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

• Artificial Intelligence and Intelligent Agents
• 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 Fall Courses

• CSC 495-001 LEC SP Top Comp Sci - Advanced Algorithms   F 12:50pm-3:35pm   Room: 1212 Engineering Building 2

• CSC 714-001 LEC Real Time Comp Sys   F 9:35am-12:20pm   Room: TBA

• CSC 801-002 PRB Sem Computer Sci   F 12:00pm-12:50pm   Room: 3211 Engineering Building II

Awards

• 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)