Data-driven Process Systems Engineering Lab

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Manufacturing

Efficient Continuous Manufacturing, automation and scale-up or modularization can be efficiently designed and implemented using Process Systems Engineering tools. Our goal is to model and optimize systems in various sectors, such as pharmaceuticals, pulp and paper and natural gas.

Relevant Publications

  1. Continuous pharmaceutical manufacturing
    • Methods and Tools for Design Space Indentification in Pharmaceutical Development
    • Surrogate-based optimization of expensive flowsheet models for continuous pharmaceutical manufacturing
    • Reduced order Discrete Element Method (DEM) modeling
    • Improving continuous powder blending performance using Projection to Latent Structures regression
    • Computer-Aided Flowsheet Simulation of a Pharmaceutical Tablet Manufacturing Process Incorporating Wet Granulation
    • An integrated approach for dynamic flowsheet modeling and sensitivity analysis of a continuous tablet manufacturing process
    • Improving coating uniformity in pharmaceutical tablets: A QbD approach
    • Computational Approaches for Studying the Granular Dynamics of Continuous Blending Processes, 2 – Population Balance and Data-Based Methods
    • Dynamic Data-Driven Modeling of Pharmaceutical Processes
    • Design Space of pharmaceutical processes using data-driven based methods

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