Invited Speakers

 

Prof. Bohr-Ran Huang (IET Fellow)
National Taiwan University of Science and Technology, Taiwan, China

Bohr-Ran Huang got his bachelor degree in department of Electrophysics from National Chiao-Tung University, Hsin-chu, Taiwan, in 1983. He served as the second lieutenant during his military service between 1983 and 1985. Then he received the M.S. and Ph.D degree in Electrical Engineering from Michigan State University, East Lansing, U.S.A, 1986 and 1992, respectively. In 1992, he joined the National Yunlin University of Science and Technology (NYUST) as Associate Professor of Electronic Engineering and became a Full Professor in 2000. He served as Chairperson of Electronic Engineering and Director of Optoelectronic Institute in National Yunlin University of Science and Technology between 2002 and 2007. Then he was recruited to the graduate Institute of Electro-optical engineering and department of Electronic Engineering in National Taiwan University of Science and Technology(NTUST) since August, 2007. He served as the Vice-Dean(2011-2014) and Dean(2015-2017) for College of Electrical Engineering and Computer Science(EECS). Currently, he is a Distinguished Professor in NTUST. Professor Huang’s multidisciplinary research areas are synthesis of 1-D and 2-D nanomaterials (including carbon nano tubes, silicon nanowires, Nanodiamond, Graphene, WS2, WSe2, MoS2, MoSe2, NbSe2, GaSe2…) and nano-optoelectronic sensing devices. Currently, he has published more than 210 papers in referred journal publications and over 270 conference proceedings. Professor Huang is a senior member of Electronic Device Society of IEEE. He received the Outstanding Electrical Engineering Award from Chinese Institute of Electrical Engineering at 2013. Currently, Professor Huang is a Fellow of Institution of Engineering and Technology (IET).

 

 

Prof. Takafumi Koseki
The University of Tokyo, Japan

Ph.D. degree in electrical engineering from The University of Tokyo, Tokyo, Japan, in 1992. He is currently a Professor with the Department of Electrical Engineering and Information Systems, Graduate School of Engineering, The University of Tokyo. His research interests include public transport systems, particularly linear drives, and the analysis and control of traction systems. Dr. Koseki is a Fellow Member of The Institute of Electrical Engineers of Japan.

 

 

Assoc. Prof. Esteve Hassan
Acadia University, Canada

Dr. Esteve Hassan is an Associate Professor in the Jodrey School of Computer Science at Acadia University, where he leads innovative research and instruction in the fields of the Internet of Things (IoT), cyber‑physical systems, and machine learning. He earned his Ph.D. in Electronic and Computer Engineering from the University of Limerick, following an M.Eng. and B.Sc./M.Sc. in the same discipline.
Dr. Hassan’s research focuses on designing low-power, energy‑harvesting sensor modules, FPGA-optimized digital prototyping, and predictive analytics for IoT and Industry 4.0 applications. His scholarly work has resulted in multiple peer-reviewed publications, including recent contributions to anomaly detection in SELinux security policies. He is also a valued member of the NSERC Scholarships and Fellowships Review Committee for Computing Sciences, reflecting his national standing.
At Acadia, Dr. Hassan teaches courses in embedded systems, data analytics, and machine learning, and supervises undergraduate and graduate students on applied research projects leveraging wireless sensor networks and smart automation. His collaborative efforts span academia and industry, enhancing real-world impact through technology-driven solutions

 

 

Assoc. Prof. Bin Zhang
Kanagawa University, Japan

Bin Zhang received his B. Eng. Degree in department of Automation from Harbin Engineering University, China, in 2011, and Ph.D. (Eng.) degree in department of Mechanical Intelligent Engineering from The University of Electro-Communications, Japan, in 2017. Then he worked at Nissan Motors Co., Ltd for developing Infiniti series. Since 2018, he joined Kanagawa University as an assistant professor, and he is currently an associate professor and PI of Intelligent Machine Lab at the department of Mechanical Engineering, Kanagawa University. His current research interests include intelligent robotics, human interaction and autonomous vehicles. Dr. Bin Zhang is a member of IEEE, IEEJ and JSME. He has published more than 160 papers in referred journal publications and conference proceedings. He was awarded the best paper/best presentation awards for ICSR2016, ICDSP2022, EAI 6GN2023, RCAE2025 etc.

Speech Title: Development of Social Robots for People with Disabilities

Abstract: Nowadays, resources for helping people with disabilities are far from enough so that the workers providing nursing care services, including taking care of elders, usually have a great amount of work, visual or hearing-impaired people need to wait for years after applying for guide dogs, and users need to learn to adapt to operate modern wheelchairs. In order to improve the quality of life (QoL) of people with disabilities, we developed social robots to help impaired people adapt to the social environment. Specifically, by providing considerate functions, the social acceptance of robots can be improved and human-robot coexistence in daily life can be expected in the near future. In this speech, developments and challenges of social robots for people with disabilities are introduced, including guide dog robots for visually or hearing-impaired people, accompany autonomous mobile wheelchairs, and nursing care robots, etc.

 

 

Assoc. Prof. Lili Nurliyana Abdullah
Universiti Putra Malaysia, Malaysia

Dr. Lili Nurliyana Abdullah is an Associate Professor at the Department of Multimedia, Faculty of Computer Science and Information Technology, Universiti Putra Malaysia (UPM). With over 30 years of academic experience, she brings a strong blend of teaching, research, and leadership to the field of computing and multimedia technologies.
Her research interests include image and video processing, deepfake detection, multimedia applications, user experience (UX), augmented and virtual reality, and digital forensics. She has published widely in international journals and conferences, and actively leads funded research projects in areas such as AI-based video analysis, machine vision, and adaptive user interfaces.
Beyond research, Dr. Lili is deeply passionate about teaching and international collaboration. She is excited to engage with fellow researchers, exchange ideas, and explore new opportunities for collaboration.