As the volume of marine big data has increased dramatically, one of the main concerns is how to fully exploit the value of such data in the development of marine economy and marine science and technology.
The book covers data acquisition, feature classification, processing and applications of marine big data in evaluation and decision-making, using case studies such as storm surge and marine oil spill disaster.
Dong-Mei Huang is a professor at the College of Information Technology, Shanghai Ocean University in Shanghai, China. She has been dedicated to the research of marine information field. Leading a cross-disciplinary research team, she established the first ""Cloud Computing Platform for Marine Big Data"" among Chinese ocean-related universities. She has taken charge of more than 30 national and marine-specific scientific projects, which research outcomes have been applied in marine information services in the East China Sea and the North China Sea. In the marine research field she has published more than 100 papers, including the first comprehensive review of marine big data research internationally. She received the top prize in Marine Scientific and Technology awarded jointly by Chinese Society of Oceanography, China Pacific Society, and Chinese Society of Oceanology and Limnology and made outstanding contributions to the research of hybrid elastic management of marine spatiotemporal big data, association analysis of multi-modal marine data, intelligent decision-making and heterogeneous information integration, and other technologies.
Wei Song, professor at the College of Information Technology, Shanghai Ocean University, China, adjunct research fellow at Griffith University, Australia, and the ""Eastern Scholar"" awarded by Shanghai Institutions of Higher Learning. She received her PhD degree from Queensland University of Technology (QUT), Australia in 2012 and had worked in QUT as a Research Fellow between 2012 2015. She is also a member of Association for Computer Machinery (ACM) and Institute of Electrical and Electronics Engineers (IEEE), and a reviewer for the journals of IEEE Transactions on Multimedia (TMM), ACM Transactions on Multimedia Computing, Communications and Applications (TOMM), and Information Fusion. She has published more than 20 high quality papers in top multimedia journals and conferences such as the IEEE Transactions on Multimedia and ACM Multimedia Conference. In recent years, she has specially conducted cross-disciplinary research in marine information, including underwater computer vision, remote sensing image-based ocean phenomenon identification, and ocean big data analysis. She currently hosts the grants of the National Nature Science Foundation and the Capacity Development Program of Shanghai Local College in the related fields. She also established the Joint Intellisensing Lab with international collaborators from Europe and Australia in 2016, focusing on marine sensing and understanding.
Guoliang Zou, professor at Shanghai Ocean University. He received his PhD degree from Southeast University, China, majoring in signal and information processing in 1989. He used to work in Nanjing University of Technology, Hebei University, and Shanghai University. He is mainly engaged in digital ocean, marine environment and pollution monitoring, marine wireless communication support system and applications and other related research. He presided over 15 sub-projects of National Nature Science Foundation of China and major projects of Shanghai municipality, and participated in more than 20 national vertical and horizontal scientific research projects. He has published one monograph, more than 50 papers, and edited/co-edited five books and four textbooks.
