Summary
I am a Lecturer (US Assistant Professor) in the Computational Optimisation Group (COG) within the Department of Computing, supported by an EPSRC David Clarke Fellowship. My research interests are in the areas of optimisation algorithms, process dynamics/control, optimisation for machine learning, and process systems engineering.
Please view my research page for more information.
Biography
| Date | Role |
|---|---|
| 2022 - Present |
Lecturer (Assistant Professor) in Computing, Imperial College |
| 2020 - Present | EPSRC David Clarke Fellow, Imperial College |
| 2020 - 2022 | Imperial College Research Fellow, Imperial College |
| 2020 | PhD, University of Texas at Austin |
| 2015 | BS/BA, Rice University |
Selected Publications
Journal Articles
Ceccon F, Jalving J, Haddad J, et al., 2022, OMLT: Optimization & Machine Learning Toolkit, Journal of Machine Learning Research, Vol:23, ISSN:1532-4435
Thebelt A, Tsay C, Lee R, et al., 2022, Multi-objective constrained optimization for energy applications via tree ensembles, Applied Energy, Vol:306, ISSN:0306-2619, Pages:1-15
Tsay C, 2021, Sobolev trained neural network surrogate models for optimization, Computers & Chemical Engineering, Vol:153, ISSN:0098-1354, Pages:1-14
Tsay C, Baldea M, 2020, Integrating production scheduling and process control using latent variable dynamic models, Control Engineering Practice, Vol:94, ISSN:0967-0661
Tsay C, Kumar A, Flores-Cerrillo J, et al., 2019, Optimal demand response scheduling of an industrial air separation unit using data-driven dynamic models, Computers & Chemical Engineering, Vol:126, ISSN:0098-1354, Pages:22-34