About Me
I’m Alisina Bayati, a Ph.D. student at the Coordinated Science Lab (CSL) at the University of Illinois at Urbana-Champaign. I’m also pursuing a Master of Science in Mathematics.
My research interests lie at the intersection of optimization, reinforcement learning, control theory, and sequential decision-making.
You can find a detailed overview of my academic and professional background in my CV. A summary of my research and course projects is available here.
News
Feb 25, 2026 — Presented “Integrating Control Theory and the Maximum Entropy Principle (MEP) for a Class of Constrained Resource Allocation Problems” at the CSL Student Conference 2026.
The talk received the Best Presentation Award in the Optimization & Reinforcement Learning session.Dec 2, 2025 — Successfully passed my Ph.D. Preliminary Examination in Mechanical Science & Engineering at the University of Illinois Urbana–Champaign.
Aug 15, 2025 — Our paper on multi-objective, multi-stage dynamic optimization for industrial drying systems was accepted to Energy Conversion & Management.
Energy efficiency in industrial drying: A hybrid ultrasonic system with a novel dynamic optimization framework,
Alisina Bayati, Amber Srivastava, Vedant Mundada, Srinivasa Salapaka, Hao Feng, and Amir Malvandi.
DOI: 10.1016/j.enconman.2025.120392Aug 11, 2025 — Received M.S. in Mathematics, University of Illinois Urbana–Champaign.
- Jul 15, 2025 — Two papers accepted to IEEE CDC 2025:
- A Control Barrier Function Approach to Constrained Resource Allocation Problems in a Maximum Entropy Principle Framework,
Alisina Bayati†, Dhananjay Tiwary†, and Srinivasa Salapaka.
IEEE Xplore - Orthogonal Nonnegative Matrix Factorization with Sparsity Constraints,
Salar Basiri, Alisina Bayati, and Srinivasa Salapaka.
IEEE Xplore
- A Control Barrier Function Approach to Constrained Resource Allocation Problems in a Maximum Entropy Principle Framework,
- Feb 29, 2024 — Our work on maximum entropy sparse linear regression was accepted to ECC 2024.
IEEE Xplore