 | Prof. João GamaUniversity of Porto, Portugal (IEEE Fellow, EurIA Fellow) Introduction: Prof. João Gama is a Full Professor at the School of Economics, University of Porto, Portugal. He received his Ph.D. in Computer Science from the University of Porto in 2000. He is EurIA Fellow, IEEE Fellow, Fellow of the Asia-Pacific AI Association, and member of the board of directors of the LIAAD, a group belonging to INESC TEC. His h-index on Google Scholar is 67. He is an Editor of several top-level Machine Learning and Data Mining journals. He is ACM Distinguish Speaker. He served as Program Chair of ECMLPKDD 2005, DS09, ADMA09, EPIA 2017, DSAA 2017, served as Conference Chair of IDA 2011, ECMLPKDD 2015, DSAA'2021, and a series of Workshops on KDDS and Knowledge Discovery from Sensor Data with ACM SIGKDD, and ACM SIGAPP. His main research interests are in knowledge discovery from data streams, evolving data, probabilistic reasoning, and causality. He published more than 300 reviewed papers in journals and major conferences. He has an extensive list of publications in data stream learning. |
 | Prof. Francesco PiccialliUniversity of Naples Federico II, Italy Introduction: Francesco Piccialli is currently Full Professor of Computer Science and Artificial Intelligence at the Department of Mathematics and Applications "R. Caccioppoli" (DMA), University of Naples Federico II (UNINA), Italy. He received a Laurea Degree (BSc+MSc) in Computer Science and the Ph.D. in Computational and Computer sciences at the University of Naples Federico II. He is the head and co-founder of the M.O.D.A.L. research group that is engaged in cutting-edge research on novel methodologies, architectures and applications in the Artificial Intelligence, Machine and Deep Learning fields also focusing on their emerging application domains. He is also research fellow at C.I.N.I. (National Interuniversity Consortium for Informatics) from 2013. He has been involved in research and development projects in the research areas of Artificial Intelligence, Data Science and Internet of Things. He is author of many scientific papers (230+) in international conferences and top-ranking journals (IEEE, ACM, Springer, Elsevier, Wiley, Nature). Currently he serves as Associate Editor of many prestigious, international and well-recognized journals. |
 | Prof. Gonglin YuanGuangxi University, China Introduction: Gonglin Yuan is a Professor, Doctoral Supervisor, and Associate Dean at the School of Mathematics, Guangxi University, China. He also serves as the Executive Deputy Director of the Guangxi Center for Applied Mathematics (Guangxi University) and the Director of the National First-Class Program in Mathematics and Applied Mathematics. His research focuses on optimization theory and methods and their applications, including nonsmooth optimization, machine learning, and image processing. He has led 2 projects funded by the National Natural Science Foundation of China, 1 by the Guangxi Outstanding Youth Fund, and 1 by the Guangxi Key Natural Science Foundation. In 2024, he was named on the Stanford-Elsevier World's Top 2% Scientists list. He has published over 60 SCI-indexed papers as first or corresponding author (including 2 ESI Hot Papers and 6 Highly Cited Papers), authored 2 monographs, and received 2 Second Prizes of the Guangxi Natural Science Award. |
 | Prof. Zengyou HeDalian University of Technology, China Introduction: Zengyou He is a Professor and Doctoral Supervisor at the School of Software, Dalian University of Technology, China. He received his B.S., M.S., and Ph.D. degrees from the School of Computer Science, Harbin Institute of Technology, in 2000, 2002, and 2006, respectively. He was a Postdoctoral Fellow at the Department of Electronic and Computer Engineering, Hong Kong University of Science and Technology from 2007 to 2010. His research focuses on data mining, machine learning algorithms, and their applications in bioinformatics. He has led/completed 4 projects funded by the National Natural Science Foundation of China, authored 1 academic monograph in English, published over 80 papers in international journals, with over 6,000 citations (Google Scholar). He has received 4 provincial and ministerial awards, including 1 Second Prize of Heilongjiang Natural Science Award (2008), 1 Third Prize of Liaoning Natural Science Award (2014), 1 Second Prize of the Ministry of Education Natural Science Award (2016), and 1 Second Prize of Liaoning Natural Science Award (2017). |
 | Prof. Huafu LiaoDalian University of Technology, China Introduction: HuafuLiao, a professor and doctoral supervisor. He graduated with a doctoral degree from the University of Science and Technology of China in 2019. He has previously conducted postdoctoral research at the National University of Singapore, Humboldt University of Berlin, and City University of Hong Kong. He then joined Dalian University of Technology in 2024. His main research interests lie in stochastic optimal control theory and its applications in mathematical finance and machine learning. He has published numerous papers on related topics in academic journals such as Ann. Appl. Probab., SIAM J. Control Optim., and Math. Financ. Econ. |
 | Prof. Zhuchun LiHarbin Institute Of Technology, China Introduction: Zhuchun Li is a professor at School of Mathematics, Harbin Institute of Technology. He was selected as a National Level Young Talent. His major research area is the collective dynamics of interacted particles and swarm intelligence. Recently he developed the theory of stability analysis and regulation for associative memory network of coupled oscillators, and applied the system of coupled oscillators to the power system and opinion formation, etc. |