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 assistant professor in the Department of Electrical Engineering and Computer Science (EECS) at University of Kansas (KU). In the past 10+ years, she has been working on various research topics in the area of Very Large Scale Integrated (VLSI) Circuits and Systems, High Performance Computing, and Computer Aided Design (CAD) at Texas A&M University, Freescale, IBM, Intel, Texas Instruments (TI), and University of Missouri Kansas City. She received her Ph.D. in Compute Engineering at Texas A&M University and her M.S., B.S. in Electrical Engineering at Shanghai Jiaotong University. She has more than 50 publications in international journals and conference proceedings. Two of her paper have been selected as Best Paper Award Finalist for IEEE Conference on VLSI Design, Automation and Test (VLSI-DAT) in 2011, and IEEE Conference on Electrical Performance of Electronic Packaging (EPEP) in 2006.
Yang (Cindy) Yi has been invited to serve as Technical Program Committee (TPC) track chair in ISQED, an editorial board member for several international journals including IJCNE, EJAET, and JSAM, a guest editor for serveral international journals, a frequent panelist for National Science Foundation (NSF) and Air Force Office of Scientific Research (AFSOR) technical proposal review panels, and TPC member for various international conferences including EMC, ISQED, ICC, GLOBECOM, ASQED, ICNC, ICCVE, ACM Student Research Competition in ICCAD, and etc. In the past three years, she received the United States Air Force (USAF) Summer Faculty Fellowship, and Miller Professional Development Award for Distinguished Research in 2016, NSF EPSCoR First Award, USAF Summer Faculty Fellowship, KU Miller Scholar, 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 is funded by NSF, Department of Defense (DoD), NSF EPSCoR, AFRL, AFSOR, State of Kansas, and several industrial companies.
Available positions: research assistant positions are available in
Fall 2017 for self-motivated Ph.D. students who are interested in conducting research on the topic of IC design, neuromorphic computing, neural network, and machine learning.
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 group receives funding support from Samsung Research America on congitive computing.
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,” and “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 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 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.
Jan. 2015: Welcome to the world! Ethan! It is a place full of delights and wonders.