معرفی
Dr. Jing Li is an Associate Professor and Eduardo D. Glandt Faculty Fellow at the University of Pennsylvania, holding dual appointments in the Electrical and Systems Engineering and Computer and Information Science departments. As co-director of the CyberSavvy nationwide security research center and director of the Penn Computational Intelligence Lab (PennCIL), she pioneers innovations in non-von Neumann computing paradigms. Her research spans post-CMOS technologies, in-memory computing, and hardware-software co-design for security and AI applications.
- PhD in Computer Engineering, Purdue University (2009)
- BSc in Electrical Engineering, Shanghai Jiaotong University (2004)
Research Focus:
Dr. Li's work addresses fundamental challenges in computer systems across the stack. Key areas include:
- In-Memory Computing: Liquid Silicon architecture combining RRAM with silicon CMOS through monolithic 3D integration
- Security Engineering: Transforming computer security from "Art" to formal "Engineering" discipline within CyberSavvy
- Virtualization: Cloud FPGA abstraction layers decoupling compilation from runtime resource management
- Graph Analytics: Degree-aware optimization techniques for massive-scale graph processing
- Deep Learning Systems: Roofline model extensions for FPGA-based CNN acceleration
Scientific Impact:
Awarded DARPA Young Faculty Award, NSF CAREER Award, and IBM CEO Milestone Award, her team has achieved world records in energy-efficient computing (ENIAD supercomputer). With 46 U.S. patents and over 80 publications, she leads ecosystem development for emerging computing architectures through initiatives like the open-source MEG simulation platform.
Community Leadership:
Dr. Li serves on program committees for flagship conferences (ISCA, FPGA Symposium), chairs the International Memory Workshop, and contributes to the MLsys conference's inaugural committee. She actively mentors through multiple PhD openings and industry collaborations.
