Vinay Prasad, PhD

Area of Study / Keywords

Process Systems Engineering Mathematical and Molecular Modeling Energy Reaction Engineering and Catalysis Artificial Intelligence/Machine Learning Mineral Processing

About

My degrees are in chemical engineering and my research training is primarily in process control and systems engineering. I have academic experience in India, the USA and Canada and industrial experience in India and the USA.

Research

My research focuses on process systems engineering, including multiscale modeling, process estimation and monitoring, advanced control and optimization. The analysis of complex systems based on machine learning, data mining and graph/network-based approaches is of particular interest. The application areas of the research include chemoinformatics, real-time monitoring of complex reacting mixtures, reservoir engineering, froth flotation, biomass conversion, heterogeneous catalysis, CO2 capture and microalgal processes.

Keywords: Process Control, Process Systems Engineering, Machine learning, Data analytics, Big data, Reaction engineering, Chemoinformatics, Reservoir engineering, Froth flotation, CO2 capture

CME 265 - Process Analysis

Basic process principles; material and energy balances, transient processes, introduction to computer-aided balance calculations. Prerequisites: ENCMP 100, MATH 102 and CHEM 105. Corequisites: CH E 243 and MATH 209 or equivalent. Credit may not be obtained in this course if previous credit has been obtained for CH E 265.

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