Keynote Speakers
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. Xueying Qin
Shandong University, China
Xueying Qin is a professor at the School of Software, Shandong University. She was funded by the Shandong Provincial Natural Science Outstanding Youth Fund in 2009. From March of 2016, she visited the University of North Carolina at Chapel Hill for one year. She was an associate researcher at the State Key Laboratory of CAD&CG, Zhejiang University during Jan. of 2003 to June of 2008. Before that, she received his Ph.D. degree in engineering from Hiroshima University, Japan in Dec. 2001. Her research focuses on 3D vision and intelligent problems for achieving high quality Mixed Reality to generate realistic combination and interaction effects in dynamic scenes. The research interests include: augmented and mixed reality, 3D object tracking, object pose estimation, embodied intelligence, action recognition, illumination estimation, etc..
Invited Speaker II
Assoc. Prof. Jiyi Li
Hokkaido University, Japan
Jiyi Li received the Ph.D. degree from the Graduate School of Informatics, Kyoto University, Japan. He is currently an Associate Professor with the Graduate School of Information Science and Technology, Hokkaido University, Japan. His research interests include crowdsourcing and human computation, data mining, natural language processing, data engineering, and multimedia. He has published more than 90 papers in major international conferences and journals including AAAI, IJCAI, WWW, SIGIR, ACL, EMNLP, MM, CIKM and ICASSP. He received the 19th DBSJ Kambayashi Young Researcher Award from the Database Society of Japan.
Invited Speaker III
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 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, Meisei University. His current research interests include pattern recognition, video retrieval, character recognition, and semantic segmentation. He is currently working on the video retrieval evaluation benchmark (TRECVID) sponsored by the National Institute of Standards and Technology (NIST), 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.
Invited Speaker IV
Assoc. Prof. Muhammad Tariq Mahmood
Korea University of Technology and Education, Korea
He received the MCS degree in computer science from AJK University of Muzaffarabad, Pakistan, in 2004. After That he worked as a Software Engineer for more than 8 years at Khaksar and Co. Islamabad Pakistan. Then, in 2005, he made a significant shift in his career by leaving software development and by joining various institutes for his higher studies and research. He received the MS degree in intelligent software systems from Blekinge Institute of Technology, Sweden, in 2006 and the PhD degree in information and mechatronics from Gwangju Institute of Science and Technology, Korea, in 2011. Now, he is working as an Associate Professor at School of Computer Science and Engineering, Korea University of Technology and Education, Cheonan, Korea. His research interests include image processing, 3D shape recovery from image focus, computer vision, pattern recognition and machine/deep learning. Currently, he is working on various projects funded by National research foundation (NRF), Korea related to shape from focus/defocus, smart cities and underwater imaging.
Invited Speaker V
Prof. Narendra D. Londhe
National Institute of Technology Raipur, India
Dr. Narendra D. Londhe is presently working as Professor in the Department of Electrical Engineering of National Institute of Technology Raipur, Chhattisgarh, India. He completed his B.E. from Amravati University in 2000 followed by M.Tech. and Ph.D. from Indian Institute of Technology Roorkee in the years 2006 and 2011, respectively. He has 15 years of rich experience in academics and research. He has published more than 170 articles in recognized journals, conferences, and books. His main areas of research include medical signal and image processing, biomedical instrumentation, speech signal processing, biometrics, intelligent healthcare, brain–computer interface, artificial intelligence, and pattern recognition. He has been awarded by organizations like Taiwan Society of Ultrasound in Medicine, Ultrasonics Society of India, and NIT Raipur. He is an active member of different recognized societies from his areas of research including senior membership of IEEE.
Invited Speaker VI
Assistant Professor Dr. Guoming Wang
Zhejiang University, China
Dr. Wang is an Assistant
Professor at Zhejiang University, specializing in
multimodal intelligence, privacy-preserving machine
learning, and AI-driven healthcare applications. He
earned his Ph.D. in 2020 from Nanyang Technological
University (Singapore), where his doctoral research
focused on advanced privacy technologies, including
cryptographic protocols, differential privacy,
homomorphic encryption, and their implementation in
secure electronic medical systems.
Since joining Zhejiang University in 2020, Dr. Wang
has pioneered research in multimodal machine
learning and retrieval-augmented large language
models, with an emphasis on enhancing AI reasoning
capabilities. His academic excellence is reflected
in over 20 publications at top-tier venues such as
CVPR, AAAI, ACM Multimedia (ACM MM), COLING, and
IEEE Global Communications Conference (GLOBECOM),
and his recent recognition as an Industry Expert at
ACM MM 2024.
Translating Research into Impact:
Dr. Wang leads AI-driven medical initiatives that
bridge cutting-edge technology with clinical
practice:
*Developed an AI-powered healthcare system adopted
by 20+ hospitals.
*Designed intelligent platforms enabling 20+
physicians to advance research in disease prediction
for complex conditions including migraine,
pancreatic cancer, cardiovascular disorders,
pulmonary infections, and diabetic nephropathy
through multimodal learning.
His work exemplifies a commitment to advancing both
theoretical frontiers of machine learning and their
transformative applications in global healthcare.