Prof. Nobuo Funabiki
Okayama University, Japan
Nobuo
Funabiki received the B.S. and Ph.D. degrees in
mathematical engineering and information physics
from the University of Tokyo, Japan, in 1984 and
1993, respectively. He received the M.S. degree in
electrical engineering from Case Western Reserve
University, USA, in 1991. From 1984 to 1994, he was
with the System Engineering Division, Sumitomo Metal
Industries, Ltd., Japan. In 1994, he joined the
Department of Information and Computer Sciences at
Osaka University, Japan, as an assistant professor,
and became an associate professor in 1995. He stayed
at University of California, Santa Barbara, in
2000-2001, as a visiting researcher. In 2001, he
moved to the Department of Information and
Communication Systems at Okayama University as a
professor. His research interests include computer
networks, IoT, optimization algorithms, educational
technology, and web application systems. He is a
member of IEEE, IEICE, and IPSJ. He was a vice
president for conferences at IEEE Consumer
Technology Society (CTSoC) in 2023 and 2024, and the
chairman at IEEE Hiroshima Section in 2015 and 2016.
Prof. Tzai-Hung Wen
National Taiwan University
Tzai-Hung Wen received his B.S., M.S., and Ph.D. degrees in Bioenvironmental Systems Engineering from National Taiwan University in 1996, 1998, and 2006, respectively. He subsequently served as a postdoctoral fellow at the Center for Geographic Information Science, Academia Sinica, from 2007 to 2008. In 2009, he joined the faculty of the Department of Geography at National Taiwan University, where he served as department chair from 2018 to 2021. He also holds joint appointments as a professor in the Institute of Epidemiology and Preventive Medicine and the Graduate Institute of Public Affairs. Additionally, he served as Chairman of the Chinese Cartographic Association from 2019 to 2023. His research primarily focuses on modeling geospatial processes in human environments, with an emphasis on the spatial diffusion of epidemics, population mobility structures, and human-environment interactions. His recent significant research has been published in IEEE Transactions on Computational Social Systems, International Journal of Health Geographics, and Applied Geography.
Prof. Xinguo Yu
Central China Normal University, China
Prof. Yu Xinguo is Professor at the National Engineering Research Center for E-Learning, Central China Normal University, Wuhan, China. He also holds an adjunct professorship at the University of Wollongong, Australia. He is the Chair of the Hubei Society of Artificial Intelligence in Research and Education. Prof. Yu's research primarily focuses on HI-AI collaboration, intelligent education, intelligent research, educational robotics, multimedia analysis, computer vision, and machine learning. With over 200 published research papers including over 30 SCI papers. Prof. Yu serves as an Associate Editor and Guest Editor for several international journals and has contributed significantly to the global academic community by serving as General Chair, Keynote Speaker, and Program Chair for more than 30 international conferences. Since 2021, he has pioneered and led the annual International Conference on Intelligent Education and Intelligent Research.
Prof. Fahim Khan
Toyo University, Japan
Dr. Fahim Khan is a Professor at the Department of Information Networking for Innovation and Design (INIAD) in Toyo University, Tokyo, Japan. Prior to joining Toyo University, he served as a faculty member at the University of Tokyo, from where he also obtained his MS and PhD in Applied Computer Science. His recent research encompasses several avenues of applied computing, including: developing security measures for IoT and smart spaces; designing distributed systems using machine learning, generative AI, and blockchain; and leveraging EdTech and learning sciences for CS, STEM and SDGs education. His research publications have won multiple best paper awards at IEEE conferences. He actively serves as a committee member at numerous IEEE and ACM conferences. A Senior Member of IEEE, Khan is a recipient of IEEE Japan Medal. He is also a globally selected member of ACM Future of Computing Academy (ACM-FCA), an initiative that brings together next-generation leaders in computing to carry the computing community into the future.
Prof. Min Chen
University of Washington Bothell, United States
Prof. Joseline M. Santos
Bulacan State University, Philippines
Senior Lecturer Dr. Mariam Mohamad
Universiti Sains Malaysia, Malaysia
Title: A Bibliometric Review of Mobile Assistive Technology Research for Dyslexic Children: Mapping the Landscape of a Decade
Abstract: Dyslexia, a prevalent neurodevelopmental disorder affecting reading and writing skills, poses significant challenges to educational attainment. In recent years, mobile assistive technologies have emerged as promising tools to support dyslexic children in their journey. Despite the increasing focus on mobile assistive technology for dyslexic children, a comprehensive overview of the research landscape is lacking. The field is characterized by a proliferation of studies, diverse methodologies, and an expanding knowledge base. This bibliometric review leverages advanced analytical tools, with a primary focus on the VOS viewer software, to conduct a comprehensive analysis of the literature spanning from 2014 to 2024. A carefully curated dataset, comprising research articles sourced from reputable databases, forms the basis of the analysis. Anticipated outcomes include visually rich maps depicting the citation networks and keyword co-occurrence patterns within the realm of mobile assistive technology for dyslexic children. We expect to identify key articles shaping the field, prominent clusters of research, and evolving trends. This bibliometric review aspires to contribute a panoramic view of the last decade's research landscape in mobile assistive technology for dyslexic children. The anticipated insights hold the potential to guide future research directions, technological innovations, and educational interventions, ultimately enhancing the support available to dyslexic children through mobile assistive technologies.