Prof. Saman Halgamuge
The University of Melbourne, Australia
IEEE Fellow, AAIA Fellow, Fellow of IET
Prof Saman Halgamuge, Fellow of IEEE, IET and AAIA, 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, Australia. He is also an honorary professor of Australian National University. 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). His research interests are in AI, machine learning including deep learning, optimization, big data analytics and their applications in biomedicine and engineering.
Prof. Xudong Jiang
Nanyang Technological University, Singapore
Biography: Xudong Jiangreceived the B.Eng. and M.Eng. from the University of Electronic Science and Technology of China (UESTC), and the Ph.D. degree from Helmut Schmidt University, Hamburg, Germany. From 1986 to 1993, he was a Lecturer with UESTC, where he received two Science and Technology Awards from the Ministry for Electronic Industry of China. From 1998 to 2004, he was with the Institute for Infocomm Research, A-Star, Singapore, as a Lead Scientist and the Head of the Biometrics Laboratory, where he developed a system that achieved the most efficiency and the second most accuracy at the International Fingerprint Verification Competition in 2000. He joined Nanyang Technological University (NTU), Singapore, as a Faculty Member, in 2004, and served as the Director of the Centre for Information Security from 2005 to 2011. Currently, he is a professor in NTU. Dr Jiang holds 7 patents and has authored over 150 papers with over 40 papers in the IEEE journals, including 6 papers in IEEE Transactions on Pattern Analysis and Machine Intelligence, 11 papers in IEEE Transactions on Image Processing and 17 papers in Pattern Recognition. Three of his papers have been listed as the top 1% highly cited papers in the academic field of Engineering by Essential Science Indicators. He served as IFS TC Member of the IEEE Signal Processing Society from 2015 to 2017, Associate Editor for IEEE Signal Processing Letter from 2014 to 2018, Associate Editor for IEEE Transactions on Image Processing from 2016 to 2020 and the founding editorial board member for IET Biometrics form 2012 to 2019. Dr Jiang is currently an IEEE Fellow and serves as Senior Area Editor for IEEE Transactions on Image Processing and Editor-in-Chief for IET Biometrics. His current research interests include image processing, pattern recognition, computer vision, machine learning, and biometrics.
Prof. Nikola (Nik) K. Kasabov
Life Fellow IEEE
Auckland University of Technology, New Zealand
Biography: Professor Nikola (Nik) Kirilov Kasabov (also spelled legally as Kassabov) is Life Fellow of IEEE (Institute for Electrical and Electronic Engineers), Fellow of RSNZ (Royal Society of New Zealand), Fellow of the College of Fellows of INNS (International Neural Network Society), Distinguished Visiting Fellow of the Royal Academy of Engineering UK, Fellow of the NZ IITP (Institute for IT Professionals), Fellow of the Asia-Pacific Artificial Intelligence Association. He is the Founding Director of the Knowledge Engineering and Discovery Research Institute (KEDRI) and Professor of Knowledge Engineering in the School of Engineering, Computing and Mathematical Sciences at AUT. His main interests are in the areas of: computational intelligence; neuro-computing; bioinformatics; neuroinformatics; speech and image processing; data mining; knowledge representation and knowledge discovery. He has published over 700 works, among them 320 journal papers, 10 text books, edited research books and monographs, conference papers, book chapters, edited conference proceedings, 28 patents and authorship certificates in the area of intelligent systems, neural networks, connectionist and hybrid connectionist systems, fuzzy systems, expert systems, speech and image recognition, neuroinformatics, bioinformatics, neuroengineering. He originated the first neuromorphic spatio-temporal data machine called NeuCube, implemented by his collaborators and used in the labs of 50 countries. He has also been included in the Stanford University's List of the Top 2% Scientists in the World by Citations since 2020.
Professor Kasabov served as the President of the International Neural Network Society (INNS) (2009-2010), Asia-Pacific Neural Network Assembly (APNNA) (2008), Asia Pacific Neural Networks Society (2019) (APNNS). Professor Kasabov is the Genera co- Chair of IJCNN2023, honorary chair of ICONIP2024 and a General Chair of a series of biannual international conferences on Neurocomputing and Evolving Intelligence in New Zealand. He received numerous awards, including: EU Marie Curie Fellowship (2011-2012); the INNS Ada Lovelace Meritorious Award (2019); the INNS Gabor Award (2012); The Bayer Science Innovator Award NZ (2007); The Royal Society of New Zealand Silver Medal (2001); the AUT Medal (2105); Honorary member of the Bulgarian Informatics Association AOKSIT (2018) and the Greek Computer Society (2014).
Prof. Simon X. Yang
University of Guelph, Canada
Biography: Simon X. Yang received the B.Sc. degree in engineering physics from Beijing University, Beijing, China, in 1987, the first of two M.Sc. degrees in biophysics from the Chinese Academy of Sciences, Beijing, in 1990, the second M.Sc. degree in electrical engineering from the University of Houston, Houston, TX, in 1996, and the Ph.D. degree in electrical and computer engineering from the University of Alberta, Edmonton, AB, Canada, in 1999. Dr. Yang is currently a Professor and the Head of the Advanced Robotics and Intelligent Systems Laboratory at the University of Guelph, Guelph, ON, Canada.
Prof. Yang’s research interests include robotics, intelligent systems, control systems, sensors and multi-sensor fusion, wireless sensor networks, bio-inspired intelligence, neural networks, machine learning, fuzzy systems, evolutionary computation, intelligent communications, intelligent transportation, and computational neuroscience. Prof. Yang has been very active in professional activities. He has been served as the Editor-in-Chief and Associate Editor of several journals, and has involved in the organization of many international conferences. He was on the grant review panel of NSERC, CIHR and several other grant agencies.
Prof. Daowen Qiu
Sun Yat-Sen University, China
Biography:Daowen Qiu received the M.S. degree from Jiangxi Normal University, Nachang, China, in 1993 and the Ph.D. degree from Sun Yat-Sen University, Guangzhou, China, in 2000, both in mathematics.,During 2000 and 2001, he was a Postdoctoral Researcher in computer science with Tsinghua University, Beijing, China. Since August 2002, he has been associated with Sun Yat-Sen University, and then a Full Professor of computer science in May 2004. His current research interests include quantum computing, discrete event systems, fuzzy and probabilistic computation, and he has focused on models of quantum and probabilistic computation, quantum information. He is the author or co-author of more than 160 peer-review papers published in various academic journals and conferences, including Information and Computation, Artificial Intelligence, Journal of Computer and System Sciences, Theoretical Computer Science, IEEE Transactions on Automatic Control, IEEE Transactions on Systems, Man, and Cybernetics Part B, IEEE Transactions on Fuzzy Systems, Physical Review A, Quantum Information and Computation, Journal of Physics A, and Science in China. He is an editor of the journal Theoretical Computer Science.