History-ICNGN2025

History

ICNGN 2025

Singapore | December 12-14, 2025

Welcome you to the 4^th International Conference on Intelligent Computing and Next Generation Networks (ICNGN 2025), which was held successfully in Singapore from December 12-14, 2025. This conference served as an influential platform for researchers, scholars, and industry professionals to converge and engage in meaningful discussions, exchange innovative ideas, and showcase cutting-edge advancements in the fields of intelligent computing and next generation communication networks.

Sponsored by IEEE Communications Society, ICNGN 2025 was listed on the official website of IEEE with the ID 67480: https://conferences.ieee.org/conferences_events/conferences/conferencedetails/67480. The papers selected for the proceedings have undergone rigorous peer review to ensure the highest quality and relevance to the themes of intelligent computing and next-generation networks. These contributions not only address fundamental challenges but also offer novel solutions and insights, reflecting the vibrant discussions that took place during the sessions.

We would like to acknowledge and thank all of the participants whose engagement and intellectual contributions made ICNGN 2025 a truly memorable and productive conference. We hope the discussions and collaborations sparked during the conference will pave the way for future advancements and joint endeavors in these exciting and transformative fields.

And we still have a great line-up of keynote & invited speakers including:
Prof. Ming Xie, Nanyang Technological University, Singapore
Prof. Hirozumi Yamaguchi, Osaka University, Japan
Assoc. Prof. Mohammed Al-Khalidi, Manchester Metropolitan University, UK
Dr. Nguyen Minh Tuan, Posts and Telecommunications Institute of Technology, Vietnam

Appreciated so much for their contributions and willing to share their new research developments in ICNGN.

ICNGN 2025 has been successfully held online via zoom and
in-person in Singapore during December 12-14, 2025.
For more information about ICNGN 2025, please click here.

ICNGN 2025 Proceedings

ICNGN 2025 - ISBN: 979-8-3315-7070-5 | IEEE Xplore Online

OUR SPEAKERS

Prof. Ming Xie

Nanyang Technological University, Singapore
Associate Editor of IEEE Transaction on Autonomous Mental Development

Xie Ming is holding the positions of Associate Professor at Nanyang Technological University, Editor-in-Chief of International Journal of Humanoid Robotics (Indexed by SCI/SCIE), Associate Editor of IEEE Transaction on Autonomous Mental Development, and Director of private companies. He has served as technical consultants to Asia Electronics Pte Ltd in 1994, Port of Singapore Authority in 1994, Delphi Automotive Systems Pte Ltd in 2001, ST Aerospace Ltd in 2006, Murata Electronics Pte Ltd in 2007, and Sony Electronics Pte Ltd in 2007. He has also worked with Renault Automation (Paris/France) in 1986, INRIA Sophia-Antipolis (Nice/France) between 1990 and 1993, and Singapore-MIT Alliance between 2000 and 2004. In addition, Xie Ming has served as the General Chair of International Conference on Climbing and Walking Robots in 2007, and International Conference on Intelligent Robotics and Applications in 2009. Xie Ming obtained his B.Eng in control and automation in 1984. At the same year, he was selected as one of Chinese government’s overseas scholars. Thereafter, he obtained the Master degree in industrial automation from the University of Valenciennes (France) in 1986, and the Ph.D degree in informatics from the University of Rennes (France) in 1989. He has published one best-selling book in robotics in 2003, and over 100 research papers so far. Xie Ming has taught a number of university courses such as Applied Machine Vision, Robotics, Computer Graphics, Statistical Process Control, and Physics. Xie Ming’s research strengths are in machine intelligence, humanoid robotics and autonomous vehicles. In total, he has won two scientific competition awards, and two best conference paper awards.
Title: Science of Mind as New Foundation of Artificial Intelligence

Assoc. Prof. Mohammed Al-Khalidi

Manchester Metropolitan University, UK

Dr. Mohammed Al-Khalidi is an associate professor in Cyber Security and leader of the Cyber Security Research Lab at the Department of Computing and Mathematics, Manchester Metropolitan University, Manchester, UK. He has 20 years of academic and industrial experience in the fields of Cyber Security, Networking, and AI. He is a senior member of IEEE, a member of several technical societies, and a distinguished speaker with more than 50 international keynote speeches. He has been awarded research funding by UKRI's Global Challenges Research Fund (GCRF), The UK Department for Science, Innovation, and Technology (DSIT), and other government bodies focussing on AI Security and Network Security. His past assignments include Lecturer with the Department of Computer Science, Edge Hill University, UK, and Research Officer with the School of Computer Science and Electronic Engineering, University of Essex, UK, where he also received his PhD degree. Prior to that, he worked in industry as a Senior Core Network Engineer at several multinational telecommunication companies. His research interests include AI security, IoT security, Mobile Computing, Cloud Computing, Ad-Hoc Networks, and Information Centric Networks.
Title: Designing Secure and Trustworthy AI for the Next Generation of Intelligent Systems

Prof. Hirozumi Yamaguchi

Osaka University, Japan

Hirozumi Yamaguchi is a full professor at The University of Osaka (Osaka University), where he leads the Mobile Computing Laboratory. He received his Ph.D. in Engineering from Osaka University in 1998. His research focuses on cyber-physical systems, mobile and pervasive computing, particularly in smart cities and smart living. He has led several national projects, including JST CREST and NICT, and serves in editorial roles for reputable journals such as Elsevier Ad Hoc Networks and Elsevier Pervasive and Mobile Computing, as well as a chair/member for major wireless and mobile IEEE conferences such as IEEE PerCom, WoWMoM, MASS, and SmartComp. He has also served as General Chair for international conferences including EAI Mobiquitous and ICDCN. He received the Minister of Education's Commendation for Science and Technology in 2018 and is an IEEE Senior Member. Since April 2024, he has also headed the Large-Scale Digital Twin Research Team at RIKEN Center for Computational Science (R-CCS) as the team principal.
Title: Modeling and Simulation of Distributed Phased-Array Communication Using Formation-Flying Small Satellites

Dr. Nguyen Minh Tuan

Posts and Telecommunications Institute of Technology, Vietnam

Nguyen Minh Tuan is a computer scientist from Ho Chi Minh City, Vietnam, currently serving at the Posts and Telecommunications Institute of Technology (PTIT). He earned his Ph.D. in Applied Mathematics and Computer Science from King Mongkut's University of Technology North Bangkok, Thailand. He also holds a Master's degree in Mathematics from the University of Science, Ho Chi Minh City, and a Bachelor's degree in Mathematics and Computer Science from Can Tho University, Vietnam. From 2012 to 2020, Dr. Tuan was a lecturer at Ho Chi Minh City University of Technology College. His research interests include intelligent computing, metaheuristic optimization, and advanced machine learning models. He is currently pursuing further academic development at FernUniversität in Hagen, Germany, focusing on hybrid optimization and computational intelligence.
Title: Interdisciplinary Research for the Digital Transformation Era: From Foundations to Applications