Seminar by Prof Chris Gwo Giun Lee, Machine Learning for Analytics Architecture: AI to Design AI (20 May 2024)

ChrisGwoGiunLee
20 May 2024 02.00 PM - 03.30 PM Current Students

You are cordially invited to the following Seminar hosted by

Professor Gan Woon Seng (EEE)

Date and Time:

20 May 2024 (Mon) | 2:00pm to 3:30pm

Venue:

School of EEE, Executive Seminar Room(S2.2-B2-53) (Map)

Title:

Machine Learning for Analytics Architecture: AI to Design AI

Speaker:

Prof. Chris Gwo Giun Lee

Department of Electrical Engineering, National Cheng Kung University

Founder, CogniNU Technologies Incorporated

Phone number: +886 989-657-668

Email address: [email protected], [email protected]

Abstract:

Niklaus Emil Wirth introduced the innovative idea that Programming = Algorithm + Data Structure. Inspired by this, we advance the concept to the next level by stating that Design = Algorithm + Architecture. With concurrent exploration of algorithm and architecture entitled Algorithm/Architecture Co-exploration (AAC), this methodology introduces a leading paradigm shift in advanced system design from System-on-a-Chip to Cloud and Edge.

As algorithms with high accuracy become exceedingly more complex and Edge/IoT generated data becomes increasingly bigger, flexible parallel/reconfigurable processing are crucial in the design of efficient signal processing systems having low power. Hence the analysis of algorithms and data for potential computing in parallel, efficient data storage and data transfer is crucial. With extension of AAC for SoC system designs to even more versatile platforms based on analytics architecture, system scope is readily extensible to cognitive cloud and reconfigurable edge computing for multimedia and mobile health, a cross-level-of abstraction topic which will be introduced in this tutorial together with case studies in lightweight mobile edge for skin cancer detection with two layers CNN at 97% recognition rate.  High level Synthesis (HLS) may also be presented should time allows.

Biography:

ChrisGwoGiunLee

Chris Gwo Giun Lee is an investigator in signal processing systems for multimedia and bioinformatics. His work on analytics of algorithm concurrently with architecture, Algorithm/Architecture Co-Design (AAC), has made possible accurate and efficient computations on SoC, cloud and edge including Digital Health. He is currently using AI to Design AI and is also enabling accessible health and wellness via AI Humanity.   Chris’ work has contributed to 130+ original research and technical publications with the invention of 50+ patents worldwide.  His AAC work was used by the industry in deploying more than 60 million LCD panels worldwide.  Two of these patents were also licensed by US health industry for development of analytics platform based precision medicine products (Boston, MA, June 1, 2015, GLOBE NEWSWIRE).  Chris’ AAC work has also been pivotal in delivering feasible and realistic international standards, including 3D extension of HEVC and Reconfigurable Video Coding in ISO/IEC/MPEG, for applications requiring processing of big multimedia data. His low-complexity 3D video coding technology was also included in MPEG.  


Chris worked for Philips Semiconductor as a system architect and project leader in the Silicon Valley.  He was recruited to National Cheng Kung University in 2003. He has been conducting multidisciplinary research having collaborations with: IBM TJ Watson Research Center on Cloud/Reconfigurable Computing; Banner Alzheimer Institute on Intelligent Health; National Center for High-performance Computing, National Research Laboratory, Taiwan on medical image Analytics; National Taiwan University on Harmonically Generated Microscopy Medical Image Processing; and National Cheng Kung University Medical Center, Kaohsiung Medical University Center on telehealth. He worked with Google on Silicon AI and will work with Cadence on High Level Synthesis.

Chris received his B.S. degree in electrical engineering from National Taiwan University, and M.S. and Ph.D. degrees in electrical engineering from the University of Massachusetts. He served as the AE for IEEE TSP (2016 ~ 2020) and Journal of Signal Processing Systems from 2010 till now. He was formerly the AE for IEEE TCSVT (2009 ~ 2014) for which he received the Best Associate Editor’s Award in 2011. Chris is the IEEE CASS Distinguished Lecturer from 2019 to 2021. Having served as ExCom Member for IEEE Region 10 starting 2017, he also chaired the Industry Relations Committee from 2019 to 2020.

Chris served as APSIPA’s Deputy VP of IRD from 2020 to 202, Special Session Co-Chair, APSIPA 2018, TPC Co-Chair, APSIPA 2017, and Chair for APSIPA SPS-TC from 2015-2016 with establishment of sub-committees. He also established APSIPA Taiwan Chapter since May, 2020.  Chris is the founder and CTO for CogniNU Technologies.

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