Prof. Qingfu Zhang
City University of Hong Kong, Hong Kong, China

Bio: Qingfu Zhang is a Chair Professor of Computational Intelligence at the Department of Computer Science, City University of Hong Kong. His main research interests include evolutionary computation, optimization, neural networks, data analysis, and their applications. MOEA/D developed by his team has been one of the most widely used multi-objective optimization methodologies. Professor Zhang is an Associate Editor of the IEEE Transactions on Evolutionary Computation and the IEEE Transactions on Cybernetics. He is a Web of Science highly cited researcher in Computer Science for five consecutive years from 2016. He is an IEEE fellow.

Prof. Junyu Dong
Ocean University of China, China

Bio: Dr Junyu Dong's current research interest includes Ocean Big Data, Machine Learning and Computer Vision. He is or has been principal investigators of more than 20 research projects, including one project funded International S&T Cooperation Program of China, four projects funded by National Natural Science Foundation of China, a number of provincial and Qingdao municipal projects. He has published more than 100 papers in the major international journals or top conferences（IJCV，IEEE Transactions，NC, PR，ICCV, AAAI, IJCAI etc. He also won several awards, including the 2nd Prize of the Shandong Science and Technology Award. Dr Dong joined Ocean University of China in 2004 and he is currently a professor and the Dean of the Faculty of Information Science and Technology.

Prof. Simone Marini
Institute of Marine Science, Italy

Bio: Simone Marini is a researcher at the Institute of Marine Science (ISMAR), which is part of the National Research Council of Italy (CNR). He obtained the Laurea degree in Computer Science and the PhD in Electronic and Computer Engineering, both from the University of Genova. His current research activity deals with pattern analysis, recognition and classification of marine ecological data, with special interest in feature and variable selection, knowledge discovery through evolutionary computing, recognition and classification methodologies for underwater visual data.