Find Academic Supervisors

• 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).

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.

• Algorithm design and analysis
• Combinatorial optimization
• Theoretical Computer Science
• +2 more

Stavros Kolliopoulos is a Professor in the Department of Informatics and Telecommunications at the National and Kapodistrian University of Athens. He has held this position since 2016, following progression from Assistant Professor (2004-2010) to Associate Professor (2010-2016) within the same department. His educational background includes: Diploma in Computer Engineering and Informatics from University of Patras (1993) MS in Computer Science from Dartmouth College (1995) PhD in Computer Science from Dartmouth College (1998) Professor Kolliopoulos specializes in algorithm design and analysis and combinatorial optimization , with teaching expertise spanning Graph Theory, Computer Science Mathematics, Approximation Algorithms, and Linear Programming Theory. His research bridges theoretical computer science with practical optimization problems. Prior academic appointments include: 1999-2004: Assistant Professor, Department of Computing and Software, McMaster University, Canada 1998-1999: Postdoctoral Researcher, NEC Research Institute, Princeton, USA Spring 2012 & 2013: Visiting Associate Professor, IEOR Department, Columbia University, New York He has served on program committees for major conferences including APPROX 05, ACM-SIAM SODA 06, CAAN 06, ISCO 12, ICALP 13, and COCOON 16. Contact information: Office: B6, Informatics building Phone: +30 210 7275108 Email: sgk@di.uoa.gr

Theodosiadou OuraniaView profile

Researcher

• Stochastic modeling
• Time series analysis
• Applied probabilities
• +3 more

Ourania Theodosiadou is a Researcher at the Department of Mathematics, Aristotle University of Thessaloniki (since Oct 2024). Previously, she served as a Postdoctoral Researcher at the Institute of Information and Communication Technologies (CERTH) from 2019 to 2024 and held multiple contracted lecturer roles at Aristotle University and the University of Macedonia. She earned a PhD in Mathematics (2019) and a Master's in Statistics and Modeling (2014), both from AUTH, with a focus on stochastic processes and financial applications. Her doctoral thesis explored latent stochastic processes with jumps in finance under Prof. Georgios Tsaklidis. Her research interests span stochastic modeling, time series analysis, computational statistics, and machine learning. Recent work includes real-time threat assessment using Hidden Markov Models (2023), cryptocurrency transaction analysis for illegal activity detection (2023), and centrality-based network node identification (2022). Methodological contributions include state space modeling with constraints (2021) and Kalman filter applications for jump detection in financial markets (2017-2019). Publications reflect interdisciplinary applications in finance, security, and computational methods. Current work extends AI-driven solutions against terrorist financing and explores blockchain forensics through time series analysis.

Livieris IoannisView profile

Assistant Professor

• Machine Learning
• Optimization Methods
• Deep Learning
• +7 more

Livieris Ioannis is an Assistant Professor in the Department of Statistics and Insurance Science at the University of Piraeus. He holds academic positions including Adjunct Professorships at the University of the Peloponnese and Technological Educational Institute of Western Greece. His research focuses on optimization methods for neural networks, machine learning, ensemble techniques, and their applications in healthcare, finance, education, and environmental science. Education: Ph.D. in Mathematics (2012), University of Patras M.Sc. in Computational Mathematics & Informatics in Education (2008), University of Patras B.Sc. in Mathematics (2006), University of Patras Research Interests: Dr. Livieris specializes in developing optimization algorithms for neural networks, semi-supervised learning, and ensemble methods. His work emphasizes practical applications such as time series forecasting (financial, environmental), medical image analysis (cancer detection, X-ray classification), and educational data mining (student performance prediction). He also explores explainable AI frameworks to enhance transparency in deep learning models. Key Contributions: He has contributed to over 50 peer-reviewed articles, including work on weight-constrained neural networks, gradient-based optimization, and CNN-LSTM models for cryptocurrency forecasting. His research has been recognized with inclusion in Stanford’s top 2% scientists (2020–2023) and a best paper award at HERCMA ’09. Awards & Roles: Associate Editor, Evolving Systems (Springer) Reviewer for 50+ journals including Neurocomputing and IEEE Transactions on Neural Networks Grants & Projects: Principal investigator in EU-funded projects like NEUROCLIMA (climate resilience via AI), ORBIS (democratic participation via AI), and PVAdapt (sustainable energy systems). He also leads initiatives in explainable AI for medical imaging and causal effect estimation in social science. Labs & Teams: Active in interdisciplinary teams at the University of Piraeus, focusing on AI-driven solutions in education, healthcare, and environmental monitoring. Collaborates with institutions like the IEEE and the Hellenic Association of ICT in Education.

Dimitrios MichailView profile

Associate Professor

• Algorithms
• Graph Algorithms
• Machine Learning
• +6 more

Dimitrios Michail is an Associate Professor in the Department of Computer Science and Telecommunications at Harokopio University. He holds a Diploma in Electronic Engineering and Computer Engineering from the Polytechnic University of Crete, a Master's in Computer Science, and a Ph.D. in Algorithms from the Max-Planck Institute for Computer Science. His research focuses on algorithms for modern computational models, graph algorithms, machine learning, and their applications in computer vision, wildfire prediction, and social network analytics. He has been involved in European projects like TELEIOS and DeepCube. His work intersects earth observation, autonomous systems, and AI-driven solutions for environmental challenges. Recent research includes Earth-as-a-Graph frameworks for wildfire forecasting and novel datasets for InSAR analysis. He has contributed to libraries like JGraphT and JHeaps, emphasizing algorithmic efficiency and open-source tools. Michail's publications span graph theory, deep learning, and remote sensing applications, with a focus on real-world problems like flood mapping and fake news detection. He has collaborated on projects addressing urban mobility, public transport optimization, and disaster preparedness through spatio-temporal modeling.

• Graph Theory
• Parameterized Complexity
• Graph Algorithms
• +4 more

Dimitrios Zoros holds the position of Lecturer at the Department of Mathematics of the National and Kapodistrian University of Athens (NKUA). His primary affiliations include NKUA and the MPLA (MPLA's formal English name?). He is actively involved in teaching courses such as Recursion Theory and Data Structures. His research focuses on Graph Theory, Parameterized Complexity, and related areas. Education: BSc in Mathematics from NKUA, MSc in Logic, Algorithms, and Computation from MPLA, and a PhD in Logic and Algorithms from NKUA under Prof. Dimitrios M. Thilikos. Research Interests: Graph Obstruction Sets, Graph Searching, Parameterized Complexity, Computability, Algorithms, Logic/Set Theory, and Discrete Mathematics. His work contributes to theoretical foundations of algorithms and graph theory applications.

Christos KaklamanisView profile

Professor

• Algorithm design and analysis
• Computational complexity
• Communication networks
• +7 more

Christos Kaklamanis is a Full Professor and Chair of the Department of Computer Engineering and Informatics at the University of Patras, Greece, with significant leadership roles including President of Computer Technology Institute & Press "Diophantus" (CTI) from 2016-2021. His academic career includes serving as Vice-Chair of the Department (2009-2011 and 2003-2005) and Director of the Division of Applications and Foundations of Computer Science (1997-2003). Dr. Kaklamanis earned his S.B. in Computer Science and Engineering from MIT (1986), followed by S.M. (1989) and Ph.D. (1992) from Harvard University. He completed postdoctoral work at DIMACS (Center for Discrete Mathematics and Theoretical Computer Science) and worked as a research consultant for NEC Research Institute, Princeton. His research spans theoretical and applied computer science with expertise in algorithm design, computational complexity, communication networks, parallel and distributed computing, and algorithmic game theory. He has made significant contributions to network algorithms, particularly in optical networks and wireless communication, with recent expansion into computational social choice and educational technology applications. His work bridges theoretical foundations with practical implementations, especially in developing educational tools that make complex algorithms accessible. Analysis of his publication history reveals an evolution from foundational algorithm research toward practical applications of theoretical concepts, particularly in educational technology and community-oriented computing solutions. His recent work focuses on creating web and mobile applications that address real-world challenges in campus management, cultural tourism, and community engagement while maintaining strong theoretical underpinnings. Elected member of EATCS council (2009-2021) Active in ACM, IEEE, SIAM, and Technical Chamber of Greece Program Committee Chair for WAOA (Workshop on Approximation and Online Algorithms) Conference co-chair for ICALP (International Colloquium on Automata, Languages and Programming) As an educator, Dr. Kaklamanis has taught core courses including Theory of Computation, Parallel Algorithms, Communication Algorithms, and Cryptography. He has led major research initiatives including EU-FET projects CRESCCO and AEOLUS (as coordinator), EU-ICT Project EULER, and the "DIGITAL SCHOOL" project focused on national educational platforms. His leadership extends to directing research laboratories in Combinatorial Algorithms, Distributed Systems and Telematics, and Pattern Recognition. His current work continues to bridge theoretical computer science with practical applications, particularly in educational technology, with numerous recent publications focused on developing interactive learning tools and platforms that leverage algorithmic principles for educational and community benefit.

Metaftsis VasileiosView profile

Professor

• Geometric Group Theory
• Hyperbolic Groups
• Relatively Hyperbolic Groups
• +4 more

Vasileios Metaftsis is a Professor at the Department of Mathematics, University of the Aegean, located in Karlovassi, Samos, Greece. His office is situated in the "Regal Mansion" building (Office B3), and he holds regular office hours Monday through Friday from 10:00 to 12:00. His primary contact email is vmet@aegean.gr. Education: Ph.D. in Mathematics from Heriot-Watt University, Edinburgh, Scotland B.Sc. in Mathematics from the University of Athens, Greece Research Focus: Professor Metaftsis specializes in Geometric Group Theory, with emphasis on hyperbolic and relatively hyperbolic groups, subgroup separability (LERF groups), residual properties (e.g., finiteness, nilpotence), Hopfian groups, linearity of groups, and Lie algebras associated with group structures. His work bridges combinatorial, geometric, and algebraic approaches to group theory. Publication Trends: His 25+ publications (2007–2022) predominantly explore residual properties of groups, automorphisms (especially IA-automorphisms), Lie algebras linked to McCool and Artin groups, HNN-extensions, and topological rigidity. Recent work (2020–2022) focuses on residual nilpotence and the interplay between group theory and Lie algebras. Collaborations include researchers like C. Kofinas and A.I. Papistas. Awards & Honors: No scientific awards or fellowships are documented in available sources. Academic Service: He actively contributes to academia through course instruction (Algebra, Galois Theory) and examination duties at the University of the Aegean. No information is available regarding student supervision, grant funding, or lab affiliations.

• Operations Research
• Supply Chain Management
• Logistics
• +4 more

Dr. Panagiotis Repoussis serves as Associate Professor of Operations Research and Supply Chain Management at the Department of Marketing and Communication within the School of Business at Athens University of Economics and Business (AUEB). Previously, he held positions as Assistant Professor at Stevens Institute of Technology and visiting Lecturer at the University of Piraeus and Bayes School of Business at City University of London. His academic foundation includes a Diploma in Chemical Engineering from the National Technical University of Athens (2002), followed by graduate studies at Imperial College London and AUEB where he completed his doctoral dissertation in November 2008. His educational trajectory reflects a strategic shift from chemical engineering to operations research specialization. Dr. Repoussis specializes in Operations Research with concentrated expertise in Supply Chain Management , Vehicle Routing and Scheduling , and Production Systems Optimization . His research integrates mathematical modeling with computational intelligence to solve complex combinatorial optimization problems across logistics networks, manufacturing operations, and transportation systems. Key methodological contributions include advanced algorithms for dynamic scheduling under uncertainty and real-time decision support frameworks. Analysis of his 15 most recent publications (2019-2025) reveals a strong research trajectory toward Industry 4.0 applications, with increasing focus on IoT/AGV integration in manufacturing, disruption-resilient logistics, and robust optimization under stochastic conditions. Vehicle routing problems remain his dominant research theme, now extended to cross-docking operations, profit-oriented routing, and humanitarian logistics contexts. As principal investigator, Dr. Repoussis has secured research funding from NSF, EU programs, non-profit organizations, and private sector partners across Europe and North America. His academic service includes editorial board membership for Transportation Research Part E and Advances in Operations Research, leadership roles in the Hellenic Operational Research Society and Production and Operations Management Society, and organization of major conferences including Odysseus and MathSports. His professional activities demonstrate deep engagement with both theoretical advancements and practical implementations, particularly through development of decision support systems for waste management, healthcare logistics, and energy-aware production scheduling. Current initiatives emphasize the convergence of prescriptive analytics with emerging digital technologies in operational planning contexts.