IEEE Life Fellow, AAIA Fellow, IEEJ Life Member

Prof. Emeritus Takashi HIYAMA, Kumamoto University, Japan

Takashi HIYAMA received his B.E., M.S., and Ph.D. degrees all in Electrical Engineering from Kyoto University, Japan in 1969, 1971, and 1980, respectively. Since 1989 to March 2012, he had been a full professor at the Department of Electrical Engineering and Computer Science, Kumamoto University, Japan. For two months from April to May of 1975, he was a Visiting Researcher at Moscow Energy Institute of former Soviet Union following the governmental exchange agreement of scholars and researchers. From May 1985 to September 1986, he was with Clarkson University, NY, USA as the Research Fellow involved in ESSERCO (Empire State Electrical Energy Research Corporation) project on Harmonics Measurement and Analysis. He was also working as the Director of International Student Center, one of the Members of the Special Advisory Board for the President, the Vice-Dean and the Dean of the Graduate School of Science and Technology, and the Director of Shock Wave and Condensed Matter Research Center at Kumamoto University. After his retirement from Kumamoto University at the end of March 2012, he got the title of Professor Emeritus of Kumamoto University. He was also assigned to the President of Kumamoto Prefectural College of Technology. After two years work there, he came back to Kumamoto University in April 2014 with the title of Distinguished Professor at the Priority Organization for Innovation and Excellence (POIE). There, he worked as the Director of International Collaborative Research Group for Science and Technology and later as the Director of International Research Organization for Advanced Science and Technology (IROAST) until the end of March, 2021.
His research interests included intelligent systems applications to the operation, control and management of electric power systems. In addition, his research covered the applications of renewable energy power sources in power distribution networks for the configuration of micro-grid and/or smart-grid. Especially, the following research works are still highly cited: the fuzzy logic based operation of power systems, the introduction of Artificial Neural Network based MPPT control for PV systems, and the application of Multi-agent Systems for the coordinated Intelligent Automatic Generation Control (AGC) including PV, WTG, and Energy Capacitor Systems with regular power plants. He published 5 books and 213 reviewed papers including international conference papers. Currently, the total citation of his papers reached 4893 and his h-index is 36.
He also performed his joint research for 25 years with the several divisions of Kyushu Electric Power Co. including its Research Institute. His joint research topics covered wider areas of operation, control and management of electric power systems. His current title is Professor Emeritus, Kumamoto University. He is a Life Fellow of IEEE, Fellow of AAIA, and Life Member of IEEJ.

Fellow of IEEE

Prof. Xiaoqing Wen, Kyushu Institute of Technology, Japan

Xiaoqing WEN received the B.E. degree from Tsinghua University, China, in 1986, the M.E. degree from Hiroshima University, Japan, in 1990, and the Ph.D. degree from Osaka University, Japan, in 1993. He was an Assistant Professor at Akita University, Japan, from1993 to 1997, and a Visiting Researcher at the University of Wisconsin–Madison, USA, from Oct. 1995 to Mar. 1996. He joined SynTest Technologies Inc., USA, in 1998, and served as its Vice President and Chief Technology Officer until 2003. He joined Kyushu Institute of Technology, Japan, in 2003, where he is currently a Professor with the Department of Computer Science and Networks. He is a Co-Founder and Co-Chair of Technical Activity Committee on Power-Aware Testing under Test Technology Technical Council (TTTC) of IEEE Computer Society. He is serving as Associate Editors for IEEE Transactions on Very Large Scale Integration Systems (TVLSI) and Journal of Electronic Testing: Theory and Applications (JETTA). He co-authored and co-edited the latest VLSI test textbook in 2006 and the first comprehansive book on power-aware VLSI testing in 2009. His research interests include design, test, and diagnosis of LSI circuits. He has published more than 300 papers and holds 43 U.S. patents & 14 Japan patents. He received the 2008 Society Best Paper Award from IEICE-ISS. He is a Fellow of IEEE.
(https://www.vlab.cse.kyutech.ac.jp/~wen/index.htm)

Speech Title: LSI Testing: A Core Technology to a Successful Semiconductor Industry

Abstract: The semiconductor industry is exposed to shrinking feature sizes, growing circuit complexity, increasing clock speeds, and decreasing power supply voltages. In addition to significant impact on LSI design and manufacturing, these factors also have a profound impact on LSI testing, a complex process for separating defective chips from defect-free ones. The major challenges to LSI testing are low test quality, high test cost, and excessive test power. These challenges have led to new chances of innovations in LSI testing, characterized by cell-aware test generation, test compression, and power-aware testing. This talk will review these challenges and chances. Furthermore, this talk will reveal the role of LSI testing in the semiconductor business chain, so as to explain why LSI testing is a core technology to a successful semiconductor industry.

 

 

 

IEEE Fellow

Prof. Mohamed Benbouzid, University of Brest, France

Biography: Mohamed Benbouzid completed his Ph.D. in electrical at the National Polytechnic Institute of Grenoble, Grenoble, France, in 1994. He further earned his Habilitation à Diriger des Recherches degree from the University of Amiens, Amiens, France, in 2000. Following the completion of his Ph.D., Dr. Benbouzid joined the University of Amiens, where he held the position of Associate Professor in electrical engineering. Since September 2004, he has been affiliated with the University of Brest, Brest, France, where he currently serves as a Full Professor in electrical engineering. Additionally, he holds the distinguished positions of a Distinguished Professor and a 1000 Talent Expert at the Shanghai Maritime University in Shanghai, China. Prof. Benbouzid primary research interests and expertise include control of electric machines, variable-speed drives for traction, propulsion, and renewable energy applications, and fault diagnosis of electric machines. Prof. Benbouzid is an IEEE Fellow and a Fellow of the IET. He is the Editor-in-Chief of the International Journal on Energy Conversion and the Applied Sciences (MDPI) Section on Electrical, Electronics and Communications Engineering. He is a Subject Editor for the IET Renewable Power Generation.

Speech Title: Grid-Connection of Tidal Stream Turbines: Challenges and Issues for Large-Scale Deployment

Abstract: The world wide potential of electric power generation from marine tidal currents and waves is enormous. High load factors resulting from the fluid properties and the predictable resource characteristics make these energy resources attractive and advantageous for power generation and advantageous when compared to other renewable energies with unpredictability in availability. The technologies are just beginning to reach viability to make them potential commercial power sources. While just a few small projects currently exist, the technology is advancing rapidly and has huge potential for generating bulk power. Moreover, international treaties related to climate control and dwindling fossil fuel resources have encouraged harnessing energy sustainably from such renewable sources. Several demonstrative projects have been scheduled to capture tidal and wave energies. A number of these projects have now reached a relatively mature stage and are close to completion.
Regarding this emerging and promising area of research, this keynote will address tidal stream turbines grid-connection key issues and challenges for massive deployment, while presenting some solution based on different storage technologies.

Prof. Hiroyuki Mori, Meiji University, Chiyoda-Ku, Japan

Hiroyuki Mori received the B.Sc., M.Sc., and Ph.D. degrees, all in Electrical Engineering, from Waseda University, Tokyo, Japan, in 1979, 1981, and 1985, respectively. From 1984 to 1985 he was a Research Associate at Waseda University. In 1985, he joined the Dept. of Electrical Engineering at Meiji University (MU), Japan. In 1995, he became a Professor at Dept. of Electrical Engineering and is now a Professor at Dept. of Network Design of MU since 2013. From 1997 to 2002, he was Division Director of Evolutionary Learning Systems at MU High Technology Research Center for Artificial Life. From April 2005 to March 2010, he was appointed Director of MU High Technology Research Center for Sustainable Energy & Materials. He was a Visiting Associate Professor from March 1994 to May 1995, a Visiting Professor from April 2017 to March 2018, and a Visitor from June 2022 to October 2022 at Cornell University, Ithaca, NY, USA.
He was the Technical Committee Chair of IEEE ANNPS1993 in Yokohama, Japan, and IEEE CAS Technical Committee Chair on Power Systems and Power Electronics from June 1993 to May 1994. Also, he was   General Chair of IEEE PES ISAP2013 in Tokyo, Japan, and IFAC (International Federation of Automatic Control) CPES2018 in Tokyo, Japan. He was Chair of the IEEE PES Analytic Methods for Power Systems Committee (AMPS) Intelligent Systems Subcommittee (ISS) from January 2020 to December 2022 and Secretary of the IEEE PES AMPS ISS Working Group on Open Data and IFAC TC6.3. He has been an IEEJ Fellow since 2019, an IEEJ Professional since 2021, and received the Working Group Recognition Award (Modern Heuristics Optimization) in 2022, IEEE PES AMPS Subcommittee Chair Recognition Award in 2023, an IEEJ Outstanding Achievement Award in 2024.
His research interests are power system operation and planning, active distribution automation, and intelligent systems applications (Deep Neural Networks, Evolutionary Computation, Fuzzy Logic, Data Mining). He is a member of IEEJ, IEEE, SIAM, and ACM.

Speech Title: Development of Quantum-Inspired Predator-Prey Brain Storm Optimization in Power Systems