Computer Science and Engineering
University of South Carolina, USA
Dr. Linwei Niu is an Assistant Professor in the Department of Electrical Engineering and Computer Science, Howard University. He received his Ph.D. degree in Computer Science and Engineering from the University of South Carolina in December 2006, his M.S. degree in Computer Science from State University of New York at Stony Brook in December 2001, and his B.S. degree in Computer Science and Technology from Peking University, Beijing, China in July 1998. Before joining Howard University, he worked as a faculty member at Claflin University, California State University Bakersfield, and West Virginia State University. Dr. Niu’s research interests include real-time embedded systems, design automation, energy-efficient computing, low power design, software/hardware co-design, cyber-physical systems, ubiquitous and pervasive computing, and parallel and distributed systems.New! I am looking for self-motivated Ph.D., Master, and undergraduate students. If you are interested in my research and working with me, please send me your CV.
University of South Carolina, USA
Real-Time Embedded Systems, Cyber-Physical Systems, Internet of ThingsLow Power Design, Energy-Efficient Computing, Fault-Tolerant ComputingEmbedded Software, Software/Hardware Co-DesignSustainable Computing, Ubiquitous and Pervasive Computing, Parallel and Distributed Systems
National Science Foundation
Selected Recent Publications:Linwei Niu, Dakai Zhu, "Fixed-Priority Scheduling for Reliable and Energy-Aware (m,k)-Deadlines Enforcement with Standby-Sparing", accepted by IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (to appear).Linwei Niu, "Fault-Tolerant Energy Management for Real-Time Systems with Weakly Hard QoS Assurance", accepted by IEEE International Conference on Computer Communications (INFOCOM'21), May 10-13, 2021.Linwei Niu, Danda B. Rawat, “Energy-Constrained Standby-Sparing for Weakly Hard Real-Time Systems”, 41st IEEE International Real-Time Systems Symposium (RTSS’20), Houston, Texas, U.S.A., Dec 1-4, 2020.Linwei Niu, Dakai Zhu, “Reliable and Energy-Aware Fixed-Priority (m, k)-Deadlines Enforcement with Standby-Sparing”, IEEE/ACM Design, Automation & Test in Europe Conference (DATE’20) (long presentation paper), Grenoble, France, March 9-13, 2020.Linwei Niu, “Reliability-Aware Energy-Efficient Scheduling for (m, k)-Constrained Real-Time Embedded Systems”, Microprocessors and Microsystems (Elsevier), Volume 77, pages 103110, September, 2020.Linwei Niu, Qiushi Han, Tianyi Wang, Gang Quan, “Reliability-Aware Energy Management for Embedded Real-Time Systems with (m,k)-Hard Timing Constraint”, Journal of Signal Processing Systems (Springer), Volume 90, Issue 4, pages 515-536, April, 2018.Linwei Niu, Dakai Zhu, “Reliability-aware scheduling for reducing system-wide energy consumption for weakly hard real-time systems”, Journal of Systems Architecture (Elsevier), Volume 78, pages 30-54, June, 2017.Linwei Niu, Wei Li, “Energy-Efficient Scheduling for Embedded Real-Time Systems Using Threshold Work-Demand Analysis”, Journal of Circuits, Systems, and Computers (World Scientific) Volume 26, No. 6, 2017.Linwei Niu, Wei Li, “Reliability-Conscious Energy Management for Fixed-Priority Real-Time Embedded Systems with Weakly Hard QoS-Constraint”, Microprocessors and Microsystems (Elsevier), Volume 46, Issue PB, pages 107-121, 2016.Linwei Niu, Jia Xu, “Improving Schedulability and Energy Efficiency for Window-Constrained Real-Time Systems with Reliability Requirement”, Journal of Systems Architecture (Elsevier), Volume 61, Issue 5-6, pages 210-226, May-June, 2015.Linwei Niu, Gang Quan, “Peripheral-conscious energy-efficient scheduling for weakly hard real-time systems”, International Journal of Embedded Systems (Inderscience), Volume 7, No. 1, page 11-25, 2015.Qiushi Han, Linwei Niu, Gang Quan, Shaolei Ren, Shangping Ren, “Energy Efficient Fault-Tolerant Earliest Deadline First Scheduling for Hard Real-Time Systems”, Real-Time Systems：the International Journal of Time-Critical Computing Systems, Volume 50 Issue 5-6, pages 592-619, November, 2014.