History

ICNGN 2024

Bangkok, Thailand | November 23-25, 2024

Welcome you to the 3rd International Conference on Intelligent Computing and Next Generation Networks (ICNGN 2024), which was held successfully in Bangkok, Thailand from November 23-25, 2024. 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 2024 was listed on the official website of IEEE with the ID 63705: https://conferences.ieee.org/conferences_events/conferences/conferencedetails/63705 and listed on the offcial website of IEEE Communications Society: https://www.comsoc.org/conferences-events/international-conference-intelligent-computing-and-next-generation-networks-2024. 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 2024 a truly memorable and productive event. 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. Kin K. Leung, Imperial College, London, UK
Prof. Mohamed-Slim Alouini, King Abdullah University of Science and Technology (KAUST), Saudi Arabia
Prof. Sinem Coleri, Koc University, Turkey
Prof. Wanyang Dai, Nanjing University, China
Prof. Zhu Han, University of Houston, USA
Prof. Winston K.G. Seah, Victoria University of Wellington, New Zealand
Prof. Ljiljana Trajkovic, Simon Fraser University, Canada
Prof. Huafeng Wu, Shanghai Maritime University, China
Prof. Ming Xie, Nanyang Technological University, Singapore
Dr. Riccardo Bassoli, Technische Universität Dresden, Germany
Dr. Muhammad Asif Khan, Qatar Mobility Innovations Center, Qatar
Assoc. Prof. Tao Li, Tohoku University, Japan
Assoc. Prof. Dr. Wael Yafooz, Taibah University, Saudi Arabia
Dr. Paikun Zhu, National Institute of Information and Communications Technology (NICT), Japan

Appreciated so much for their contributions and willing to share their new research developments in ICNGN.
ICNGN 2024 has been successfully held online via zoom and
in-person in Bangkok, Thailand during November 23-25, 2024.
For more information about ICNGN 2024, please click here.


OUR SPEAKERS

Prof. Kin K. Leung

Imperial College, UK
IEEE Fellow, IET Fellow


Kin K. Leung received his B.S. degree from the Chinese University of Hong Kong, and his M.S. and Ph.D. degrees from University of California, Los Angeles. He joined AT&T Bell Labs in New Jersey in 1986 and worked at its successor companies until 2004. Since then, he has been the Tanaka Chair Professor in the Electrical and Electronic Engineering (EEE), and Computing Departments at Imperial College in London. He serves as the Head of Communications and Signal Processing Group in the EEE Department at Imperial. His current research focuses on optimization and machine-learning techniques for system design and control of large-scale communications, computer and sensor networks. He also works on multi-antenna and cross-layer designs for wireless networks.
He is a Fellow of the Royal Academy of Engineering (2022), IEEE Fellow (2001), IET Fellow (2022), and member of Academia Europaea (2012). He received the Distinguished Member of Technical Staff Award from AT&T Bell Labs (1994) and the Royal Society Wolfson Research Merits Award (2004-09). Jointly with his collaborators, he received the IEEE Communications Society (ComSoc) Leonard G. Abraham Prize (2021), the IEEE ComSoc Best Survey Paper Award (2022), the U.S.–UK Science and Technology Stocktake Award (2021), the Lanchester Prize Honorable Mention Award (1997), and several best conference paper awards. He currently serves as the IEEE ComSoc Distinguished Lecturer (2022-23). He was a member (2009-11) and the chairman (2012-15) of the IEEE Fellow Evaluation Committee for the ComSoc. He has served as guest editor and editor for 10 IEEE and ACM journals and chaired the Steering Committee for the IEEE Transactions on Mobile Computing. Currently, he is an editor for the ACM Computing Survey and International Journal on Sensor Networks.
Title: Communication Networks: From Stochastic Models, to Optimization to Machine Learning

Prof. Mohamed-Slim Alouini

King Abdullah University of Science and Technology (KAUST), Saudi Arabia
IEEE Fellow


Mohamed-Slim Alouini was born in Tunis, Tunisia. He received the Ph.D. degree in Electrical Engineering from the California Institute of Technology (Caltech) in 1998. He served as a faculty member at the University of Minnesota then in the Texas A&M University at Qatar before joining in 2009 the King Abdullah University of Science and Technology (KAUST) where he is now the Al-Khawarizmi Distinguished Professor of Electrical and Computer Engineering. Prof. Alouini is a Fellow of the IEEE and OPTICA (Formerly the Optical Society of America (OSA)). He is currently particularly interested in addressing the technical challenges associated with the uneven distribution, access to, and use of information and communication technologies in rural, low-income, disaster, and/or hard-to-reach areas.
Title: Towards Connecting the Remaining 3+ Billion

Prof. Sinem Coleri

Koc University, Turkey
IEEE Fellow


Sinem Coleri is a Professor and the Chair of the Department of Electrical and Electronics Engineering at Koc University. She is also the founding director of Wireless Networks Laboratory (WNL) and director of Ford Otosan Automotive Technologies Laboratory. She received the BS degree in electrical and electronics engineering from Bilkent University in 2000, the M.S. and Ph.D. degrees in electrical engineering and computer sciences from University of California Berkeley in 2002 and 2005. She worked as a research scientist in Wireless Sensor Networks Berkeley Lab under sponsorship of Pirelli and Telecom Italia from 2006 to 2009. Since September 2009, she has been a faculty member in the department of Electrical and Electronics Engineering at Koc University. Her research interests are in 6G wireless communications and networking, machine learning for wireless networks, machine-to-machine communications, wireless networked control systems and vehicular networks. Dr. Coleri has more than 150 publications with citations over 10700 (Google scholar profile). She has received numerous awards and recognitions, including N2Women: Stars in Computer Networking and Communications in 2022; TUBITAK (The Scientific and Technological Research Council of Turkey) Incentive Award and IEEE Vehicular Technology Society Neal Shepherd Memorial Best Propagation Paper Award in 2020. She currently holds the position of Editor-in-Chief at the IEEE Open Journal of the Communications Society. Dr. Coleri is an IEEE Fellow and IEEE ComSoc Distinguished Lecturer.
Title: AI Based Ultra-Reliable Wireless Networked Control Systems in 6G

Prof. Wanyang Dai

Nanjing University, China


Wanyang Dai is a Distinguished Professor in Mathematics Department of Nanjing University, Chief Scientist at Su Xia Control Technology, President and CEO of U.S. based (blochchain and quantum computing) SIR Forum (Industial 6.0 Forum), a Special Guest Expert in Jiangsu FinTech Research Center, President of Jiangsu Probability & Statistics Society, Chairman of Jiangsu Big Data-Blockchain and Smart Information Special Committee, Chief Scientist at Depths Digital Economy Research Institute, and Editor-in-Chief of Journal of Advances in Applied Mathematics, where his research includes stochastic processes related optimization and optimal control, admission/scheduling/routing protocols and performance analysis/optimization for various projects in BigData-Blockchain oriented quantum-cloud computing and the next generation of wireless and wireline communication systems, forward/backward stochastic (ordinary/partial) differential equations and their applications to queueing systems, stochastic differential games, communication networks, Internet of Things, financial engineering, energy and power engineering, etc. His “influential” achievements are published in “big name” journals including Quantum Information Processing, Operational Research, Operations Research, Computers & Mathematics with Applications, Communications in Mathematical Sciences, Journal of Computational and Applied Mathematics, Queueing Systems, Mathematical and Computer Modeling of Dynamical Systems, etc. His researches are awarded as outstanding papers by various academic societies, e.g., IEEE Top Conference Series, etc.. He received his Ph.D degree in applied mathematics jointly with industrial engineering and systems engineering from Georgia Institute of Technology, Atlanta, GA, U.S.A., in 1996, where he worked on stochastics and applied probability concerning network performance modeling and analysis, algorithm design and implementation via stochastic diffusion approximation. The breakthrough results and methodologies developed in his thesis were cited, used, and claimed as “contemporaneous and independent” achievements by some other subsequent breakthrough papers that were presented as “45 minute invited talk in probability and statistics” in International Congress of Mathematicians (ICM) 1998, which is the most privilege honor in the mathematical society. The designed finite element-Galerkin algorithm to compute the stationary distributions of reflecting Brownian motions (weak solutions of general dimensional partial differential equations) is also well-known to the related fields.
Title: Quantum transformer with reference model and feedback control for 6G/IoT and metaverse minded robot

Prof. Zhu Han

University of Houston, USA
IEEE Fellow, AAAS Fellow


Zhu Han received the B.S. degree in electronic engineering from Tsinghua University, in 1997, and the M.S. and Ph.D. degrees in electrical and computer engineering from the University of Maryland, College Park, in 1999 and 2003, respectively. From 2000 to 2002, he was an R&D Engineer of JDSU, Germantown, Maryland. From 2003 to 2006, he was a Research Associate at the University of Maryland. From 2006 to 2008, he was an assistant professor at Boise State University, Idaho. Currently, he is a John and Rebecca Moores Professor in the Electrical and Computer Engineering Department as well as the Computer Science Department at the University of Houston, Texas. Dr. Han is an NSF CAREER award recipient of 2010, and the winner of the 2021 IEEE Kiyo Tomiyasu Award. He has been an IEEE fellow since 2014, an AAAS fellow since 2020, an IEEE Distinguished Lecturer from 2015 to 2018, and an ACM Distinguished Speaker from 2022-2025. Dr. Han is also a 1% highly cited researcher since 2017.
Title: Federated Learning and Analysis with Muti-access Edge Computing

Prof. Winston K.G. Seah

Victoria University of Wellington, New Zealand


Winston K.G. Seah specializes in algorithm and protocol design for networks in challenged conditions and extreme environments, such as, embedded systems with severe resource constraints, highly mobile networks, electromagnetic nanoscale networks and underwater networks. With the Internet of Things as the overarching application domain, his latest research includes algorithms and protocols for quantum internet, massive machine-type communications and ultra-reliable low-latency communications, as well as, novel approaches for network anomaly detection using artificial intelligence and machine learning techniques. Winston received the Dr.Eng. degree from Kyoto University, Kyoto, Japan, in 1997, and ME and BSc degrees from the National University of Singapore in 1993 and 1987 respectively. In 2009, he joined Victoria University of Wellington, New Zealand, as Professor of Network Engineering. Prior to this, he has worked for more than 16 years in mission-oriented industrial research, taking ideas from theory to prototypes, most recently, as a Senior Scientist (Networking Protocols) in the Institute for Infocomm Research (I2R), Singapore. Winston strongly believes that research goes far beyond publishing papers and strives to solve challenging real-world problems using unconventional and innovative approaches.
Title: Quantum Internet

Prof. Ljiljana Trajkovic

Simon Fraser University, Canada
IEEE Fellow


Ljiljana Trajkovic received the Dipl. Ing. degree from University of Pristina, Yugoslavia, the M.Sc. degrees in electrical engineering and computer engineering from Syracuse University, Syracuse, NY, and the Ph.D. degree in electrical engineering from University of California at Los Angeles. She is currently a professor in the School of Engineering Science, Simon Fraser University, Burnaby, British Columbia, Canada. Her research interests include communication networks and dynamical systems. She served as IEEE Division X Delegate/Director, President of the IEEE Systems, Man, and Cybernetics Society, and President of the IEEE Circuits and Systems Society. Dr. Trajkovic serves as Editor-in-Chief of the IEEE Transactions on Human-Machine Systems and Associate Editor-in-Chief of the IEEE Open Journal of Systems Engineering. She served as a Distinguished Lecturer of the IEEE Circuits and System Society and a Distinguished Lecturer of the IEEE Systems, Man, and Cybernetics Society. She is a Fellow of the IEEE.
Title: Machine Learning for Detecting Internet Traffic Anomalies

Prof. Huafeng Wu

Shanghai Maritime University, China


Dr. Huafeng Wu is a Professor at Shanghai Maritime University and leads the Shanghai Key Innovative Research Group focused on intelligent marine technology and systems. He has authored over 100 technical publications, holds 20 national and international patents, and has contributed to three book chapters. Dr. Wu is a Senior Member of IEEE, Vice President of the Shanghai Electronics Society, and Vice Dean of the Graduate School at Shanghai Maritime University. Dr. Wu serves on the editorial boards of Computer Communications and Cyber-Physical Systems and is a Guest Editor for the Journal of Marine Science and Engineering. As the principal investigator, he leads projects funded by the General and Key Program of the National Natural Science Foundation of China, the National Key R&D Program of China, the "Shuguang Program" talent project of Shanghai, and the Key Program of the Shanghai Science and Technology Commission, among others. His contributions to the field have been recognized with the Youth Science and Technology Award from the China Institution of Navigation, the Second Prize of the Science and Technology Progress Award from Shanghai, and the Second Prize of the Science and Technology Progress Award from the China Institution of Navigation.
Title: Sensing-Recognitio-Communication-Navigation for Next-Generation Maritime Navigation System

Assoc. 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: Key Steps Toward Development of Humanoid Robots

Dr. Riccardo Bassoli

Technische Universität Dresden, Germany


Riccardo Bassoli is a Junior professor (US Assistant Professor, UK Lecturer) at the Deutsche Telekom Chair of Communication Networks and Head of the Quantum Communication Networks Research Group, at the Faculty of Electrical and Computer Engineering, at Technische Universitat Dresden. He is also “ member of the Centre for Tactile Internet with Human-in-the-loop (CeTI), Cluster of Excellence, Dresden. He got his Ph.D. from 5G Innovation Centre at University of Surrey (UK), in 2016. Between 2016 and 2019, he was postdoctoral researcher at Università di Trento (Italy). He is IEEE and ComSoc member. He is also member of Glue Technologies for Space Systems Technical Panel of IEEE AESS. His research interests include: quantum communication networks and their integration with 6G and the Tactile Internet, 6G three-dimensional networking, network virtualization, and low-latency resilient communications.
Title: Can quantum computing play a role in 6G?

Dr. Muhammad Asif Khan

Qatar Mobility Innovations Center, Qatar


Muhammad Asif Khan (SMIEEE) is a Research Scientist at Qatar Mobility Innovations Center (QMIC). He received a Ph.D. degree in Electrical Engineering from Qatar University (2020), an M.Sc. degree in Telecommunication Engineering from the University of Engineering and Technology Taxila, Pakistan (2013), and a B.Sc. degree in Telecommunication Engineering from the University of Engineering and Technology Peshawar, Pakistan (2009). He also serves/served as an associate editor (AE) of the IEEE Technology Policy and Ethics newsletter and guest editor at Frontiers in Communications and Networks. He also serves on the review panel of high-impact IEEE transactions and journals. He has also served/serving as a TPC member of major IEEE conferences including IEEE ICC, IEEE CCNC, IEEE SusTech, IEEE BigData, IEEE Sensors, IEEE ICASSP, etc. He has published more than 40 peer-reviewed articles in high-impact journals and international conferences. He is a Senior Member of the IEEE and a Member of IET. He is a chartered engineer (CEng) with the Engineering Council (EC-UK). His current research focuses on edge intelligence, distributed ML, computer vision, and cybersecurity.
Title: Intelligent Edge for 6G and Massive IoT Systems

Assoc. Prof. Tao Li

Tohoku University, Japan


Tao Li received his Ph.D. in Navigation, Guidance, and Control from Harbin Engineering University, China, in 2016. From 2013 to 2015, he was a Visiting Ph.D. Student at the University of Calgary, Canada. He then worked as an Academic Researcher at the Institute of Innovative Science and Technology, Tokai University, Japan, from 2016 to 2018. From 2018 to 2020, he was part of the Japan Science and Technology Agency’s Open Innovation Platform project at Tohoku University. He is currently an Associate Professor at the Center for Innovative Integrated Electronic Systems, Tohoku University, and a member of the Cross-Ministerial Strategic Innovation Promotion Program. His research focuses on non-volatile brainware processors, digital signal processing, and inertial navigation systems.
Title: Bridging Artificial Intelligence and Non-volatile Devices for Energy-efficient Edge Computing

Assoc. Prof. Dr. Wael Yafooz

Taibah University, Saudi Arabia


Dr. Wael Yafooz is an associate professor in the Computer Science Department, Taibah University (TU), Saudi Arabia. He has received his PhD in Computer Science in 2014 from University of MARA Technology (UiTM)- Malaysia with research Excellence award with graduate of time status and also an M.S degree in Computer Science with distinction status in 2010 from UiTM. He was hired as a postdoctoral research fellow in the same university. He has more than 15 years of academic experience in teaching, research and leadership roles in other higher education institutions. He served at Al-Madinah international university (MEDIU), Malaysia. He headed the computer science department, deputy dean, and college dean at MEDIU, and served as chair/member of multiple committees at university level. He published approximately 90 research papers in internationally recognized conferences and indexed journals (Scopus and ISI) with high impact factors. He supervised number a of students at PhD and master levels. He served as a member of various committees in many international conferences. Additionally, he chaired IEEE international conferences in Malaysia and China. Furthermore, He delivered and conducted several workshops and presented numerous practical courses in the research area of data management, visualization and curriculum design. He was invited as a speaker in many international conferences held in Bangladesh, Thailand, India, China, Japan and Russia. His research interest includes, Data Mining, Machine Learning, Deep Learning, Natural Language Processing, Social Network Analytics and Data Management. He is the editor of springer books. He acquired multiple research grants.
Title: Enhancing Social Media Analysis with Large Language Models

Dr. Paikun Zhu

National Institute of Information and Communications Technology (NICT), Japan


Paikun Zhu is a Researcher of the National Institute of Information and Communications Technology (NICT), Japan. He has had over 80 IEEE/OSA publications, including multiple invited ones. He received the Chairman’s Award of the IEICE Technical Committee on Communication Systems in 2021, and URSI Young Scientist Award in 2024. He is a Program Committee Member of IEEE ACP2020 & 2024 conferences and an invited speaker of OFC2023 conference. His research interests include optical communication systems/networks, 6G and FPGA.
Title: Advanced optical-layer technologies for next-generation access networks




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