OPTIMA (Optimization and Mathematical Analysis) Lab is a research group in the Department of Systems and Industrial Engineering at the University of Arizona led by Dr. Afrooz Jalilzadeh.
Research Goals
Research at OPTIMA is centered on the design, analysis, and implementation of stochastic approximation methods. These methods play a pivotal role in solving complex convex optimization and stochastic variational inequality problems. Our work extends to diverse applications in machine learning, game theory, and power systems. By focusing on these critical areas, we strive to develop robust and efficient solutions that have a profound impact on advancing technology and decision-making processes across a wide range of industries.
Top News
- Interested to join our lab? Check here.
- Received the Gerald J. Swanson Prize for Teaching Excellence from the University of Arizona.
- Our Paper on “Projection-Free Methods for Solving Nonconvex-Concave Saddle Point Problems” has been published in NeurIPS 2023.
- Awarded an NSF grant: “Generalized Stochastic Nash Equilibrium Framework: Theory, Computation, and Application“.