Modelling of Chemical Process Systems

Dr. Imtiaz received his PhD (University of Alberta) degrees in Chemical Engineering. After completing his PhD degree, he worked as a Staff Consultant at Aspen Technology implementing advanced control systems for refineries, ethylene plants, methanol plants, and petro-chemical plants. He has implemented over thirty unit-wide model predictive controllers. He joined Memorial University as an Assistant Professor in 2010, promoted to Associate Professor in 2016. Currently he is the Head of the Department in Process Engineering at Memorial University. His research interests involve process monitoring, control systems, modelling, and alarm management. He teaches several graduate and undergraduate level including undergraduate course on Process Modelling and Model Analysis. He has published over 80 journal and conference articles in these fields. He holds several research grants including NSERC Discovery Grant. He is also a recipient of Imperial Oil University Research Award.

Part I Theory and Background 1. Introduction to process modelling 2. Model equations and modelling methodology

Part II Micro Scale Modelling 3. Density functional theory (DFT) models for extraction of sulfur compounds from fuel oils by using ionic liquids 4. Molecular dynamics simulation in energy and chemical systems 5. Single event modelling of reaction kinetics 6. Modelling and simulation of batch and continuous crystallization processes

Part III Macro Scale Modelling of Process Systems 7. Fuel processing systems 8. Crude to chemicals: Conventional FCC unit still relevant

Part IV Machine Learning Techniques for Modelling Process Systems 9. Hybrid model for a diesel cloud point soft-sensor 10. Large-scale process models using deep learning