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George Anwar is a Lecturer at the University of California, Berkeley in the Department of Mechanical Engineering. His research focuses on Model Predictive Control, which is a type of control algorithm that uses a model of the system to optimize control performance over a future horizon. He has extensively studied Distributed Robust Constrained Control, a method that enhances stability and robustness in control strategies for complex systems. Anwar is also interested in Automotive Control Systems, developing techniques to improve the performance and reliability of vehicles through advanced control algorithms. Additionally, his work includes Energy Efficient Building Control Systems, where he applies control theory to optimize energy usage in buildings, directly contributing to sustainability efforts in engineering. He is committed to educating future engineers and fostering innovation in mechanical engineering. His background combines theoretical and practical aspects of control systems, ensuring that his students gain both knowledge and skills applicable to real-world scenarios.
The Mathematics Subject GRE is required for the Fall 2026 admissions cycle. General GRE is optional.