General Areas in Very Large Scale Integrated (VLSI) Circuits and Systems, High Performance Computing, Computer Aided Design (CAD), Artificial Intelligence, and Emerging Nano-device. The specific areas of interests include but are not limited to the following:
- Neuromorphic Electronic Circuits Design and Automation for Brain-Inspired Computing System
- Energy Efficient Three Dimensional Integrated Circuits Design and Analysis
- Artificial Intelligence, Machine Learning, and Cognitive Computing in Wireless Communications and Cybersecurity
- Integrated Circuit/Transceiver Design in Wireless/Cellular Networks, Ehealth Systems, and Internet of Things
- Hardware Reliability and Variability Analysis in High Performance Computing Systems
- Interconnect Modeling and Simulation, Signal Integrity and Power Integrity
Yang (Cindy) Yi is an Associate Professor in the Bradley Department of Electrical and Computer Engineering (ECE) at Virginia Tech (VT). Prior to joining VT, she has been working on various research topics in the area of Integrated Circuits and Systems (ICS) at Texas A&M University (TAMU), University of Kansas (KU), University of Missour - Kansas City, Freescale, IBM, Intel, and Texas Instruments (TI). She obtained her Ph.D. in Electrical and Computer Engineering at Texas A&M University, the M.S. and B.S. in Electrical Engineering at Shanghai Jiao Tong University. Yang (Cindy) Yi has more than 100 publications in international journals and conference proceedings. 8 of her papers have been selected as Best Paper Award at IEEE Wireless and Optical Communication Conference 2020, IEEE Technical Committee on Green Communications & Computing Committee (TCGCC) in IEEE Global Communications Conference (GLOBECOM) in 2018, IEEE International Symposium on Quality Electronic Design (ISQED) and IEEE Transmission, Access, and Optical Systems Technical Committee (TAOS) in International Conference on Communications (ICC) in 2018, IEEE GLOBECOM in 2016, IEEE VLSI-DAT in 2011, and IEEE EPEP in 2006.
Yang (Cindy) Yi has been invited to serve as Technical Program Committee (TPC) co-Chair in IEEE ISQED and TPC trach chair for various conferences, an editorial board member for several international journals, and TPC member for various international conferences including DAC, ICCAD, EMC, VTC, ISQED, 3DIC, ICC, INFOCOM, GLOBECOM, ASQED, ICNC, WINCOM, WCI, WCSP, ICCVE, Ph.D. Forum in DAC, ACM SRC in ICCAD, and etc. She received the VT College of Engineering Faculty Fellow and ICTAS Junior Faculty Award (JFA) in 2019, NSF CAREER Award in 2018, United States Air Force (USAF) Summer Faculty Fellowship , and Miller Professional Development Award for Distinguished Research in 2016, National Science Foundation (NSF) EPSCoR First Award, USAF Summer Faculty Fellowship, KU Miller Scholar Award, KU New Faculty General Research Award in 2015, Air Force Research Lab (AFRL) Visiting Faculty Research Fellowship, University Academic Program Faculty Scholar, University Outstanding Service Award, and Texas Instruments (TI) University Program Equipment Award in 2014.
Yang (Cindy) Yi's research has been funded by NSF, Department of Defense (DoD), National Spectrum Consortium (NSC), United States Department of Agriculture (USDA), NSF EPSCoR, AFRL, Air Force Office of Scientific Research (AFSOR) and several industrial companies (Samsung, Intel, TI, and NVidia).
Available positions: Positions are available in
Spring 2022 for postdocs, Ph.D./M.S. students and visiting scholars, who are interested in conducting research on the topic of IC design, neuromorphic computing, computer architecture, neural network, and machine learning.
May 2021 Kangjun Bai successfully defended his Ph.D. titled "Moving Toward Intelligence: A Hybrid Neural Computing Architecture for Machine Intelligence Applications". Congratulations Dr. Bai! Kangjun will join US AFRL/RI as a researcher in neuromorphic computing!
May 2021 Jiayuan Zhang successfully defended his MS titled "Two-Stage Operational Amplifier Design by Using Direct and Indirect Feedback Compensations". Congratulations Jiayuan!
May 2021 Moqi Zhang successfully defended her MS titled "A Comparison of Image Classification with Different Activation Functions in Balanced and Unbalanced Datasets". Congratulations Moqi!
April 2021 Our group members, Yibin (Donald) Liang and Osaze Shears will start their research intern positions in Samsung Research America (Mountain View, CA Office). Wish them a nice and productive summer of 2021.
April 2021 Our Paper, Spatial-Temporal Hybrid Neural Network With Computing-in-Memory Architecture has been published in IEEE Transactions on Circuits and Systems (TCAS) I: Regular Papers. Congratulations Kangjun!
April 2021 Hongyu An's Ph.D. dissertation titled, "Powering Next-Generation Artificial Intelligence by Designing Three-dimensional High-Performance Neuromorphic Computing System with Memristors." received the Bill and LaRue Blackwell Thesis award. Congratulations Hongyu!
Dec. 2020 Our paper, Energy Efficient MIMO-OFDM Spectrum Sensing Using Deep Stacked Spiking Delayed Feedback Reservoir Computing, has been published in IEEE Trans. Green Commun. and Netw. (TGCN). Congratulations Kian!
Nov. 2020 Our paper, A Cost-Efficient Digital ESN Architecture on FPGA for OFDM Symbol Detection, has been accepted to ACM Journal on Emerging Technologies in Computing Systems (JETC). Congratulations Donald!
Nov. 2020 Our project "Enabled Smart Farms through Secure and Intelligent Wireless Sensors" has been awarded by Commonwealth Cyber Initiative (CCI) under Southwest Virginia Research, Innovation, & Workforce Development Program. Dr. Yang Yi is serving as the Co-PI of this project and Dr. Hwajung (Joan) Lee from Radford University is serving as the PI of the project.
Nov. 2020 Our paper, Robust Deep Reservoir Computing through Reliable Memristor with Improved Heat Dissipation Capability, has been published in IEEE Transactions on Computer-Aid Design of Integrated Circuits and Systems (TCAD). Congratulations, Hongyu.
Aug. 2020 Our paper, Three-dimensional Neuromorphic Computing System with Two-layer and Low-variation Memristive Synapses, has been published in IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD). Congratulations, Hongyu.
Aug. 2020 Hongyu An successfully defended his Ph.D. and he will join Michigan Technological University as an Assistant Professor of ECE. Congratulations! Hongyu.
Aug. 2020 Donald and Kangjun have been selected to receive the prestigious Qualcomm Innovation Fellowship (QIF) with a grant of $100K. Congratulations Donald and Kangjun!