision system for particle size characterization from bulk materials<\/a>. <em>Chem. Eng. Sci.<\/em>, <strong>164<\/strong>, 246-257.<\/li>\r\n \t<li>Quaglio, M., F. Bezzo, A. Gavriilidis, E. Cao, F. Galvanin (2017). Identification of kinetic models of partial methanol oxidation over silver in the presence of uncertain catalyst behaviour. <em>Presented at UK Catalysis Conference, 4-6 January 2017, Manchester (U.K.)<\/em>.<\/li>\r\n<\/ul>\r\n<h3>Year 2016<\/h3>\r\n<ul class=\"normallist\">\r\n \t<li>Cimetta, E., T. Morosinotto, F. Bezzo (2016). Model-based design of experiments and photobioreactor-on-a-chip technology for rapid and reliable modelling of microalgae growth. <em>Presented at AlgaEurope 2016, 13-15 December 2016, Madrid (Spain).<\/em><\/li>\r\n \t<li>Quaglio, M., F. Bezzo, A. Gavriilidis, E. Cao, F. Galvanin (2016). A MINLP approach to model-based data mining for the quick development of nonlinear dynamic models. In: <em>Proceedings of AIChE 2014 Annual Meeting, 13-18 November 2016, San Francisco, USA<\/em>, 677-679.<\/li>\r\n \t<li>Pradella, D., F. Bezzo, F. Galvanin (2016). Optimal design of feasible clinical tests for the identification of physiological models of type 1 diabetes mellitus. In: <em>Proceedings of<\/em> <em>AIChE 2014 Annual Meeting, 13-18 November 2016, San Francisco, USA.<\/em><\/li>\r\n \t<li>Perin, G., E. Cimetta, F. Monetti, T. Morosinotto, F. Bezzo (2016). Novel micro-photobioreactor design and monitoring method for assessing microalgae response to light intensity. <i>Algal Res.<\/i>, <b>19<\/b>, 69-76.<\/li>\r\n \t<li>Bonvin, D., C. Georgakis, C. C. Pantelides, M. Barolo, M. A. Grover, D. Rodrigues, R. Schneider, D. Dochain (2016). Linking models and experiments.<em> Ind. Eng. Chem. Res.<\/em>, <strong>55<\/strong>, 6891-6903.<\/li>\r\n \t<li>Bernardi, A., A. Meneghesso, T. Morosinotto, F. Bezzo (2016). Modelling photoacclimation in microalgae integrating chlorophyll fluorescence and photosynthesis rate measurements. <em>Presented at t<\/em><i>he 6th International Conference on Algal Biomass, Biofuels and Bioproducts, 26 \u2013 29 June, 2016, San Diego (U.S.A.)<\/i>.<\/li>\r\n \t<li>De-Luca, R., F. Galvanin, F. Bezzo (2016). A methodology for direct exploitation of available information in the online model-based redesign of experiments. <i>Comput. Chem. Eng.<\/i>, <b>91<\/b>, 195-205.<\/li>\r\n \t<li>De-Luca, R., Q. B\u00e9chet, F. Bezzo, O. Bernard (2016). Optimal operation of algal ponds accounting for future meteorology. In: <i>IFAC-PapersOnLine Series. <\/i><i>Proc. 11th IFAC Symposium on Dynamics and Control of Process Systems, including Biosystems (DYCOPS-CAB 2016)<\/i><strong><i>,<\/i><\/strong><i> 6-8 June 2016, Trondheim, Norway<\/i> (B. Foss, H. Budman, I. Smets, S. Skogestad and L. Msland, Eds.), &nbsp;<b>49<\/b>, 1062-1067.<\/li>\r\n \t<li>d\u2019Amore, F., F. Bezzo (2016). Optimising biomass-based energy supply chains for sustainable mobility. In: <i>Computer-Aided Chemical Engineering 38, 26th European Symposium on Computer Aided Process Engineering <\/i>(Z. Kravanja and M. Bogataj, Ed.), Elsevier, Amsterdam (The Netherlands) 145-150.<\/li>\r\n \t<li>Bernardi, A., A. Meneghesso, T. Morosinotto, F. Bezzo (2016). A model-based investigation of genetically modified microalgae strains. In: <i>Computer-Aided Chemical Engineering 38, 26th European Symposium on Computer Aided Process Engineering <\/i>(Z. Kravanja and M. Bogataj, Ed.), Elsevier, Amsterdam (The Netherlands) 607-612.<\/li>\r\n \t<li>Meneghetti, N., P. Facco, F. Bezzo, C. Himawan, S. Zomer, M. Barolo (2016). Automated data review in secondary pharmaceutical manufacturing by pattern recognition techniques. In: <i>Computer-Aided Chemical Engineering 38, 26th European Symposium on Computer Aided Process Engineering <\/i>(Z. Kravanja and M. Bogataj, Ed.), Elsevier, Amsterdam (The Netherlands) 799-804.<\/li>\r\n \t<li>Dal-Pastro, F., P. Facco, F. Bezzo, E. Zamprogna, M. Barolo (2016). Using PLS and NIR spectra to model the first-breakage step of a grain milling process. In: <i>Computer-Aided Chemical Engineering 38, 26th European Symposium on Computer Aided Process Engineering <\/i>(Z. Kravanja and M. Bogataj, Ed.), Elsevier, Amsterdam (The Netherlands) 1171-1176.<\/li>\r\n \t<li>Ferrari, M., L. Bosa, R. De-Luca, M. Barolo, C.F. Zambon, V. Pengo, R. Padrini, F. Bezzo (2016). A pharmacokinetic-pharmacodynamic model for individualisation of an oral anticoagulation therapy. In: <i>Computer-Aided Chemical Engineering 38, 26th European Symposium on Computer Aided Process Engineering <\/i>(Z. Kravanja and M. Bogataj, Ed.), Elsevier, Amsterdam (The Netherlands) 2313-2318.<\/li>\r\n \t<li>Dal-Pastro, F., P. Facco, F. Bezzo, E. Zamprogna, M. Barolo (2016). Data-driven modeling of milling and sieving operations in a wheat milling process. <i>Food Bioprod. Process.<\/i>, <b>99<\/b>, 99-108.<\/li>\r\n \t<li>Meneghetti, N., P. Facco, F. Bezzo, C. Himawan, S. Zomer, M. Barolo (2016). Knowledge management in secondary pharmaceutical manufacturing by mining of data historians \u2013 A proof-of-concept study. <i>Int. J Pharm.<\/i>, <b>505<\/b>, 394\u2013408.<\/li>\r\n \t<li>Bernardi, A., A. Nikolaou, A. Meneghesso, T. Morosinotto, B. Chachuat, F. Bezzo (2016). High-fidelity modelling methodology of light-limited photosynthetic production in microalgae. <i>PLOS ONE<\/i>, <b>11<\/b>, e0152387.<\/li>\r\n \t<li>Fasolato, L., L. Carraro, P. Facco, B. Cardazzo, S. Balzan, A. Taticchi, N. A. Andreani, F. Montemurro, M. E. Martino, G. Di Lecce, T. Gallina Toschi, E. Novelli (2016). Agricultural by-products with bioactive effects: a multivariate approach to evaluate microbial and physicochemical changes in a fresh pork sausage enriched with phenolic compounds from olive vegetation water. <em>Int. J. Food Microbiol.<\/em>, <strong>228<\/strong>, 34-43.<\/li>\r\n \t<li>d\u2019Amore, F., F. Bezzo (2016). Strategic optimisation of biomass-based energy supply chains for sustainable mobility. <em>Comput. Chem. Eng.<\/em>, <strong>87<\/strong>, 68\u201381.<\/li>\r\n \t<li>Galvanin, F., R. Marchesini, M.&nbsp; Barolo, F. Bezzo, M. Fidaleo (2016). Optimal design of experiments for parameter identification in electrodialysis models. <i>Chem. Eng. Res. Des.<\/i>, <b>105<\/b>, 107\u2013119.<\/li>\r\n \t<li>Paolucci, N., F. Bezzo, A. Tugnoli (2016). A two-tier approach to the optimization of a biomass supply chain for pyrolysis processes. <i>Biomass. Bioenerg.<\/i>, <b>84<\/b>, 87-97.<\/li>\r\n \t<li>Ottavian, M., E. Tomba, M. Barolo (2016). Advanced process decision making using multivariate latent variable methods. In: <em>Process Simulation and Data Modeling in Solid Oral Drug Development and Manufacturing<\/em> (M. G. Ierapetritou and R. Ramachandrean, Eds.), Springer, New York (NJ), 159-189.<\/li>\r\n<\/ul>\r\n<h3>Year 2015<\/h3>\r\n<ul class=\"normallist\">\r\n \t<li>Bonvicini, G., A. Venturin, C. Miotti, D. Curiel, F. Bezzo, L. Facco (2015). Recommendations towards profitable production chains for algae-based biofuels. In: <i>Book of abstracts: 2<sup>nd<\/sup> EABA and EC Algae Contractors\u2019 Conference and the 9<sup>th<\/sup> International Algae Congress. Lisbon (Portugal), 1-3 December 2015<\/i>, p. 69-70.<\/li>\r\n \t<li>Largoni, M., P. Facco, D. Bernini, F. Bezzo, M. Barolo (2015). Quality-by-Design approach to monitor the operation of a batch bioreactor in an industrial avian vaccine manufacturing process.<em> J. Biotechnol.<\/em>, <strong>211<\/strong>, 87-96.<\/li>\r\n \t<li>Depalo, A., M. Barolo, F. Bezzo, R. Muradore (2015). Phase identification for product quality prediction in batch processes: application to industrial resin production. In: <i>Proceedings of European Control Conference 2015, Linz, Austria, July 15-17, 2015<\/i>, 3501-3506.<\/li>\r\n \t<li>Facco, P., M. Largoni, D. Bernini, F. Bezzo, M. Barolo (2015). Monitoring an industrial batch process for the manufacturing of avian vaccines through Quality-by-Design methodologies. In: <em>Proceedings 14th Scandinavian Symposium on Chemometrics, June 14-17, Chia (CA), Italy<\/em>, 38.<\/li>\r\n \t<li>Meneghetti, N., P. Facco, S. Bermingham, D. Slade, F. Bezzo, M. Barolo (2015). First-principles model diagnosis in batch systems by multivariate statistical modeling. In: <em>Computer-Aided Chemical Engineering 37, 12th International Symposium on Process Systems Engineering and 25th European Symposium on Computer Aided Process Engineering<\/em> (K.V. Gernaey, J.K. Huusom, R. Gani, Eds.), Elsevier, Amsterdam (The Netherlands), 437-442.<\/li>\r\n \t<li>Dal-Pastro, F., P. Facco, F. Bezzo, H. Thomas, E. Zamprogna, M. Barolo (2015). Data-based multivariate modeling of a grain comminution process. In: <em>Computer-Aided Chemical Engineering 37, 12th International Symposium on Process Systems Engineering and 25th European Symposium on Computer Aided Process Engineering<\/em> (K.V. Gernaey, J.K. Huusom, R. Gani, Eds.), Elsevier, Amsterdam (The Netherlands), 2219-2224.<\/li>\r\n \t<li>Ortiz-Guti\u00e9rrez, R.A., S. Giarola, N. Shah, F. Bezzo (2015). An approach to optimize multi-enterprise biofuel supply chains including Nash equilibrium models. In: <em>Computer-Aided Chemical Engineering 37, 12th International Symposium on Process Systems Engineering and 25th European Symposium on Computer Aided Process Engineering<\/em> (K.V. Gernaey, J.K. Huusom, R. Gani, Eds.), Elsevier, Amsterdam (The Netherlands), 2255-2260.<\/li>\r\n \t<li>Bernardi, A., A. Nikolaou, A. Meneghesso, B. Chachuat, T. Morosinotto, F. Bezzo (2015). A framework for the dynamic modelling of PI curves in microalgae. In: <em>Computer-Aided Chemical Engineering 37, 12th International Symposium on Process Systems Engineering and 25th European Symposium on Computer Aided Process Engineering<\/em> (K.V. Gernaey, J.K. Huusom, R. Gani, Eds.), Elsevier, Amsterdam (The Netherlands), 2483-2488.<\/li>\r\n \t<li>De-Luca, R., F. Galvanin, F. Bezzo (2015) A framework for a direct exploitation of available information in the online model-based redesign of experiments. In: <i>Book of abstract: 25<sup>th<\/sup> European Symposium on Computer Aided Process Engineering,Copenhagen (Denmark), 31 May \u2013 4 June 2015 <\/i>(M.O. Bertran, T. Bisgaard, R. Frauzem, Eds.), Abstract n. 55, p. 30.<\/li>\r\n \t<li>Bernardi, A., A. Nikolaou, A. Meneghesso, B. Chachuat, T. Morosinotto, F. Bezzo (2015). Using fluorescence measurements to model key phenomena in microalgae photosynthetic mechanisms, <i>Chem. Eng. Trans.<\/i>,<i> <\/i><b>43<\/b>, 217-222.<\/li>\r\n \t<li>Facco, P., F. Dal Pastro, N. Meneghetti, F. Bezzo, M. Barolo (2015). Bracketing the design space within the knowledge space in pharmaceutical product development. <i>Ind. Eng. Chem. Res.<\/i>, <b>54<\/b>, 5128\u20135138.<\/li>\r\n \t<li>Giarola, S., F. Bezzo (2015). Bioethanol supply chain design and optimization: some achievements and future challenges for the development of sustainable biorefineries. In: <i>Computer-Aided Chemical Engineering 36. Sustainability of products, processes and supply chains. Theory and applications<\/i> (F. You, Ed.), Elsevier, Amsterdam (The Netherlands), 555-581.<\/li>\r\n \t<li>Ottavian, M., E. Franceschin, E. Signorin, S. Segato, P. Berzaghi, B. Contiero, G. Cozzi (2015). Application of near infrared reflectance spectroscopy (NIRS) on faecal samples from lactating dairy cows to assess two levels of concentrate supplementation during summer grazing in alpine pastures. <i>Anim. Feed Sci. Tech.<\/i>, <b>202<\/b>, 100-105.<\/li>\r\n \t<li>Nikolaou, A., A. Bernardi, A. Meneghesso, F. Bezzo, T. Morosinotto, B. Chachuat (2015). A model of chlorophyll fluorescence in microalgae integrating photoproduction, photoinhibition and photoregulation. <i>J. Biotechnol.<\/i>, <b>194<\/b>, 91-99.<\/li>\r\n \t<li>Mazzetto, F., G. Simoes-Lucas, R.A. Ortiz-Guti\u00e9rrez, D. Manca, F. Bezzo (2015). Impact on the optimal design of bioethanol supply chains by a new European Commission proposal. <i>Chem. Eng. Res. Des.<\/i>, <b>93<\/b>, 457-463.<\/li>\r\n<\/ul>\r\n<h3>Year 2014<\/h3>\r\n<ul class=\"normallist\">\r\n \t<li>Nikolaou, A., A. Bernardi,&nbsp; F. Bezzo, T. Morosinotto, B. Chachuat (2014). Dynamic modeling of photoproduction, photoregulation and photoinhibition in microalgae using chlorophyll fluorescence. <em>Presented at the<\/em> <i>AIChE 2014 Annual Meeting, November 16-21, 2014, Atlanta, USA<\/i>.<\/li>\r\n \t<li>Meneghetti, N., P. Facco, F. Bezzo, M. Barolo (2014). A methodology to diagnose process\/model mismatch in first-principles models. <i>Ind. Eng. Chem. Res.<\/i>, <b>53<\/b>, 14002-14013.<\/li>\r\n \t<li>Nikolaou, A., A. Bernardi,&nbsp; F. Bezzo, T. Morosinotto, B. Chachuat (2014). A Dynamic model of photoproduction, photoregulation and photoinhibition in microalgae using chlorophyll fluorescence. In: <i>Preprints of the IFAC 19<sup>th<\/sup> World Congress, Cape Town, South Africa. August 24-29, <\/i>4370-4375.<\/li>\r\n \t<li>Dalle Zotte, A., M. Ottavian, A. Concollato, L. Serva, R. Martelli, G. Parisi (2014). Authentication of raw and cooked freeze-dried rainbow trout (Oncorhynchus mykiss) by means of near infrared spectroscopy and data fusion. <em>Food Res. Int.<\/em>, <strong>60<\/strong>, 180-188.<\/li>\r\n \t<li>Rahman, M.S., M.E. Martino, B. Cardazzo, P. Facco, P. Bordin, R. Mioni, E. Novelli, L. Fasolato (2014). Vibrio trends in the ecology of the Venice lagoon. <em>Appl. Environ. Microb.<\/em>, <strong>80<\/strong>, 2372-2380<\/li>\r\n \t<li>Ortiz-Guti\u00e9rrez, R.A., F. Bezzo (2014). A game-theory approach for the analysis and optimization of biofuel supply chains. In: <i>Proc. 22<sup>nd<\/sup> European Biomass Conference and Exhibition (EU BC&amp;E)<\/i>, 23-26 June 2014, Hamburg, Germany.<\/li>\r\n \t<li>Galvanin, F., A. Monte, A. Casonato, R. Padrini, M. Barolo, F. Bezzo (2014). Towards model-based diagnosis of von Willebrand disease. In: <em>Computer-Aided Chemical Engineering 33, 24th European Symposium on Computer Aided Process Engineering<\/em> (J.J. Kleme\u0161, P.S. Varbanov, P.Y. Liew, Eds.), Elsevier, Amsterdam (The Netherlands) 583-588.<\/li>\r\n \t<li>Lucas, G., F. Bezzo, A. Carvalho (2014). Optimal design of a bioethanol supply chain considering different environmental impact assessment methods. In: <em>Computer-Aided Chemical Engineering 33, 24th European Symposium on Computer Aided Process Engineering<\/em> (J.J. Kleme\u0161, P.S. Varbanov, P.Y. Liew, Eds.), Elsevier, Amsterdam (The Netherlands) 973-978.<\/li>\r\n \t<li>Meneghetti, N., P. Facco, F. Bezzo, M. Barolo (2014). Diagnosing process\/model mismatch in first-principles models by latent variable modeling. In: <em>Computer-Aided Chemical Engineering 33, 24th European Symposium on Computer Aided Process Engineering<\/em> (J.J. Kleme\u0161, P.S. Varbanov, P.Y. Liew, Eds.), Elsevier, Amsterdam (The Netherlands) 1897-1902.<\/li>\r\n \t<li>Bernardi, A., G. Perin, E. Sforza, F. Galvanin, T. Morosinotto, F. Bezzo (2014). An identifiable state model to describe light intensity influence on microalgae growth. <i>Ind. Eng. Chem. Res.<\/i>, <b>53<\/b>, 6738\u22126749.<\/li>\r\n \t<li>Rahman, M.S., M.E. Martino, B. Cardazzo, P. Facco, P. Bordin, R. Mioni, E. Novelli, L. Fasolato (2014). Vibrio trends in the ecology of the Venice lagoon. <em>Appl. Environ. Microb.<\/em>, <strong>80<\/strong>, 2372-2380.<\/li>\r\n \t<li>Galvanin, F., M. Barolo, R. Padrini, S. Casonato, F. Bezzo (2014). A model-based approach to the automatic diagnosis of Von Willebrand disease. <i>AIChE J.<\/i>, <b>60<\/b>, 1718-1727.<\/li>\r\n \t<li>Meneghetti, N., P. Facco, F. Bezzo, M. Barolo (2014). Process\/model mismatch diagnosis by latent variable modeling. <em>Presented at APM \u2013 Advanced Process Modelling Forum, London (U.K.), April 2-3<\/em>.<\/li>\r\n \t<li>Ottavian, M., M. Barolo, S. Garc\u00eda-Mu\u00f1oz (2014). Multivariate image and texture analysis to investigate the erosion mechanism of film-coated tablets: An industrial case study.<em> J. Pharm. Innov.<\/em>, <strong>9<\/strong>, 5-15.<\/li>\r\n \t<li>Ottavian, M., L. Fasolato, L. Serva, P. Facco, M. Barolo (2014). Data fusion for food authentication: fresh\/frozen-thawed discrimination in west African goatfish (<em>Pseudupeneus prayensis<\/em>) fillets. <em>Food Bioprocess Technol.<\/em>, <strong>7<\/strong>, 1025-1036.<\/li>\r\n \t<li>Tomba, E., M. Barolo, S. Garc\u00eda-Mu\u00f1oz (2014). <em>In-silico<\/em> product formulation design through latent variable model inversion. <em>Chem. Eng. Res. Des.<\/em>, <strong>92<\/strong>, 534-544.<\/li>\r\n \t<li>Ottavian, M., M. Barolo, S. Garc\u00eda-Mu\u00f1oz (2014). Maintenance of machine vision systems for product quality assessment. Part II. Addressing camera replacement. <em>Ind. Eng. Chem. Res.<\/em>, <strong>53<\/strong>, 1529-1536.<\/li>\r\n \t<li>Facco, P., M. Largoni, E. Tomba, F. Bezzo, M. Barolo (2014). Transfer of process monitoring models between plants: Batch systems. <i>Chem. Eng. Res. Des.<\/i>, <b>92<\/b>, 273\u2013284.<\/li>\r\n \t<li>Tomba, E., N. Meneghetti, P. Facco, T. Zelenkov\u00e1, A.A. Barresi, D.L. Marchisio, F. Bezzo, M. Barolo (2014). Transfer of a nanoparticle product between different mixers using latent variable model inversion. <i>AIChE J.<\/i>, <b>60<\/b>, 123-135.<\/li>\r\n \t<li>Galvanin, F., R. De Luca, G. Ferrentino, M. Barolo, S. Spilimbergo, F. Bezzo (2014). Bacterial inactivation on solid food matrices through supercritical CO2: a correlative study. <em>J. Food Eng.<\/em>, <strong>120<\/strong>, 146-157.<\/li>\r\n<\/ul>\r\n<h3>Year 2013<\/h3>\r\n<ul class=\"normallist\">\r\n \t<li>Ottavian, M., M. Barolo, S. Garc\u00eda-Mu\u00f1oz (2013). Multivariate image and texture analysis for film-coated tablets elegance assessment. In: <em>Proc. DYCOPS 2013 \u2013 10th International Symposium on Dynamics and Control of Process Systems<\/em> (M. Henson and G. Pannocchia, Eds.), Mumbai (India), December 18-20, 331-336.<\/li>\r\n \t<li>Giarola, S., F. Bezzo, N. Shah (2013). A risk management approach to the economic and environmental strategic design of ethanol supply chains. <em>Biomass Bioenerg.<\/em>, <strong>58<\/strong>, 31-51.<\/li>\r\n \t<li>Garc\u00eda-Mu\u00f1oz, S., M. Ottavian and M. Barolo (2013). Overall elegance assessment for a solid oral dosage form using multivariate image analysis and multivariate texture analysis. <em>Presented at the AIChE Annual Meeting, San Francisco (U.S.A.), 3-8 November<\/em>.<\/li>\r\n \t<li>Bernardi, A., F. Galvanin, G. Perin, T. Morosinotto, F. Bezzo (2013). Modeling the effect of light intensity in microalgae growth. <em>Presented at the AIChE Annual Meeting, San Francisco (U.S.A.), 3-8 November<\/em>.<\/li>\r\n \t<li>Tomba, E., P. Facco, F. Bezzo, M. Barolo (2013). Latent variable modeling to assist the implementation of Quality-by-Design paradigms in pharmaceutical development and manufacturing \u2013 A review. <em>Int. J. Pharm.<\/em>, <strong>457<\/strong>, 283-297.<\/li>\r\n \t<li>Ortiz-Guti\u00e9rrez, R.A., S. Giarola, F. Bezzo (2013). Optimal design of ethanol supply chains considering carbon trading effects and multiple technologies for side-product exploitation. <em>Environ. Technol.<\/em>, <strong>34<\/strong>, 2189\u20132199.<\/li>\r\n \t<li>Ottavian, M., L. Fasolato, P. Facco, M. Barolo (2013). Foodstuff authentication from spectral data: toward a species-independent discrimination between fresh and frozen-thawed fish samples. <em>J. Food Eng.<\/em>, <strong>119<\/strong>, 765-775.<\/li>\r\n \t<li>Ottavian, M., M. Barolo, S. Garc\u00eda-Mu\u00f1oz (2013). Maintenance of machine vision systems for product quality assessment. Part I. Addressing changes in lighting conditions. <em>Ind. Eng. Chem. Res.<\/em>, <strong>52<\/strong>, 12309-12318.<\/li>\r\n \t<li>Mazzetto, F., R.A. Ortiz-Guti\u00e9rrez, D. Manca, F. Bezzo (2013). Strategic design of bioethanol supply chains including commodity market dynamics. <em>Ind. Eng.Chem. Res.<\/em>, <strong>52<\/strong>, 10305\u221210316.<\/li>\r\n \t<li>Galvanin, F., C.C. Ballan, M. Barolo, F. Bezzo (2013). A general model-based design of experiments approach to achieve practical identifiability of pharmacokinetic and pharmacodynamic models. <em>J. Pharmacokinet. Pharmacodyn.<\/em>, <strong>40<\/strong>, 451\u2013467.<\/li>\r\n \t<li>Bezzo, F. (2013). Model-based experiment design, Non-sequential. In: <em>Encyclopedia of Systems Biology<\/em> (W. Dubitzky, O. Wolkenhauer, K.-H. Cho, H. Yokota, Eds.), Springer, New York (U.S.A.), 1413-1417.<\/li>\r\n \t<li>Boschetti, L., M. Ottavian, P. Facco, M. Barolo, L. Serva, S. Balzan and E. Novelli (2013). A correlative study on data from pork carcass and processed meat (Bauernspeck) for automatic estimation of chemical parameters by means of near-infrared spectroscopy. <em>Meat Sci.<\/em>, <strong>95<\/strong>, 621-628.<\/li>\r\n \t<li>Facco, P., M. Ottavian, L. Fasolato, M. Barolo (2013). Towards species-independent foodstuff authentication from spectral data: the case of fresh and frozen-thawed fish. <em>8th Colloquium Chemometricum Mediterraneum<\/em>, Bevagna (Italy), 30 June \u2013 4 July 2013.<\/li>\r\n \t<li>Facco, P., E. Tomba, N. Meneghetti, T. Zelenkova, A. Barresi, D. Marchisio, F. Bezzo, M. Barolo (2013). Transferring the manufacturing of a pharmaceutical nanoparticle product between different plants. <em>8th Colloquium Chemometricum Mediterraneum<\/em>, Bevagna (Italy), 30 June \u2013 4 July 2013.<\/li>\r\n \t<li>Bezzo, F. (2013). Strategic design of biofuel supply chains: a process systems engineering perspective. <em>EURO-INFORMS XXVI 26th European Conference on Operational Research<\/em>, Rome (Italy), 30 June \u2013 4 July 2013.<\/li>\r\n \t<li>Tomba, E., P. Facco, F. Bezzo, S. Garc\u00eda-Mu\u00f1oz (2013). Exploiting historical databases to design the target quality profile for a new product.&nbsp;<em>Ind. Eng. Chem. Res.<\/em>,&nbsp;<strong>52<\/strong>, 8260\u22128271.<\/li>\r\n \t<li>Bernardi, A., S. Giarola, F. Bezzo (2013). Spatially explicit multi-objective optimization for the strategic design of first and second generation biorefineries including carbon and water footprints.&nbsp;<em>Ind. Eng. Chem. Res.<\/em>,&nbsp;<strong>52<\/strong>, 7170\u20137180.<\/li>\r\n \t<li>Galvanin, F., M. Barolo, R.C. Bonadonna, F. Bezzo (2013). Identification of complex models of type 2 diabetes from IVGTT data by model-based design of experiments. In:&nbsp;<em>Computer-Aided Chemical Engineering 32, 23rd European Symposium on Computer Aided Process Engineering&nbsp;<\/em>(A. Kraslawski and I. Turunen, Eds.), Elsevier, Amsterdam (The Netherlands), 133-138.<\/li>\r\n \t<li>Meneghetti, N., E. Tomba, P. Facco, F. Lince, D.L. Marchisio, A.A. Barresi, F. Bezzo, M. Barolo (2013). Supporting the transfer of products between different equipment through latent variable model inversion. In:&nbsp;<em>Computer-Aided Chemical Engineering 32, 23rd European Symposium on Computer Aided Process Engineering&nbsp;<\/em>(A. Kraslawski and I. Turunen, Eds.), Elsevier, Amsterdam (The Netherlands), 511-516.<\/li>\r\n \t<li>Ortiz-Guti\u00e9rrez, R.A., S. Penazzi, A. Bernardi, S. Giarola, F. Bezzo (2013). A spatially-explicit approach to the design of ethanol supply chains considering multiple technologies and carbon trading effects. In:&nbsp;<em>Computer-Aided Chemical Engineering 32, 23rd European Symposium on Computer Aided Process Engineering&nbsp;<\/em>(A. Kraslawski and I. Turunen, Eds.), Elsevier, Amsterdam (The Netherlands), 643-648.<\/li>\r\n \t<li>Tomba, E., M. De Martin, P. Facco, J. Robertson, S. Zomer, F. Bezzo, M. Barolo (2013). General procedure to aid the development of continuous pharmaceutical processes using multivariate statistical modeling \u2013 An industrial case study.&nbsp;<em>Int. J. Pharm.<\/em>,&nbsp;<strong>444<\/strong>, 25-39.<\/li>\r\n \t<li>Ottavian, M., M. Barolo, H. Zisser, E. Dassau, D. E. Seborg (2013). Adaptive blood glucose control for intensive care applications.&nbsp;<em>Comput. Meth. Programs Biomed.<\/em>,&nbsp;<strong>109<\/strong>, 144-156.<\/li>\r\n \t<li>Galvanin, F., M. Barolo, F. Bezzo (2013). On the use of continuous glucose monitoring systems to design optimal clinical tests for the identification of type 1 diabetes models.&nbsp;<em>Comput. Meth. Programs Biomed.<\/em>,&nbsp;<strong>109<\/strong>, 157-170.<\/li>\r\n \t<li>Facco, P., A. Masiero, A. Beghi (2013). Advances on multivariate image analysis for product quality monitoring.&nbsp;<em>J. Process Cont.<\/em>,&nbsp;<strong>23<\/strong>, 89-98.<\/li>\r\n<\/ul>\r\n<h3>Year 2012<\/h3>\r\n<ul class=\"normallist\">\r\n \t<li>Bernardi, A., S. Giarola, F. Bezzo (2012). Optimising the economics and the carbon and water footprints of bioethanol supply chains.&nbsp;<em>Biofuels, Bioprod. Biorefin.<\/em>,&nbsp;<strong>6<\/strong>, 656-672.<\/li>\r\n \t<li>Tomba, E., M. Barolo, S. Garc\u00eda-Mu\u00f1oz (2012). Inversion of latent variable regression models to support product and process development.&nbsp;<em>Presented at the AIChE Annual Meeting, Pittsburgh, PA (U.S.A.), October 28-November 2<\/em>.<\/li>\r\n \t<li>Tomba, E., M. Barolo, S. Garc\u00eda-Mu\u00f1oz (2012). General framework for latent variable model inversion for the design and manufacturing of new products.&nbsp;<em>Ind. Eng. Chem. Res.<\/em>,&nbsp;<strong>51<\/strong>, 12886-12900.<\/li>\r\n \t<li>Ottavian, M., P. Facco, L. Fasolato, M. Barolo (2012). Multispectral data classification using similarity factors.<em>Chemom. Intell. Lab. Sys.<\/em>,&nbsp;<strong>118<\/strong>, 13-23.<\/li>\r\n \t<li>Ottavian, M., P. Facco, M. Barolo, P. Berzaghi, S. Segato, E. Novelli and S. Balzan (2012). Near-infrared spectroscopy to assist authentication and labeling of Asiago d\u2019allevo cheese.&nbsp;<em>J. Food. Eng.<\/em>,&nbsp;<strong>113<\/strong>, 289-298.<\/li>\r\n \t<li>Ballan, C.C., F. Galvanin, M. Barolo, F. Bezzo (2012), Parallel design of pharmacodynamic experiments for the identification of antimicrobial-resistant bacterial population models. In:&nbsp;<em>Computer-Aided Chemical Engineering 31, 11th International Symp. on Process Systems Engineering<\/em>&nbsp;(I.A. Karimi, R. Srinivasan Eds.), Elsevier, Amsterdam (The Netherlands), 1125-1129.<\/li>\r\n \t<li>Bernardi, A., S. Giarola, F. Bezzo (2012), A framework for water footprint optimisation along the bioethanol supply chain. In:<em>Computer-Aided Chemical Engineering 31, 11th International Symp. on Process Systems Engineering<\/em>&nbsp;(I.A. Karimi, R. Srinivasan Eds.), Elsevier, Amsterdam (The Netherlands), 1372-1376.<\/li>\r\n \t<li>Tomba, E., S. Garc\u00eda-Mu\u00f1oz, P. Facco, F. Bezzo, M. Barolo (2012). A general framework for latent variable model inversion to support product and process design. In:&nbsp;<em>Computer-Aided Chemical Engineering 30, 22nd European Symposium on Computer Aided Process Engineering<\/em>&nbsp;(I.D.L. Bogle and M. Fairweather, Eds.), Elsevier, Amsterdam (The Netherlands), 512-516.<\/li>\r\n \t<li>Tomba, E., P. Facco, F. Bezzo, S. Garc\u00eda-Mu\u00f1oz, M. Barolo (2012). Combining fundamental knowledge and latent variable techniques to transfer process monitoring models between plants.&nbsp;<em>Chemom. Intell. Lab. Sys.<\/em>,&nbsp;<strong>116<\/strong>, 67-77.<\/li>\r\n \t<li>Facco, P., E. Tomba, F. Bezzo, S. Garc\u00eda-Mu\u00f1oz, M. Barolo (2012). Transfer of process monitoring models between different plants using latent variable techniques.&nbsp;<em>Ind. Eng. Chem. Res.<\/em>,&nbsp;<strong>51<\/strong>, 7327-7339.<\/li>\r\n \t<li>Galvanin, F., M. Barolo, G. Pannocchia, F. Bezzo (2012). Online model-based redesign of experiments with erratic models: a disturbance estimation approach.&nbsp;<em>Comput. Chem. Eng.<\/em>,&nbsp;<strong>42<\/strong>, 138-151.<\/li>\r\n \t<li>Giarola, S., A. Zamboni, F. Bezzo (2012). Environmentally conscious capacity planning and technology selection for bioethanol supply chains.&nbsp;<em>Renewable Energy<\/em>,&nbsp;<strong>43<\/strong>, 61-72.<\/li>\r\n \t<li>Ottavian, M., P. Facco, L. Fasolato, E. Novelli, M. Mirisola, M. Perini, M. Barolo (2012). Use of near-infrared spectroscopy for fast fraud detection in seafood: application to the authentication of wild European sea bass (Dicentrarchus labrax).&nbsp;<em>J. Agric. Food Chem.<\/em>,&nbsp;<strong>60<\/strong>, 639-648.<\/li>\r\n \t<li>Giarola, S., N. Shah, F. Bezzo (2012). A comprehensive approach to the design of ethanol supply chains including carbon trading effects.&nbsp;<em>Bioresour. Technol.<\/em>,&nbsp;<strong>107<\/strong>, 175-185<\/li>\r\n<\/ul>\r\n<h3>Year 2011<\/h3>\r\n<ul class=\"normallist\">\r\n \t<li>Giarola, S., A. Zamboni, F. Bezzo (2011). Environmentally conscious supply chain design and capacity planning: From first to second generation biofuel systems. In:&nbsp;<em>AIDIC Conference Series, Vol.10<\/em>&nbsp;(S. Pierucci, Ed.), 137-145.<\/li>\r\n \t<li>Tomba, E., P. Facco, F. Bezzo, S. Garc\u00eda-Mu\u00f1oz, M. Barolo (2011). Transferring monitoring models between different scales through multivariate statistical techniques.&nbsp;<em>Presented at AIChE 2011 Annual Meeting, Minneapolis, USA, 16-21 October 2011<\/em>.<\/li>\r\n \t<li>Giarola, S., N. Shah, F. Bezzo (2011). Assessing the economic and environmental performance of ethanol supply chains under market uncertainty.&nbsp;<em>Presented at ISAF XIX, Verona, Italy, 10-14 October 2011<\/em>.<\/li>\r\n \t<li>Sforza, E., A. Bertucco, T. Morosinotto, F. Bezzo, G.M. Giacometti (2011). Autotrophic growth of Nannochloropsis salina in a continuous photobioreactor.&nbsp;<em>Presented at ISAF XIX, Verona, Italy, 10-14 October 2011<\/em>.<\/li>\r\n \t<li>Facco, P., A. Masiero, F. Bezzo, M. Barolo, A. Beghi (2011). Improved multivariate image analysis for product quality monitoring.&nbsp;<em>Chemom. Intell. Lab. Sys.<\/em>,&nbsp;<strong>109<\/strong>, 42-50.<\/li>\r\n \t<li>Facco, P., A. Masiero, F. Bezzo, A. Beghi, M. Barolo (2011). An improved multivariate image analysis method for quality control of nanofiber membranes. In:&nbsp;<em>Proceedings IFAC 18th World Congress, 28 August-2 September 2011, Milan, Italy<\/em>&nbsp;(S. Bittanti, A. Cenedese and S. Zampieri, Eds.) 12066-12071.<\/li>\r\n \t<li>Galvanin, F., M. Barolo, F. Bezzo (2011). Online redesign of clinical tests for the identification of type 1 diabetes models in the presence of continuous glucose monitoring systems. In:&nbsp;<em>Proceedings IFAC 18th World Congress, 28 August-2 September 2011, Milan, Italy<\/em>&nbsp;(S. Bittanti, A. Cenedese and S. Zampieri, Eds.) 8328-8333.<\/li>\r\n \t<li>Khor, C.S., S. Giarola, B. Chachuat, N. Shah (2011). An optimization-based framework for process planning under uncertainty with risk management.&nbsp;<em>Chem. Prod. Process Model.<\/em>,&nbsp;<strong>6<\/strong>(2), Article 2.<\/li>\r\n \t<li>Giarola, S., A. Zamboni, F. Bezzo (2011). Spatially-explicit multi-objective optimisation for design and planning of hybrid first and second generation biorefineries.&nbsp;<em>Comput. Chem. Eng.<\/em>,&nbsp;<strong>35<\/strong>, 1782-1797.<\/li>\r\n \t<li>Sforza, E., F. Bezzo, T. Morosinotto, G.M. Giacometti, A. Bertucco (2011). Effect of light intensity and high frequency pulsation on autotrophic growth of Nannochloropsis salina in flat plate reactor.&nbsp;<em>Presented at the 1st International Conference on Algal Biomass, Biofuels and Bioproducts, 17-20 July 2011, Westin St. Luis, USA<\/em>.<\/li>\r\n \t<li>Zamboni, A., R.J. Murphy, J. Woods, F. Bezzo, N. Shah (2011) Biofuels carbon footprints: Whole-systems optimization for GHG emissions reduction.&nbsp;<em>Bioresour. Technol.<\/em>,&nbsp;<strong>102<\/strong>, 7457-7465.<\/li>\r\n \t<li>Galvanin, F., M. Barolo, G. Pannocchia, F. Bezzo (2011). A disturbance estimation approach for online model-based redesign of experiments in the presence of systematic errors. In:&nbsp;<em>Computer Aided Chemical Engineering 29, European Symposium on Computer Aided Process Engineering<\/em>&nbsp;(E.N. Pistikopoulos, M.C. Georgiadis, A.C. Kokossis, Eds.), Elsevier, Amsterdam (The Netherlands), 467-471.<\/li>\r\n \t<li>Zamboni, A., S. Giarola, F. Bezzo (2011). Towards second generation bioethanol: Supply chain design and capacity planning. In:&nbsp;<em>Computer Aided Chemical Engineering 29, European Symposium on Computer Aided Process Engineering<\/em>&nbsp;(E.N. Pistikopoulos, M.C. Georgiadis, A.C. Kokossis, Eds.), Elsevier, Amsterdam (The Netherlands), 1693-1697.<\/li>\r\n \t<li>Giarola, S., A. Zamboni, F. Bezzo (2011). Supply chain design and capacity planning: From first to second generation biofuel systems. In:&nbsp;<em>Chemical EngineeringTransactions 24, ICheaP-10<\/em>&nbsp;(S. Pierucci, Ed.), AIDIC, Milan (Italy) 253-258.<\/li>\r\n \t<li>Zamboni, A., N. Shah, F. Bezzo (2011). Whole-systems optimisation for carbon footprints reduction of corn bioethanol. In:<em>Proceedings World Renewable Energy Congress 2011, 8-11 May, Link\u00f6ping, Sweden<\/em>&nbsp;(B. Moshfegh, Ed.), Link\u00f6ping University Electronic Press, 3637-3644.<\/li>\r\n \t<li>Akgul, O., A. Zamboni, F. Bezzo, N. Shah, L.G. Papageorgiou (2011). Optimization-based approaches for bioethanol supply chains.&nbsp;<em>Ind. Eng. Chem. Res.<\/em>,&nbsp;<strong>50<\/strong>, 4927-4938.<\/li>\r\n \t<li>Dal Mas, M., S. Giarola, A. Zamboni, F. Bezzo (2011). Strategic design and investment capacity planning of the ethanol supply chain under price uncertainty.&nbsp;<em>Biomass Bioenerg.<\/em>,&nbsp;<strong>35<\/strong>, 2059-2071.<\/li>\r\n \t<li>Ottavian, M., M. Barolo, H. Zisser, E. Dassau, D.E. Seborg (2011). Improved blood glucose control for critically ill subjects.&nbsp;<em>J. Process Control<\/em>,&nbsp;<strong>21<\/strong>, 331-342.<\/li>\r\n \t<li>Galvanin, F., M. Barolo, S. Macchietto, F. Bezzo (2011). Optimal design of clinical tests for the identification of physiological models of type 1 diabetes in the presence of model mismatch.&nbsp;<em>Med. Biol. Eng. Comput.<\/em>,&nbsp;<strong>49<\/strong>, 263-277.<\/li>\r\n \t<li>Galvanin, F., A. Boschiero, M. Barolo, F. Bezzo (2011). Model-based design of experiments in the presence of continuous measurement systems.&nbsp;<em>Ind. Eng. Chem. Res.<\/em>,&nbsp;<strong>50<\/strong>, 2167-2175.<\/li>\r\n<\/ul>\r\n<h3>Year 2010<\/h3>\r\n<ul class=\"normallist\">\r\n \t<li>Galvanin, F., M. Barolo, S. Macchietto, F. Bezzo (2010). Identification of physiological models of type 1 diabetes mellitus by model-based design of experiments. In: <em>Process Systems Engineering: Vol. 7 Dynamic Process Modeling<\/em> (J.R. Banga, M.C. Georgiadis, E.N. Pistikopoulos, Eds.), Wiley-VCH Verlag, Weinheim (Germany), 545-581.<\/li>\r\n \t<li>Ottavian, M., M. Barolo, H. Zisser, E. Dassau, D.E. Seborg (2010). A novel glucose control strategy for intensive care unit applications. In: <em>Proceedings UKACC International Conference on CONTROL 2010, Coventry University, UK, 7-10 September<\/em> (K.J. Burham and V.E. Ersanilli, Eds.), 799-804.<\/li>\r\n \t<li>Galvanin, F., M. Barolo, F. Bezzo (2010). On the optimal design of clinical tests for the identification of type 1 diabetes models in the presence of continuous glucose monitoring systems. In: <em>Proceedings UKACC International Conference on CONTROL 2010, 7-10 September, 2010, Coventry University, UK<\/em> (K.J. Burham and V.E. Ersanilli, Eds.), 321-326.<\/li>\r\n \t<li>Facco, P., E. Tomba, M. Roso, M. Modesti, F. Bezzo, M. Barolo (2010). Automatic characterization of nanofiber assemblies by image texture analysis. <em>Chemom. Intell. Lab. Sys.<\/em>, <strong>103<\/strong>, 66-75.<\/li>\r\n \t<li>Facco, P., E. Tomba (2010). Soft sensor for the characterization of fibrous materials through multivariate and multiresolution image analysis. In: <em>Proceedings IEEE Sensors Conference 2010, Waikoloa (Hawaii, USA), Novembre 4-8<\/em>, 1319-132.<\/li>\r\n \t<li>Galvanin, F., M. Barolo, F. Bezzo (2010). A framework for model-based design of experiments in the presence of continuous measurement systems. In: <em>Proceedings DYCOPS 2010, 9th Intern. Symp. on Dynamics and Control of Process Systems, Leuven, Belgium, 5-7 July 2010<\/em> (M. Kothare, M. Tade, A. Vande Wouwer, I. Smets, Eds.), IFAC, 557-562.<\/li>\r\n \t<li>Galvanin, F., M. Barolo, F. Bezzo, S. Macchietto (2010). A backoff strategy for model-based experiment design under parametric uncertainty. <em>AIChE J.<\/em>, <strong>56<\/strong>, 2088-2102.<\/li>\r\n \t<li>Dal Mas, M., S. Giarola, A. Zamboni, F. Bezzo (2010). Capacity planning and financial optimization of the bioethanol supply chain under price uncertainty. In: <em>Computer Aided Chemical Engineering 28, European Symposium on Computer Aided Process Engineering<\/em> (S. Pierucci, G. Buzzi-Ferraris, Eds.), Elsevier, Amsterdam (The Netherlands), 97-102.<\/li>\r\n \t<li>Facco, P., F. Benozzo, M. Barolo, P. Berzaghi (2010). Comparison between different standardization methods for the quality estimation of forages in portable NIR spectrometers. In: <em>Proc. NIR on the Go 2010 (Padova, Italy; May 27-28)<\/em>, 23-25.<\/li>\r\n \t<li>Sudiro, M., M. Pellizzaro, F. Bezzo, A. Bertucco (2010). Simulated moving bed technology applied to coal gasification. <em>Chem. Eng. Res. Des.<\/em>, <strong>88<\/strong>, 465-475.<\/li>\r\n \t<li>Tomba, E., P. Facco, M. Roso, M. Modesti, F. Bezzo, M. Barolo (2010). Artificial vision system for the automatic measurement of interfiber pore characteristics and fiber diameter distribution in nanofiber assemblies. <em>Ind. Eng. Chem. Res.<\/em>, <strong>49<\/strong>, 2957-2968.<\/li>\r\n \t<li>Facco, P., F. Bezzo, M. Barolo (2010). Nearest neighbor method for the automatic maintenance of multivariate statistical soft sensors in batch processing. <em>Ind. Eng. Chem. Res<\/em>, <strong>49<\/strong>, 2336-2347.<\/li>\r\n \t<li>Piccolo, C., M. Wiman, F. Bezzo, G. Lid\u00e9n (2010). Enzyme adsorption on SO2 catalyzed steam-pretreated wheat and spruce material. <em>Enzyme Microb. Technol.<\/em>, <strong>46<\/strong>, 159-169.<\/li>\r\n<\/ul>\r\n<h3>Year 2009<\/h3>\r\n<ul class=\"normallist\">\r\n \t<li>Facco, P., E. Tomba, M. Roso, M. Modesti, F. Bezzo and M. Barolo (2009). Surface characterization and quality monitoring of polymer nanofibre membranes using multivariate image analysis. <em>Presented at the AIChE 2009 Annual Meeting, Nashville, USA, 8-13 Novembre 2009<\/em>.<\/li>\r\n \t<li>Facco, P., F. Bezzo and M. Barolo (2009). Online maintenance of multivariate statistical soft sensors for quality monitoring in batch processes. <em>Presented at the AIChE 2009 Annual Meeting, 8-13 Novembre 2009, Nashville, USA<\/em>.<\/li>\r\n \t<li>Vernier, M., I.S. Kim, P. Lawrence and F. Bezzo (2009). Multiscale modelling of a typical industrial oxidation reactor for terephthalic acid production via a hybrid multizonal-CFD approach. <em>Presented at the AIChE 2009 Annual Meeting, 8-13 Novembre 2009, Nashville, USA<\/em>.<\/li>\r\n \t<li>Zamboni, A., F. Bezzo and N. Shah (2009). Spatially explicit static model for the strategic design of future bioethanol production systems. 2. Multiobjective environmental optimization. <em>Energy Fuels<\/em>, <strong>23<\/strong>, 5134-5143.<\/li>\r\n \t<li>Zamboni, A., N. Shah and F. Bezzo (2009). Spatially explicit static model for the strategic design of future bioethanol production systems. 1. Cost minimization. <em>Energy Fuels<\/em>, <strong>23<\/strong>, 5121-5133.<\/li>\r\n \t<li>Galvanin, F., M. Barolo, S. Macchietto and F. Bezzo (2009). On the optimal design of clinical tests for the identification of physiological models of type 1 diabetes mellitus. In: <em>Computer-Aided Chemical Engineering 27, 10th International Symp. on Process Systems Engineering<\/em> (R.M. Brito-Alves, C.A. Oller do Nascimento, E.C. Biscaia Jr., Eds.), Elsevier, Amsterdam (The Netherlands), 183-188.<\/li>\r\n \t<li>Piccolo, C., G. Lid\u00e9n and F. Bezzo (2009). Effect of substrate specific area on lignocellulose enzymatic hydrolysis: An experimental and modeling investigation. In: <em>Computer-Aided Chemical Engineering 27, 10th International Symp. on Process Systems Engineering<\/em> (R.M. Brito-Alves, C.A. Oller do Nascimento, E.C. Biscaia Jr., Eds.), Elsevier, Amsterdam (The Netherlands), 1701-1706.<\/li>\r\n \t<li>Zamboni, A., F. Bezzo and N. Shah (2009). Supply chain optimization for bioethanol production system in Northern Italy: Environmentally conscious strategic design. In: <em>Computer-Aided Chemical Engineering 27, 10th International Symp. on Process Systems Engineering<\/em> (R.M. Brito-Alves, C.A. Oller do Nascimento, E.C. Biscaia Jr., Eds.), Elsevier, Amsterdam (The Netherlands), 2037-2042.<\/li>\r\n \t<li>Dal Mas, M., A. Zamboni and F. Bezzo (2009). Bioethanol production in Northern Italy: supply chain design and capacity planning under uncertainty. <em>Presented at the 17th European Biomass Conference and Exhibition \u2013 From Reasearch to Industry and Markets, 29 June \u2013 3 July, Hamburg, Germany<\/em>.<\/li>\r\n \t<li>Zamboni, A., N. Shah and F. Bezzo (2009). Bioethanol production system in Northern Italy: Supply chain design and cost optimisation. In: <em> Design for Energy and the Environment<\/em> (M.M. El-Halwagi, A.A. Linninger, Eds.), CRC Press, Boca Raton FL (U.S.A.), 125-139.<\/li>\r\n \t<li>Galvanin, F., M. Barolo, F. Bezzo and S. Macchietto (2009). A backoff-based strategy to improve robustness in model-based experimental design under parametric uncertainty. In: <em> Design for Energy and the Environment<\/em> (M.M. El-Halwagi, A.A. Linninger, Eds.), CRC Press, Boca Raton FL (U.S.A.), 623-630.<\/li>\r\n \t<li>Galvanin, F., M. Barolo and F. Bezzo (2009). Online model-based re-design of experiments for parameter estimation in dynamic systems. <em> Ind. Eng. Chem. Res.<\/em>, <strong>48<\/strong>, 4415-4427.<\/li>\r\n \t<li>Facco, P., R. Mukherjee, F. Bezzo, M. Barolo and J.A. Romagnoli (2009). Monitoring roughness and edge shape on semiconductors through multiresolution and multivariate image analysis. <em>AIChE J.<\/em>, <strong>55<\/strong>, 1147-1160.<\/li>\r\n \t<li>Faggian, A., P. Facco, F. Doplicher, F. Bezzo and M. Barolo (2009). Multivariate statistical real-time monitoring of an industrial fed-batch process for the production of specialty chemicals. <em> Chem. Eng. Res. Des.<\/em>, <strong>87<\/strong>, 325-334.<\/li>\r\n \t<li>Facco, P., F. Doplicher, F. Bezzo and M. Barolo (2009). Moving-average PLS soft sensor for online product quality estimation in an industrial batch polymerization process. <em> J. Process Cont.<\/em>, <strong>19<\/strong>, 520-529.<\/li>\r\n \t<li>Galvanin, F., M. Barolo, S. Macchietto and F. Bezzo (2009). Optimal design of clinical tests for the identification of physiological models of type 1 diabetes mellitus. <em> Ind. Eng. Chem. Res.<\/em>, <strong>48<\/strong>, 1989-2002.<\/li>\r\n \t<li>Piccolo, C. and F. Bezzo (2009). A techno-economical comparison between two technologies for bioethanol production from lignocellulose. <em> Biomass Bioenerg.<\/em>, <strong>33<\/strong>, 478-491.<\/li>\r\n<\/ul>\r\n<h3>Year 2008<\/h3>\r\n<ul class=\"normallist\">\r\n \t<li>Galvanin, F., M. Barolo and F. Bezzo (2008). Towards on-line model-based design of experiments. In: <em>European Symposium on Computer Aided Process Engineering \u2013 18 <\/em> (B. Braunschweig and X. Joulia, Eds.), Elsevier, Amsterdam (The Netherlands), 349-354.<\/li>\r\n \t<li>Facco, P., A. Faggian, F. Doplicher, F. Bezzo and M. Barolo (2008). Virtual sensors can reduce lab analysis requirements in the industrial production of specialty chemicals. In: <em>Proc. EMCC5 \u2013 5th Chemical Engineering Conference for Collaborative Research in Eastern Mediterranean Countries<\/em>, Cetraro (Italy), May 24-29, 178-181.<\/li>\r\n \t<li>Barolo, M., F. Bezzo and P. Facco (2008). Sensori virtuali per monitorare la qualit\u00e0 di prodotti e processi. <em>ICP<\/em>, <strong>XXXVI<\/strong>(4), 82-84.<\/li>\r\n \t<li>Franceschin, G., A. Zamboni, F. Bezzo and A. Bertucco (2008). Ethanol from corn: a technical and economic assessment based on different scenarios. <em>Chem. Eng. Res. Des.<\/em>, <strong>86<\/strong>, 488-498.<\/li>\r\n \t<li>Marchetti, G., M. Barolo, L. Jovanovi\u010d, H. Zisser and D. E. Seborg (2008). An improved PID switching control strategy for type 1 diabetes. <em>IEEE Trans. Biomed. Eng.<\/em>, <strong>55<\/strong>, 857-865.<\/li>\r\n \t<li>Marchetti, G., M. Barolo, L. Jovanovi\u010d, H. Zisser and D. E. Seborg (2008). A feedforward-feedback glucose control strategy for type 1 diabetes mellitus. <em>J. Process Control<\/em>, <strong>18<\/strong>, 149-162.<\/li>\r\n<\/ul>\r\n<h3>Year 2007<\/h3>\r\n<ul class=\"normallist\">\r\n \t<li>Bezzo, F. and A. Bertucco (2007). Aspetti Tecnico-Economici della Produzione di Bioetanolo e Prospettive Future, in <em>Biocarburanti e Biocombustibili \u2013 Soluzioni, Tecnologie, Agevolazioni<\/em>, IPSOA, Milano, 189-207.<\/li>\r\n \t<li>Franceschin, G., M. Sudiro, A. Zamboni, F. Bezzo, A. Bertucco (2007). Energy and economic assessment of bioethanol production by a dry milling process, In: <em>AIDIC Conference Series, Vol.8<\/em>, 141-150.<\/li>\r\n \t<li>Facco, P., M. Olivi, C. Rebuscini, F. Bezzo and M. Barolo (2007). Multivariate Statistical Estimation of Product Quality in the Industrial Batch Production of a Resin. <em>Proc. DYCOPS 2007 \u2013 8th IFAC Symposium on Dynamics and Control of Process Systems <\/em>(B. Foss and J. Alvarez, Eds.), Cancun (Mexico), June 6-8, vol. 2, 93-98.<\/li>\r\n \t<li>Galvanin, F., S. Macchietto and F. Bezzo (2007). Model-based design of parallel experiments. <em>Ind. Eng. Chem. Res.<\/em>, <strong>46<\/strong>, 871-882.<\/li>\r\n \t<li>Infanti, R., M. Ostoich and F. Bezzo (2007). Caratterizzazione della Qualit\u00e0 delle Acque Superficiali tramite Tecniche di Analisi Multivariabile: Applicazione al Bacino Scolante in Laguna di Venezia, <em>Ingegneria Ambientale<\/em>, <strong>XXXVI <\/strong>(9), 457-470.<\/li>\r\n \t<li>Piccolo, C. and F. Bezzo (2007). Ethanol from lignocellulosic biomass: a comparison between conversion technologies, <em>Computer-Aided Chemical Engineering 24,<\/em> <em>17th<\/em> <em>European Symp. on Computer Aided Process Engineering <\/em>(V. Plesu and P.S. Agachi, Eds.)<em>, <\/em>Elsevier, Amsterdam, Paesi Bassi, 1277-1282.<\/li>\r\n<\/ul>\r\n<h3>Year 2006<\/h3>\r\n<ul class=\"normallist\">\r\n \t<li>Galvanin, F., M. Barolo, F. Bezzo and S. Macchietto (2006). A Framework for Model-Based Design of Parallel Experiments in Dynamic Systems. In: <em>European Symposium on Computer Aided Process Engineering \u2013 16<\/em> (W. Marquardt and C. Pantelides, Eds.), Elsevier, Amsterdam (The Netherlands), 249-254.<\/li>\r\n \t<li>Marchetti, G., M. Barolo, L. Jovanovi\u010d, H. Zisser and D. E. Seborg (2006). Preprandial and Feedforward-Feedback Control Strategies Can Improve Postprandial Responses for Type 1 Diabetes. Presented at the <em>Sixth Annual Diabetes Technology Meeting<\/em> (Atlanta, GA, U.S.A.; November 2-4).<\/li>\r\n \t<li>Marchetti, G., M. Barolo, L. Jovanovi\u010d, H. Zisser and D. E. Seborg (2006). An Improved PID Switching Control Strategy for Type 1 Diabetes. <em>Proc. 28th IEEE EMBS Annual Int. Conf.<\/em>, New York City (U.S.A.), Aug. 30-Sept. 3, 5041-5044.<\/li>\r\n \t<li>Muradore, R., F. Bezzo (2006). A framework for PLS-SIM integration. <em> Proc. 14th IFAC Symposium on System Identification, SYSID-2006<\/em>, Newcastle (Australia), 29-31 March 2006, 291-296.<\/li>\r\n \t<li>Muradore, R., F. Bezzo and M. Barolo (2006). Optimal Sensor Location for Distributed Sensor Systems using Multivariate Regression. <em>Comput. Chem. Eng.<\/em>, <strong>30<\/strong>, 521-534.<\/li>\r\n<\/ul>\r\n<h3>Year 2005<\/h3>\r\n<ul class=\"normallist\">\r\n \t<li>Bezzo, F. and M. Barolo (2005). Understanding the Dynamic Behaviour of Middle-Vessel Continuous Distillation Columns. <em>Chem. Eng. Sci.<\/em>, <strong>60<\/strong>, 553-563.<\/li>\r\n \t<li>Bezzo, F., F. Micheletti, R. Muradore and M. Barolo (2005). Using MPC to Control Middle-Vessel Continuous Distillation Columns. <em>J. Process Control<\/em>, <strong>15<\/strong>, 925-930.<\/li>\r\n \t<li>Bezzo, F., R. Muradore and M. Barolo (2005). Using Structured and Unstructured Estimators for Distillation Units: a Critical Comparison. In: <em>European Symposium on Computer Aided Process Engineering \u2013 15<\/em> (L. Puigjaner, Ed.), Elsevier, Amsterdam (The Netherlands), 1201-1206.<\/li>\r\n \t<li>Bezzo, F., S. Macchietto and C. C. Pantelides (2005). Computational issues in hybrid multizonal\/computational fluid dynamics models. <em>AIChE J.<\/em>, <strong>51<\/strong>, 1169-1177.<\/li>\r\n \t<li>Muradore, R., F. Bezzo and M. Barolo (2005). Metodo Sequenziale per l\u2019Allocazione Ottimale dei Sensori di Misura. <em>Automaz. e Strumentaz.<\/em>, <strong>LIII<\/strong>(3), 97-103.<\/li>\r\n \t<li>Tronci, S., F. Bezzo, M. Barolo and R. Baratti (2005). Geometric Observer for a Distillation Column: Development and Experimental Testing. <em>Ind. Eng. Chem. Res.<\/em>, <strong>44<\/strong>, 9884-9893.<\/li>\r\n \t<li>Zamprogna, E., M. Barolo and D. E. Seborg (2005). Optimal Selection of Soft Sensor Inputs for Batch Distillation Columns using Principal Component Analysis. <em>J. Process Control<\/em>, <strong>15<\/strong>, 39-52.<\/li>\r\n<\/ul>\r\n<ul class=\"normallist\"><\/ul>\r\n<\/div>\r\n<\/div>\r\n<\/div>\r\n<\/div>","protected":false},"excerpt":{"rendered":"<p>Relevant topics Watch some video highlights of our publications VIDEO HIGHLIGHTS List of publications Year 2026 Tizzani, R., A. Torrisi, F. Bezzo, E. Sforza (2026). Design of experiments-driven optimization of Porphyridium marinum cultivation: impact of operational variables on phycoerythrin and exopolysaccharide production. Biofuels, Bioprod. Biorefin., 20, 1506\u20131522. Caetano, A.H.V., F. Bezzo, M. Geremia, K.V. Gernaey,&hellip; <br \/> <a class=\"read-more\" href=\"https:\/\/research.dii.unipd.it\/capelab\/publications-2\/\">Leggi tutto<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":3,"comment_status":"closed","ping_status":"closed","template":"pro\/page-templates\/full-width-page.php","meta":{"ngg_post_thumbnail":0,"footnotes":""},"folder":[],"class_list":["post-32","page","type-page","status-publish","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.5 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Publications - CAPE-Lab<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/research.dii.unipd.it\/capelab\/publications-2\/\" \/>\n<meta property=\"og:locale\" content=\"it_IT\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Publications - CAPE-Lab\" \/>\n<meta property=\"og:description\" content=\"Relevant topics Watch some video highlights of our publications VIDEO HIGHLIGHTS List of publications Year 2026 Tizzani, R., A. Torrisi, F. Bezzo, E. Sforza (2026). Design of experiments-driven optimization of Porphyridium marinum cultivation: impact of operational variables on phycoerythrin and exopolysaccharide production. Biofuels, Bioprod. Biorefin., 20, 1506\u20131522. Caetano, A.H.V., F. Bezzo, M. Geremia, K.V. 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