Tongxin Li
Assistant Professor, Presidential Young Fellow at CUHK-Shenzhen

Dao Yuan Building, 323A
School of Data Science
CUHK-Shenzhen
I am currently a tenure-track assistant professor in the School of Data Science (SDS) at The Chinese University of Hong Kong, Shenzhen (CUHK-Shenzhen).
Prior to joining SDS, I received a PhD in CMS at the California Institute of Technology advised by Dr. Steven H. Low, and co-advised by Dr. Adam Wierman. I graduated from CUHK in a dual-degree program and obtained a BEng in information engineering, a BSc in mathematics and an MPhil in information engineering. I interned twice as an applied scientist at AWS security in the summers of 2020 and 2021.
My research interests focus on interdisciplinary topics in online decision-making machine learning, and optimization, with applications to power systems and sustainability. In particular, I am interested in developing trustworthy machine learning techniques that improve the sustainability, robustness, scalability, privacy, and resilience of intelligent energy infrastructure. Some of my recent projects include learning-augmented control, data science and ML methods in smart grids.
RECRUITMENT ANNOUNCEMENT: I am looking for PhD students, research assistants (long-term only), and postdoctoral researchers with strong backgrounds in mathematics (math degrees are preferable) who are interested in contributing to the emerging domains of
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Energy systems and sustainability
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Online algorithms and learning-based decision-making
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Trustworthy machine learning in cyber-physical systems
Feel free to send me an email with your CV attached. Other formats of local and remote collaboration are also welcomed.
news
Jul 20, 2023 | 2023 INFORMS Annual Meeting, Session Chair, Session Topic: Learning-Augmented Decision-Making In Cyber-Physical Systems |
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Jul 20, 2023 | Panel discussion at PESGM 2023 (Recorded Talk: Link) |
Nov 19, 2022 | I received the SIGEnergy Doctoral Dissertation Award Honorable Mention. |
Oct 28, 2022 | Algorithms with Predictions Seminar Course Talk. Slides: Link |
Oct 22, 2022 | 2022 INFORMS Annual Meeting. Slides: Link |
Mar 1, 2022 | Our new paper about Optimal Phase-Balanced EV Charging has been accepted at PSCC 2022. |
Oct 24, 2021 | Talk in 2021 INFORMS Annual Meeting titled Learning-Based Predictive Control via Real-Time Aggregate Flexibility |
Jul 16, 2021 | Join AWS Security as a research scientist intern for three months |
Jul 13, 2021 | Check out two new papers on Robustness and Consistency for Linear Quadratic Control and Learning-Based Predictive Control |
Jun 16, 2021 | Presentation of the paper about Information Aggregation in Constrained Nonlinear Control in ACM SIGMETRICS 2021. Slides are available |