Keynote Speakers

Keynote Speakers of ICNGN 2024 (Alphabetize by Last Name)

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
Abstract: The Internet has become the backbone of our society, transforming from a mere carrier of information to becoming the source of information, applications, and services. Quantum computing, which has been receiving significant limelight recently, promises capabilities that can solve computationally complex problems previously unachievable by classical computers. While data transfer between quantum computers can be achieved using quantum communications, quantum networking is critical to maximize the capabilities of quantum computing, similar to how the Internet transformed society and the way we used computers. Unlike classical computers that encode information using distinct “0” and “1” values, called bits, the quantum equivalent, qubit (or quantum bit), can be a superposition of “0” and “1”, with a unique property that it cannot be copied or done without being detected, making it highly suitable for security applications, e.g. quantum key distribution, secure access to remote quantum computers, etc. Conversely, inability to copy qubits also makes it impossible to use existing communication techniques, like repetition or signal amplification, making it a monumental challenge to transmit over long distances, motivating the development of new technologies, like quantum repeaters. The quantum internet is governed by the laws of physics and possesses no analogy in the classical networks. This talk will discuss the ongoing research on quantum communications and networking, touching on how designing quantum internet protocols requires a major paradigm shift and imposes new challenges to network design.

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
Abstract: Border Gateway Protocol (BGP) enables the Internet data routing. BGP anomalies may affect the Internet connectivity and cause routing disconnections, route flaps, and oscillations. Hence, detection of anomalous BGP routing dynamics is a topic of great interest in cybersecurity. Various anomaly and intrusion detection approaches based on machine learning have been employed to analyze BGP update messages collected from RIPE and Route Views collection sites. Survey of supervised and semi-supervised machine learning algorithms for detecting BGP anomalies and intrusions is presented. Deep learning, broad learning, gradient boosting decision tree, and reservoir computing algorithms are evaluated by developing models based on collected datasets that contain Internet worms, power outages, and ransomware events.

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

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