معرفی
Yanjing Li is an Assistant Professor in the Department of Computer Science (Systems Group) at the University of Chicago. She holds a Ph.D. in Electrical Engineering from Stanford University, an M.S. in Mathematical Sciences (with honors) and a B.S. in Electrical and Computer Engineering (with a double major in Computer Science) from Carnegie Mellon University. Her research focuses on computer architecture, hardware security, emerging technologies, and the intersection of machine learning with robust system design.
Education:
- Ph.D., Electrical Engineering, Stanford University
- M.S., Mathematical Sciences (Honors), Carnegie Mellon University
- B.S., Electrical and Computer Engineering (Double Major in Computer Science), Carnegie Mellon University
Research Interests: Professor Li explores efficient, intelligent, and secure computer architectures. Key areas include photonic interconnects, fail-secure architectures, resilience in deep learning accelerators, and cross-layer system design. Her work emphasizes energy-efficient computing and hardware security against failures and attacks.
Awards & Honors:
- 2022 DAC Under-40 Innovators Award
- 2021 Google Research Scholar Award
- 2015 Intel Labs Gordy Academy Award
- Outstanding Dissertation Award (European Design and Automation Association)
- Multiple Best Paper Awards at IEEE/ACM Conferences
Advising & Projects: Leads the YLab, mentoring PhD students like Yi He and Zequan Zhou. Active projects include UpDown (graph analytics acceleration), photonic interconnects funded by NSF/E2CDA, and fail-secure architectures. Collaborates on NSF-funded photonic computing research with UIUC and UChicago teams.
Labs & Groups: Directs YLab and contributes to the Systems Group, fostering interdisciplinary work in systems, programming languages, and hardware-software co-design.
