Speaker: Seongbeom Lee from Stanford University
Seminar Abstract:More information coming soon.
Speaker Bio: Seongbeom Lee is a postdoctoral research fellow in the Department of Energy Resources Engineering at Stanford University (Advisor: Prof. Simona Onori). His research aims to create the very first, transformative and computationally optimized modeling framework for electrochemical energy storage systems that is able to accurately describe macroscale (both in 1-D and 2-D) dynamics used for design optimization and systematically transfer the accuracy and fidelity of such macroscale models to low-order/reduced models suitable for real-time control.Seongbeom received a B.E. in Chemical Engineering and a Master’s in Chemistry from Sogang University, Seoul, South Korea. He also earned a Ph.D. in Chemical Engineering from the University of Washington, Seattle. Seongbeom has been working on experiments, modeling, and simulations of electrochemical energy storage and conversion systems, and as a result, he has authored 5 peer-reviewed publications, combining material science, electrochemistry, computer science (e.g., machine learning), and mathematical techniques. This multidisciplinary expertise/experience enabled him to collaborate with many research groups, minimizing a collaboration time delay between modelers/controllers and experimentalists.
Seminar is open to all Stanford students, faculty and staff. Register via the RSVP link.