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• Database Information Management
• Big Data Management Systems
• Data Structures
• +2 more

Ioannis Tsaknakis is an Associate Professor at the Department of Electrical & Computer Engineering, School of Engineering, University of Peloponnese. He holds a PhD in computational geometry and multidimensional data structures from the University of Patras (2004) and has been actively involved in software systems research since 2004. His work spans Database Information Management , Big Data Systems , and Knowledge Mining , with a focus on data structures and computational geometry. Research Interests : Information Management in Databases Big Data Management Systems Computational Geometry Knowledge Mining in Databases/Web Publications highlight his contributions to IoT-driven educational frameworks, machine learning applications, and cryptographic systems for data security. He has taught courses on software design and data management since joining the University of Peloponnese in 2019. Contact : jtsaknakis@uop.gr . Office hours are in Building K (Monday & Tuesday, 8:00-9:00).

• Artificial Intelligence
• Geospatial Data Science
• Knowledge Graphs
• +5 more

Professor Manolis Koubarakis is a faculty member at the Department of Informatics and Telecommunications, National and Kapodistrian University of Athens. His research focuses on geospatial data science, knowledge graphs, entity resolution, and AI applications in Earth observation. He leads projects like ExtremeEarth and Plato, advancing semantic data cube systems and geospatial question answering engines. His work bridges AI and geospatial technologies, with contributions to frameworks like pyJedAI and Strabo 2 for managing big geospatial data. Research Interests include: Geospatial Question Answering Systems Entity Resolution and Entity Linking Ontology-Based Data Access (OBDA) Knowledge Graph Construction and Applications Earth Observation Data Analytics AI for Geoinformatics Notable Projects: ExtremeEarth: Combines Copernicus satellite data with machine learning for environmental analytics. Plato: Semantic data cube system enabling advanced querying of multidimensional datasets. GeoQA2: A geospatial question answering engine evaluated on large benchmarks. JedAI Family: Tools for scalable entity resolution in structured/semi-structured data. His publications span 20+ years, with recent emphasis on: AI-driven Earth observation systems Geospatial RDF benchmarking 3D geospatial interlinking Large language models for legal and health content delivery

John PaparrizosView profile

Assistant Professor

• Databases
• Data Science
• Machine Learning
• +5 more

John Paparrizos is an Assistant Professor of Computer Science and Engineering at The Ohio State University's College of Engineering, where he directs The DATUM Lab (Data Analytics, Understanding, Mining, and Management Lab). He maintains an adjunct affiliation with the School of Informatics at Aristotle University of Thessaloniki. His research spans databases, data science, machine learning, and artificial intelligence , with focus areas including: Time-series analysis (clustering, anomaly detection) Scalable data mining for structured/unstructured data Adaptive algorithms for resource-constrained environments Foundational technologies for data-intensive applications His work addresses real-world challenges across relational, time-series, multimedia, text, graph, web, and IoT data domains. Notable recognition includes: 2025 ACM SIGMOD Test-of-Time Award for k-Shape time-series clustering 2023 IEEE TCDE Rising Star Award ACM SIGMOD Research Highlight Award NetApp Faculty Award His research has been featured in New York Times (front page), Washington Post , Forbes , and adopted by Fortune 500 companies (Exelon, Nokia) and the European Space Agency. He actively serves on program committees for premier conferences including ACM SIGMOD, VLDB, IEEE ICDE, ACM SIGKDD, and NeurIPS. His open-source tools have exceeded 100,000 downloads and are integrated into academic curricula at Brown, Columbia, Purdue, and University of Chicago.

Garofalakis MinosView profile

Professor

• Database Systems
• Data Streams
• Big Data Analytics
• +7 more

Minos Garofalakis is a Professor of Computer Science at the School of Electrical and Computer Engineering (ECE) of the Technical University of Crete (TUC), where he directs the Software Technology and Network Applications Laboratory (SoftNet). He is also the Director of the Information Management Systems Institute (IMSI) at the Athena Research and Innovation Centre in Athens. Previously, he held roles at Yahoo! Research, Intel Research Berkeley, and Bell Laboratories, and was an Adjunct Associate Professor at UC Berkeley. Education: He earned a BSc in Computer Engineering from the University of Patras (1992), followed by MSc (1994) and PhD (1998) in Computer Science from the University of Wisconsin-Madison. Research Interests: His work focuses on Big Data analytics , including database systems, data streams, approximate query processing, probabilistic databases, and secure/private data analytics. Key areas include distributed stream processing, data synopses, and machine learning applications. He has authored over 150 papers and holds 29 patents, with an h-index of 63 and 13,500+ citations. Recent Work Trends: His recent articles emphasize scalable stream analytics (e.g., OmniSketch), privacy-preserving techniques, and distributed event processing. He explores challenges in handling high-velocity data streams, uncertainty in databases, and real-world applications like healthcare analytics. Scientific Awards: ACM Fellow (2018), IEEE Fellow (2017), TUC Excellence Award (2015), and multiple patents from Bell Labs/Yahoo/AT&T. Advising & Grants: He led EU projects such as FERARI, LEADS, and The Human Brain Project. His lab, SoftNet, develops tools for extreme-scale analytics and declarative networking. Current work includes interactive cross-platform analytics (Infore) and AI-driven medical data systems. Labs/Teams: Director of SoftNet Lab and IMSI. Collaborates with industry partners on distributed systems and privacy-preserving technologies.

Papadopoulos ApostolosView profile

Associate Professor

• Databases
• Data Mining
• Spatial Databases
• +7 more

Apostolos Papadopoulos is an Associate Professor at the Department of Informatics , Aristotle University of Thessaloniki , Greece. His research focuses on databases, data mining, and big data analytics. Born in Eleftheroupolis, Greece Diploma in Computer Engineering and Informatics (University of Patras) PhD in Informatics (Aristotle University of Thessaloniki) Research Interests: Spanning DATABASES and DATA MINING , his work includes: Efficient query processing in multidimensional and spatio-temporal databases Graph mining algorithms (dense subgraphs, frequent patterns, probabilistic graphs) Parallel/distributed systems (Spark, Hadoop) for massive datasets Real-time data stream analysis Scientific Recognition: Best Paper at EDBT 2014 (selected for ACM Transactions on Database Systems) Best Knowledge Discovery Paper at ECML/PKDD 2008 Google Scholar h-index: 25 PhD Supervision: Mentoring 4 ongoing PhD students and one graduated candidate (Eleftherios Tiakas).

• Multidimensional Data Structures
• Decentralized Big Data Management Systems
• Spatio-Temporal Databases
• +8 more

Spyros Sioutas is a Professor at the University of Patras, Division of Computer Software, Department of Computer Engineering and Informatics. His research focuses on multidimensional data structures, decentralized big data management, spatio-temporal databases, distributed systems for cloud computing, and machine learning. His recent publications highlight trends in IoT systems, federated learning, TinyML, and NoSQL database optimization. Key areas include LoRa-based data transmission, graph embeddings for fraud detection, and energy-efficient distributed algorithms. He contributes to the academic community through leadership in the Division of Computer Software and collaboration with research labs such as the Database Laboratory and High-Performance Information Systems Laboratory at the University of Patras.

Ioannis TollisView profile

Professor

• Graph Analytics
• Network Visualization
• Data Science
• +2 more

Dr. Ioannis G. Tollis is Professor of Computer Science at the University of Crete, specializing in graph visualization and algorithms. His research spans graph drawing, network visualization, biomedical data modeling, and information visualization. Awarded IEEE's Young Engineer of the Year (1993) and Outstanding Service Award (1993), he has authored 8 books and 180+ publications with over 8,500 citations (h-index 40). Research focuses on algorithms for graph layouts, including dominance drawings, planar embeddings, and hierarchical visualizations. Applications extend to biomedical networks and large-scale data analytics. Previously head of FORTH's Biomedical Informatics Lab and VP at Tom Sawyer Software, he founded the Journal of Graph Algorithms and Applications.

• Database Information Management
• Big Data Management Systems
• Data Structures
• +3 more

John Tsaknakis is an Associate Professor at the Department of Electrical and Computer Engineering, School of Engineering, University of Peloponnese. He holds a PhD in Computational Geometry and Multidimensional Data Structures from the University of Patras (2004), following a diploma in Computer Engineering and Informatics (1996). His research focuses on Information Management in Databases, Big Data Systems, Data Structures, and Knowledge Mining in Web-based contexts. Since 2004, he has contributed to numerous research and development projects, particularly in software systems and data management. His work spans theoretical advancements and practical applications, including AI-driven labor market analysis, energy demand forecasting, and interoperable social protection frameworks. Research interests include database optimization, computational geometry, and leveraging big data for societal challenges. His publications reflect a blend of technical innovation and real-world problem-solving, with recent work addressing pandemic impacts on employment and AI’s role in reducing gender disparities. He is accessible in Building K on Mondays and Tuesdays, 8:00–9:00 AM, though prior arrangement is recommended. Dr. Tsaknakis collaborates on international projects, such as World Bank initiatives in social protection systems, and maintains active involvement in academic administration and teaching. His contributions to the field are further highlighted through his curriculum vitae and ongoing engagement in the academic community.

• Computational Geometry
• Algorithmic Complexity in Multidimensional Problems
• Database Complexity
• +5 more

Vasilis Samoladas is an Associate Professor at the School of Electrical and Computer Engineering, Technical University of Crete. His research spans computational geometry, database complexity, distributed systems, and parallel programming, with a focus on algorithmic challenges in multidimensional problems and quantum computing. PhD and MSc in Computer Science from University of Texas at Austin Diploma in Electrical Engineering from Aristotle University of Thessaloniki Research Interests: His work addresses fundamental issues in computational geometry, database complexity, and distributed information systems. He has contributed to external memory data structures and multidimensional algorithmic complexity. Scientific Contributions: He has published in top-tier venues like JACM, Algorithmica, PODS, and VLDB, and served on numerous international conference program committees, including roles as chairman for HDMS'08. Best publication award winner at PODS'98 Scientific director for TUC's High Performance Computing Infrastructure Laboratory Affiliation: Member of the Software Systems and Network Applications Technology Laboratory.