Zishen Wan is PhD student at School of Electrical and Computer Engineering of Georgia Institute of Technology, advised by Prof. Arijit Raychowdhury and Prof. Tushar Krishna. His research interests are computer architecture and VLSI, with a focus on designing efficient and resilient hardware and systems for autonomous machines and cognitive intelligence. Zishen’s work has been recognized by the Best Paper Award at DAC’20 and CAL’20, Best Poster Award at IBM AICS’23, First place in ACM/SIGBED Student Research Competition, IEEE Micro Top Picks Honorable Mention, Qualcomm Fellowship, and selected as 2023 Machine Learning and Systems Rising Star.
The next ubiquitous computing platform is likely to be autonomous and embodied nature, such as drones, robots, and self-driving cars. However, autonomous systems are becoming increasingly complex, imposing hefty design efforts, latency, energy, and reliability challenges. My research focuses on Autonomous Machine Computing Hardware and Systems, emphasizing system-level innovations and cross-stack co-design to intelligently build software and hardware support for cyber-physical autonomous and embodied intelligence. By bridging system, hardware architecture and solid-state silicon, I endeavor to enhance the efficiency, reliability, trustworthiness, and cognition of autonomous and embodied intelligence.