Cong Liu

Ph.D. - Computer Science
The University of North Carolina at Chapel Hill - 2013

M.S. - Computer Science
Auburn University - 2007

B.E. - Computer Science and Technology
Wuhan University of Technology - 2005

Cong Liu and James Anderson. Suspension-Aware Analysis for Hard Real-Time Multiprocessor Scheduling, Proceedings of the 25th EuroMicro Conference on Real-Time Systems (ECRTS), 2013 2013 - Publication

Cong Liu and James Anderson. An O(m) Analysis Technique for Supporting Real-Time Self-Suspending Task Systems, Proceedings of the 33th IEEE Real-Time Systems Symposium, 2012 2012 - Publication

Cong Liu, Jian Li, Wei Huang, Juan Rubio, Evan Speight, and Xiaozhu Lin. Power-Efficient Time-Sensitive Mapping in CPU/GPU Heterogeneous Systems, Proceedings of the 21st International Conference on Parallel Architectures and Compilation Techniques, 2012 2012 - Publication

Cong Liu and James Anderson. Supporting Soft Real-Time Parallel Applications on Multicore Processors, Proceedings of the 18th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, 2012 [PDF ]. Invited for a special issue (Best Papers of RTCSA'12) of the Journal of Systems Architecture: Embedded Software Design 2012 - Publication

Cong Liu. The Real-Time Multi-Resource Task Model, Proceedings of the 3rd Intl. Real-Time Scheduling Open Problems Seminar, 2012 2012 - Publication

Cong Liu and James Anderson. Supporting Soft Real-Time DAG-based Systems on Multiprocessors with No Utilization Loss, Proceedings of the 31st IEEE Real-Time Systems Symposium, pp. 3-13, December 2010. 2010 - Publication

Cong Liu and James Anderson. Scheduling Suspendable, Pipelined Tasks with Non-Preemptive Sections in Soft Real-Time Multiprocessor Systems, Proceedings of the 16th IEEE Real-Time and Embedded Technology and Applications Symposium , pp. 23-32, April 2010. 2010 - Publication

Cong Liu and James Anderson. Task Scheduling with Self-Suspensions in Soft Real-Time Multiprocessor Systems, Proceedings of the 30th IEEE Real-Time Systems Symposium, pp.425-436, December 2009. 2009 - Publication

Assistant Professor
The University of Texas at Dallas [2012–Present]

Research Assistant
The University of North Carolina at Chapel Hill [2008–2013]

Research Assistant
Auburn University [2005–2007]

Professional Activities

TPC Member, IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS), 2014   Reviwer (Journal), Journal of Parallel and Distributed Computing, Real-Time Systems Journal, IEEE Transactions on Computers, IEEE Transactions on Parallel and Distributed Systems, IEEE Transactions on Communications, Journal of Systems Architecture, Elsevier Future Generation Computer Systems   Reviwer (Conference), ACM/IEEE DAC'13, IEEE EMSOFT'12, IEEE RTCSA'12, IEEE ECRTS'12, IEEE RTAS'12, IEEE RTSS'11, IEEE RTCSA'11, IEEE ECRTS'11, IEEE RTAS'11, IEEE RTSS'10, IEEE RTAS'10, IEEE RTCSA'10, IEEE ECRTS'10, IEEE ICDCS'09, IEEE RTAS'10, IEEE RTSS'09, IEEE RTCSA'09, IEEE ECRTS'09   UNC computer science faculty teaching evaluation committee member, UNC Chapel Hill, Fall 2010   UNC Systems Tea ``CZar'', UNC Chapel Hill, Fall 2009   UNC Real-Time Lunch ``CZar'', UNC Chapel Hill, Fall 2010   UNC Real-Time Lunch ``CZar'', UNC Chapel Hill, Fall 2009

Scientists Work to Reshape Driving, Data with CAREER Awards

A professor at The University of Texas at Dallas hopes within the next 10 years, you’ll be driving an autonomous car that his research helped make possible.
Dr. Cong Liu, assistant professor of computer science in the Erik Jonsson School of Engineering and Computer Science, is producing algorithmic and system solutions that process massive amounts of data in real time. This allows designers across several industries to develop GPU-accelerated embedded cyber-physical systems — intelligent engineering systems that interact with the physical environment and make autonomous control decisions such as autonomous vehicles and robotics.

Dr. Cong Liu Receives NSF CAREER Award to Further His Research in Autonomous Driving

Via UT Dallas News Center | Melissa Cutler – A professor at The University of Texas at Dallas hopes within the next 10 years, you’ll be driving an autonomous car that his research helped make possible.

Dr. Cong Liu, assistant professor of computer science in the Erik Jonsson School of Engineering and Computer Science, is producing algorithmic and system solutions that process massive amounts of data in real time. This allows designers across several industries to develop GPU-accelerated embedded cyber-physical systems — intelligent engineering systems that interact with the physical environment and make autonomous control decisions such as autonomous vehicles and robotics.