EECS Ph.D. student Yicheng Zhu (advisor: Robert Pilawa-Podgurski) has won an NVIDIA Graduate Fellowship. Zhu, whose research interests include enabling technologies for high-performance electric power conversion, is one of five recipients of the fellowship, which awards up to $50,000 to each recipient in support of research in areas such as accelerated computing, with fellows tackling projects in deep learning, robotics, computer vision, computer graphics, circuits, autonomous vehicles, and programming systems. Awardees are selected from a highly competitive, global applicant pool and will participate in a summer internship with NVIDIA. Spanning 22 years, NVIDIA has awarded $6 million to nearly 200 students to support graduate research. “Our fellowship recipients are among the most talented graduate students in the world,” said NVIDIA Chief Scientist Bill Dally. “They’re working on some of the most important problems in computer science, and we’re delighted to support their research.” Zhu’s research will explore extreme-performance hybrid switched-capacitor voltage regulation modules for ultra-high-power GPUs, which enables highly efficient and ultra-compact vertical power delivery with fast transient response.