AIBC 2025

Keynote Speakers

 

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.

 

Plenary Speakers

 

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.

 

 

Invited Speakers

 

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.