Find Academic Supervisors

• Network and telecommunications economics
• Broadband network service charging models
• Regulatory policy and auction design
• +7 more

Professor Kourkoubetis Konstantinos is a faculty member at the Department of Informatics, School of Information Sciences and Technology, Athens University of Economics and Business (AUEB). He holds a Ph.D. in Electrical Engineering and Computer Science from the University of California, Berkeley, following his Master's degree from the same institution and undergraduate degree from the National Technical University of Athens. His research focuses on network economics and telecommunications, with particular expertise in peer-to-peer systems, network pricing models, and high-speed network technologies. His work bridges theoretical computer science with practical telecommunications applications, developing mathematical models for network resource allocation and economic incentives. His publication record demonstrates consistent contributions to top networking conferences and journals, with a notable book Pricing Communication Networks: Economics, Technology and Modeling (Wiley, 2003) serving as a key reference in the field. His research shows a clear progression from theoretical network models to practical economic applications in telecommunications infrastructure. Professor Kourkoubetis has led significant research projects including MMAPS (Economic models for peer-to-peer systems) and M3I (Internet billing systems), and has contributed to major initiatives like the EuroNGI Network of Excellence. His work with the Energy Regulatory Authority on power import rights auctions demonstrates real-world impact of his theoretical research. Scientific Director of Communications and Networks Center, University of Crete (1996-2000) Head of Telecommunications and Networks Department, Institute of Informatics, FORTH (1990-1999) Head of Laboratory of Economics and Systems Theory, AUEB (2000-present) Member of National Research Council (2002-2003) Board Member of Information Society SA (2003-2004) His leadership extends to program committees for major conferences including INFOCOM and ICQT, reflecting his standing in the international networking research community. His dual expertise in theoretical computer science and economic modeling has positioned him as a key contributor to the development of economic frameworks for modern network infrastructure.

Nikos SpanoudakisView profile

Assistant Professor

• Multi-Agent Systems
• Artificial Intelligence
• Agent-Oriented Software Engineering
• +11 more

Nikos Spanoudakis is an Assistant Professor at the Department of Electronic Engineering of Hellenic Mediterranean University , with concurrent research collaboration at Technical University of Crete . He holds a PhD in Computer Science (Artificial Intelligence) from Paris Descartes University (2009, "Très Honorable"), an MSc in Organization and Administration from Technical University of Crete, and a Diploma in Computer Engineering and Informatics from University of Patras. Research Focus: Multi-Agent Systems (AOSE, Computational Argumentation), Model-Driven Engineering , Smart Buildings , IoT , and Artificial Intelligence Applications in Ambient Intelligence, Finance, and Education Key Contributions: Created ASEME Methodology and AMOLA Language for agent modeling, developed Gorgias-B argumentation framework, and designed Kouretes Statechart Editor for robotic behavior specification His recent publications reveal a strong trend in Explainable AI (2023: Explainable Argumentation as a Service ), Smart Energy Systems (2025: Engineering IoT-Based Open MAS for Large-Scale V2G/G2V ), and EdTech Innovations (2024: Role Assignment in Programming Courses ). He has received prestigious ACM Senior Member (2023) and IEEE Senior Member (2012) distinctions, along with teaching recognition (2021) from Technical University of Crete. Academic Leadership: Serves as Editor for Springer Nature's Computer Science journal and has reviewed for 15+ top-tier publications including IEEE Intelligent Systems and Journal of Web Semantics Conference Involvement: Program Committee Member for 20+ international conferences (IJCAI, ECAI, AAMAS, AAAI) and organizer of multiple European Agent Systems Summer Schools

Agiropoulos CharalamposView profile

Assistant Professor

• Applied Econometrics
• Computational Finance
• Labor Economics
• +3 more

Dr. Charalampos Agiropoulos is an Assistant Professor of Economic Analysis at the Department of Economics, University of Piraeus. He holds a Ph.D. in Economics/Econometrics (2018) and has expertise in quantitative methods, computational finance, and econometrics. Prior roles include Postdoctoral Fellow at the University of Piraeus, Senior Researcher at Gnosis Research Center (Illinois Institute of Technology), and industry positions as CEO of TMEDE Microfinance Solutions and Chief Risk Officer at TMEDE Fund. Education: Ph.D. in Economics/Econometrics (2018), University of Piraeus M.Sc. in Applied Statistics (2007), University of Piraeus B.Sc. in Mathematics (2002), National and Kapodistrian University of Athens His research focuses on applied econometrics, computational finance, and labor/environmental economics. Current projects analyze the shadow economy's impact on EU competitiveness and machine learning in financial time-series. He has published in journals like International Journal of Finance and Economics and presented at global conferences. Teaching includes courses in quantitative methods, business analytics, and international economics. His work integrates practical industry insights with academic rigor, bridging theory and real-world applications.

Pavlidou VasilikiView profile

Professor

• High-energy astrophysics
• Cosmology
• Polarimetry of high-energy sources
• +5 more

Professor Vasiliki Pavlidou holds a faculty position in the Department of Physics at the University of Crete. She is also Director of the Institute of Astrophysics at FORTH and Skinaka Observatory. Her career includes postdoctoral roles at the University of Chicago and Caltech, followed by visiting research at the Max-Planck Institute. She has led major initiatives like the RoboPol and PASIPHAE projects, focusing on blazar polarimetry and Galactic magnetic field mapping. Her research integrates high-energy astrophysics, cosmology, and particle physics probes through cosmic rays. Key achievements include securing an ERC Synergy Grant (2024) and receiving the L’Oréal-UNESCO Women in Science Prize (2010). She has pioneered studies on cosmic birefringence, milli-lensing, and turnaround radius cosmology. Education: BSc in Physics (Aristotle University of Thessaloniki, 1999); PhD in Physics (University of Illinois Urbana-Champaign, 2005) Positions: Deputy Director of Institute of Astrophysics-FORTH (2021–); Associate Editor of Astronomy & Astrophysics (2023–) Research Interests: Her work spans cosmic microwave background polarization studies via LiteBIRD, galactic magnetic field tomography, and ultra-high-energy cosmic ray deflection modeling. She investigates blazar variability mechanisms, dark matter/dark energy probes through galaxy clusters, and synergies between particle physics and astrophysical observations. Recent focus includes applying machine learning to cosmological structure analysis and developing novel polarimetric instrumentation. Impact: Over 70 peer-reviewed publications since 2005, including seminal works on CMB lensing forecasts, magnetic field reconstruction algorithms, and blazar polarimetric monitoring. Her ERC-funded MW-Atlas project aims to create a 3D galactic map. She also contributes to astronomy education through teacher training programs (ABATAC project). Grants: ERC Synergy Grant (2024), L’Oréal-UNESCO Prize (2010), Einstein Fellowship (2008–2011) Leadership: Directs two major facilities and oversees international collaborations like PASIPHAE (pan-European optical polarimetry survey)

Angelos AlexopoulosView profile

Assistant Professor

• Theoretical and Applied Econometrics
• Bayesian Analysis
• Computational Statistics
• +4 more

Angelos Alexopoulos is an Assistant Professor at the Department of Economics , Athens University of Economics and Business . He has held Research Associate positions at the University of Cambridge, University College London, and University of Exeter in the UK. PhD: Athens University of Economics and Business Research Focus: Computational Statistics, Econometrics, Bayesian Analysis, Network Modelling Publications span Bayesian inference, epidemic forecasting, machine learning for fraud detection, and econometric methodology. Key journals include Journal of the Royal Statistical Society , Journal of Computational and Graphical Statistics , and Statistics and Computing . 2024: Gaussian invariance in MCMC 2024: Epidemic nowcasting models 2023: VAT fraud detection with ML Awards include certifications in Deep Learning (Coursera), Blockchain (edX), and Object-Oriented R Programming (DataCamp).

Spyros VosinakisView profile

Associate Professor

• Virtual Reality
• Augmented Reality
• Mixed Reality
• +6 more

Spyros Vosinakis is an Associate Professor in the Department of Product and Systems Design Engineering at the University of the Aegean , Greece. He leads the Interactive Systems Design Laboratory and specializes in Virtual Reality (VR), Augmented Reality (AR), and their applications in education, cultural heritage, and serious games. Education: BSc in Informatics, University of Piraeus, Greece MSc in Computer Graphics & Virtual Environments, University of Hull, UK PhD in Informatics, University of Piraeus, Greece (2003) Research Interests: Focuses on immersive technologies for cultural heritage dissemination, natural user interfaces, and adaptive virtual environments. His work bridges digital humanities with interaction design, emphasizing embodied interaction and accessibility. Recent projects include VR applications for archaeological sites like Delphi, and AR installations for intangible heritage preservation. Publications: Over 70 peer-reviewed papers in journals like Virtual Reality , British Journal of Educational Technology , and International Journal of Computational Methods in Heritage Science . Themes include interaction design in VR, serious games for STEM education, and ethical representation of cultural heritage. Grants & Projects: Principal investigator in 11 R&D projects (3 as coordinator). Collaborates with UNESCO, EU initiatives, and museums on digital heritage preservation. Current work includes XR applications for industrial heritage and accessibility in virtual museums. Labs & Teams: Directs the Interactive Systems Design Laboratory , fostering interdisciplinary projects in HCI, game design, and heritage technology. Advises on industrial partnerships for AR/VR solutions in education and tourism.

• Large-scale Scientific Computing
• Computational Linear Algebra
• Parallel and Distributed Processing
• +4 more

Professor Efstratios Gallopoulos is a faculty member at the Department of Computer Engineering & Informatics , University of Patras, where he holds the Division of Computer Software . He currently serves as Deputy Department Chair and Director of the High Performance Information Systems Laboratory (HPCLab) . His academic career spans multiple institutions including the University of Illinois at Urbana-Champaign, University of California Santa Barbara, and collaborations with INRIA Rennes and NASA Goddard Space Flight Center. Education : B.Sc. in Mathematics (First Class Honours) from Imperial College London (1979) Ph.D. in Computer Science from University of Illinois at Urbana-Champaign (1985) Research Focus : His work centers on Large-scale Scientific Computing with emphasis on Computational Linear Algebra , Parallel/Distributed Processing , and Data Mining . Recent publications highlight innovations in Randomized Numerical Linear Algebra , Heterogeneous Cluster Scheduling , and GPU-Accelerated Inversion Techniques . Article Trends : His research bridges High-Performance Computing with Data Science , focusing on scalable algorithms for Matrix Computations , Recommender Systems , and Biomarker Analysis . The work spans theoretical advancements (e.g., Givens Rotations ) and practical implementations (e.g., pylspack library). Scientific Awards : NASA Group Achievement Award for Massively Parallel Processor (MPP) development ACM SIGWEB Hypertext Ted Nelson Newcomer Award (2012) Advising and Grants : He has advised numerous research projects funded by European Research Council , Hellenic Foundation for Research and Innovation (HFRI) , and international bodies like the US National Science Foundation. Notably, he co-organized the 2015 Gene Golub SIAM Summer School and served as Chair of the SIAM Gene Golub Summer School Committee (2020-24). Labs and Teams : He leads the High Performance Information Systems Laboratory (HPCLab) and co-directs the interdisciplinary graduate program Data Driven Computing and Decision Making . His teams have contributed to the Cedar vector multiprocessor project at UIUC and Text-to-Matrix Generator (TMG) tools for data mining.

Eleni Ekaterini LeligouView profile

Professor

• Computer Networks
• Industrial Web Server Applications
• Blockchain Technology
• +7 more

Professor Eleni Ekaterini Leligou is a full-time faculty member at the University of West Attica , serving in the Department of Industrial Design and Production Engineering since November 2017. Previously, she taught at the Technological Educational Institution of Central Greece (2007–2017) and was a research associate at the National Technical University of Athens (1998–2007). Education Diploma in Electrical and Computer Engineering, National Technical University of Athens (1995) PhD in Electrical and Computer Engineering, National Technical University of Athens (1998–2002) – thesis graded “Excellent” Research Interests Her work lies at the intersection of computer networks, blockchain, Internet of Things, and artificial intelligence with a strong emphasis on industrial and energy-management applications . Specific themes include trust and routing protocols for sensor networks, FPGA-based acceleration of network algorithms, blockchain-enabled network security, IoT solutions for smart energy systems, and federated-learning models for maritime energy optimisation. Teaching Contributions At undergraduate level she delivers core courses on Internet Technology in the Digital Industry, Cloud Computing Engineering and Data Security and Protection . At postgraduate level she contributes to four distinct programmes: Artificial Intelligence and Deep Learning (inter-departmental MSc), Information Systems (Hellenic Open University), Production and Service Automation , and New Technologies in Shipping and Transportation . Publications Overview Her 2024–2025 scholarly output demonstrates an aggressive push toward next-generation networks (6G, LiFi, RIS), blockchain integration in diverse domains (gaming, supply-chain, PLC security), and AI/ML methodologies ranging from federated learning to GAN-based image generation, all applied to industrial, maritime and educational contexts. Laboratory & Teams She conducts her research within the Computational Intelligence and Intelligent Systems Laboratory – EYNES , leading projects that blend networked embedded systems, AI and blockchain technologies.

• Smart Grids
• Microgrids
• Energy Systems
• +3 more

Iasonas Kouveliotis-Lysikatos is an Assistant Professor at the Department of Electrical & Computer Engineering of the University of Peloponnese since 2024. He previously worked as a postdoctoral researcher at the Royal Institute of Technology (KTH) in Stockholm (2019-2022) and as a researcher/engineer in industrial companies, focusing on Smart Grids, electromobility, and open-source energy system software development. Education : PhD in Power Systems (NTUA, 2019); BSc in Electrical and Computer Engineering (NTUA, 2013) His research spans distributed smart grid algorithms , multi-agent energy management systems , and blockchain applications in power systems . He has published over 20 papers, developed open-source frameworks like SpineOpt , and modeled intraday electricity markets, energy communities, and decentralized grid control. His recent publications focus on machine learning for electricity price forecasting , multi-energy system optimization , and blockchain platforms for decentralized distribution networks . He has contributed to open-source energy modeling tools and analyzed Nordic power system data and small-scale hydro coordination. He provides office hours at Building Z (1st Floor) on Tuesdays (8:00-9:00) and Wednesdays (09:00-10:00) at the University of Peloponnese. He is actively involved in community research projects funded by national and European bodies.

Sotirios XydisView profile

Assistant Professor

• Hardware/Software Co-design
• High Level Synthesis
• Hardware Accelerators
• +7 more

Sotirios Xydis is an Assistant Professor in the Division of Computer Science at the School of Electrical and Computer Engineering, National Technical University of Athens (NTUA), with prior faculty appointment at Harokopion University of Athens (2020-2023). He maintains ongoing collaboration with the Institute of Communication and Computer Systems (ICCS) since 2014 and previously served as an engineer at HEDNO (2015-2018) and postdoctoral researcher at Politecnico di Milano (2011-2013). His academic credentials include: BSc in Electrical and Computer Engineering, NTUA (2005) MSc in Techno-Economic Systems, NTUA (2011) PhD in Electrical and Computer Engineering, NTUA (2011) Dr. Xydis specializes in hardware/software co-design , energy-efficient hardware acceleration , and memory management for embedded and cloud-edge systems. His research bridges low-power circuit design , heterogeneous architecture optimization , and resource management frameworks , with particular emphasis on AI workloads and serverless infrastructures. Current projects target Edge AI accelerators (CONVOLVE), disaggregated memory systems, and LLM inference optimization through hardware-aware algorithms. Analysis of his 2023-2025 publications reveals three dominant trends: (1) Energy-efficient hardware accelerators for Edge AI using approximate computing techniques, (2) Memory/resource management innovations for disaggregated serverless environments, and (3) GPU/FPGA optimization for LLM inference through dynamic frequency scaling and predictive throttling. These works consistently address the power-performance tradeoffs in heterogeneous computing systems. His scientific recognition includes: Best Paper Award, IEEE/NASA/ESA AHS (2007) Best Paper Award, ACM PARMA (2013) Best Paper Award, ACM Computing Frontiers (2020) Hipeac Award at DAC (2019, 2020) Dr. Xydis has secured over 15 European/national research grants as Principal Investigator and Technical Coordinator, focusing on hardware acceleration frameworks and energy-efficient computing. His advising encompasses graduate research in hardware design and optimization, though specific student names aren't publicly listed. Current projects include CONVOLVE for Edge AI and CollectiveHLS for collaborative hardware synthesis. He is a core member of NTUA's Microelectronics Laboratory (Microlab) and collaborates with ICCS on hardware acceleration projects. His team develops frameworks like CollectiveHLS and throttLL'eM, with active participation in DATE, DAC, and ISCA conference communities.

Georgios AtsalakisView profile

Associate Professor

• Technological Forecasting
• Market Prediction and Modeling
• Data Analysis
• +3 more

George S. Atsalakis is an Associate Professor at the School of Production Engineering and Management, Technical University of Crete. He holds an MBA from the Technical University of Crete, a Master's Degree in Organization and Management, and a PhD in Stock Market Forecasting from the same institution. Doctoral Degree, Technical University of Crete (2006) Postgraduate Diploma, Technical University of Crete (1999) Bachelor's Degree, Athens University of Economics and Business (1986) His research focuses on technological forecasting , market prediction , and economic evolution modeling , utilizing computational intelligence methods such as neural networks, fuzzy logic, and genetic algorithms. He leads the Data Analysis and Forecasting laboratory and has authored over 90 scientific papers in international journals and conferences. Atsalakis has contributed extensively to public discourse through articles in Greek media outlets like Kathimerini and To Vima, as well as two books: Stock Market Forecasting Techniques (2008) and Simple Logics of Reorganization of the Economy and Businesses (2013). He frequently participates in television and radio discussions on economic development and technological innovation.

• Optimization Theory
• Traffic Control Systems
• Automated Vehicle Networks
• +3 more

Ioannis Papamichail is a Professor at the Technical University of Crete (TUC), leading the Dynamic Systems and Simulation Laboratory. He holds academic positions since 2004 and has been a Visiting Scholar at UC Berkeley (2010). His expertise spans Mathematical Programming, Optimal Control, and Traffic Systems Optimization . Education : - PhD in Chemical Engineering (2002), Imperial College London - MSc in Process Systems Engineering (1999), Imperial College London - Diploma in Chemical Engineering (1998), National Technical University of Athens Research Interests : Focuses on Nonlinear Programming, Global Optimization, and Optimal Control , applied to traffic and transportation systems. His work addresses challenges in automated vehicle coordination, lane-free traffic systems, ramp metering, and intelligent transportation systems (ITS). Recent trends in his publications emphasize deep reinforcement learning for autonomous driving , microscopic/macroscopic traffic modeling , and multi-agent decision-making algorithms . Key Contributions : Developed lane-free automated traffic control frameworks using LQR and model-free controllers Pioneered vehicle nudging strategies for path planning in complex networks Validated control algorithms via SUMO-based microscopic simulations Awards : 2010 IEEE Transition to Practice Award (Ramp Metering Algorithms) 2014 TRB Best Paper Award (Freeway Operations) 2020 IEEE-ITS Best Paper Award Labs & Teams : Directs the Dynamic Systems and Simulation Laboratory , collaborating on projects like: Autonomous vehicle trajectory optimization Urban traffic signal control with connected vehicle data Macroscopic traffic model calibration

Costas D. KoutrasView profile

Associate Professor

• Modal Logic
• Artificial Intelligence
• Computer Science
• +3 more

Costas D. Koutras is an Associate Professor at the Department of Informatics & Telecommunications of the University of Peloponnese . His research focuses on Modal Logic , its applications in Artificial Intelligence and Computer Science , Logic-based Knowledge Representation (including Epistemic Logic, Non-Monotonic Logics, Belief Revision, and Conditional Logics), and Mathematical Logic with an emphasis on Computational Complexity . He is affiliated with the CoReLab (Computation & Reasoning Laboratory) at the National Technical University of Athens (NTUA) and contributes to the Graduate Programme on Logic, Algorithms, and the Theory of Computation (ΜΠΛΑ) . His work engages with foundational aspects of reasoning systems and their computational underpinnings. No specific grants or advising details are listed in the provided materials. His professional activity includes involvement with conferences such as KRR@SAC 2018 , IJCAI/ECAI 2018 , and KR 2018 .

• Data Mining
• Machine Learning
• Graph Mining
• +9 more

Michalis Vazirgiannis is a Professor in the Department of Informatics at the Athens University of Economics and Business (AUEB), specializing in data mining and machine learning with applications in web and social network analysis. His work bridges theoretical algorithms and real-world scalability challenges. Education: Bachelor Degree in Informatics, National and Kapodistrian University of Athens, 1986 Master (M.Sc.) in Robotics, National and Kapodistrian University of Athens, 1988 Master (M.Sc.) in Knowledge Based Systems, Heriot Watt University, Edinburgh, 1989 Ph.D. in Informatics, National and Kapodistrian University of Athens, 1994 Research Focus: Professor Vazirgiannis pioneers clustering algorithms with subjective/objective validation, distributed feature selection for evolving graphs, and temporal link analysis for dynamic page ranking. His research addresses critical gaps in semi-supervised learning for large-scale web and social networks, emphasizing dimensionality reduction and ranking predictability in temporal contexts. Publication Trends: His 2007-dominated publications reveal a strategic shift toward graph-based web mining, with recurring themes of distributed processing (P2P similarity search), clustering validity frameworks, and semantic web personalization. The work consistently targets scalability bottlenecks in real-world network data. Scientific Recognition: ERCIM Post-doctoral Scholarship (2001) Marie Curie European Scholarship (2006) Leadership & Collaboration: As ERASMUS coordinator for AUEB's Informatics Department and editorial board member of Intelligent Data Analysis journal, he bridges academia and industry. His EU project leadership (FP6 SQO-OSS, Marie Curie NGWeMiS) and program committee roles (IEEE/ICDM 2008, ECML/PKDD 2008) highlight his influence in data mining standardization. International collaborations span INRIA, Fraunhofer, Max Planck, and IBM Research. Technical Innovation: His patent contributions and invited lectures at ECML/PKDD 2006/SIAM/SDM 2006 demonstrate applied impact, particularly in web personalization engines (SEWeP) and evolving graph analytics.

Charalambos ProestosView profile

Professor

• Food Chemistry
• Cardiovascular Disease
• Clinical Biochemistry
• +3 more

Charalambos Proestos is a Professor of Food Chemistry at the National and Kapodistrian University of Athens , affiliated with the Department of Chemistry. His research bridges biochemical mechanisms in food science with clinical cardiovascular outcomes. Specializes in lipid metabolism, cardiovascular risk biomarkers Active in translational research through the HELLAS-FH and CALLINICUS-Hellas registries Key focus on familial hypercholesterolemia, arterial stiffness, and air pollution effects Recent publications in Cardiology and Clinical Biochemistry journals highlight his interdisciplinary approach. His work explores: Lipoprotein (a) as a predictive biomarker Interactions between environmental stressors (air pollution) and genetic factors (telomere length) Novel methodologies in CT angiography and AI-driven diagnostic tools Metaclinical applications of artificial intelligence in scientific publishing He contributes to refining cardiovascular risk assessment frameworks and advancing precision medicine through: Development of diagnostic algorithms for amyloidosis Validation of quantitative flow ratio in coronary interventions Comparative analysis of lipid-lowering therapies Investigation of digital health literacy gaps