Samy Mukadi, Professor, PhD, P.Eng

Area of Study / Keywords

Teaching Professor Chemically Reacting Processes Computation Fluid Dynamics Mathematical Modeling Multiphase Reactors

CH E 345 - Chemical Reactor Analysis I

Kinetics of chemical reactions and design of ideal chemical reactors. Prerequisites: CME 265, CH E 343 and CH E 374. Corequisite: CH E 314.

CH E 358A - Process Data Analytics and Machine Learning

Statistical analysis of process data from chemical process plants and course laboratory experiments. Topics covered include linear and nonlinear regression, dimensionality reduction, classification, deep learning, and design of experiments. Prerequisites: CH E 351 and STAT 235. Corequisites: CH E 314 and CH E 345.

CH E 358B - Process Data Analytics and Machine Learning

Statistical analysis of process data from chemical process plants and course laboratory experiments. Topics covered include linear and nonlinear regression, dimensionality reduction, classification, deep learning, and design of experiments. Prerequisites: CH E 351 and STAT 235. Corequisites: CH E 314 and CH E 345.

CH E 445 - Chemical Reactor Analysis II

Analysis and design of non-ideal chemical reactors for industrial product synthesis. Prerequisites: CH E 314, 318 and 345.

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