Yoon Seok Yang

Bio

Prof. Yoon-Seok Yang is an assistant professor in the Department of Computer Science at SUNY Korea. Previously, he worked as a Tensor Processing Unit (TPU) silicon and research engineer at Google in Sunnyvale, California. Before joining Google, he was a research scientist at the Neuromorphic Computing Lab at Intel Labs in Santa Clara, California, from 2012 to 2022, focusing on neuromorphic computing systems and AI chip design. Prof. Yang earned his Ph.D. in electrical and computer engineering from Texas A&M University, College Station, USA.

Research interests

His research interests primarily focus on Neuromorphic Computing, which involves the development of innovative algorithms and architectures for deep learning and spiking neural networks inspired by the brain.

Interests include: Neuromorphic computing, neuromorphic computing algorithms and applications, neuromorphic vision systems using event-based vision sensors, accelerator design for Artificial Intelligence (AI), multiprocessor architecture, machine learning-based image and signal processing, and cryptography for security.

Teaching

CSE 320 System Fundamentals II (Fall'23, Spring'24, Fall'25)

CSE 327 Computer Vision (Spring'25)

CSE 416 Software Engineering (Spring'23, Fall'24, Spring'25, Fall'25)

CSE 511 Brain and Memory Modeling (Fall'24)

Experience

SUNY Korea, Mar. 2023 - Current

Assistant Professor @ Dept. of Computer Science, 

Google, Sunnyvale, CA, USA,  Jan. 2022 – Mar. 2023

Silicon and Research Engineer @ Tensor Processing Unit (TPU) group, Google Cloud

• Designed and validated cloud TPUs (Google’s AI chips)

Intel Labs, Santa Clara, CA, USA, Nov. 2011 – Jan. 2022

Research Scientist @ Neuromorphic Computing Lab, Intel Labs

• Conducted research on neuromorphic computing for Intel neuromorphic chips (Loihi and Loihi2)

• Developed a neuromorphic event-based vision system including dynamic vision sensors and Loihi neuromorphic chip for robot control, human gesture recognition, and autonomous driving systems

• Developed FPGA-based emulation systems for the validation of Loihi and Loihi2

This extremely energy-efficient chip, which uses the data to learn and make inferences, gets smarter over time and does not need to be trained in the traditional way.

LG DTV Lab, South Korea, Feb. 2000 – June 2005

Senior Research Engineer @ LG DTV laboratory

• Researched and developed the world first DMB SoC and Phone

• Developed transport de-multiplexers, video decoders, video display processors for DTV SoCs

• Researched security blocks and Conditional Access System (CAS) used in LG DTVs

Education

Texas A&M University, College-Station, TX, USA, Aug. 2008 – Aug. 2012

Ph.D. @ Computer Engineering

• Area of Study: Energy efficient and high performance system-on-chip design

University of California, Irvine, CA, Sep. 2005 – Mar, 2008

MS @ Computer Engineering

• Area of Study: Processing element design for multi-core systems

Hanyang University, South Korea, Mar. 1992 - Feb. 2000

BS and MS @ Control Engineering

• Area of Study: Very Large Scale Integration (VLSI) design for video decoder

Publications and Patents

Publication Link

Awards

ETR (Emerging Technology Research) Division Recognition Award (Loihi 2), Intel Labs, 2021

ADR (Architecture & Design Research) Division Recognition Award (Loihi), Intel Labs, 2018

The 3rd Gordon E. Moore Awards at Intel Labs for Outstanding Research Achievement (Soft Graphics IP), Intel Labs, 2015

ADR (Architecture & Design Research) Division Recognition Award (SoC), Intel Labs, 2014

SII Department Award, Intel, April 2013

IAG (Intel Architecture Group) SII Division Recognition Award, Intel, 2013

R&D TDR (Tear Down & Redesign) Grand Prize, LG, 2005

TL2005 (Technology Leadership 2005) Gold Award, LG, 2003

Outstanding Research Engineer Award, LG, 2001

Superior Idea Award, LG, 2001