Summary
I am a Lecturer (US Assistant Professor) in the Computational Optimisation Group within the Department of Computing. 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 - 2023 | 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
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
Ceccon F, Jalving J, Haddad J, et al., 2022, OMLT: optimization & machine learning toolkit, Journal of Machine Learning Research, Vol:23, ISSN:1532-4435
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