Institute of Computer Science (ICS) Foundation for Research and Technology - Hellas (FORTH)
Nikolaou Plastira 100, Vassilika Vouton GR-70013 Heraklion, Crete, Greece
Phone: +30 2810391449 FAX: +30 2810391428 E-mail: kondylak@ics.forth.gr Homepage: http://www.ics.forth.gr/~kondylak/
Dr. Haridimos Kondylakis is an Associate Professor of Big Data Engineering at Computer Science Department, University of Crete and an Affiliate Researcher at Computational BioMedicine Laboratory (CBML), Institute of Computer Science, Foundation of Research & Technology-Hellas (FORTH). He holds a Ph.D and an M.Sc. in Computer Science from University of Crete. He is also a visiting lecturer at the Department of Electric and Computer Engineeringat Hellenic Mediterranean University and at Hellenic Open University, teaching lessons related to Big Data Management, Semantics and Artificial Intelligence. In the past he has participated in more that 27 EU research projects with a total budget over 100Mie and he is currently participating in seven H2020 EU projects ( ProCancer-I - WP Leader, InCareHeart - Task Leader, EUCAIM, GenoMed4All, ODIN, SafePolyMed, RadioVal) and one national research project (TALE as co---PI). He has more than 220 publications in international conferences, books and journals including ACM SIGMOD, VLDB, JWS, KER, EDBT, ISWC, ESWC etc. He is the organizer of the International Workshop on Semantic Web Technologies for Health Data Management and the leader of Data Storage, Curation and Management Working Group of the EU commission for the AI for health imaging projects. He also acts as a regular reviewer and a PC member for a number of premier journals and conferences, such as WWW, EDBT, SIGMOD, VLDBJ, JWS, JODS, CIKM, EDBT, ISWC etc.
Scalable Data Mining Data Science Machine Learning Big data management Integration of big, heterogeneous data Personal Health Systems Data series indexing and querying Query languages, evolution operators Data Structures, Modelling and Management Knowledge Representation & Data Management Information Extraction Conceptual Modelling Information Integration and Retrieval Systems for the web Interoperability of Heterogeneous and Distributed Information Bases Biomedical Information Systems.
