we have developed an integrated monitoring system enabling realtime process monitoring and product quality classification in a process for the manufacturing of animal vaccines
we have developed a method for the automatic maintenance of data-driven models that monitor the manufacturing of pharmaceutical tablets
we have developed a methodology enabling the transfer of a spray-drying monitoring model across different plant scales
we have developed a software package for the periodic review of data historians from secondary pharmaceutical manufacturing systems to extract operation-relevant information
we have developed a data-driven method to investigate powder raw-materials (APIs and excipients) databases to aid the selection of new incoming materials based on their manufacturability
we have explored cloud data from professional cooking ovens to identify patterns and assist predictive maintenance
we have developed a method for the in-silico design of new formulations for solid oral drug products
we have developed a machine learning software tool to aid cell line screening, selection and performance prediction across static, shaken and stirred systems for accelerated bioprocess scale-up/scale-down
we have developed a machine vision system to automatically characterize the visual appearance of pharmaceutical tablets
we have developed a modelling approach and a methodology to accelerate the development of freeze-drying processes using model-based design of experiments
we have developed hybrid monitoring tool for fast fault detection and diagnosis in a fluid-bed dryer
we have developed and implemented a virtual sensor for the realtime prediction of product quality and batch duration in a resin manufacturing process
we have supported the development of a continuous process for the manufacturing of pharmaceutical tablets by highlighting the most significant sources of variability in the product quality
we have investigated the relation between manufacturing steps and product quality in a process for the manufacturing of toothpaste
we have provided a model-based alternative to standard experience-driven approaches to accelerate the scale-up of wheat milling operations
we have developed an artificial vision software tool to characterize the quality of nanostructured membranes to be employed in blood filtration
we have troubleshooted an industrial, multi-unit, multi-phase batch process for the manufacturing of a polymer stability enhancer
we have developed a model-based optimization approach to increase productivity in microalgae cultivation systems
we have trained industrial professionals on the use of multivariate statistical methods for process understanding, monitoring and design
