Vivienne Sze

Vivienne Sze is a Professor in the Department of Electrical Engineering and Computer Science at MIT and a member of CSAIL, where she leads the Energy-Efficient Multimedia Systems Group. Her research focuses on the joint design of algorithms, architectures, circuits, and systems that enable high-performance yet low-power computation for machine learning, computer vision, robotics, imaging, and advanced video compression. Sze’s work spans multiple layers of the computing stack, from energy-aware neural network design to specialized hardware accelerators and VLSI implementations that significantly reduce power consumption while preserving accuracy and speed. She has contributed extensively to next-generation video coding standards, efficient ML models for embedded systems, and perception modules for autonomous robots. Before joining MIT, Sze completed her PhD at MIT and worked at Texas Instruments on video codec architectures. She has been widely recognized with multiple best paper awards, the DARPA Young Faculty Award, the Edgerton Faculty Achievement Award, and honors from ACM, IEEE, and international video coding communities. Her group continues to push the boundaries of energy-efficient intelligence for future autonomous and mobile platforms.