Jing Li

Jing Li is an Assistant Professor at the Department of Computer Science in the Ying Wu College of Computing at New Jersey Institute of Technology. She holds a Ph.D. in Computer Science from Washington University in St. Louis (2017), advised by Chenyang Lu and Kunal Agrawal.

• Ph.D. in Computer Science, Washington University in St. Louis (2017)
• M.S. in Computer Science, Washington University in St. Louis (2014)
• B.S. in Computer Science, Harbin Institute of Technology, China (2011)

Her research spans Real-Time Systems, Parallel Computing, Reinforcement Learning for System Design, and Scheduling Theory. Current projects include NSF-funded work on real-time systems with parallel resources and ARPA-E/IBM collaborations on reinforcement learning for converter design.

Recent publications focus on AI-driven scheduling, parallel task optimization, and reinforcement learning applications in traffic control and circuit design. Key venues include AAAI, RTSS, PPoPP, and RTAS.

• Outstanding Achievement in Research (2022)
• Outstanding Paper Awards at RTSS (2018), RTAS (2016), ECRTS (2013)
• Turner Dissertation Award (2017)

She advises graduate students in real-time systems and parallel computing, mentors NSF/ARPA-E projects, and leads professional services as TPC member and workshop organizer.