Prof. Chaodit Aswakul, Chulalongkorn University, Thailand
Bio: Dr Chaodit Aswakul obtained the Bachelor of Engineering degree (1st-class honours) in Electrical Engineering from Chulalongkorn University, Thailand in 1994 and the Ph.D. degree in communications networking from Imperial College of Science, Technology and Medicine, University of London, United Kingdom in 2000. He is currently an associate professor in Electrical Engineering at Chulalongkorn University. He is serving as the chairman of postgraduate study committee at the Department of Electrical Engineering, Chulalongkorn University. And he is leading the Wireless Network and Future Internet Research Unit at the university. His research interests include software-deﬁned networking, next generation telecommunication network analysis and design, internet of things, building energy management system and trafﬁc ﬂow management in intelligent transportation system. For the Thailand’s telecommunication and broadcasting regulator, he served as the manager of next-generation network (NGN) trial project in Phuket city; the project leader in the USO-based learning centre initiative; and the chairman of committee responsible for issuing the regulatory telecommunication law for voice/data quality of services in Thailand. He served as the secretariat of the board of director for Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI) Association of Thailand. And he served in technical committee for several international academic conferences as well as the Thailand’s liaison for the OF@TEIN+ internationally collaborative project. From 2018 onwards, he is serving as the corresponding co-principal investigator of the IoTcloudServe@TEIN international project, under the grant support of Asi@Connect WP4 (Deployment of Specialised Network Products, Services and Applications and Associated Capacity Development). With project team partnership from South Korea, Japan, Malaysia and Laos, the project aims at establishing three data-centric IoT-cloud services in two selected demo sites, namely, Smart-Energy/Mobility@Chula (Chulalongkorn University, Thailand) and Smart-Agriculture@NUOL (National University of Laos). Dr Chaodit was the scholarship recipient of the Ananda Mahidol Foundation, Thailand, from 1995-2000.
Prof. Chin E. Lin, National Cheng Kung University, Taiwan
Prof. Lin was born in Chang Hua, Taiwan. He received BS and
MS from Department of Electrical Engineering, National Cheng
Kung University, Tainan, Taiwan, and Ph. D. of Electrical
Engineering from Lamar University, Beaumont, Texas, USA.
Since 1984, he has been with Department of Electrical
Engineering, and Department of Aeronautics and Astronautics,
National Cheng Kung University, from associate professor to
full professor. Prof. Lin has wide research involvements on
electric power engineering, power system economic dispatch,
power electronics (as one of the early founders in Taiwan),
new energy system, and then shifting into avionics systems,
flight control, magnetic suspension system, and recent
mobile communication and its added value applications in
data communication and remote control. Prof. Lin has
contributed more than 120 IEEE/AIAA/and other journal papers
and more than 300 conference papers.
Prof. Lin has been serving academic positions as Dean and Head in National Cheng Kung University, Distinguished Chair Professor from South China University of Technology, Guangzhou, China, and presidents of Chinese Automatic Control Society, Taiwan, and International Association of Science and Technology for Development, IASTED, Swiss, as well as international conference organizing chairman, committee member, keynote speaker and session chair, also serving to many well-known international journals as associate editors and reviewers. Prof. Lin has received outstanding research award and several other awards from government funding.
Prof. Lin has been with very good relationship to industry for the past 35 years, and has established at least hundred cooperation programs to promote industrial research and development in products and manufacturing. Since 2002, Prof. Lin has been inspired with many new research concept and methodology as a member of "International Cooperation Program on Antimatters Search in Space", leading by Samuel Ting under support from NASA and 16 countries.
Prof. Hiroyuki Yamauchi, Fukuoka Institute of Technology, Japan
Bio: Prof. Hiroyuki Yamauchi received the Ph.D.degree in engineering from Kyushu University, Fukuoka, Japan, in 1997. His doctoral dissertation was on "Low Power Technologies for Battery-Operated Semiconductor Random Access Memories". In 1985 he joined the Semiconductor Research Center, Matsushita Electric Industrial Company, Ltd., Osaka, Japan. From 1985 to 1987 he had worked on the research of the submicron MOS FET model-parameter extraction for the circuit simulation and the research of the sensitivity of the scaled sense amplifier for ultrahigh-density DRAM's which was presented at the 1989 Symposium on VLSI Circuits. From 1988 to 1994, he was engaged in research and development of 16-Mb CMOS DRAM's including the battery-operated high-speed 16Mbit CMOS DRAM and the ultra low-power, three times longer, self-refresh DRAM which was presented at the 1993 and 1995 ISSCC, respectively. He also presented the charge-recycling bus architecture and low-voltage operated high-speed VLSI's, including 0.5V/100MHz-operated SRAM and Gate-Over-Driving CMOS architecture, which was presented at the Symposium on VLSI Circuits in 1994 and 1996, respectively, as well as the 1997 ISSCC. After he experienced many kinds of management for developing the memory library including SRAM, eDRAM, MROM, eFeRAM, and eFlash and high-speed interface IPs as a general manager for the last 6-years, he has moved to Fukuoka Institute of Technology, Fukuoka, Japan, since October, 2005, and is now a Professor in Faculty of Information Engineering, Dept. of Computer Science and Engineering. His current interests are focused on development of the machine-learning based resiliency enhanced failt tolerant system designs including machine-learning based fault tolerant memory circuit technologies for the future challenges including variation tolerant, low-power and ultra-high speed circuit design. He holds 81 U.S. Patents and has presented over 40 papers including the proceedings of international conferences. Dr.Yamauchi received the 1996 Remarkable Invention Award from Science and Technology Agency of Japanese government. He served a program committee of IEEE Symposium on VLSI Circuits from 1998 through 2000 and a program committee of ISSCC from 2002 through 2007 and ASSCC from 2009-2014. He is a member of an SSCS and EDS of IEEE and a regular member of IEICE.
Speech Title: A Power Saving Techniques for Machine Learning Edge Computing: Toward an Era of AI Everywhere
Abstract: The demand for machine learning applications has been pushed from cloud to edge due to: 1) concerns of latency, privacy and 2) computing/power budget constrain. Inspired by this growing demand, some key trials are continuing their rapid evolution: 1) input and weight MAC operations only in the memory cell array to avoid a power hungry memory access between the ALU and external SRAM/DRAM, and 2) weight binary quantization algorithms with some regularization techniques allowing lower power and bit-saving MAC operations in machine learning. These make it easier to migrate machine learning application toward edge and wearable devices to realize an era of AI everywhere. This talk covers trends in 1) in-memory input and weight MAC operations and 2) weight binary quantization algorithms. This kind of machine learning techniques are required for next-generation mobile/edge and data center devices.