Spiros Skiadopoulos

Professor and Director of the MSc in Data Science program Software and Database Systems Lab (SoDa lab) Department of Informatics and Telecommunications University of the Peloponnese Tripoli, 22100 Hellas Office: Building A, Th. Kolokotronis Campus Tel: +30-2710-320177 Email (at uop.gr): spiros

Education

• PhD, School of Electrical and Computer Engineering, NTU Athens. Supervisors: T. Sellis and M. Koubarakis.
• MPhil in Computation, Department of Computation, UMIST. Supervisor: M. Koubarakis.
• Diploma in Electrical and Computer Engineering , NTU Athens. Supervisor: T. Sellis.

Publications

• Locally
• At SoDa lab
• On DBLP

Research

• Artificial Intelligence: knowledge representation languages, modeling information with constraints, constraint satisfaction problems, temporal and spatial reasoning.
• Databases: constraint databases, temporal, spatial and spatiotemporal databases, database queries over P2P networks, similarity retrieval, query evaluation and optimization.
• Data warehouses: OLAP, modeling, query evaluation and optimization, extraction transformation and loading processes.

Projects

Please see the projects page of the SoDa lab

Courses

• Proposed thesis projects (in Greek) - Πτυχιακές εργασίες
• Databases (in Greek) - Βάσεις δεδομένων.
• Advance topics in knowledge and data management (in Greek) - Θέματα διαχείρισης πληροφοριών και δεδομένων.
• Topics on knowledge and data management (postgraduate) - Θέματα διαχείρισης δεδομένων και γνώσης.

Students

Active	Graduated
P. Chronis, Ph.D. student. T. Chantzios, Ph.D. student. V. Kaffes, Ph.D. student. V. Karistinos, M.Sc. student. K. Theocharidis Ph.D. student.	K. Zagganas Ph.D. 2022. T. Davvetas, Ph.D. 2021. T. Chantzios, M.Sc. 2021. G. Parras, M.Sc. 2020. G. Chatzigeorgakidis, Ph.D. 2020. G. Poulis, Ph.D. 2015.

Systems

• BeBeCa: A a benchmark for betweenness centrality approximation methods on large graphs.
• Secreta: A system for evaluating and comparing anonymization algorithms for relational, transaction, and R-T (relational-transaction) datasets.
• CloudStudy: A cloud-based service for managing, sharing and organizing clinical and patient data from multi-centre studies.