Yanjing Li

Assistant Professor
Department of Computer Science and the College

Yanjing Li’s research interests include robust system design and computer architecture and systems. Her research aims to enable optimized robust systems that span a wide range of designs, from large-scale cloud and high-performance computers to ultra-energy-efficient mobile, wearable, and Internet-of-Things applications, such that these systems will function as the user expects in the most efficient manner, despite underlying disturbances like hardware failures, design bugs, or even malicious attacks. Li has developed a wide range of efficient self-testing/self-repair techniques for complex multi-billion-transistor systems, which dramatically improve robustness with effectively invisible impacts to end users.

Her honors include an Intel Labs Gordy Academy Award, multiple Intel divisional recognition awards, an Outstanding Dissertation Award from the European Design and Automation Association, a Best Student Paper Award from the Institute of Electrical and Electronics Engineers (IEEE) International Test Conference, and a Best Paper Award from the IEEE Very Large Scale Integration (VLSI) Test Symposium.

Previously, Li was a senior research scientist at Intel Labs, where she was responsible for mobile/wearable processor designs that are now in production. She received her PhD in electrical engineering from Stanford University, as well as an MS in mathematical sciences and a BS in electrical and computer engineering from Carnegie Mellon University.

Read more about Yanjing Li