π§βπ» Members β
 | Prof. Junyu Dong γγ γHomepageγ He currently serves as Dean of the Faculty of Information Science and Engineering. He has long been engaged in interdisciplinary research on marine big data and artificial intelligence, with primary research interests in marine big data mining and underwater vision information processing. In the field of marine big data mining, he is among the earliest international researchers to propose deep learning-based methods for sea surface temperature prediction. In underwater vision information processing, he has developed low-constraint underwater image enhancement and 3D reconstruction methods. He has led the development of a millimeter-level resolution seafloor high-resolution acquisition system, one of the most advanced of its kind internationally. |
 | Feng Gao γγγHomepageγ His primary research areas include intelligent remote sensing image processing and artificial intelligence oceanography. He has published more than 100 academic papers in IEEE TIP, TNNLS, TCYB, TGRS, TIM, and other journals and conferences. His publications have received over 4,000 citations. He serves as an Editorial Board Member of the Journal of Applied Remote Sensing. |
 | Lin Qi γγγHomepageγ His primary research interests include computer vision, machine learning, and hyperspectral image processing. He has published more than 30 academic papers in leading international journals and conferences, including IEEE TGRS, IEEE GRSL, IEEE JSTARS, Signal Processing, Neurocomputing, and IGARSS. |
 | Yanhai GanγγγHomepageγ His primary research area lies at the intersection of artificial intelligence and ocean science, including intelligent content generation, data assimilation, machine learning, ocean modeling, and system architecture. His work focuses on enabling the fusion and effective utilization of multi-source ocean observational data and improving the accuracy of ocean dynamic environment prediction and forecasting. He has published more than 30 academic papers in leading journals and conferences, including IEEE TIP, IEEE TCYB, and IEEE TCSVT. |