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, and at Argonne National Laboratory with Dr. Feng Qiu and Dr. Wei Gao.