Wang, Lei

Lei Wang

Associate Professor, Electrical and Computer Engineering

Email lei.3.wang@uconn.edu
Phone (860) 486-3066
Mailing Address Electrical and Computer Engineering 371 Fairfield Way
U-4157 Storrs, Connecticut 06269-4157
Campus Storrs
Link Affiliation Website
Google Scholar Link

Brief Bio

Dr. Lei Wang received the B.S. degree and the M.S. degree from Tsinghua University, China, in 1992 and 1996, respectively, and the Ph.D. degree from the University of Illinois at Urbana-Champaign in 2001.

During the summer of 1999, Dr. Wang worked at Microprocessor Research Laboratories, Intel Corporation, in Hillsboro, OR, where his work involved development of high-speed and noise-tolerant VLSI circuits and design methodologies. From December 2001 to July 2004, he was with Microprocessor Technology Laboratories, Hewlett-Packard Company, in Fort Collins, CO, where he participated in the design of the first dual-core multi-threaded Itanium® Architecture Processor, a joint project between Intel and Hewlett-Packard. Since August 2004, he has been with the Department of Electrical and Computer Engineering, University of Connecticut.

Dr. Wang is a recipient of the National Science Foundation CAREER Award. He was a member of IEEE Signal Processing Society Technical Committee on Design and Implementation of Signal Processing Systems. He has been serving as a Senior Area Editor for the IEEE Signal Processing Letters since 2014, and on the Steering Committee of the IEEE Transactions on Multi-Scale Computing Systems. He served as an Associate Editor for the IEEE Transactions on Computers from 2010 to 2014, and an Associate Editor for the IEEE Signal Processing Letters from 2012 to 2014. He also served as a Guest Editor for the IEEE Transactions on Emerging Topics in Computing and a Guest Editor for the Springer Journal of Signal Processing Systems. Dr. Wang is a Senior Member of IEEE.

  • Self-sustained cyber-physical systems
  • Embedded signal processing/computing with renewable energy
  • Performance limits and optimization for nano/molecular systems
  • VLSI circuits and systems for low power, high performance, variation tolerance, and hardware security
  • ECE 2001W, Electrical Circuits
  • ECE 3421, VLSI Design and Simulation
  • ECE 3431, Numerical Methods in Scientific Computation
  • ECE 4401, Digital Design Laboratory
  • ECE 6421, Advanced VLSI Design
  • ECE 6095, Introduction to Nano/Molecular Computing
  • Y. Fan, F. Qian, Y. Huang, I. Sifat, C. Zhang, A. Depasquale, L. Wang. and B. Li, "Miniature microbial fuel cells integrated with triggered power management systems to power wastewater sensors in an uninterrupted mode," Applied Energy (Impact Factor: 9.7), vol. 302, November 2021.
  • W. Huang and L. Wang, "Low-power non-binary LDPC decoder design via adaptive message length control exploiting domain-specific information," Springer Journal of Signal Processing Systems, vol. 93, pp. 11-23, January 2021.
  • F. Qian, Y. Gong, and L. Wang, "A memristor-based compressive sampling encoder with dynamic rate control for low-power video streaming," ACM Journal on Emerging Technologies in Computing Systems, vol. 16, January 2020.
  • Y. Gong, F. Qian, and L. Wang, "Design for test and hardware security utilizing retention loss of memristors," IEEE Transactions on VLSI Systems, vol. 27, pp. 2536-2547, November 2019.
  • S. Chen, and L. Wang, "Transformable electronics implantation in ROM for anti-reverse engineerings," International Journal of High Speed Electronics and Systems, vol. 28, September 2019.
  • Y. Gong, F. Qian, and L. Wang, "Masked FPGA bitstream encryption via partial reconfiguration," International Journal of High Speed Electronics and Systems, vol. 28, September 2019.
  • W. Huang and L. Wang, "Design of low-power non-binary LDPC decoder exploiting DRAM refresh rate over-scaling," IEEE Transactions on Circuits and Systems II, vol. 66, pp. 1391-1395, August 2019.
  • Y. Gong, F. Qian, and L. Wang, "Probabilistic evaluation of hardware security vulnerabilities," ACM Transactions on Design Automation of Electronic Systems, vol. 24, January 2019.
  • R. Umaz and L. Wang, "Integrated power converter design for bioturbation resilience in multi-anode microbial fuel cells," IET Circuits, Devices & Systems, vol. 13, pp. 1142-1151, 2019.
  • F. Qian, Y. Gong, G. Huang, M. Anwar, and L. Wang, "Exploiting memristors for compressive sampling of sensory signals," IEEE Transactions on VLSI Systems, vol. 26, pp. 2737-2748, December 2018.
  • S. Chen, J. Chen, and L. Wang, "A chip-level anti-reverse engineering technique," ACM Journal on Emerging Technologies in Computing System, vol. 14, July 2018.
  • W. Huang and L. Wang, "Design of GNSS receivers powered by renewable energy via adaptive tracking channel control," Springer Journal of Signal Processing Systems, vol. 90, pp. 395–407, March 2018.
  • R. Umaz and L. Wang, "Design of an inductorless power vonverter with maximizing power extraction for energy harvesting," International Journal of High Speed Electronics and Systems, vol. 27, March 2018.
  • J. Chen, D. Zhao, and L. Wang, "Self-sustained UWB sensing: a link and energy adaptive approach," Springer Journal of Signal Processing Systems, vol. 88, pp. 233–243, August 2017.
  • G. Huang and L. Wang, "An FPGA-based architecture for high-speed compressed signal reconstruction," ACM Transactions on Embedded Computing Systems, vol. 16, May 2017.
  • Z. Xu, Y. Liu, I. Williams, Y. Li, F. Qian, L. Wang, Y. Lei, and B. Li, "Flat enzyme-based lactate biofuel cell integrated with power management system: Towards long term in situ power supply for wearable sensors," Applied Energy (Impact Factor: 9.7), vol. 194, pp. 71-80, May 2017.
  • R. Umaz, C. Garrett, F. Qian, B. Li, and L. Wang, "A power management system for multianode benthic microbial fuel cells," IEEE Transactions on Power Electronics, vol. 32, pp. 3562-3570, May 2017.
  • M. Guan and L. Wang, "Improving DRAM performance in 3D ICs via temperature aware refresh," IEEE Transactions on VLSI Systems, vol. 25, pp. 833-843, March 2017.
  • Z. Xu, Y. Liu, I. Williams, Y. Li, F. Qian, H. Zhang, D. Cai, L. Wang, and B. Li, "Disposable self-support paper-based multi-anode microbial fuel cell (PMMFC) integrated with power management system (PMS) as the real time “shock” biosensor for wastewater," Biosensors and Bioelectronics (Impact Factor: 6.4), vol. 85, pp. 232-239, November 2016.
  • S. Quadir, J. Chen, D. Forte, N. Asadizanjani, S. Shahbazmohamadi, L. Wang, J. Chandy, and M. Tehranipoor, "A survey on chip to system reverse engineering," ACM Journal on Emerging Technologies in Computing Systems, vol. 13, June 2016.
  • J. Chen and L. Wang, "Energy-adaptive signal processing under renewable energy," Springer Journal of Signal Processing Systems, vol. 84, pp. 399-412, November 2015.
  • B. Liu, I. Williams, Y. Li, L. Wang, A. Bagtzoglou, J. McCutcheon, and B. Li, "Towards high power output of scaled-up benthic microbial fuel cells (BMFCs) using multiple electron collectors," Biosensors and Bioelectronics (Impact Factor: 6.4), vol. 79, pp. 435-441, December 2015.
  • G. Huang and L. Wang, "High-speed signal reconstruction for compressive sensing applications," Springer Journal of Signal Processing Systems, vol. 81, pp. 333–344, December 2015.
  • J. Chen, J. Cui, and L. Wang, "RF power management via energy-adaptive modulation for self-powered systems," IEEE Transactions on VLSI Systems, vol 23, pp. 1931-1935, September 2015.
  • B. Liu, A. Weinstein, M. Kolln, C. Garrett, L. Wang, A. Bagtzoglou, U. Karra, Y. Li, and B. Li, "Distributed multi-anodes benthic microbial fuel cell as reliable power source for subsea sensors," Journal of Power Sources (Impact Factor: 6.2), vol. 286, pp. 210-216, July 2015.
  • D. Zhao, J. Chen, and L. Wang, "Energy-adaptive pulse amplitude modulation for IR-UWB communications under renewable energy," Springer Journal of Signal Processing Systems, vol. 76, pp. 121–132, August 2014
  • U. Karra, E. Muto, R. Umaz, M. Kolln, C. Santoro, L. Wang, and B. Li, "Performance evaluation of activated carbon-based electrodes and novel power management system for long-term Benthic Microbial Fuel Cells," International Journal of Hydrogen Energy (Impact Factor: 3.3), July 2014.
  • G. Huang, R. Umaz, U. Karra, L. Wang, and B. Li, "A power management integrated system for biomass-based marine sediment energy harvesting," International Journal of High Speed Electronics and Systems, vol. 23, March 2014.
  • J. Dai, M. Guan, and L. Wang, "Exploiting early tag access for reducing L1 data cache energy in embedded processors," IEEE Transactions on VLSI Systems, vol. 22, pp. 396-407, February 2014.
  • U. Karra, G. Huang, R. Umaz, C. Tenaglier, L. Wang, and B. Li, "Stability characterization and modeling of robust distributed Benthic Microbial Fuel Cell (DBMFC) system," Elsevier Bioresource Technology (Impact Factor: 4.5), vol. 144, pp. 477-484, September 2013.
  • J. Dai and L. Wang, "An energy-efficient L2 cache architecture using way tag information under write-through policy," IEEE Transactions on VLSI Systems, vol. 21, pp. 102-112, January 2013.
  • S. Wang, J. Dai, and L. Wang, "Hybrid redundancy for defect tolerance in molecular crossbar memory," ACM Journal on Emerging Technologies in Computing Systems, vol. 9, February 2013.
  • W. Tang, J. Huang, L. Wang, and S. Zhou, "A nonbinary LDPC decoder architecture with adaptive message control," IEEE Transactions on VLSI Systems, vol. 20, pp. 2118-2122, November 2012.
  • J. Dai, L. Wang, and F. Lombardi, "An information-theoretic analysis of quantum-dot cellular automata for defect tolerance," ACM Journal on Emerging Technologies in Computing Systems, vol. 6, August 2010.
  • S. Wang and L. Wang, "Exploiting memory soft redundancy for joint improvement of error tolerance and access efficiency," IEEE Transactions on VLSI Systems, vol. 17, pp. 973-982, August 2009.
  • W. Tang, L. Wang, and F. Lombardi, "A defect/error-tolerant nanosystem architecture for DSP," ACM Journal on Emerging Technologies in Computing Systems, vol. 5, November 2009.
  • S. Wang, J. Dai, E. Hasaneen, L. Wang, and F. Jain, "Utilizing quantum dot transistors with programmable threshold voltages for low-power mobile computing," ACM Journal on Emerging Technologies in Computing Systems, vol. 5, August 2009.
  • S. Wang and L. Wang, "Analysis of deskew signaling via adaptive timing," IEEE Transactions on CAD, vol. 28, pp. 601-605, April 2009.
  • J. Dai, L. Wang, and F. Jain, "Analysis of defect tolerance in molecular crossbar electronics," IEEE Transactions on VLSI Systems, vol. 17, pp. 529-540, April 2009.
  • S. Wang, L. Wang, and F. Jain, "Towards achieving reliable and high-performance nanocomputing via dynamic redundancy allocation," ACM Journal on Emerging Technologies in Computing Systems, vol. 5, January 2009.
  • L. Wang and N. Patel, "Improving error tolerance for multithreaded register files," IEEE Transactions on VLSI Systems, vol. 16, pp. 1009-1020, August 2008.
  • L. Wang and N. Patel, "Low-complexity analysis of repetitive regularities for biometric applications," Journal of Computers, vol. 2, pp. 56-64, August 2007.
  • L. Wang and N. R. Shanbhag, "Low-power MIMO signal processing," IEEE Transactions on VLSI Systems, vol. 11, pp. 434-445, June 2003.
  • L. Wang and N. R. Shanbhag, "Energy-efficiency bounds for deep submicron VLSI systems in the presence of noise," IEEE Transactions on VLSI Systems, vol. 11, pp. 254-269, April 2003.
  • L. Wang and N. R. Shanbhag, "Low-power filtering via adaptive error-cancellation," IEEE Transactions on Signal Processing, vol. 51, pp. 575-583, February 2003.
  • L. Wang and N. R. Shanbhag, "An energy-efficient, noise-tolerant dynamic circuit technique," IEEE Transactions on Circuits and Systems, vol. 47, pp. 1300-1306, November 2000.