Biography
I am an Associate Professor in the Department of Computer Science at NC State University. My research interests lie in real-time scheduling theory, machine learning theory, and their applications to Cyber-Physical Systems.
Research Areas
- Algorithms and Theory of Computation
- Artificial Intelligence and Intelligent Agents
- Cyber-Physical Systems
- Embedded and Real-Time Systems
- Health Care Information Technology
- Parallel and Distributed Systems
Education
- Ph.D., Computer Science, University of North Carolina at Chapel Hill, 2016. (advisor: Prof. Sanjoy K. Baruah)
- M. Phil., Mechanical and Automation Engineering, The Chinese University of Hong Kong, 2011. (advisor: Prof. Jun Wang)
- B. E., Computer Science and Technology (with Honor), Tsinghua University, 2009.
- High School Diploma, National Talented Class in Science Olympiad, Ministry of Education, High School Attached to Tsinghua University, 2005. (~80 selected from >22,500,000 nationwide, all with direct admission to Tsinghua Univ. or Peking Univ., with the exemption from National College Entrance Examination)
CSC Spring Courses
- CSC 591-011 LEC SP Topic CSC - Foundations of Real-Time Syste MW 10:15am-11:30am Room: 2213 Engineering Building 3
- CSC 591-611 LEC SP Topic CSC - Foundations of Real-Time Syste Room: Distance Education - Online
- CSC 714-001 LEC Real Time Comp Sys MW 10:15am-11:30am Room: 2213 Engineering Building 3
Awards
- Best Paper Award, RTSS - 2023
- Best Paper Award, ICIST - 2023
- ACM SIGBED CAREER Award - 2023
- UCF Reach for the Stars Award - 2022
- Best Industry Solution Award, RTSS - 2021
- Best Paper Award, EMSOFT - 2020
- Best Student Paper Award, RTSS - 2019
- Outstanding Paper Award, RTSS - 2019
- Outstanding (Faculty) Undergraduate Teaching Award, Department of Computer Science, UNC-Chapel Hill - 2014-2015
Publications
My google scholar page
According to csrankings.org, I am one of the most active researchers in the "Embedded & real-time systems" domain.I also actively publish in several other domains, such as "Design automation", "Artificial Intelligence", and "Machine Learning."
- Two 12-minute seminar talks about my (still kind of) recent and ongoing research efforts in general (July 2020) and on scheduling (April 2022)