(6cr) Data-Driven Modeling in Chemical Engineering and Molecular Science
AIChE Annual Meeting
2018
2018 AIChE Annual Meeting
Meet the Faculty Candidate Poster Session – Sponsored by the Education Division
Meet the Faculty Candidate Poster Session
Sunday, October 28, 2018 - 1:00pm to 3:30pm
Recent advances in data-driven modeling and deep machine learning have revolutionized the fields of computer vision, natural language processing, and game playing. Inspired by these recent success, I demonstrate the application of several methods from deep generative modeling and reinforcement learning on problems in molecular design and discovery, transport phenomena, and process control.
Research Interests: Data-Driven Modeling and Machine Learning, Molecular Design and Discovery, Artificial Intelligence in Chemical Process Design and Control
Teaching Interests: Thermodynamics, Transport Phenomena, Chemical Reaction Engineering & Kinetics, Data Science in Chemical Engineering