Stephen Boyd

Stephen Boyd is a Professor in the Department of Electrical Engineering within Stanford University's College of Engineering. His current research focuses on convex optimization applications across multiple domains.

His primary research interests include:

• Convex Optimization as a foundational methodology
• Control systems theory and implementation
• Signal processing algorithms and architectures
• Machine learning model optimization
• Analog/digital circuit design techniques

Professor Boyd teaches core courses including EE 364A (Convex Optimization I) and ENGR 108 (Introduction to Matrix Methods), alongside extensive independent study supervision across 21 graduate/undergraduate research categories spanning Electrical Engineering, Computer Science, and Computational Mathematics.