Yang (Cindy) Yi, Ph.D.

Associate Professor, College of Engineering Faculty Fellow
Associate Director, Multifunctional Integrated Circuits & Systems Center (MICS)
Bradley Department of Electrical and Computer Engineering
College of Engineering, Virginia Tech
Office: 361 Durham Hall
Mailing: 1185 Perry Street, 453 Whittemore Hall (0111)
Blacksburg, VA 24061
Phone: 540-231-7561
Fax: 540-231-3362
Email: cindy_yangyi@vt.edu

Research Interests

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

Short Bio

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 paper have been selected as Best Paper Award at 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, Best Paper Award Finalist at ACM GLSVLSI in 2017, IEEE ISQED in 2017, IEEE VLSI-DAT in 2011, and IEEE EPEP in 2006.

Yang (Cindy) Yi has been invited to serve as Technical Program Committee (TPC) track chair in IEEE ISQED and MWSCAS, an editorial board member for several international journals including Elsevier NCN, IJCNE, EJAET, and JSAM, a guest editor for special issues in IET CPS and Elsevier NCN, 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). Her research efforts have been supported in part by over $16 Million (with $3 Million personal share) research funding.

What's New?

Available positions: Positions are available in Spring 2020 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.

Sept. 2019 Our project on Deep Reservoir Computing has been awarded by the National Science Foundation (NSF) Real Time Machine Learning (RTML) Progran under grant NSF/CCF-1937487. Dr. Yang Yi is serving as the PI of the project. Thanks NSF!
Aug. 2019 Our project on Spike-Timing Neuromorphic Computing for Animal Welfare Improvement received grants from United States Department of Agriculture (USDA) . Dr. Yang Yi is serving as the co-PI of the project. Thanks USDA!
Aug. 2019 Our paper titled "A Training-Efficient Hybrid-Structured Deep Neural Network With Reconfigurable Memristive Synapses" has been accepted by IEEE Transactions on Very Large Scale Integration (VLSI) Systems. Congratulations! Kangjun, Qiyuan.
Aug. 2019 Our paper titled "Energy Efficient Temporal Spatial Information Processing Circuits Based on STDP and Spike Iteration" has been accepted by IEEE Transactions on Circuits and Systems (TCAS)--II: Express Briefs. Congratulations! Chenyuan, Kangjun, Qiyuan.
Aug. 2019 Our paper titled "Artificial Intelligence Enabled Internet of Things: Network Architecture and Spectrum Access" has been accepted by IEEE Computational Intelligence Magazine (CIM). Congratulations! Hao, Jianan.
Aug. 2019 Our book chapter titled "novel applications of deep reservoir computing in cyber-security and wireless communication" has been accepted and will be included in the book "Intelligent System and Computing". Congratulations! Kian.
Aug. 2019 Mr. Yibin (Donald) Liang joined our group as a Ph.D. student. Mr. Jiayuan Zhang, Ms. Moqi Zhang, and Ms. Fabiha Nowshin joined our group as M.S. students. Welcome on board!
Aug. 2019 Dr. Chenyuan Zhao successfully defended his Ph.D. Dissertation. He will join Penn State School of Electrical Engineering and Computer Science as a Post-doc. Congratulations!
Jul. 2019 Our paper titled "Realizing Behavior Level Associative Memory Learning Through Three-Dimensional Memristor-Based Neuromorphic Circuits" is published in IEEE Transactions on Emerging Topics in Computational Intelligence. Congratulations! Hongyu, Qiyuan.
Jul. 2019 Hongyu presented our paper titled "Design and Analysis of Real Time Spiking Neural Network Decoder for Neuromorphic Chips" in ACM International Conference on Neuromorphic Systems (ICONS).
Jun. 2019: Kangjun presented our paper titled "Deep-DFR: A Memristive Deep Delayed Feedback Reservoir Computing System with Hybrid Neural Network Topology" on IEEE/ACM Design Automation Conference (DAC).
May. 2019 Dr. Yang Yi received the VT College of Engineering Faculty Fellow.
Feb. 2019 Dr. Yang Yi received the ICTAS Junior Faculty Award (JFA) for our research on Resilient and Secured High Performance Computing.
Feb. 2019 Our paper titled "Distributive Dynamic Spectrum Access Through Deep Reinforcement Learning: A Reservoir Computing-Based Approach" is published in IEEE Internet of Things Journal (IoT). Congratulations! Hao-Hsuan, Hao.
Jan. 2019 Mr. Shiya Liu joined our group as a Ph.D. student. Mr. Victor Gan joined our group as M.S. students. Welcome on board!
Dec. 2018 Our paper titled "Realizing Green Symbol Detection Via Reservoir Computing: An Energy-Efficiency Perspective" received IEEE Technical Committee on Green Communications & Computing Committee (TCGCC) Best Paper Award in IEEE Global Communications Conference (GLOBECOM).
Dec. 2018 Our paper titled "DFR: An Energy-efficient Analog Delay Feedback Reservoir Computing System for Brain-inspired Computing" is published in ACM Journal on Emerging Technologies in Computing Systems (JETC).
Jun. 2018: Kangjun presented our paper titled "Enabling An New Era of Brain-inspired Computing: Energy-efficient Spiking Neural Network with Ring Topology" on IEEE/ACM Design Automation Conference (DAC).
Jun. 2018 Mr. Qiyuan An joined our group as a Ph.D. student. Welcome on board!
Mar. 2018 Our project about analog Neuromorphic IC design and analysis received funding from Department of Defense (DOD) - Air Force Research Lab (AFRL) "Emerging Computing Architectures and Applications" program . Thanks AFRL!
Mar. 2018 Dr. Yang Yi received the NSF CAREER Award for her work on 3D Neuromorphic Computing. Newletter in VT daily news: LINK. Thanks NSF!
Feb. 2018 Our Research about "Using artificial intelligence to hunt for slow zones in overcrowded networks" has been highlighted at WInnForum News & Opportunities Daily Digest. LINK.
Feb. 2018 Our paper titled "A Physical Layer Security Scheme for Mobile Health Cyber-Physical Systems" has been published in IEEE Internet of Things Journal (IoT). Congratulations Rachad.
Feb 2018 Two of our paper have been published in IEEE International Symposium on Quality Electronic Design (ISQED). One paper titled "A Deep Learning Based Approach for Analog Hardware Implementation of Delayed Feedback Reservoir Computing System" has received the Best Paper Award in ISQED 2018. Congratulations Jialing and Kangjun.
Feb. 2018 Our paper titled "Enabling a New Era of Brain-inspired Computing: Energy Efficient Analog Delayed Feedback Reservoir Computing System Design" has been published in IEEE/ACM Design Automation Conference (DAC). Congratulations Kangjun, Jialing, and Kian.
Feb. 2018 Virginia Tech Daily News features our research. LINK.
Feb. 2018 Our paper about "Green Massive Traffic Offloading for CPS" has been published in ACM/springer Journal of Mobile Networks and Applications. Congratulations Rachad.
Feb. 2018 Our paper on Reservoir Computing received IEEE Transmission, Access, and Optical Systems Technical Committee (TAOS) Best Paper Award in International Conference on Communications (ICC).
Jan. 2018 Our project about "Exploring the Application of Energy Efficient Neuromorphic Computing to Wireless and Multimedia" received research funding from Samsung Research America.
Oct. 2017: Our paper on "TSV Based Neuromorphic 3D IC Design" has been published by IEEE Transaction on Computer-Aided Design of Integrated Circuits and Systems (TCAD) . Congratulations Amimul and Hongyu!
Oct. 2017: Our paper on "Application of Reservoir Computing to Wireless Communications" has been accepted by IEEE Transactions on Neural Networks and Learning Systems (TNNLS) . Congratulations Susanna!
Oct. 2017: Our collabrative project on "Deep Recurrent Neural Networks Hardware Implementation for Energy-Efficient Computing and Applications" has been funded by National Spectrum Consortium (NSC).
Oct. 2017: Our paper on "Analog Spike-timing-dependent Resistive Crossbar Design" has been accepted by IEEE Journal on Emerging and Selected Topics in Circuits and Systems (JETCAS). Congratulations Chenyuan, Kian, and Jialing!
Oct. 2017: Our paper on "Reservoir Computing's Emerging Applications to Smart Grid" has been accepted by IEEE Transactions on Industrial Informatics (TII). Congratulations Kian!
Oct. 2017: Our paper on "Monolithic 3D Neuromorphic Computing System" has been accepted by Integration, the VLSI Journal - Elsevier. Congratulations Hongyu and Amimul!
Sept. 2017: Our collabrative project on "Energy-Efficient Dynamic Spectrum Access using Neuromorphic Computing" has been funded byNational Science Foundation (NSF) SpecEES program.
Thanks NSF! Aug. 2017: Dr. Amimul Ehsan graduated and joined Intel. Congratulations! Amimul.
Feb. 2017: Our paper on "Neural Encoder" has been accepted by IEEE Transactions on Very Large Scale Integration (VLSI) Systems. Congratulations Chenyuan and Jialing!
Feb. 2017: Our paper on "3D Brain-inspired Computing System" has been accepted by IEEE/ACM Design Automation Conference (DAC). Congratulations Amimul and Hongyu!
Feb. 2017: Two of our paper on "Ion Transportation and Membrane Activities Modeling" and "Nanoscale 3D Neuromorphic Computing " have been accepted by IEEE International Conference on Electromagentic Compatibility (EMC), which is the flagship conference in the IEEE Electromagentic Compatibility (EMC) Society. Congratulations Amimul and Hongyu!
Feb. 2017: Two of our paper on "Data Compression in Spiking Neuromorphic Systems" and "Deep Recurrent Neural Network" have been accepted by IEEE/ACM Design Automation Conference (DAC) Work-in-Progress Session. Congratulations Chenyuan and Jialing!
Feb. 2017: Our paper on "Mobile Health CPS Design" has been accepted by IEEE Internet of Things (IoT) Journal. Congratulations Rachad!
Feb. 2017: Our paper on “Analog IC Design for Reservoir Computing System” has been accepted by IEEE International Joint Conference on Neural Networks (IJCNN) . Congratulations Jialing, Chenyuan, and Kian!
Feb. 2017: Our paper on “Neuromorphic 3D Integrated CircuitÔ has been accepted by ACM Great Lakes Symposium on VLSI (GLSVLSI). Congratulations Amimul!
Jan. 2017: Our group receives funding support from Alion Science and Technology on high performance computing for Cloud Radio Access Networks (C-RAN).
Jan. 2017: Dr. Yi is invited to serve as one of the Editorial Board Members in Elsevier Nano Communication Networks, Session Chair of IEEE Intl. Midwest Symposium on Circuits and Systems (MWSCAS) Neuromorphic System Session, one of the TPC Members of Design Automation Conference (DAC) Ph.D. Forum.
Dec. 2016: Our paper about “circuit and system level design and optimization for energy harvesting wireless communications” is selected as Best Paper Award in IEEE Global Communications Conference (GLOBECOM). IEEE GLOBECOM is one of the two flagship conferences of the IEEE Communications Society. Each year the conference attracts about 3000 submitted scientific papers and dozens of proposals for industry events.
Nov. 2016: Dr. Yi gives a talk on “analog temporal encoder for brain-inspired computing systems” in IEEE/ACM International Conference on Computer Aided Design (ICCAD).
Nov. 2016: Our paper on “3D Synaptic Array using Vertical RRAM Structure” and "Analog Spiking Temporal Encoder" have been accepted by IEEE International Symposium on Quality Electronic Design (ISQED).
Oct. 2016: Our group receives funding support from Samsung Research America on congitive computing.
Oct. 2016: Our paper on “Energy Efficient Spiking Temporal Encoder Design for Neuromorphic Computing Systems” has been accepted by IEEE Transactions on Multi-Scale Computing Systems .
Oct. 2016: Our paper on “Mitigating the Impact of Hardware Variability for GPGPUs Register File” will be published in IEEE Transactions on Parallel and Distributed Systems in Nov. 2016.
Sept. 2016: Dr. Yi has been invited to write a paper about "Three Dimenional Neuromorphic Computing System and its Application to Cloud Robotics" to the Computers & Electrical Engineering an International Journal (Elsevier).
Aug. 2016: Our group successfully fabricated and tested our second generation analog neuromorphic chips using Global Foundries CMOS technology. Testing has been conducted in both Air Force Research Lab and KU's ITTC.
Jul. 2016: Our paper on “Electrical Modeling and Analysis of 3D Neuromorphic IC with Monolithic Inter-tier Vias” has been accepted by IEEE Conference on Electrical Performance of Electronic Packaging and Systems (EPEPS) .
Jul. 2016: Our paper on “Physical Layer Privacy Protection Scheme for Mobile Health Cyber-Physical Systems Coordinated Data Assignment: A novel scheme for Big Data Over Cached Cloud-RAN“ have been accepted by IEEE Global Communications Conference (GLOBECOM) .
Jun. 2016: Our paper on ”Making neural encoding robust and energy-efficient: an advanced analog temporal encoder for brain-inspired computing systems" has been accepted by IEEE/ACM International Conference on Computer Aided Design (ICCAD).
Jun. 2016: Dr. Yi received the Miller Professional Development Award for Distinguished Research, the only awardee selected across all tenure track and tenured faculty in the School of Engineering.
May 2016: Dr. Yi is selected as a 2016 U.S. Air Force Summer Faculty Fellow from Air Force Office of Scientific Research (AFSOR) for her research in neuromorphic computing and communications.
Mar. 2016: Our paper on "An Energy Efficient Decoding Scheme for nonlinear MIMO-OFDM Network using Reservoir Computing" has been accepted by IEEE International Joint Conference on Neural Networks (IJCNN).
Mar. 2016: Dr. Yi receives federal research funding support from the Air Force Research Lab (AFRL) to develop neuromorphic computing chips.
Feb. 2016: Our paper on "Novel Spiking Temporal Encoder for Brain-inspired Computing Systems" has been accepted by IEEE Design Automation Conference (DAC) Work-in-Progress Session.
Feb. 2016: Our paper on "Modeling and Optimization of TSV for Crosstalk Mitigation in 3D Neuromorphic System" has been accepted by 2016 IEEE International Symposium on Electromagnetic Compatibility (EMC).
Jan. 2016: Our paper on "FPGA based Spike Time Dependent Encoder and Reservoir Design in Neuromorphic Computing Processors" has been accepted by Journal of Microprocessors and Microsystems: Embedded Hardware Design (Elsevier).
Jan. 2016: Our paper on "Design Challenges and Methodologies in 3D Integration for Neuromorphic Computing Systems" has been accepted by 2016 IEEE International Symposium on Quality Electronic Design (ISQED).
Dec. 2015: Our group member, Mr. Amimul Ehsan, gives a talk about "Three Dimensional Integration Technology Applied to Neuromorphic Hardware Implementation" in the IEEE International Symposium on Nanoelectronic and Information System (INIS).
Nov. 2015: Dr. Yi's patent (9,208,832) on "Functional Screening of Static Random Access Memories Using an Array Bias Voltage" is granted by the United States Patent and Trademark Office (USPTO).
Oct. 2015: Dr. Yi received funding from Department of Defense (DOD) - Air Force Research Lab Information Institute for her research on Neuromorphic Computing System.
Sept. 2015: Our group member, Mrs. Sreelakshmi Penmetsa, graduated in summer 2015. She is working as a Senior Mixed Signal Design Engineer at NVidia Inc. now. Congratulations Sree!
Sept. 2015: Our paper on "Spike-Time-Dependent Encoding for Neuromorphic Processors" has been published in the ACM Journal on Emerging Technologies in Computing Systems (JETC). Congratulations Chenyuan! This work is an outcome of the collaboration with US Air Force Research Lab and Google Inc.
Sept. 2015: Dr. Yi received funding from Air Force Research Lab Information Institute for her research on dynamic reservoir design.
Aug. 2015: Our paper on "Resource Allocation for Delay-Sensitive Traffic over LTE-Advanced Relay Networks" has been published in the IEEE Transactions on Wireless Communications. This work is an outcome of the collaboration with Samsung Research America.
Aug. 2015: Our paper on "An Analytical Through Silicon Via (TSV) Surface Roughness Model Applied to a Millimeter Wave 3-D IC" has been published in the IEEE Transactions on Electromagnetic Capability (EMC). This work is an outcome of the collaboration with Intel Inc.
July 2015: Dr. Yi is elected as the Miller Scholar in recognition of her accomplishment and contribution to the School of Engineering.
July 2015: Dr. Yi received the New Faculty General Research Award from University of Kansas (KU) Research.
Jun. 2015: Our paper on "Low Power CMOS Power Amplifier Design for RFID and the Internet of Things" has been published in the Computers & Electrical Engineering an International Journal (Elsevier).
Jun. 2015: Our group successfully fabricated and tested the analog spiking time dependent encoder using Global Foundries CMOS 180nm technology. This is also the first nano-chip developed at KU.
Jun. 2015: Our group member, Mr. Amimul Ehsan, started his summer internship in Intel Inc. Congratulations Amimul! Amimul is working on developing a computationally efficient methodology to model the pogo pin socket electrical behavior. MORE
May 2015: Dr. Yi Selected as a 2015 U.S. Air Force Summer Faculty Fellow from Air Force Office of Scientific Research (AFSOR) for neuron design research. MORE
May 2015: Dr. Yi serves as one of the Conference Session Chairs on Neuromorphic Computational Models in IEEE conference on Computational Intelligence for Security and Defense Applications (CISDA).
April 2015: Our paper on "Analytical Modeling and Analysis of Through Silicon Vias (TSVs) in High Speed Three-Dimensional System Integration" has been published in the Progress in Electromagnetics Research (PIER) Journal. Congratulations Amimul! This work is an outcome of the collaboration with Intel Inc.
Mar. 2015: Dr. Yi received funding from Air Force Research Lab (AFRL) for neuromorphic computing research. MORE
Feb. 2015: Dr. Yi received National Science Foundation (NSF)  funding for energy efficient integrated circuit design research. MORE
Feb. 2015: Dr. Yi received National Science Foundation (NSF) EPSCoR funding for her resarch on three dimensional integrated circuit design green computing and renewable energy system. MORE
Jan. 2015: Our paper on "Development of an Equivalent Circuit Model of a Finite Ground Coplanar Waveguide Interconnect in MIS System for Ultra-Broadband Monolithic ICs" has been published in the Progress in Electromagnetics Research (PIER) Journal. Congratulations Amimul! This work is an outcome of the collaboration with Intel Inc.