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Stephen P. Boyd is a professor in the Department of Electrical Engineering at Stanford University, where he holds the Samsung Professorship in the School of Engineering. His research interests focus on optimization and control, with applications in signal processing, machine learning, robotics, and risk management. Boyd has authored several influential books and numerous papers in these areas. He is also known for his development of software tools for convex optimization, which have been widely adopted in both academia and industry. In addition to his research, Boyd teaches various undergraduate and graduate courses, including ENGR108 and EE364a, and continues to contribute to the field through his teaching and mentorship of students.
The Computer Science department emphasizes research potential. GRE General is currently optional but recommended for some tracks.