Keynote Speaker I
Prof. Chin-Chen Chang (IEEE Fellow)
Feng Chia University, Taiwan
Professor Chang has worked on many different topics in information security, cryptography, multimedia image processing and published several hundreds of papers in international conferences and journals and over 30 books. He was cited over 40,340 times and has an h-factor of 93 according to Google Scholar. Several well-known concepts and algorithms were adopted in textbooks. He also worked with the National Science Council, Ministry of Technology, Ministry of Education, Ministry of Transportation, Ministry of Economic Affairs and other Government agencies on more than 100 projects and holds 17 patents, including one in US and two in China. He served as Honorary Professor, Consulting Professor, Distinguished Professor, Guest Professor at over 50 academic institutions and received Distinguished Alumni Award's from his Alma Master's. He also served as Editor or Chair of several international journals and conferences and had given almost a thousand invited talks at institutions including Chinese Academy of Sciences, Academia Sinica, Tokyo University, Kyoto University, National University of Singapore, Nanyang Technological University, The University of Hong Kong, National Taiwan University and Peking University. Professor Chang has mentored 7 postdoctoral, 64 PhD students and 197 master students, most of whom hold academic positions at major national or international universities. He has been the Editor-in-Chief of Information Education, a magazine that aims at providing educational materials for middle-school teachers in computer science. He is a leader in the field of information security of Taiwan. He founded the Chinese Cryptography and Information Security Association, accelerating information security the application and development and consulting on the government policy. He is also the recipient of several awards, including the Top Citation Award from Pattern Recognition Letters, Outstanding Scholar Award from Journal of Systems and Software, and Ten Outstanding Young Men Award of Taiwan. He was elected as a Fellow of IEEE in 1998, a Fellow of IET in 2000, a Fellow of CS in 2020, and an AAIA Fellow in 2021 for his contribution in the area of information security.
Keynote Speaker II
Prof. Nikola Kasabov (IEEE Fellow)
Auckland University of Technology, New Zealand
Professor Nikola Kasabov is Life Fellow of IEEE, Fellow of the Royal Society of New Zealand, Fellow of the INNS College of Fellows, DVF of the Royal Academy of Engineering UK. He is the Founding Director of the Knowledge Engineering and Discovery Research Institute (KEDRI), Auckland and Professor at the School of Engineering, Computing and Mathematical Sciences at Auckland University of Technology, New Zealand. He is also George Moore Chair Professor of Data Analytics at the University of Ulster UK, Honorary Professor at the Teesside University UK and the University of Auckland NZ, Visiting Professor at the Bulgarian Academy of Sciences. Kasabov is Past President of the Asia Pacific Neural Network Society (APNNS) and the International Neural Network Society (INNS). He has been a chair and a member of several technical committees of IEEE Computational Intelligence Society and Distinguished Lecturer of IEEE (2012-2014). He is Editor of Springer Handbook of Bio-Neuroinformatics, EIC of Springer Series of Bio-and Neuro-systems and co-EIC of the Springer journal Evolving Systems. He is Associate Editor of several journals, including Neural Networks, IEEE TrNN, Tr CDS, Information Sciences, Applied Soft Computing. Kasabov holds MSc and PhD from TU Sofia, Bulgaria. His main research interests are in the areas of neural networks, intelligent information systems, soft computing, bioinformatics, neuroinformatics. He has published more than 680 publications, highly cited internationally. He has extensive academic experience at various academic and research organisations in Europe and Asia, including: TU Sofia Bulgaria; University of Essex UK; University of Otago, NZ; Advisory Professor at Shanghai Jiao Tong University and CASIA China; Visiting Professor at ETH/University of Zurich and Robert Gordon University UK; Visiting Scholar at University of Dalian, China. Kasabov has received a number of awards, among them: Doctor Honoris Causafrom Obuda University, Budapest; INNS Ada Lovelace Meritorious Service Award; NN Best Paper Award for 2016; APNNA ‘Outstanding Achievements Award’; INNS Gabor Award for ‘Outstanding contributions to engineering applications of neural networks’; EU Marie Curie Fellowship; Bayer Science Innovation Award; APNNA Excellent Service Award; RSNZ Science and Technology Medal; 2015 AUT Medal; Honorary Member of the Bulgarian, the Greek and the Scottish Societies for Computer Science (https://academics.aut.ac.nz/nkasabov).
Invited Speaker I
Prof. Linlin Shen
Shenzhen university, China
Professor Linlin Shen received the BSc and MEng degrees
from Shanghai JiaoTong University, Shanghai, China, and
the Ph.D. degree from the University of Nottingham,
Nottingham, UK. He was a Research Fellow with the
University of Nottingham, working on MRI brain image
processing. Prof. Shen is currently the “Pengcheng
Scholar” Distinguished Professor at School of Computer
Science and Software Engineering, Shenzhen University,
Shenzhen, China. He is also an Honorary professor at
School of Computer Science, University of Nottingham, UK
and Visiting Professor at School of Computer Science,
University of Nottingham, Ningbo, and Wenzhou-Kean
University, Wenzhou, China. He serves as the director of
Computer Vision Institute, AI Research Center for
Medical Image Analysis and Diagnosis and China-UK joint
research lab for visual information processing. He also
serves as the Co-Editor-in-Chief of the IET journal of
Cognitive Computation and Systems, and Associate Editor
of the journal of Expert Systems with Applications.
He is listed as the “Most Cited Chinese Researchers” by Elsevier, and listed in a ranking of the “Top 2% Scientists in the World” by Stanford University. He received the Most Cited Paper Award from the journal of Image and Vision Computing. His cell classification algorithms were the winners of the International Contest on Pattern Recognition Techniques for Indirect Immunofluorescence Images held by ICIP 2013 and ICPR 2016.
Invited Speaker II
Assoc. Prof. Kazuya Ueki
Meisei University, Japan
He received a B.S. in Information Engineering in 1997, and an M.S. in the Department of Computer and Mathematical Sciences in 1999, both from Tohoku University, Sendai, Japan. In 1999, he joined NEC Soft, Ltd, Tokyo, Japan. He was mainly engaged in research on face recognition. In 2007, he received a Ph.D. from the Graduate School of Science and Engineering, Waseda University, Tokyo, Japan. In 2013, he became an assistant professor at Waseda University. He is currently an associate professor in the School of Information Science at Meisei University. His current research interests include pattern recognition, video retrieval, character recognition, human action recognition, and anomaly detection. He is researching the video retrieval evaluation benchmark (TREVID) sponsored by the National Institute of Standards and Technology (NIST) and is contributing to the development of video retrieval technology. In 2016, 2017, and 2022, his submitted systems achieved the highest performance in the TRECVID AVS task.