Home > Seminars > Yang (Cindy) Yi - Building Brain-Like Computing Small, Cool, and Robust: Novel Paradigm of Analog Neuron Circuit Design

Yang (Cindy) Yi - Building Brain-Like Computing Small, Cool, and Robust: Novel Paradigm of Analog Neuron Circuit Design


2/25/2016 at 3:30PM


2/25/2016 at 5:00PM


356 Fitzpatrick


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Kevin Bowyer

Kevin Bowyer

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Phone: 574-631-9978
Website: http://www.nd.edu/~kwb
Office: 321 Stinson-Remick Hall


Biometrics, data mining, computer vision, pattern recognition, applications to medical imaging, ethics and computing, computer science education.
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As semiconductor technologies continue to scale further into the nanometer regime, it is important to study how non-traditional computer architectures may be uniquely suited to take advantage of the novel behavior observed for many emerging technologies. Neuromorphic computing, which is inspired by the working mechanism of human brain, represents a type of non-traditional architecture encompassing evolutionary and holds great promise for many important engineering and scientific applications.

In this talk, I will present my work on energy efficient analog neuron integrated circuit (IC) design in neuromorphic computing systems and its exploration to emerging applications. Spike time dependent encoding efficiently maps a signal’s amplitude information into a spike time sequence that offers perfect recovery for band limited stimuli. The nonlinear node based delay feedback reservoir represents a class of dynamic processors that meet the requirements of high dimensionality and finite memory. Three dimensional (3D) integration with neuromorphic IC provides high system speed, high density, low power consumption, and small footprint. The layout design and performance analysis of proposed circuits will be demonstrated. Finally, I will show the application of the proposed design and methodology by looking at the problem of communicating over a multiple-input multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) channel.

Seminar Speaker:

University of Kansas

University of Kansas

Yang (Cindy) Yi is an Assistant Professor in the Department of Electrical Engineering and Computer Science (EECS) at University of Kansas (KU). Prior to joining the faculty at KU, she has been working on various research topics in the area of integrated circuits and systems at Texas A&M University, Freescale, IBM, Intel, and Texas Instruments (TI).  She obtained her Ph.D. in Computer Engineering at Texas A&M University, the M.S. and B.S. in Electrical Engineering at Shanghai Jiao Tong University. Her research interests lie in general areas in Very Large Scale Integrated (VLSI) Circuits and Systems, Neuromorphic Computing, Computer Aided Design (CAD), Emerging Nano-electronic Device, and Internet of Things (IoT).

Yang (Cindy) Yi has more than 40 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 an editorial board member for several international journals including IJCNE, EJAET, and JSAM, a frequent panelist for National Science Foundation (NSF) and Air Force Office of Scientific Research (AFSOR) technical proposal review panels, and a member of Technical Program Committee (TPC) for various international conferences including ICC, GLOBECOM, ISQED, ASQED, ICNC, ICCVE, ACM Student Research Competition in ICCAD, and etc.  She received the United States Air Force (USAF) Summer Faculty Fellowship, KU Miller Scholar, NSF EPSCoR First 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), NSF EPSCoR, AFRL, AFSOR, State of Kansas, and several industrial companies. In 2015, she secured $1 million+ personal share research funding (with $1.043 Million Federal Funding as PI).