2024 7th International Symposium on Big Data and Applied Statistics (ISBDAS 2024)

Speakers

SPEAKERS


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Prof. Saman Halgamuge

IEEE&AAIA&IET Fellow

The University of Melbourne, Australia



Biography:

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.




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Prof. Xudong Jiang

IEEE Fellow

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.




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Prof. Nikola (Nik) K. Kasabov

IEEE Fellow

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.




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Prof. Dongrui Wu

IEEE Fellow

Huazhong University of Science andTechnology, China

Biography:

Prof. Wu's research interests include affective computing, brain-computer interface, computational intelligence, and machine learning. He is an Associate Editor of the IEEE Transactions on Fuzzy Systems (2011-2018; 2020-), the IEEE Transactions on Human-Machine Systems (since 2014), the IEEE Computational Intelligence Magazine (since 2017), and the IEEE Transactions on Neural Systems and Rehabilitation Engineering (since 2019). He was the lead Guest Editor of the IEEE Computational Intelligence Magazine Special Issue on Computational Intelligence and Affective Computing, and the IEEE Transactions on Fuzzy Systems Special Issue on Brain Computer Interface. He is a Senior Member of the IEEE, a Board member and Distinguished Speaker of the NAFIPS, and a member of IEEE Systems, Man and Cybernetics Society Brain-Machine Interface Systems Technical Committee, IEEE CIS Fuzzy Systems Technical Committee, Emergent Technologies Technical Committee, and Intelligent Systems Applications Technical Committee. He has been Chair/Vice Chair of the IEEE CIS Affective Computing Task Force since 2012.




Inviting & Updating