• Education:

  Moscow Institute of Physics and Technology

Mohammad Alkousa received his bachelor’s and master’s degrees in mathematics at Damascus University (Syria), completing his master’s thesis in elliptic functions theory. In 2020, he received his PhD in Mathematical Sciences fr om the Moscow Institute of Physics and Technology, Phystech School of Applied Mathematics and Informatics, wh ere he worked under the supervision of Professor Alexander V. Gasnikov. His dissertation focused on numerical methods for non-smooth convex optimization problems with functional constraints. He joined Innopolis University in December 2024 as an Assistant Professor in the Lab of High Performance Computing, and in September 2025, he became a Senior Researcher at the Laboratory of Modern Adaptive Computational Methods. His research interests include convex and non-convex optimization, saddle-point problems, variational inequalities, and their applications to machine learning.