Yang (Katie) Zhao

My research interest spans domain-specific acceleration chip design, computer architecture, and agile design automation. Specifically, my recent research centers around enabling ubiquitous AI-powered intelligent functionalities, particularly highlighting a holistic solution from efficient architectures, to chips, and to integrated systemsand advocating the design insight of marrying algorithm-hardware co-design techniques with application-level opportunities.

Y. Zhao, Z. Li, H. You, Y. Fu, Y. Zhang, C. Li, V. Boominathan, A. Veeraraghavan, and Y. Lin, “i-FlatCam: A 253 FPS, 91.49 μJ/Frame Ultra-Compact Intelligent Lensless Camera System for Real-Time and Efficient Eye Tracking in VR/AR”, 2022 IEEE Symposium on VLSI Technology and Circuits (VLSI), 2022, [First Place in the University Demo Best Demonstration at DAC 2022] H. You, C. Wan, Y. Zhao, Z. Yu, Y. Fu, C. Li, S. Zhang, S. Wu, J. Yuan, Y. Zhang, V. Boominathan, A. Veeraraghavan, Z. Li, and Y. Lin, "EyeCoD: Eye Tracking System Acceleration via FlatCam-Based Algorithm and Accelerator Co-Design",49th IEEE/ACM International Symposium on Computer Architecture (ISCA), 2022, [Selected as IEEE Micro Top Picks in Computer Architecture Conferences in 2023]