Speakers

Keynote Speaker I

Prof. Zuqing Zhu
IEEE Fellow
The University of Science and Technology of China (USTC), China

Keynote Lecture: Machine Learning in and for Optical Data-Center Networks

Abstract: In the first part of this talk, we will first discuss the challenges on scalability, energy and manageability of data-center network (DCN) systems, and then explain why all-optical inter-connection can be a promising solution for future DCN systems. Next, we describe a novel all-optical inter-connection architecture based on arrayed waveguide grating router (AWGR) and wavelength-selective switches (WSS'), namely, Hyper-FleX-LION, explain its operation principle, and show experimental results of running distributed machine learning (DML) in a DCN in Hyper-FleX-LION. In the second part of this talk, we will explain how machine learning can be leveraged to realized knowledge-defined networking (KDN) and facilitate network automation in DCNs. Experimental results demonstrate that KDN can automatically reduce task completion time.

Biography: Zuqing Zhu received his Ph.D. degree from the Department of Electrical and Computer Engineering, University of California, Davis, in 2007. From 2007 to 2011, he worked in the Service Provider Technology Group of Cisco Systems, San Jose, California, as a Senior Engineer. In January 2011, he joined the University of Science and Technology of China, where he currently is a Full Professor in the School of Information Science and Technology. He has published 360+ papers in peer-reviewed journals and conferences. He is the Steering Committee Chair of the IEEE International Conference on High Performance Switching and Routing (HPSR), and was the Chair of the Technical Committee on Optical Networking (ONTC) in IEEE Communications Society. He has received the Best Paper Awards from ICC 2013, GLOBECOM 2013, ICNC 2014, ICC 2015, and ONDM 2018. He is a Fellow of IEEE. <Learn More>

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Keynote Speaker II

Prof. Francis Lau
IEEE Fellow, IET Fellow
The Hong Kong Polytechnic University, Hong Kong SAR, China

Keynote Lecture: TBD

Abstract: TBD

Biography: Francis C. M. Lau received the BEng (Hons) degree in electrical and electronic engineering and the PhD degree from King’s College London, University of London, UK. He is also a Fellow of IEEE and a Fellow of IET. He is the co-author of two research monographs and a co-holder of five US patents and one pending US patent. He has published over 320 papers. His main research interests include channel coding, cooperative networks, wireless sensor networks, chaos-based digital communications, applications of complex-network theories, and wireless communications.
He served as an associate editor for IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II (2004-2005, 2016-2019), IEEE CIRCUITS AND SYSTEMS MAGAZINE (2012-2015), and IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I (2006-2007); guest editor of IEEE Access, Special Section: Advances in Channel Coding for 5G and Beyond (2018). He has been a guest associate editor of INTERNATIONAL JOURNAL AND BIFURCATION AND CHAOS since 2010. He was the General Co-chair of International Symposium on Turbo Codes and Iterative Information Processing, 2018. <Learn More>

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Keynote Speaker III

Prof. Makoto Iwasaki
IEEE Fellow, Vice President of Nagoya Institute of Technology
Nagoya Institute of Technology, Japan

Keynote Lecture:“Mechatronic Techniques in Industrial Electronics Manufacturing for Advanced Sensing and Communication Devices”

Abstract: “Motion Control” is one of practical academic disciplines on the basis of control theories, and has been extensively applied to actual “Mechatronic Systems” in various industrial fields. For example, fast-response and high-precision motion control should be indispensable in a wide variety of high performance mechatronic systems including micro and/or nano scale motion, such as data storage devices, machine tools, manufacturing machines for electronics components, and industrial robots, from the standpoints of high productivity, high quality of products, and total cost reduction.
The keynote presentation explores practical mechatronic control techniques for electronics manufacturing machines used in advanced sensing and communication devices, such as printed circuit boards (PCBs) in smartphones, personal computers, and servers. It highlights several essential processes in PCB productions, including making via holes by laser /drilling process to establish electrical connections between the board layers, mounting electronic chips on the board with high integration density, etc.
The talk, therefore, addresses the operation of processing machines to ensure the required control specifications, identifies factors that deteriorate the control performance, and demonstrates how controllers can mitigate these issues to enhance overall performance, by providing practical examples of industrial processing machines through collaborative research and development activities with industries.

Biography: Makoto Iwasaki received the B.S., M.S., and Dr. Eng. degrees in electrical and computer engineering from Nagoya Institute of Technology (NITech), Nagoya, Japan, in 1986, 1988, and 1991, respectively. He is currently a Vice President of NITech and a Professor at the Department of Electrical and Mechanical Engineering, NITech.
As professional contributions of the IEEE, he has participated in various organizing services, such as, a Co-Editors-in-Chief for IEEE Transactions on Industrial Electronics since 2016, a Vice President for Planning and Development in term of 2018 to 2021, etc. He is IEEE fellow class 2015 for "contributions to fast and precise positioning in motion controller design". He has received many academic, foundation, and government awards, like the Best Paper and Technical Awards of IEE Japan, the Nagamori Award, the Ichimura Prize, and the Commendation for Science and Technology by the Japanese Minister of Education, respectively. He is also a fellow of IEE Japan, and a member of Science Council of Japan. His current research interests are the applications of control theories to linear/nonlinear modelling and precision positioning, through various collaborative research activities with industries. <Learn More>

 

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Keynote Speaker IV

Prof. Peter Chong
Auckland University of Technology, New Zealand

Keynote Lecture: TBD

Abstract: TBD

Biography: Professor Peter Han Joo Chong is the Associate Head of School (Research) at the School of Engineering, Computer and Mathematical Sciences, Auckland University of Technology, New Zealand. Between 2016 and 2021, he was the Head of Department of Electrical and Electronic Engineering at AUT. He received the B.Eng. (with distinction) in Electrical Engineering from the Technical University of Nova Scotia, Canada, in 1993, and the M.A.Sc. and Ph.D. degrees in Electrical and Computer Engineering from the University of British Columbia, Canada, in 1996 and 2000, respectively. He has visited Tohoku University, Japan, as a Visiting Scientist in 2010 and Chinese University of Hong Kong (CUHK), Hong Kong, between 2011 and 2012. He is currently an Adjunct Professor at the Department of Information Engineering, CUHK. He is an Honorary Professor at Amity University, India. He is a Fellow of the Institution of Engineering and Technology (FIET), UK. Prof. Chong is listed in the World's Top 2% Scientists published by Stanford University in 2022. Prof. Chong received the Research Excellence Award from the Faculty of Design and Creative Technologies in 2023. <Learn More>