Find Academic Supervisors

• Computational Complexity
• Graph Algorithms
• Distributed Algorithms
• +4 more

Roles and Affiliations: Aristides Pagourtzis is a Professor at the School of Electrical and Computer Engineering of the National Technical University of Athens (NTUA), leading the Computer Science Division. He also serves as Lead Researcher at the Archimedes Research Center (Athena RC) and heads the Computation and Reasoning Laboratory (CORELab). His academic career includes positions at institutions like the University of Liverpool and ETH Zürich. Education: Ph.D. in Electrical and Computer Engineering (1999) and Diploma in Electrical Engineering (1989), both from NTUA. Research Interests: Computational Complexity, Graph Algorithms, Distributed Algorithms, Cryptography, and Network Algorithms. Teaching: Teaches courses such as Algorithms and Complexity, Cryptography, and Advanced Topics in Theoretical Computer Science. Courses span undergraduate and postgraduate levels, emphasizing foundational and applied computer science concepts. Publications & Grants: Over 80 publications in journals like Theoretical Computer Science and conferences like CIAC and FCT. His research has been funded by grants from the US, EU, and national resources. Notable contributions include work on approximation algorithms, distributed computing, and cryptographic protocols. Service & Leadership: Served as co-chair for CIAC 2017 and FCT 2021. Active in academic service, organizing workshops and participating in committees for conferences such as IWOCA and ACM. Labs & Teams: Leads the CORELab, focusing on theoretical computer science and its applications. Collaborates on projects involving algorithm design, complexity analysis, and secure systems.

Panagiotis KaterinisView profile

Professor

• Graph Theory
• Computational Geometry
• Graph Factors
• +3 more

Panagiotis Katerinis is a Professor at Athens University of Economics and Business (AUEB). He holds a Bachelor's, Master's, and Ph.D. in Mathematics from the University of London. His research focuses on Graph Theory, particularly graph factors existence, computational geometry, and related structural properties of graphs. Primary research interests include exploring conditions for factor existence in graphs (e.g., k-factors), graph toughness, binding numbers, and computational geometry applications. His work combines theoretical proofs with combinatorial analysis. Key publications span topics like minimum degree requirements for f-factors (2000), cubic graph toughness characterization (1994), and foundational studies on graph binding numbers (1987). Though no explicit awards are noted, his contributions to graph theory are evident through his publication record. Contact: pek@aueb.gr , Office at Kodrigktonos 12, 4th floor.

• OLAP and data warehousing
• data mining
• Sensor/P2P networks
• +8 more

Kotidis Ioannis serves as an Associate Professor in the Department of Informatics at the Athens University of Economics and Business (AUEB). His academic journey began with a Diploma in Electrical and Computer Engineering from the National Technical University of Athens, followed by Master's and Ph.D. degrees from the University of Maryland. His research focuses on several critical areas of database systems and data management, including On Line Analytical Processing (OLAP) and data warehousing, data mining, Sensor/P2P networks, mobile data management, data fusion & dissemination, data streams, RFID data management, approximate query answering, ranking, and database preservation and integration. His work bridges theoretical database concepts with practical applications in emerging technologies. Professor Kotidis' publication record demonstrates consistent contributions to database research over two decades, with notable work in dynamic view management, stream processing, sensor network data management, and more recently, blockchain-based OLAP view management and complex event processing. His research has evolved from traditional data warehousing to address challenges in modern data-intensive applications. best paper award at ACM SIGMOD International Conference on Management of Data for DynaMat paper Throughout his career, Professor Kotidis has supervised numerous students on projects related to database systems, including work on complex event processing, decentralized OLAP view management using blockchains, and graph similarity learning. His research projects include DeLorean (time-series management), RECOST (complex stream management), DBSENSE (wireless sensor networks), and INFORE (extreme-scale analytics). His laboratory work focuses on creating efficient, scalable solutions for data management challenges across various domains, with particular emphasis on making advanced data processing techniques accessible and practical for real-world applications.

Charis PapadopoulosView profile

Professor

• Theoretical Computer Science
• Design and Analysis of Algorithms
• Graph Algorithms
• +5 more

Charis Papadopoulos is a Professor at the Department of Mathematics, University of Ioannina, Greece. He holds a PhD in Computer Science (2005) and MSc (2001) from the University of Ioannina, and conducted postdoctoral research at the University of Bergen, Norway (2005-2007). His academic activities include visiting researcher positions at the University of Ioannina (2008-2010) before joining the faculty in 2011. Education: MSc and PhD in Computer Science, University of Ioannina Postdoc: Algorithms Research Group, University of Bergen (2005-2007) His research interests focus on Theoretical Computer Science, particularly: Design and analysis of algorithms Algorithmic graph theory Graph modification problems Width parameters and graph layouts Combinatorial enumeration Algorithm engineering Recent publications address structural parameterization of cluster deletion, subset feedback vertex set problems, avoidable vertex/path enumeration, and connectivity-preserving subgraphs. His work spans both journal publications (e.g., Algorithmica , Theory of Computing Systems ) and conference proceedings (e.g., WALCOM , SODA ). He has served on program committees for major conferences including: CIAC 2025 EuroCG 2025 WADS 2023 WALCOM 2023 Current projects include FANTA (Efficient Algorithms for Network Analysis) funded by H.F.R.I. and Separators and Cut Problems under HFRI grants. He has supervised PhD and Master's dissertations and collaborated with European research institutions.

• Machine Learning
• Pattern Recognition
• Speech Recognition
• +3 more

Prof. Vassilis Digalakis is a Professor at the Technical University of Crete in the Department of Electronic and Computer Engineering, part of the School of Electrical and Computer Engineering. He holds a Ph.D. in Electrical and Systems Engineering from Boston University and has extensive experience in academia, industry, and public service. His roles include former Rector of the Technical University of Crete (2013-2017) and Deputy Minister of Education and Religious Affairs (2020-2021). Education: Ph.D. in Electrical and Systems Engineering, Boston University (1992) M.Sc. in Electrical Engineering, Northeastern University (1988) B.Sc. in Electrical Engineering, National Technical University of Athens (1986) Research Interests: Prof. Digalakis specializes in machine learning, speech recognition, pattern recognition, and dialog systems. His work emphasizes developing advanced algorithms for speech processing, multimodal interfaces, and adaptive systems. Notable contributions include innovations in linear dynamical models for speech synthesis and robust pronunciation evaluation techniques. Awards and Recognition: He has received two IEEE Signal Processing Society Best Paper Awards (1999, 2000) and holds five patents related to speech recognition technologies. His leadership roles include Director of the Telecommunications Systems Institute (2005–2013) and Chair of the ECE Department (2003–2005). Professional Activities: He served as President of the Hellenic Universities Rectors’ Synod (2015) and later as Chairman of the Standing Committee on Cultural and Educational Affairs. His work extends to industry collaborations, including founding contributions to Nuance Communications and Dialogos Speech Communications. Labs and Projects: Associated with the Information and Networks Laboratory at TUC, his research focuses on cutting-edge solutions in telecommunications and AI-driven speech technologies.

Sakkopoulos EvangelosView profile

Associate Professor

• Personalized Software Technology
• Machine Learning
• Data Mining
• +9 more

Evangelos Sakkopoulos is an Associate Professor at the Department of Informatics, University of Piraeus. He holds a PhD from the Department of Mechanical Engineering and Informatics at the University of Patras. His research interests include personalized software technology, mobile programming, web systems, and their applications in education, healthcare, maritime safety, and legal informatics. He has over 60 international publications and actively participates in EU technical committees for internal affairs regulations. His teaching portfolio includes postgraduate courses on Software Technology and undergraduate programming subjects like Java. Education PhD in Mechanical Engineering and Informatics from the Patras University of Technology (University of Patras Polytechnic). Research Interests Evangelos focuses on interdisciplinary research in: AI-driven cultural e-learning (e.g., LYRICEL system for song lyrics analysis). Privacy-preserving data mining techniques, including frequent itemset hiding and database anonymization. Mobile and web-based systems for healthcare monitoring (Care@HOME), maritime surveillance (Mobile Data Fusion), and government services (Olympus architecture). Natural Language Processing for legislative documents and low-resource languages. Personalized identity management solutions and secure digital service frameworks. Articles Trends Recent publications emphasize AI in education, privacy-protecting data algorithms, and mobile/web systems for critical sectors like healthcare and maritime safety. His work addresses challenges in legal informatics, cultural preservation, and EU digital standardization. Awards No scientific awards explicitly mentioned in the provided texts. Advising & Grants Evangelos has collaborated in European and national research programs, including projects on: Ethnicity/naturalization process digitalization (Greek Citizenship Test). Healthcare personnel rostering solutions. Cultural artifact damage assessment systems (Data Engineering for Materials Identification). Labs & Teams He contributes to the MODIP Quality Assurance Unit and participates in research teams developing systems like HappyCruise for maritime safety and OLYMPUS for secure digital identity management.

Chrysafiadi KonstantinaView profile

Assistant Professor

• Fuzzy Logic
• Artificial Intelligence
• Educational Technology
• +5 more

Chrysafiadi Konstantina is an Assistant Professor in the Department of Informatics at the University of Piraeus's School of Information and Communication Technologies. Her work bridges fuzzy logic, artificial intelligence, and educational technology to develop adaptive systems for diverse applications. Research Interests: Her primary focus includes fuzzy logic-driven personalization, intelligent tutoring systems, and machine learning applications in education and safety. Key areas are: Design of adaptive educational games and e-learning platforms AI-enhanced cultural analysis using large language models Smart home safety systems with fuzzy-based emergency alerts Personalized recommendation engines for tourism and entertainment Publication Trends: Recent work (2023-2025) demonstrates extensive use of fuzzy logic combined with machine learning to create context-aware systems. Dominant themes include personalized education (e.g., programming tutors, adaptive quizzes), cultural heritage analysis (e.g., song/poem interpretation with GPT), and safety solutions (e.g., fire prevention in smart homes).

• Machine Learning
• Data Mining
• Evolutionary Computation
• +4 more

Sotiropoulos Dionisios is an Assistant Professor at the Department of Informatics, University of Piraeus. His research focuses on bio-inspired computing and machine learning methodologies, with a specific emphasis on social media analysis. He has held postdoctoral positions at the Athens University of Economics and Business (Department of Management Science and Technology) and serves as a visiting researcher at the Norwich Business School, University of East Anglia. He is a member of the SocioMine research group. Education: PhD in Informatics (2011), University of Piraeus; BSc in Informatics (2003), University of Piraeus His research spans Machine Learning , Data Mining , Evolutionary Computation , Signal Processing , and Intelligent Software Systems . Recent work explores hybrid AI architectures combining knowledge graphs and large language models for cultural analytics, boundary-aware classification, and transparent financial modeling using genetic programming. His publications reveal trends in applying machine learning to social media analytics, healthcare diagnostics, cryptocurrency trading, and cultural domains like music and political speech. Key methodologies include LSTM networks , artificial immune systems , BERT models , and reinforcement learning . As part of the SocioMine research group , he develops user modeling techniques for personalized recommendation systems and investigates opinion formation dynamics in social networks.

Ioannis MagnisalisView profile

Researcher

• eGovernment
• Open Data
• Linked Data
• +5 more

Dr. Ioannis Magnisalis serves as a Researcher and Academic Associate at the International Hellenic University, functioning as Research Associate and Manager within the DORG Research Group. He maintains active collaborations with the Greek Open Source Software Organization (EL/LAK), International University of Greece, and Aristotle University of Thessaloniki on e-Government R&D initiatives, while his primary professional focus remains with the European Commission's data strategy implementation. His research spans eGovernment , Open Data , Linked Data , Semantic Web , Business Semantic Standards , Metadata , Data Analysis , and e-Learning . Specializing in metadata frameworks and semantic technologies, he applies analytical tools (R, Python, SQL, NoSQL) to analyze large-scale survey data including Eurobarometer and Covid-19 datasets, with emphasis on developing interoperable standards (ESCO, CPSV, IMS, BPMN) for public sector data ecosystems. His 2020-2024 publications reveal consistent focus on digital transformation frameworks across public administration and education sectors, with recurring themes in data-centric service provision, government big data ecosystems, and AI applications. Key contributions include systematic reviews on digital transformation barriers and innovative frameworks like DaLiF for data lifecycle management, demonstrating strong interdisciplinary integration of semantic web technologies with practical governance challenges. As a core member of the DORG Research Group, he contributes to projects including JustReDi (addressing resilience and digital transition in Greek regions) and GR digiGOV-innoHUB (delivering digital skills education and transformation workshops), leveraging his expertise in IMAPS (Interoperability Maturity Assessment) for public service evaluation.

Christos BerberidisView profile

Research Fellow

• Machine Learning
• Data Mining
• Natural Language Processing
• +4 more

Dr. Christos Berberidis is a Research Fellow and Faculty Member at the International Hellenic University, where he coordinates activities within the DORG Research Group. His academic foundation includes a BSc in Informatics from Aristotle University of Thessaloniki (1998), an MSc in Information Systems Engineering from the University of Manchester (1999), and a PhD from Aristotle University's Department of Informatics. Research Focus Dr. Berberidis specializes in interdisciplinary domains at the intersection of computer science and real-world applications: Core methodologies : Machine Learning, Data Mining, Natural Language Processing, and Deep Learning Applied research : Disinformation analysis, fake news detection, semantic web technologies, and bioinformatics Emerging domains : Digital governance transformation and ethical AI frameworks Publication Trends His scholarly output demonstrates evolving focus areas: early work centered on bioinformatics and transaction database mining (2005-2013), shifting toward semantic web applications (2010-2013), and currently emphasizing disinformation analysis, digital government, and AI ethics (2021-present). Methodological consistency in machine learning underpins all research phases. Professional Activities Former Visiting Researcher at Purdue University's Department of Computer Sciences Adjunct Lecturer at Aristotle University teaching programming methodologies Research consultant and project manager for private sector R&D initiatives Active contributor to EU projects including JustReDi (regional digital transition) and digiGOV-innoHUB (digital skills development) Team Affiliations Dr. Berberidis coordinates research at the DORG Group, focusing on data-centric governance, AI applications, and digital innovation within the International Hellenic University ecosystem.

Konstantinos KotisView profile

Associate Professor

• Knowledge Engineering
• Semantic Web
• Internet of Things (IoT)
• +7 more

Konstantinos Kotis is an Associate Professor and Team Leader at the Department of Cultural Technology and Communication, University of the Aegean, and a Research Associate at the AI Lab of the University of Piraeus. He leads the Semantic Web of Things group and directs the Postgraduate Studies in Cultural Informatics. Kotis has held roles including IT Manager at regional governmental bodies (2000–2018) and committee member for entry-level exams and procurement since 2019. He is also Deputy Manager for student placements in industry and government sectors. Education: BSc in Computation from the University of Manchester, UK, and PhD in Information Management (Knowledge Representation/Management) from the University of the Aegean, Greece. Postdoctoral roles include positions at the University of the Aegean’s AI Lab (2010–2015), VTT Technical Research Centre of Finland as an ERCIM fellow (2011–2012), and the University of Piraeus’s AI Lab (2013–2018). Research interests span Knowledge Engineering , Semantic Web technologies , Semantic Data Management , and IoT . He focuses on ontology development for domains like healthcare (e.g., Wear4PDmoveOnto for PD patient monitoring), cybersecurity in IoT (IoT Trust Ontology), and semantic integration of cultural heritage data. Kotis has authored over 100 peer-reviewed publications (h-index 21) and contributed to projects such as Grid4All (FP7, 2008), iCore (FP7, 2012), and Time Machine (H2020, 2019). Scientific awards include the ERCIM ‘Allain Bensoussan’ post-doctoral fellowship (2011–2012). His work bridges academic research and practical applications, emphasizing semantic interoperability, fairness in AI, and ontology-driven decision support systems. He actively supervises graduate/postgraduate research and collaborates on ontology frameworks like the Semantic Social Network of Things.

Doulkeridis ChristosView profile

Professor

• Big Data
• Data Management in Cloud Computing
• Query Processing
• +5 more

Christos Doulkeridis is a Professor at the Department of Digital Systems, University of Piraeus. Specializing in big data management, distributed systems, and mobility analytics, he has led projects such as CHOROLOGOS (ELIDEK-funded) and contributed to EU initiatives like datAcron and Track&Know. He holds Marie-Curie and ERCIM fellowships, and his work emphasizes energy-efficient data architectures and semantic trajectory analysis. Education: PhD in Informatics, Athens University of Economics and Business (2007) MSc in Informatics, Athens University of Economics and Business (2003) Diploma in Electrical & Computer Engineering, National Technical University of Athens (2001) Research Interests: Big data analytics, cloud computing, spatiotemporal query processing, mobility forecasting (e.g., traffic patterns, maritime monitoring), and semantic trajectory modeling. His work bridges theory with practical applications in smart cities and environmental sustainability. Awards: Winner of SemEval’17 Task4 (sentiment analysis) Best Paper Award at EuroVA’19 Michalis Dertouzos Award (2004) for Human Face of Computing Grants & Projects: Principal Investigator for CHOROLOGOS (semantic spatiotemporal data) Core contributor to datAcron (maritime data ontology) European projects: BigDataStack, RoadRunner (ARISTEIA II) Labs & Teams: Leads research teams developing frameworks like SPARTAN (semantic integration) and ARGO (trajectory prediction). Collaborates on open-source tools like ST_VISIONS (spatiotemporal visualization) and NoDA (unified NoSQL access).

Christos NomikosView profile

Associate Professor

• Algorithm Design and Analysis
• Approximation Algorithms
• Computational Complexity
• +3 more

Christos Nomikos is an Associate Professor at the Department of Computer Science and Engineering, University of Ioannina. He holds a PhD from the National Technical University of Athens (NTUA) and has been a faculty member since 2003. His roles include teaching and research supervision in computer science disciplines. Education: Diploma in Electrical Engineering, NTUA, 1992 PhD in Computer Science, NTUA, 1997 Research Interests: Christos Nomikos focuses on theoretical computer science and logic, including algorithm design and analysis, computational complexity, formal languages, logic programming, and graph theory. His work explores foundational aspects of programming languages and their semantics, as well as applications in knowledge representation and automated reasoning. Teaching: In the 2024-25 academic year, he teaches Discrete Mathematics II , Principles of Programming Languages , Computational Complexity , and Approximation Algorithms . He emphasizes structured learning approaches and maintains a dedicated ecourse page for students. Advising & Grants: He supervises undergraduate thesis projects in computer science, with a focus on theoretical topics like Turing machine transformations and Boolean grammar algorithms. No explicit grant information is provided in the texts. His advising process involves rigorous academic evaluation and prefers candidates with strong performance in core computer science courses. Labs/Teams: While no specific lab or team affiliations are mentioned, his research collaborations include work with international conferences and journals, indicating active participation in academic networks.

• Artificial Intelligence
• Automated Planning
• Machine Learning
• +7 more

Dimitris Vrakas is an Assistant Professor at the Department of Informatics, School of Informatics, Aristotle University of Thessaloniki (AUTh). He holds a PhD in Intelligent Planning Systems and has conducted post-doctoral research focusing on Planning for the Semantic Web. His professional experience includes roles as a Lecturer (per Greek law 407/80), Informatics Instructor in multiple educational institutions, and IT consultant for medium-sized enterprises through the Go-online Project. Education: Bachelor of Science (1995–1999): Informatics, Aristotle University of Thessaloniki PhD (2000–2004): Intelligent Planning Systems, Dept. of Informatics, AUTh Postdoctoral Research (2005–2007): Planning for the Semantic Web, AUTh Research Interests: Automated Planning, Heuristic Functions, Intelligent Autonomous Systems, Machine Learning Applications (Energy Management, NILM), Semantic Web Services, and Smart Environment Technologies. His work bridges theoretical AI advancements with practical implementations in energy systems and emergency response. Publications: Over 45 papers (including 15 journal articles) and 5 book chapters, with a focus on energy disaggregation, evacuation algorithms, and semantic web composition. His work demonstrates expertise in applying advanced techniques like GANs for data generation and reinforcement learning for adaptive planning. Awards: 2025 ACM SIGMOD Test-of-Time Award for contributions to time-series clustering Advising & Grants: Active in guiding PhD candidates (as per recent calls) and coordinating projects like the IRIS RISK PARADIGM for industrial safety. His work involves developing smart university platforms for energy monitoring and collaborating on EU-funded initiatives. Labs & Teams: Member of the Intelligent Systems Lab at AUTh, contributing to projects like the BOnSAI ontology for smart buildings and the IRISPortal for risk management. He also coordinates the Hellenic Artificial Intelligence Society and chairs conferences like SETN 2016.

Zisimopoulos VassiliosView profile

Associate Professor

• Combinatorial Optimization
• Operations Research
• Algorithms
• +3 more

Zisimopoulos Vassilios is an Associate Professor at the Department of Informatics, National and Kapodistrian University of Athens. He holds an Emeritus Professor capacity and has held roles including Professor at the University of Paris-Nord and Maitre de Conferences at ORSAY University. His research focuses on Combinatorial Optimization, Algorithms, Graph Theory, and Parallel Systems. He has led research initiatives such as the 'Parallel and Distributed Algorithms' axis at LRI, ORSAY. Education: Habilitation (1996, ORSAY), PhD (1984), DEA (1982) in Computer Science from ORSAY; Master's (1980) and Mathematics Degree (1978) from Athens University. His professional career includes roles at ALFA S.A., Army General Staff (HERMES Program), and EDF. He teaches courses on Algorithmic Operations Research and Complexity. No awards or recent publications are explicitly listed in the provided text.