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
- [08/15/2025]: Our journal paper on multi-objective multi-stage dynamic optimization in drying has been accepted to Energy Conversion & Management!
- Energy efficiency in industrial drying: A hybrid ultrasonic system with a novel dynamic optimization framework, by Alisina Bayati, Amber Srivastava, Vedant Mundada, Srinivasa Salapaka, Hao Feng, and Amir Malvandi.
DOI: 10.1016/j.enconman.2025.120392
- Energy efficiency in industrial drying: A hybrid ultrasonic system with a novel dynamic optimization framework, by Alisina Bayati, Amber Srivastava, Vedant Mundada, Srinivasa Salapaka, Hao Feng, and Amir Malvandi.
[08/11/2025]: I have officially obtained my Master of Science in Mathematics from the University of Illinois Urbana–Champaign!
- [07/15/2025]: Two papers are accepted to CDC 2025!
- A control barrier function approach to constrained resource allocation problems in a maximum entropy principle framework, by Alisina Bayati$^{\dagger}$, Dhananjay Tiwary$^{\dagger}$, and Srinivasa Salapaka. arXiv:2504.01378
- Orthogonal nonnegative matrix factorization with sparsity constraints, by Salar Basiri, Alisina Bayati, and Srinivasa Salapaka. arXiv:2210.02672
- [02/29/2024]: Our work on maximum entropy sparse linear regression is accepted in European Control Conference 2024, Sweden. Click here to check out our work.