Keynote Speaker I
Prof.
Saman Halgamuge (IEEE Fellow)
The University of Melbourne, Australia
Prof Saman Halgamuge, Fellow of IEEE, IET, AAIA and
NASSL received the B.Sc. Engineering degree in
Electronics and Telecommunication from the University of
Moratuwa, Sri Lanka, and the Dipl.-Ing and Ph.D. degrees
in data engineering from the Technical University of
Darmstadt, Germany. He is currently a Professor of the
Department of Mechanical Engineering of the School of
Electrical Mechanical and Infrastructure Engineering,
The University of Melbourne and the visiting Deputy Vice
Chancellor (Research and International) of SLIIT. He is
listed as a top 2% most cited researcher for AI and
Image Processing in the Stanford database. He was a
distinguished Lecturer of IEEE Computational
Intelligence Society (2018-21). He supervised 50 PhD
students and 16 postdocs on AI and applications in
Australia to completion. His research is funded by
Australian Research Council, National Health and Medical
Research Council, US DoD Biomedical Research program and
international industry. His previous leadership roles
include Head, School of Engineering at Australian
National University and Associate Dean of the
Engineering and IT Faculty of University of Melbourne.
His publications can be viewed at
https://scholar.google.com.au/citations?hl=en&user=9cafqywAAAAJ&pagesize=80&view_op=list_works&sortby=pubdate
Keynote Speaker II
Prof. Tomoaki Otsuki
Keio University, Japan
Tomoaki Otsuki (Ohtsuki) is a Professor at Keio
University. Prof. Ohtsuki is a recipient of the 1997 Inoue Research
Award for Young Scientist, the 1997 Hiroshi Ando Memorial Young
Engineering Award, Ericsson Young Scientist Award 2000, 2002 Funai
Information and Science Award for Young Scientist, IEEE the 1st
Asia-Pacific Young Researcher Award 2001, the 5th International
Communication Foundation (ICF) Research Award, 2011 IEEE SPCE
Outstanding Service Award, the 27th TELECOM System Technology Award,
ETRI Journal’s 2012 Best Reviewer Award, 9th International
Conference on Communications and Networking in China 2014 (CHINACOM
’14) Best Paper Award, 2020 Yagami Award, and The 26th Asia-Pacific
Conference on Communications (APCC2021) Best Paper Award. He has
published more than 271 journal papers and 500 international
conference papers.
He served as a Chair of IEEE Communications Society, Signal
Processing for Communications and Electronics Technical Committee.
He served as a technical editor of the IEEE Wireless Communications
Magazine and an editor of Elsevier Physical Communications. He is
now serving as an Area Editor of the IEEE Transactions on Vehicular
Technology and an editor of the IEEE Communications Surveys and
Tutorials. He is also serving as the IEEE Communications Society,
Asia Pacific Board Director. He has served as general-co chair,
symposium co-chair, and TPC co-chair of many conferences, including
IEEE GLOBECOM and ICC. He was Vice President and President of the
Communications Society of the IEICE and a distinguished lecturer of
the IEEE. He is a fellow of the IEICE, a senior member of IEEE, and
a member of the Engineering Academy of Japan.
Keynote Speaker III
Prof. Weinan Gao
Northeastern University, Shenyang, China
Weinan Gao received the Ph.D. degree in Electrical
Engineering from New York University, Brooklyn, NY, USA. He is a
Professor with the State Key Laboratory of Synthetical Automation
for Process Industries at Northeastern University, Shenyang, China.
Previously, he was an Assistant Professor of Mechanical and Civil
Engineering at Florida Institute of Technology, Melbourne, FL, USA,
an Assistant Professor of Electrical and Computer Engineering at
Georgia Southern University, Statesboro, GA, USA, and a Visiting
Professor of Mitsubishi Electric Research Laboratory (MERL),
Cambridge, MA, USA. His research interests include reinforcement
learning, adaptive dynamic programming (ADP), optimal control,
cooperative adaptive cruise control (CACC), intelligent
transportation systems, sampled-data control systems, and output
regulation theory. Prof. Gao is the recipient of the best paper
award in IEEE Data Driven Control and Learning Systems (DDCLS)
Conference in 2023, IEEE International Conference on Real-time
Computing and Robotics (RCAR) in 2018 and the David Goodman Research
Award at New York University in 2019. He is an Associate Editor of
IEEE Transactions on Neural Networks and Learning Systems, IEEE/CAA
Journal of Automatica Sinica, Control Engineering Practice,
Neurocomputing and IEEE Transactions on Circuits and Systems II:
Express Briefs, a member of Editorial Board of Neural Computing and
Applications, and a Technical Committee member in IEEE Control
Systems Society on Nonlinear Systems and Control, IFAC TC 1.2
Adaptive and Learning Systems, and CAAI Industrial Artificial
Intelligence.
Prof. MALKA N. HALGAMUGE
RMIT UNIVERSITY, MELBOURNE, AUSTRALIA
Dr Malka N. Halgamuge is a Senior Lecturer in Cybersecurity at RMIT University, Melbourne, Australia. She is the Chair of the IEEE Computational Intelligence Society, Victorian Section. From 2007-2021, Malka worked as a Researcher at the Department of Electrical and Electronic Engineering at the University of Melbourne. She obtained her PhD in the same department. She was awarded prestigious fellowships to work at the University of California, Los Angeles, Lund University, Sweden, and the Chinese Academy of Sciences (CAS), Beijing, among others. Malka was the Keynote Speaker, Plenary Speaker, Associate Editor, Editorial Board Member, and IEEE Senior Member. She was the Program Co-Chair, Track Chair, Publication Chair, Advisory Chair, Publicity Co-Chair, Session Chair, Guest Editor, and a Member of the TPC for 300 international conferences. She has presented 60 invited/guest lectures in academia (e.g., Oxford University, Ohio State University), industry (e.g., IBM, KPMG East Africa, AISA), and at 10 IEEE sections. Malka has conducted 18 media interviews, articles, radio interviews, and TV interviews (ABC News). She is passionate about research in IoTs, Data Communications, Cyber Security, Blockchain, Machine & Deep Learning, and security in Large Language Models. She has co-supervised 4 PhD students to completion at the University of Melbourne and currently supervises 5 PhD students at RMIT University as the principal supervisor. Malka has been a chief investigator for multiple grants totalling over $1 million and has over 100 peer-reviewed publications in scientific journals and conference proceedings.
Prof. Athakorn Kengpol
King Mongkut’s University of Technology North Bangkok, Thailand
Dr. Athakorn Kengpol is Professor of Industrial Engineering at the Faculty of Engineering, King Mongkut’s University of Technology North Bangkok, Thailand. He received his PhD in Manufacturing Engineering and Operations Management from The University of Nottingham, UK. He obtained his Post-doctoral Research at University of Innsbruck, Austria and at Lappeenranta University of Technology, Finland. His research interests include Artificial Intelligence, Machine/Deep Learning, Decision Support Systems in Industry 4.0, management information systems and packaging design. His National Awards are, for example, National Outstanding Lecturer, National Outstanding Government Officer etc. His International Awards are, for example, Medal from International Exhibition of Geneva, Switzerland, and Industry Solutions Award from IEOM Society International, USA. He conducted and published research about Machine Learning and Deep Learning in a number of reputable journals, for example, International Journal of Production Economics, International Journal of Production Research, Expert Systems with Applications, Computers and Industrial Engineering etc. He also participated in MSIE-CBHE Erasmus+ Curriculum Development of Master’s Degree Program in Industrial Engineering for Thailand Sustainable Smart Industry (MSIE4.0) funded by the European Commission, and ReCap 4.0 that is proposed to enhance the capacity and ability of the non-university sector at the tertiary level in Thailand for the effective delivery of engineering and technology knowledge and skills related to Industry 4.0 to support Thailand Sustainable Smart Industry.
Assist Prof. Damiano Di Francesco Maesa
University of Pisa, Italy
Damiano Di Francesco Maesa is Assistant professor at the department of computer science of the University of Pisa, Italy. His past positions include College Research Associate at Clare College of the university of Cambridge, Research Associate at the Innovation and Intellectual Property Management Laboratory of the University of Cambridge, Research Associate at the Computer Lab of the University of Cambridge, Research Associate at King's college London, and Research Assistant at the National Research Institute in Pisa, Italy. He has a PhD in Computer Science from the University of Pisa and specializes in the analysis and study of novel applications of blockchain and Distributed Ledger Technologies (DLT). Beside his academic contributions, he has held several guest lectures, seminars, and workshops to spread awareness on blockchain technology.
Dr. Ching-Chun Chang
National Institute of Informatics, Japan
Dr. Ching-Chun Chang received his PhD in Computer Science from the University of Warwick, UK, in 2019. He participated in a short-term scientific mission supported by European Cooperation in Science and Technology Actions at the Faculty of Computer Science, Otto-von-Guericke-Universität Magdeburg, Germany, in 2016. He was granted the Marie-Curie fellowship and participated in a research and innovation staff exchange scheme supported by Marie Skłodowska-Curie Actions at the Department of Electrical and Computer Engineering, New Jersey Institute of Technology, USA, in 2017. He was a Visiting Scholar with the School of Computer and Mathematics, Charles Sturt University, Australia, in 2018, and with the School of Information Technology, Deakin University, Australia, in 2019. He was a Research Fellow with the Department of Electronic Engineering, Tsinghua University, China, in 2020. He is currently a researcher with the National Institute of Informatics, Japan. His research interests include steganography, forensics, biometrics, cybersecurity, computer vision, computational linguistics and artificial intelligence.
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