Mohamad Chehade

My research develops risk-aware and verifiable learning methods, so that decisions under uncertainty can be made with explicit risk specifications and, where possible, testable guarantees. The work spans reinforcement learning, inference-time alignment of large language models, verification of neural networks, and applications to power-system operation and control.

I am a Ph.D. student in Electrical and Computer Engineering at The University of Texas at Austin, advised by Prof. Hao Zhu. I received my B.Eng. in ECE with a minor in Mathematics from the American University of Beirut, where I worked with Prof. Rabih Jabr and Prof. Sami Karaki, and I have interned at Los Alamos National Laboratory with Dr. Wenting Li, Dr. Brian Bell, and Dr. Russell Bent.