Ougiaroglou Stefanos B.Sc., M.Sc., Ph.D.

Laboratory Associates

Stefanos Ougiaroglou received a B.Sc in Computer Science (2004) from Information Technology department of Alexander TEI of Thessaloniki, Greece, a M.Sc. in Computer Science (2006) from the department of Computer Science of Aristotle University of Thessaloniki, Greece and a PhD in Computer Science (2014) from the department of Applied Informatics of University of Macedonia, Greece. The title of his PhD thesis is “Algorithms and Techniques for Efficient and Effective Nearest Neighbours Classification”. His PhD studies were supported by a Scholarship from State Scholarships Foundation (I.K.Y) of Greece. Moreover, S. Ougiaroglou holds a Certificate of Pedagogical and Teaching Competence (2010), ASPAITE, Greece. From 2016, he is postdoctoral researcher at the department of Applied Informatics of University of Macedonia. His postdoctoral research is focused on classification methods on data streams and large datasets. Currently, he is a laboratory lecturer (EDIP) at the department of Information and Electronic Engineering of the International Hellenic University where he teaches Databases, Data Structures, Data Mining, Algorithms and Programming, Web Languages and Technologies and Software Engineering for Web Application. He has employed as an adjunct part-time lecturer/instructor at Dept. Of Telecommunication Systems and Networking of TEI of Messolonghi, Greece. His research interests include Data Mining and Knowledge Discovery, Machine learning, Data Reduction, Data streams, Data management for Mobile Computing, Databases, Algorithms and Data Structures and Educational Technology. He has co-authored several journal and conference papers in these fields.

Scientific Field:
Algorithms, Data mining, Databases, Data structures, Web applications
Courses taught:
(1102) Structured Programming, (1841) Data Organization and Data Mining, (1401) Database Management Systems, (1503) Σχεδίαση Λειτουργικών Συστημάτων, (1941) Development of Web Systems and Applications
Office hours:
+30 2310013926
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