Keynote Speakers

 

 

Prof. Moshe Zukerman
City University of Hong Kong, Hong Kong

Prof. Moshe Zukerman is a Chair Professor of Information Engineering in the Electronic Engineering Department of City University of Hong-Kong. His research focuses on performance evaluation, resource allocation and survivable design of telecommunications networks and systems. He received B.Sc. and M.Sc. degrees from the Technion, Israel and a Ph.D. degree from UCLA in 1985. During 1986-1997 he was with Telstra Research Laboratories and during 1997-2008 with The University of Melbourne. He has served on editorial boards of various journals and on technical and organizing committees of numerous conferences. He has over 350 publications in scientific journals and conference proceedings. He is a Fellow of the IEEE.

Speech Title: Challenges in Telecommunications Network Design and Optimization

Abstract: This presentation will address two challenges associated with design and optimization of modern telecommunications networks. The first is the optimization of path planning of the undersea cables around the world and the second is the optimization of a realistic size multi-layered network. There are now over a million kilometers of internet cables and there are plans for further million kilometers of cables to be laid at a cost of tens of billions of dollars in the next decade to meet the enormous traffic demand generated as a result of introduction of new technologies and services. New networks must be designed to be resilient as the internet is now crucial to humanity and its failure has grave socio-economic consequences. Therefore, design optimization of the international cable network and understanding the tradeoffs between cost and resilience is key for cost savings and viability of the internet. Optimizing a realistic size multi-layered network is another important challenge given the benefits of layering in network architectures and the current trends of layered networking developments. We will discuss solutions for both problems where we consider practical aspects of cable path planning and realistic traffic models and network size in multi layered network optimization. This work was funded by HK RGC grants CityU123012, CityU11200417 and CityU8/CRF/13G.

 


 

Prof. Hei Wong
City University of Hong Kong, Hong Kong

Prof. Hei Wong received his Ph.D. in electrical and electronic engineering from the University of Hong Kong. Dr. Wong joined the faculty of the Department of Electronic Engineering at City University of Hong Kong in 1989 and is now a professor of the Department. He was a visiting professor for the 21st Century Centre of Excellent (COE21) for Photonics-Nanodevice Integration Engineering, Tokyo Institute of Technology, Japan, and Zhejiang University, China.
 
Dr. Wong was the chair for the IEEE ED/SSC Hong Kong Joint Chapter during 2002-2003. He is a member of the international steering committees, technical program committees, and organizing committees for many international and local conferences. Dr. Wong has served as editor or guest editor for many journals including Microelectronics Reliability (Elsevier), IEEE Transactions on Electron Devices, IEEE Transactions on Nanotechnology. He served as Regional Editor for IEEE EDS Newsletter during 2003-2009. He has served as a Distinguished Lecturer for IEEE EDS since 2002.

Dr. Wong has worked on MOS device modeling and characterization, hot-electron effects, low-frequency noise, thin dielectric film physics, IC process modeling and characterization, MOS integrated circuit designs, solid-state sensors. He is author or co-author of four books and over 360 papers. In particular, he is a co-author for the book: Guide to State-of-the-Art Electron Devices which was jointly published by Wiley and IEEE for celebrating the 60th anniversary of the IRE electron devices committee and the 35th anniversary of the IEEE Electron Devices Society. He has presented many invited talks and keynote speeches at numerous international conferences.

Speech Title: Device, System, and Application Prospectives of More Moore and More than Moore

Abstract: It is anticipated that the CMOS devices will continue to shrink, in accordance to the Moore’s Law, for some more generations by some further technology and device structure innovations in the ultimate scale though there should have lots of challenges ahead in every aspect of device structure, material engineering, as well as fabrication technology. A number of “More-than-Moore” strategies have been worked out, without relying on device scaling, to boost the performance of digital intelligence systems. This talk highlights some of these issues with some personal remarks and prospective on the technology development in coming decades, in particular with 5G mobile technology to be introduced.

 


 

Prof. Anu A. Gokhale
Illinois State University, USA

Prof. Anu A. Gokhale has completed twenty-five years of university teaching and is currently a professor and coordinator of the computer systems technology program at Illinois State University. She is named Fulbright Distinguished Chair in STEM at the University of Pernambuco, Brazil, 2016-17; was a Faculty Fellow in Israel and Fulbright Specialist in cybersecurity at Gujarat Technological University, India in summer 2017; and a Visiting Professor in College of Business at Shandong University in Jinan, China during spring 2017. Dr. Gokhale was honored with the 2011 University Outstanding Researcher Award. Originally from India, she has a master’s in physics‒electronics from the College of William & Mary, and a doctorate from Iowa State University. Her scholarly work focuses on two areas: computer networking, algorithms, and data analytics; and effective ways of teaching science and technology while creating an inclusive environment in these disciplines. She presents and publishes her peer-reviewed research and pursues multi-year projects funded by agencies like the US Department of Education, US Department of State, and National Science Foundation. The current NSF funded project is in Computing Education for the 21st Century. Dr. Gokhale authored a second edition of her book Introduction to Telecommunications, which has an international edition in Chinese. She continues to be an invited keynote speaker at various conferences, latest ones include: 2019 International Conference on Compute and Data Analysis, Maui, USA; 2018 International Conference on Frontiers of Educational Technologies, Moscow, Russia; 2017 International Conference on Knowledge Engineering and Applications, London, UK; 2016 International Conference on Communication and Information Systems, Bangkok, Thailand; 2015 International Conference on Information Technology, Amman, Jordan; 2014 International Conference on Control, Robotics and Cybernetics, Singapore; and 2013 International Conference on Advanced Computer Theory and Engineering in Maldives. She consults for businesses and has delivered multiple workshops. As an active volunteer in IEEE, she has served as R4 Educational Activities Chair, Women in Engineering Coordinator, Chair of International Electro/Information Technology 2010 Conference, and MGA representative to the Educational Activities Board. She was honored with the IEEE Third Millennium Medal.
 





Prof. Hiroyuki Yamauchi
Fukuoka Institute of Technology, Japan

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, Panasonic, Osaka, Japan. From 1985 to 1987 he worked on the submicron MOS FET model-parameter extraction for the circuit simulation and the sensitivity improvement for 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 were presented at the Symposium on VLSI Circuits in 1994 and 1996, respectively, as well as the 1997 ISSCC. After he experienced the developing of 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 been a Professor in Faculty of Information Engineering, Dept. of Computer Science and Engineering in Fukuoka Institute of Technology, Fukuoka, Japan, since October, 2005. His current interests are focused on development of the machine-learning based energy efficiency enhanced AI system designs for AI everywhere era, including a development of a new machine-learning model for saving memory and its energy resources. He holds 215 registered Patents and has presented over 122 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 premium conferences like ISSCC, Symposium on VLSI Technology and Circuits, and ASSCC. He is a member of an SSCS and EDS of IEEE and a regular member of IEICE.

Speech Title: Key Trials for a Technological Breakthrough to Realize an Ultra Energy-Efficient Machine Learning Computing

Abstract: Digital machine learning processing is known as a power hungry computing. Theroute-cause of this power consumption is dominated by the data movement between arithmetic and logic unit (ALU) and off-chip external memory (OEM), whose physical distance and frequency are both large value. Multiply-accumulate (MAC) operation is a commonstep for computing of the product of the input data and weight data and adds those products to an accumulator in the ALU and has to be repeatedly executed in the machine learning processes. This talk will focus on an always-on AI application that is requiredin a smart camera for monitoring a moving image. The required energy efficiency for allowing a smart camera with a 1.8Wh battery to last a full time of one year with one-time charging will be expected to need an over 4 peta-operation-per-second (POPS)/W. Thisvalue is faraway from over 3-4 orders of magnitude compared with a current technology. The talk will discuss on how to realize the target energy efficiency.