Research Interests:

Data Science, Machine Learning, Automation, Mathematical Modelling, Condition Monitoring, Signal Processing, Process Analytical Technology, Quality-byDesign, Pharmaceutical Manufacturing, Granulation, Tableting, and Material Characterization

Abstract Text

As the pharmaceutical industry moves towards continuous manufacturing, real-time process management (RTPM) would be a critical component to achieving product quality specifications and maintaining process stability. RTPM tasks require automating predictions that can lead to effective process management decisions, and these predictions are automated via models that effectively distill information and knowledge from all available process data.

Because of the complexity of the process system, and the nature of the data, hybrid modeling strategies are often required. This research showcases the use of hybrid modeling approaches to automate condition monitoring and implement a condition-based maintenance strategy to manage a continuous pharmaceutical tablet manufacturing line.