Maritime Informatics and Big Data Analytics - MaritimeInformatics2020
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Dimitris Zissis is an Associate Professor at the University of the Aegean. His research interests and areas of expertise include several aspects of architecting and developing complex Information Systems (IS), including distributed and cloud based big data deployments. His published scientific work includes more than 70 publications (scientific journals, books and conferences included), which have received more than 2400 citations to date. He is a member of the editorial boards of Future Generation Computer Systems (FGCS) published by Elsevier, the International Journal of Internet of Things and Cyber-Assurance published by Inderscience and PC member for numerous conferences including CLOUDCOM, GECON, SerCO and others. He is an IEEE Senior Member and a member of the IEEE Computer Society, IEEE Oceanic Engineering and the IEEE Intelligent Transportation Systems Societies and the Young Researchers Committee of the World Federation on Soft Computing. His professional experience includes senior consulting and researcher positions in a number of private and public institutions.
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Alexander Artikis is an Assistant Professor at the Department of Maritime Studies of the University of Piraeus, Greece. He is also a Research Associate in the Institute of Informatics & Telecommunications at NCSR “Demokritos”, in Athens, Greece, where he leads the Complex Event Recognition lab. His research interests lie in the area of Artificial Intelligence. He has published over 100 papers in related journals, such as Artificial Intelligence, Machine Learning, the VLDB Journal, the ACM Transactions on Autonomous and Adaptive Systems, the ACM Transactions on Computational Logic, the ACM Transactions on Intelligent Systems and Technology and the IEEE Transactions on Knowledge and Data Engineering, as well as highly competitive conferences, including ECML, AAMAS, ECAI and DEBS. Alexander has been working on several EU-funded projects on maritime situational awareness, such as INFORE and datACRON. According to Google Scholar, his h-index is 31. |