Dimitris Zissis is a Professor and Head of the Department of Product and Systems Design Engineering at the School of Engineering of the University of the Aegean, where he also serves as the Director of the Intelligent Transportation Systems Lab. His research interests lie in the field of Information Systems Design, with a particular focus on Big Data Analytics, Data Mining, Parallel and Distributed Systems, and Cloud Computing. He has authored more than 100 original scientific publications, which have received over 5,000 citations internationally. He recently co-edited the academic volume Guide to Maritime Informatics (Springer), which has already been adopted as a textbook by several universities in Greece and abroad.
He has led research teams and worked as principal investigator in numerous European and National research projects, collaborating with institutions across the public and private sector. He has organized and directed multiple field campaigns, and has received several academic distinctions in Greece and internationally. According to a recent global study [1], he is ranked within the top 2% of most cited researchers worldwide, while his article “Addressing Cloud Computing Security Issues” was recognized by Thomson Reuters as one of the top 0.1% most influential publications internationally during 2010–2014, based on citation impact.
He has served as a member of the European Commission’s Business-to-Government Data Expert Group and the committee on Facilitating the Use of New Data Sources for Official Statistics. He has contributed as Editor (Future Generation Computer Systems), conference chair, and programme committee member in numerous international events, including DEBS, CCSTIM, SerCo, GECON, CLOUDCOM, ICDM, among others. He is also a Senior Member of the IEEE.
He teaches the courses “Information Systems Analysis and Design”, “Databases and Knowledge Discovery”, and “Programming Technologies and Methodologies” at undergraduate and postgraduate level in the Department of Product and Systems Design Engineering at the University of the Aegean, and has also served as Visiting Professor in universities in Greece and abroad.
- G Spiliopoulos, K. Chatzikokolakis, D. Zissis, E. Biliri, D. Papaspyros, G Tsapelas, S. Mouzakitis, Knowledge extraction from maritime spatiotemporal data: An evaluation of clustering algorithms on Big Data, IEEE International Conference on Big Data (IEEE Big Data 2017), December 11-14, 2017, Boston, MA, USA.
- A Valsamis, K Tserpes, D Zissis, D Anagnostopoulos, T Varvarigou, Employing traditional machine learning algorithms for big data streams analysis: The case of object trajectory prediction, Journal of Systems and Software, Elsevier, 127, 249-257, 2017
- L. M. Millefiori, D. Zissis, L. Cazzanti and G. Arcieri, "A distributed approach to estimating sea port operational regions from lots of AIS data" IEEE International Conference on Big Data 2016 (IEEE Big Data 2016), Washington, DC, 2016, pp. 1627-1632
- Dimitrios Zissis, Elias K. Xidias, Dimitrios Lekkas, A cloud based architecture capable of perceiving and predicting multiple vessel behaviour, In Applied Soft Computing, Volume 35, 2015, Pages 652-661, ISSN 1568-4946, Elsevier
- Dimitrios Zissis, Dimitrios Lekkas, Addressing cloud computing security issues, In Future Generation Computer Systems, Volume 28, Issue 3, 2012, Pages 583-592, ISSN 0167-739X, https://doi.org/10.1016/j.future.2010.12.006.
Guide to Maritime Informatics
Editors: Artikis, Alexander, Zissis, Dimitris (Eds.)