Big Data Analytics for Internet of Marine Things

Dr. Debashis De is a Professor in the Department of Computer Science and Engineering at the Maulana Abul Kalam Azad University of Technology, West Bengal, India. He received M.Tech from the University of Calcutta, in 2002 and a Ph.D. from Jadavpur University in 2005. He is a Senior Member-IEEE, Fellow IETE, and Life member CSI. He was awarded the prestigious Boyscast Fellowship by the Department of Science and Technology, Government of India, to work at the Heriot-Watt University, Scotland, UK. He received the Endeavour Fellowship Award from 2008–2009 by DEST Australia to work at the University of Western Australia. He received the Young Scientist award in 2005 at New Delhi and in 2011 in Istanbul, Turkey, from the International Union of Radio Science, Belgium.Dr. Diganta Sengupta, FIETE, SMIEEE, SMACM, Life member of Computer Society of India and The Institution of Engineers (India). He is also a senior member of IEEE Computational Intelligence Society. He received his B. Tech from University of Kalyani, WB, IN, his M. Tech, and Ph.D. (Engg.) from Jadavpur University, WB, IN. Dr. Diganta Sengupta is presently working in the capacity of Associate Professor in the Dept. of Computer Science and Engineering, Heritage Institute of Technology Kolkata, IN. His research interests include Computer Vision, Computational Healthcare, Bio-Informatics, and Intelligent Ocean Health Management. He is the funded investigator of SERB-SURE, Govt. of India in bioinformatics. He is the Editorial Board member of multiple International Journals, and has also served as Reviewer for referred and indexed International Journals.Dr. Spyros Hirdaris is the Manager of Global Ship Systems Centre of the American Bureau of Shipping Corporate Technology. To date his work involved academic and industrial research, product development, management, planning and strategy for R&D, consultancy and marine new construction. He is European Engineer, Chartered Engineer, Fellow of the Royal Institution of Naval Architects (UK) and the Society of Naval Architects and Marine Engineers (USA). He served as member of the International Towing Tank Conference since 2021 and the International Ships and Offshore Structures Congress since 2006. Part of his editorial duties involve Associate Editorship of the IMechE Proceedings Part M : Journal of Engineering for the Maritime Environment (ISSN:14750902, Sage Pub. Ltd). To date he has been sponsored by the EU Framework programs, Lloyd's Register and their Foundation (LRF), British Maritime Technology, The Finnish Maritime Foundation (Merenkulun säätiö) and the Academy of Finland.Dr. Tien Anh Tran is a Researcher at Department of Electrical Engineering, University of Malta, Malta. He was a Postdoctoral researcher at Department of Naval Architecture and Ocean Engineering, Seoul National University (SNU), Seoul, South Korea (October, 2022 – October, 2023). He is an Assistant Professor (Lecturer) at Department of Marine Engineering, Vietnam Maritime University, Haiphong City, Vietnam. He is an Honorary Professor at School of Computing Science and Engineering, Galgotias University, India and an Honorary Adjunct Professor at School of Computer Science and Engineering, Lovely Professional University (LPU), India. Additionally, he is an Adjunct Faculty at SIMATS Engineering, Saveetha Institute of Medical and Technical Sciences, Tamilnadu, India. He received B.Eng and M.Sc at Vietnam Maritime University, Vietnam in 2011 and 2014, respectively. He got Ph.D. Degree at Wuhan University of Technology, Wuhan, China in 2018.

• Introduction.- Introduction of Big Data for the Internet of Marine Things (IoMT).- Data Acquisition and Preprocessing in the Internet of Marine Things.- Diversity Application of the Internet of Marine Things in the Life Sciences.- Predictive Analytics and Machine Learning for Internet of Marine Things.- Security and Privacy Challenges in Big Data for Internet of Marine Things.- Emerging Technology of Internet of Marine Things (IoMTs) in Maritime Transportation.- Data Clustering and Machine Learning in the Internet of Marine Things.- Data Acquisition and Preprocessing in the Internet of Marine Things.- Demystifying Big Data Analytics in Internet of Marine Things (IMoT).- Future Directions and Emerging Trends in Big Data for Internet of Marine Things.- Conclusion.