Thomas Zhang (He, Him, His)
PhD, ESE '26 - Postdoctoral Researcher, Carnegie Mellon University
Thomas Zhang is a PhD student advised by Prof. Nikolai Matni. His research interests involve some combination of dynamical systems, statistical learning, and control theory. In particular, he is interested in studying the properties of learning-based methods applied on autocorrelated (non-i.i.d.) data generated by dynamical (control) systems. Prior to Penn, Thomas received BSc’s in Mathematics and Statistics & Data Science from Yale University, where he then spent a year as a research scientist in the Applied Mathematics Program.
Research Areas
- Data-Driven Control Algorithms
- Data-Driven Modeling and Estimation
- Learning for Control Systems
- Nonlinear Control Systems
- Robust and Optimized Control
- Machine Learning
Publications
Publisher ArXiv
Regret Analysis of Multi-task Representation Learning for Linear-Quadratic Adaptive Control
Publisher AAAI Conference on Artificial Intelligence
On The Concurrence of Layer-wise Preconditioning Methods and Provable Feature Learning
Publisher ArXiv
Performance–Robustness Tradeoffs in Adversarially Robust Control and Estimation
Publisher IEEE Transactions on Automatic Control
News
Research Areas
- Data-Driven Control Algorithms
- Data-Driven Modeling and Estimation
- Learning for Control Systems
- Nonlinear Control Systems
- Robust and Optimized Control
- Machine Learning