Find Academic Supervisors

• Data Mining
• Machine Learning
• Clustering Algorithms
• +5 more

Professor Michalis Vazirgiannis is affiliated with the Informatics Department at Athens University of Economics and Business (AUEB). He holds a PhD in Informatics from the National and Kapodistrian University of Athens (1994), with prior degrees in Physics, Robotics, and Knowledge-Based Systems. His research focuses on data mining, machine learning, clustering algorithms, and web mining. He has led EU-funded projects like SQO-OSS and NGWeMiS, and contributed to initiatives like DB-GLOBE and I-KnowUMine. Awards include ERCIM Post-Doctoral Scholarship (2001) and Marie Curie Fellowship (2006). He serves on editorial boards (e.g., IDA Journal) and program committees for conferences like IEEE/ICDM and ECML/PKDD. His work spans theoretical advancements and practical applications in distributed systems, semantic networks, and temporal graph analysis. Education: BSc Physics, NKUA (1986) MSc Robotics, NKUA (1988) MSc Knowledge-Based Systems, Heriot-Watt University (1989) PhD Informatics, NKUA (1994) Research interests include semi-supervised learning, page ranking, and distributed feature selection. His publications address clustering frameworks, peer-to-peer systems, and normalized PageRank for evolving graphs. He has contributed to patents and held visiting researcher positions at INRIA, Fraunhofer, Max Planck, and IBM India.

Giatrakos NikosView profile

Assistant Professor

• Big Data Management
• Real-Time Analytics
• Distributed/Decentralized Big Data Processing
• +4 more

Nikos Giatrakos is an Assistant Professor at the School of Electrical and Computer Engineering (ECE) of the Technical University of Crete. His primary research focuses on Big Data Management, Real-Time Analytics, and distributed systems. He holds a PhD in Computer Science from the University of Piraeus (2012), an MSc from Athens University of Economics and Business (2007), and a Diploma in Computer Science from the University of Piraeus (2006). His research interests include Big streaming Data & Real-Time Analytics , Distributed/Decentralized Big Data Processing , Federated Machine Learning , Edge-to-Cloud Data Management , and Complex Event Processing . He has contributed to EU projects as a key investigator and received the Best Demo Award in ACM CIKM 2020 for innovative work in streaming analytics. Notable research trends in his articles emphasize real-time resource optimization (e.g., tumor simulations over HPC), adaptive event forecasting , and distributed systems for large-scale data processing. His work bridges theoretical algorithms with practical implementations, such as the SuBiTO framework for neural learning and the FERARI system for multi-cloud event processing. Awards : Best Demo Award (ACM CIKM 2020) Key Projects : EU-funded initiatives on extreme-scale analytics and federated learning Grants : Contributions to multi-site and cross-platform analytics research He leads efforts in extreme-scale analytics-as-a-service (e.g., the INFORE approach) and has developed tools like SheerMP for scalable streaming services. His work often addresses challenges in edge computing , IoT workflows , and geospatial event detection over maritime or movement data.

• Cloud Computing
• Internet of Things
• Semantic Web
• +3 more

Professor Euripides G.M. Petrakis serves as a Professor and Laboratory Director at the Technical University of Crete (TUC) within the School of Electrical and Computer Engineering. He has been a faculty member since 1999 and has directed the Intelligent Systems Laboratory since 2006. As a Senior Member of IEEE, he maintains an active research profile with over 175 publications and more than 4,000 Google Scholar citations. Education: Ph.D. in Computer Science (1993), University of Crete B.Sc. in Physics (1985), National University of Athens Professor Petrakis' research spans Cloud Computing, Internet of Things, Semantic Web, and Computer Vision. His work has evolved from early computer vision and image databases to modern information systems, semantic web technologies, and most recently cloud computing and IoT applications. His research demonstrates consistent innovation across multiple computing domains with practical implementations in healthcare, security, and smart systems. His recent publications reveal a strong focus on IoT architectures, cloud/fog computing optimization, semantic service descriptions, and real-time video processing with Apache Flink. The research shows increasing integration of blockchain for security, advanced scheduling algorithms for microservices, and semantic approaches to improve interoperability in distributed systems. Scientific Recognition: Best paper award at AINA 2024 TUC Excellence Award 2022 Keynote speaker at EIDWT-2025 Ranked in top 2% of scientists worldwide (Stanford rankings 2021-2023) Professor Petrakis has supervised numerous graduate students, resulting in over 120 co-authored papers. He has successfully secured substantial research funding, attracting more than 2.5 million euros for TUC through multiple EU and Greek government projects. His grant portfolio includes leadership roles in Horizon 2020, FP7, and national research initiatives spanning border surveillance, smart farming, healthcare systems, and semantic web technologies. As Director of the Intelligent Systems Laboratory, he leads research in cloud computing, IoT, semantic web, and computer vision. The lab has produced multiple system prototypes including IntelliSearch, Semantic Similarity tools, MedSearch, and WebSummarization systems. Current research directions focus on secure federated architectures for IoT, advanced service description frameworks, and real-time video analytics in distributed environments.

Stergios AnastasiadisView profile

Professor

• Operating Systems
• Distributed Storage
• File Systems
• +2 more

Stergios Anastasiadis is a Professor at the University of Ioannina's Department of Computer Science and Engineering, with visiting appointments at Cambridge and EPFL. His research focuses on core systems innovation spanning operating systems, distributed storage, and cloud infrastructure. Research interests include multitenant isolation, concurrent data structures, storage I/O optimization, and filesystem design. His work develops novel approaches to resource management in cloud environments, emphasizing security, efficiency, and reliability in distributed systems. Recent publications reveal sustained focus on storage subsystem optimization, with contributions to journaling techniques, isolation mechanisms, and I/O performance tuning. Key innovations include lock-free concurrency models, client-side storage innovations, and cross-platform memory management techniques. Educational background includes Ph.D. from University of Toronto and international research collaborations. No specific advising relationships or scientific awards are documented. Laboratory affiliations include distributed systems research groups at University of Ioannina, with collaborations extending to cloud computing initiatives across Europe.

• Computer Graphics
• CAD Systems
• Geometric Modeling
• +2 more

Ioannis Fudos is Professor and former Chair (2014-2018) of the Computer Science and Engineering Department at the University of Ioannina. He holds a Diploma in Computer Engineering from University of Patras, and MS/PhD degrees in Computer Science from Purdue University. His research spans computer graphics, CAD systems, geometric modeling, animation, and image retrieval. He directs the Computer Graphics Research Group and has secured substantial funding (€2M+) from European and national sources for 17+ projects. His scholarly contributions include publications in top venues (SIGGRAPH, Eurographics, IEEE TVCG) covering rendering techniques, 3D printing quality control, assistive technologies, and cultural heritage digitization. Recent work explores neural rendering transparency methods, wheelchair navigation interfaces, and pedestrian routing algorithms. His laboratory maintains a repository of 3D models for research use.

Serafeim ChatzopoulosView profile

Researcher

• Data Mining
• Scientific Databases
• Scientometrics
• +5 more

Serafeim Chatzopoulos is a Researcher at the Information Management Systems Institute (IMSI) of the ATHENA Research Center since 2014 and a software engineer at OpenAIRE AMKE since 2022. He holds a PhD in Computer Science from the University of the Peloponnese (2022), an MSc in Computer Systems, and a BSc in Informatics and Telecommunications from the University of Athens. His research focuses on data mining, scientific databases, scientometrics, and big data management, with notable contributions to systems like OpenAIRE Graph and BIP! Finder. His work emphasizes improving academic search engines, citation analysis, and researcher assessment tools. Key projects include developing algorithms for expert recommendation (VeTo toolkit), impact-based literature search (BIP! Finder), and scalable data science tools like SciNeM and SmartDataLake. He has collaborated on EU and national research initiatives, leveraging technologies such as Apache Spark, Java, and React.js. Chatzopoulos has co-authored over 30 publications in venues like TPDL, WWW, and VLDB, addressing challenges in scientific impact measurement, metadata integration, and open science infrastructure. His PhD dissertation explored data mining in scholarly networks under Prof. Christos Tryfonopoulos' supervision. He remains active in advancing tools for academic transparency and reproducibility, including narrative CV frameworks and article deduplication systems.

• Algorithm Design and Analysis
• Algorithmic Game Theory
• Approximation and Online Algorithms
• +5 more

Dimitrios Fotakis is a Professor at the School of Electrical and Computer Engineering at the National Technical University of Athens (NTUA), where he has been serving since February 2009. He also collaborates with the "Archimedes" research unit as an experienced researcher since 2023. His academic journey includes previous positions as a Senior Research Scientist at Yahoo Research (2017-2019), Assistant Professor at the University of the Aegean (2004-2009), and Postdoctoral Researcher at the Max-Planck Institut für Informatik (2001-2003). National Technical University of Athens (2009-present): Professor "Archimedes" Research Unit (2023-present): Collaborating Senior Researcher Yahoo Research (2017-2019): Senior Research Scientist University of the Aegean (2004-2009): Assistant Professor Max-Planck Institut für Informatik (2001-2003): Postdoctoral Researcher Education: He holds a Diploma (1994) and a PhD (1999) from the Department of Computer Engineering and Informatics at the University of Patras, Greece. Dimitrios Fotakis specializes in Theoretical Computer Science with a focus on Algorithmic Game Theory and Approximation Algorithms. His research centers on the algorithmic properties of congestion games, the design of approximate mechanisms without monetary exchanges, and direct algorithms with emphasis on service location problems. His work has produced significant results including optimal algorithms for service location problems, potential functions for generalizations of congestion games, and optimal approximate truth-based mechanisms. With over 120 publications in major international conferences and journals and more than 3,000 citations according to Google Scholar, his research has had substantial impact in the field. His recent publications (2023-2025) demonstrate a continued focus on cutting-edge topics at the intersection of algorithms, game theory, and machine learning. These works span diverse areas including learning-augmented algorithms, graph neural networks, facility location problems, mechanism design, opinion dynamics, and fairness in ranking systems. The breadth of his research shows his ability to bridge theoretical computer science with practical applications in energy systems, social networks, and AI ethics. Teaching: Professor Fotakis teaches courses including Algorithms and Complexity, Discrete Mathematics, Computer Programming, Algorithmic Game Theory, Network Algorithms and Complexity, and Convex Optimization with Applications in Machine Learning. Research Leadership: He has served as Principal Investigator for several significant research projects including BALSAM (Beyond Worst-Case Analysis in Approximation Algorithms and Mechanism Design, 2019-2023), LEADAlgo (Learning-Augmented and Data-Driven Online Algorithms, 2020-2022), and Selfish Resource Allocation through Game Theoretic Models (2009-2021). He has also contributed as a Senior Researcher to multiple THALES projects through the years. Mentorship: Professor Fotakis has supervised numerous PhD students who have gone on to prestigious postdoctoral positions at institutions including MIT, Stanford, Yale, and UT Austin. His academic lineage extends through many successful students now working in top universities and research institutions worldwide.

• Optimization
• Computational Mathematics
• Machine Learning
• +9 more

Dimitris G. Sotiropoulos is a researcher at the Department of Mathematics, University of Patras . His work spans optimization , numerical analysis , and machine learning , with a focus on developing advanced algorithms for nonlinear systems , neural network training , and global optimization . Key research contributions include: Innovations in BFGS and conjugate gradient methods for large-scale optimization. Applications of interval arithmetic to discrete minimax problems and parameterized equations. Hybrid genetic algorithms for global optimization of multimodal functions. His publications (1997–2010) reflect expertise in computational mathematics and algorithm design , with applications in biomedical data classification and computational geometry. Articles emphasize memory efficiency , nonlinear programming , and validated numerics . Collaborations include researchers in optimization theory , neural networks , and numerical methods across multiple Greek institutions.

• Software Engineering
• Cloud Computing
• Internet of Things
• +3 more

Ευριπίδης Γ.Μ Πετράκης is a Professor & Laboratory Director at the School of Electrical and Computer Engineering, Technical University of Crete (TUC) since 1999. He holds a Ph.D. in Computer Science (University of Crete, 1993) and a B.Sc. in Physics (National University of Athens, 1985). His research focuses on Cloud Computing, IoT, Semantic Web, and Image Indexing, with over 175 publications and top international recognition including the 2024 AINA Best Paper Award and Stanford's Top 2% Global Impact ranking (2021-2023). Key projects include leading roles in Horizon 2020-funded BorderUAS (2020-2023), MARS smart farming initiative (2018-2021), and FP7-funded FI-STAR (2013-2016). He has pioneered solutions for IoT security (iBoT), edge-cloud computing (DeFog), and semantic service frameworks (OASL). His academic contributions span advanced distributed systems, including Apache Flink-based real-time video processing (Video2Flink) and Kubernetes optimization strategies. He also actively contributes to standards development for IoT interoperability and semantic web services.

Pavlos FafaliosView profile

Assistant Professor

• Information Systems
• Information Retrieval
• Semantic Web
• +9 more

Pavlos Fafalios is an Assistant Professor at the School of Production Engineering and Management, Technical University of Crete. His research focuses on Information Systems, with specialties in Information Retrieval, Semantic Web, and Knowledge Engineering. He holds a PhD in Computer Science (University of Crete, 2016) and conducted postdoctoral research at L3S Research Center (Germany) and FORTH (Greece). He has been a visiting lecturer at the Hellenic Mediterranean University and actively contributes to the international research community through over 50 publications. His work emphasizes semantic interoperability, knowledge graphs, and interdisciplinary applications in cultural heritage and digital humanities. Education: Diploma in Information and Communication Systems Engineering (University of the Aegean, 2009) Master's in Information Systems (University of Crete, 2012) PhD in Computer Science (University of Crete, 2016) Research interests include: Information Retrieval (e.g., exploratory search, semantic search) Knowledge Engineering (ontology design, data integration) Applications in maritime history, disaster informatics, and circular economy His recent articles explore ontology governance, knowledge graph applications in fact-checking, and semantic interoperability frameworks. Notable achievements include the Marie Skłodowska-Curie Fellowship (2016-2019) and contributions to projects like the Claimskg system.

Andreas GöbelView profile

Professor

• Computational Counting
• Randomness in Computation
• Computational Complexity
• +4 more

Andreas Göbel is a Professor and Chair of Algorithm Engineering at the Hasso Plattner Institute (HPI). His research focuses on computational counting, randomness in computation, computational complexity, graph theory, and stochastic processes. He has contributed extensively to understanding diffusion processes, clique structures in networks, and algorithmic approaches to statistical physics problems. His work bridges theoretical computer science with practical algorithm design. Recent contributions include analyzing SIRS process survival times, clique dynamics in geometric random graphs, and non-linear information diffusion models. He has published widely in top-tier conferences such as IJCAI, AAAI, and SODA. Göbel teaches courses including Probability and Computing, Algorithmix, and Theoretical Foundations of Cryptography. His research group explores both foundational aspects of algorithms and real-world applications, particularly in network science and combinatorial optimization.

• Big Data Engineering
• Semantic Web
• Semantic Summarization
• +4 more

Haridimos Kondylakis is an Associate Professor at the Computer Science Department of the University of Crete and an Affiliated Researcher at the Institute of Computer Science (FORTH). He specializes in Big Data Engineering, Semantic Web technologies, and AI-driven healthcare solutions. He holds a Ph.D. and M.Sc. in Computer Science from the University of Crete. His research focuses on biomedical data management, semantic summarization, and AI applications in healthcare. He leads projects like SUNRISE, ProCAncer-I, and GenoMed4All, addressing cancer treatment, personalized medicine, and healthcare data interoperability. He has participated in over 27 EU projects with a combined budget exceeding €100M. He actively contributes to academic governance, serving on editorial boards (e.g., Information journal) and program committees for top conferences (SIGMOD, VLDB, ESWC). His work has resulted in over 220 publications and multiple awards, including the 2025 SIGMOD Distinguished Reviewer Award. He has led educational initiatives through grants and visiting lectures at institutions like the Hellenic Open University and Hellenic Mediterranean University. His current roles also include Founder & CTO of Ypsilon Care and Horizon Proposal Evaluator for the European Commission.

Dimitris PlexousakisView profile

Professor

• Knowledge Representation
• Semantic Web
• Service-Oriented Architectures
• +2 more

Dimitris Plexousakis is Professor of Computer Science at the University of Crete and Director of the Institute of Computer Science at FORTH. His research spans knowledge representation, semantic web technologies, service-oriented architectures, and database systems. With a PhD from the University of Toronto (1996), he leads multiple European projects including SmartHealth EDIH and participates in Horizon Europe initiatives. Plexousakis has published extensively on knowledge graphs, semantic web applications, and distributed systems. His current work focuses on scalable knowledge graph management, neuro-symbolic AI integration, and semantic technologies for healthcare applications. He teaches database systems, logic, and business process management courses.

Emmanuel J. YannakoudakisView profile

Professor

• Database Systems
• Information Retrieval
• Psychometric Databases
• +2 more

Dr. Emmanuel J. Yannakoudakis is Professor Emeritus of Computer Science at Athens University of Economics and Business, specializing in database systems and information retrieval. Education: Ph.D. in Computer Science, University of Bradford B.S. in Computer Science, University of Bradford His research spans database design, psychometric testing frameworks, and multilingual information systems. Notable contributions include the ARISTON expert system for vocational guidance. Awards: First Prize at CITSA Conference (2008) Fellow of British Computer Society Dr. Yannakoudakis has consulted for EU programs and Greek governmental bodies on information systems and terminology standardization.

• Databases
• Web-based Information Systems
• Peer-to-Peer Data Processing
• +3 more

Vassalos A. Vasilis is an Associate Professor in the Department of Informatics at Athens University of Economics and Business. His research focuses on integrating heterogeneous data sources, query processing for semistructured data, and peer-to-peer systems, with applications in eBusiness development. He holds a PhD from Stanford University and has participated in W3C standardization efforts for XQuery/XPath. Professor Vasilis has led research projects funded by EU and national programs exploring next-generation data integration systems.