Professor Gregoris Mentzas is a faculty member at the National Technical University of Athens, School of Electrical and Computer Engineering, where he directs the Division of Industrial Electric Devices and Decision Systems. His research focuses on AI-enabled decision systems, knowledge management, and semantic technologies applied to digital enterprises and e-government. With over 350 publications, he ranks among the top 2% most cited scientists globally. Research Interests: Artificial intelligence for decision augmentation, big data analytics in personalized health and smart mobility, semantic web technologies, and industrial internet of things. Current projects investigate trustworthy AI frameworks and hybrid intelligence systems for Industry 5.0. Teaching: Leads courses in Digital Enterprise Management, Strategic Information Systems, and Project Management at undergraduate and postgraduate levels, incorporating industry case studies and experiential learning approaches. Awards & Leadership: Top 2% Highly Cited Scientist (PLOS Biology 2021) 5 Best Paper Awards in international conferences Director of Information Management Unit (1997-present) Board Member of Institute of Communication and Computer Systems (2006-2009) Projects & Funding: Secured over €18 million in research grants through 60+ European projects with industry partners including SAP, IBM, and Siemens. Research outcomes led to three technology spin-offs.
Panagiotis Kyriakoulakos is an Assistant Professor in Computer Animation at the Department of Product and Systems Design Engineering, University of the Aegean. He previously served as Lecturer at the same department (2010-2018) and Adjunct Lecturer at Paris 1 University (1987-1992). His academic career spans over 35 years with expertise in digital arts, animation, and new media. Education: Electrical Engineering (Aristotle University of Thessaloniki), DEA in Cinema/Television (Paris I), PhD in Art Sciences (Paris X). Professional Experience: Managing Director at Post Reality (1994-2006), New Media Director at PLD Production (2006-2010), awarded SCAM (1991) and Chevalier des Palmes Academiques (2014). Research Focus: Creative processes in animation, digital aesthetics, interactive systems, and cultural heritage projects like ARCHEOGUIDE and HIST3D. His research explores intersections between technology and artistic expression, emphasizing entrepreneurship in creative industries. Key contributions include the first Greek 30-minute computer-animated TV special Alexandra Meets the Space Toons (2003) and the Homeweb VOD platform pilot (2010). Dr. Kyriakoulakos coordinates the XARTS International Conference/School since 2013 and leads the Interactive Systems Design Lab. His work bridges academic research with practical applications through projects like the HIST3D framework and Paris-based research grants (2013). Awards: SCAM Video Magazine Editor Award (1991), Paris Research Grant (2013), French Academic Palms (2014). Labs/Teams: Interactive Systems Design Lab (since 2000), XARTS Conference Leadership. Publications: Over 30 articles, 3 books including 70 Years of Greek Animation (2016) and foundational texts on animation techniques.
Elias Xidias is an Assistant Professor at the Department of Product & Systems Design Engineering, University of the Aegean. His academic focus is on Motion Planning of Autonomous Moving Units . He holds a Ph.D. in Robotics from the University of Patras and has worked as a Research Engineer in the Robotics Intelligent Transportation Systems (RITS) team at INRIA de Paris. His research interests span Robotic Logistics , Intelligent Transportation Systems , and Human-Robot Collaboration , aiming to enhance automation in manufacturing and transportation through advanced algorithms and autonomous systems. Education : Ph.D. in Robotics, University of Patras (2009) M.Sc./B.Sc. in Mathematics, University of Patras (2003) Research Interests : Xidias' work focuses on optimizing autonomous systems in dynamic environments, including path planning for car-like robots, energy-efficient task scheduling, and collaborative robotics. He explores applications in warehouse automation, maritime navigation, and multi-robot coordination. His methodologies often integrate fuzzy logic, genetic algorithms, and probabilistic models to tackle real-world challenges in logistics and manufacturing. Key Contributions : Developed algorithms for AGV routing and motion planning in flexible manufacturing systems. Advanced real-time autonomous navigation techniques for maritime and aerial vehicles. Pioneered the Aegean Ro-Boat Race , fostering innovation in marine robotics. Grants & Collaborations : Xidias has collaborated with institutions like INRIA Paris and contributed to projects such as the RITS team. His work bridges academia and industry, addressing challenges in smart logistics and autonomous systems. Labs & Teams : Associated with the Robotics & Intelligent Transportation Systems research groups, focusing on applied robotics solutions for industrial and urban environments.
Professor Papaloukas Konstantinos is affiliated with the University of Ioannina, where he leads research in bioinformatics and computational biology. His work focuses on integrating machine learning with biomedical data to address challenges in healthcare, such as disease prediction, biomarker discovery, and personalized medicine. He teaches courses including Bioinformatics and Introduction to Computer Science, and directs the Bioinformatics Laboratory. Research interests span computational analysis of proteins, automated tissue classification, and biomedical signal processing. Key areas of exploration include cardiovascular disease mechanisms, diabetes management, autoinflammatory disorders, and cancer biomarkers. His most recent studies leverage ensemble learning for hypoglycemia prediction and deep learning for autoinflammatory biomarker discovery. Publications highlight contributions to multimodal patient data integration, synthetic data generation for chronic diseases, and multimodal glucose prediction systems. Collaborative projects span cardiology, oncology, and infectious disease research. Despite no explicitly listed awards, his work demonstrates significant impact in computational medicine and bioinformatics. As part of his academic role, he advises students in bioinformatics and computational biology, though specific advisee names are not documented in available materials. His laboratory focuses on translating genomic and clinical data into actionable insights for clinical decision support.
Panos Trahanias is Professor and Vice Chair in the Department of Computer Science at the University of Crete, and heads the Computational Vision and Robotics Laboratory (CVRL) at Foundation for Research and Technology - Hellas (FORTH). His research bridges computational vision, robotics, and embedded systems, with specific focus on humanoid robot navigation, real-time SLAM implementations, and adaptive control systems. Recent investigations include developing climbing quadruped robots, robust grip-lifting mechanisms, and probabilistic contact estimation methods for dynamically challenging terrains. Medical applications feature prominently through neural network approaches for ventilator waveform analysis in critical care settings. Hardware innovation is demonstrated through FPGA-accelerated visual SLAM architectures and reconfigurable embedded systems designed for resource-constrained robotic platforms. His work consistently advances the integration of probabilistic methods, deep learning, and adaptive control in autonomous systems.
Themos Stafylakis is an Associate Professor at the Department of Informatics of Athens University of Economics and Business (AUEB), a role he assumed in 2023. He also serves as the head of the Machine Learning and Voice Biometrics departments at Omilia (Cyprus and Greece) since 2018. Additionally, he collaborates as a researcher at the Archimedes unit of the "Athena" Research Center. His academic journey includes a PhD in voice applications from the School of Electrical and Computer Engineering of NTUA (2011), a master's from Imperial College London (2005), and a bachelor's from NTUA (2004). Professional experience includes postdoctoral research at ÉTS University of Montreal (2011-2013) and CRIM research center (2011-2016), followed by work at the University of Nottingham on audiovisual speech recognition under a Marie Sklodowska-Curie fellowship (2016-2018). His research focuses on speaker recognition, audiovisual speech processing, and machine learning applications. Key contributions include advancements in speaker verification, diarization, and self-supervised learning techniques. He has contributed to datasets like KAN-AV and participated in challenges such as NIST-SRE and ASVspoof. Educations: Bachelor's: School of Electrical and Computer Engineering, NTUA (2004) Master's: Imperial College London (2005) PhD: NTUA (2011) His research interests span speaker recognition, audiovisual speech analysis, and machine learning innovations. Notable achievements include developing robust speaker verification systems and contributing to spoofing detection methodologies. He has received a Marie Sklodowska-Curie Individual Fellowship (2016-2018). His work bridges academia and industry, with applications in biometric systems, conversational AI, and multimodal data analysis. Collaborations include institutions like CRIM, ÉTS, and the Athena Research Center.
Markos Konstantakis is a PhD candidate at the Department of Cultural Technology and Communication, University of the Aegean, focusing on Augmented Reality (ACUX thesis). He holds a Master’s in Information Systems from the Hellenic Open University and degrees in Marine Mechanical Engineering from NTUA. As a Research Fellow-Lecturer at the University of Athens, he teaches courses like Network Engineering, MATLAB, and Digital Culture under the e-learning program. He also works as a Research Assistant at Panteion University under the ELKE research fund. His research spans Virtual/Augmented Reality, Digital Culture, Cultural Heritage Management, and Human-Computer Interaction. Key research interests include: Development of digital twins for cultural spaces using photogrammetry and laser scanning Augmented Reality applications for cultural tourism and education Personalized visitor experiences through frameworks like ACUX and AI-driven recommendation systems Integration of IoT and serious games in cultural heritage preservation His recent work emphasizes: Smart Glasses for cultural heritage navigation OpenLab initiatives for archaeological conservation (e.g., Ancient Tiryns) Recommender systems leveraging LLMs like ChatGPT for museums Design of mobile interfaces for cultural tourism optimization Collaborations include projects like TRACCE (content personalization), CHATS (tangible interfaces), and TRIPMENTOR (gamification in tourism). His contributions bridge technological innovation with cultural preservation, emphasizing user-centric design approaches.
Fragkiskos Kalavasis is a Professor at the University of the Aegean, affiliated with the School of Humanities and the Department of Preschool Education Sciences and Educational Design. He has been teaching there since 1989, collaborating as a Visiting Professor with universities like the National and Kapodistrian University of Athens, University of Patras, and Université de Versailles-Saint Quentin en Yvelines. His research focuses on Mathematics Education, with an emphasis on Educational Mechanisms, Learning Technology, and Systemic Models of Learning Organizations applied to schools. Education : He holds a degree in Mathematics and a PhD in Mathematics Education from the National and Kapodistrian University of Athens and Université Paris 7 (now Paris Cité). Research Interests : Interdisciplinary approaches in Mathematics and Physics education Design of educational technology tools Systemic analysis of learning processes Teacher training and professional development Remote learning strategies during crises Integration of technology in preschool and primary education Recent Research Trends : His 2020–2023 publications address challenges in hybrid education, systemic evaluation frameworks, and the role of technology in transforming educational institutions. He explores historical perspectives on mathematics, the impact of digital storytelling, and interdisciplinary synergies between STEM fields. Advising & Leadership : He has supervised doctoral theses and directed international research programs. He served as Chair of the Editorial Board of the journal International Journal for Mathematics in Education (JME) , and as President of the Preschool Education Sciences department (2002–2006) and the Panhellenic Pedagogical Chairs Council (2004–2006). He founded the Learning Technology and Didactic Mechanics Lab , advancing educational robotics and interactive learning systems. Contributions : His work includes organizing international conferences, developing curricula for preschool and primary education, and pioneering the use of augmented reality and digital tools like Scratch in teaching mathematics and physics.
Aristomenis Antoniadis is a Professor in the Department of Production Engineering and Management at the Technical University of Crete. His academic journey includes a Mechanical Engineering Diploma from Aristotle University of Thessaloniki (1984) and a PhD in Mechanical Engineering from the same institution (1989). He has held roles such as Lecturer at the University of Thessaly (1991–1994) and Professor at Technical Educational Institutes of Serres & Crete (1994–2008). His research focuses on Manufacturing Technologies, Reverse Engineering, CAD/CAM/CAE, and Bioengineering. He has authored 7 books and over 90 publications across international journals and conferences. Key research areas include laser engraving processes, finite element modeling, 3D printing, and simulation tools for machining operations. His work on gear manufacturing, tool wear prediction, and augmented reality training interfaces demonstrates interdisciplinary innovation. He has contributed to over 30 research projects as a participant or scientific manager. His laboratory, Production Systems, explores cutting-edge technologies in manufacturing systems and sustainable production methods. Antoniadis is affiliated with the Technical University of Crete’s School of Production Engineering and Management. He has advised numerous students and collaborates extensively on industrial applications, including photovoltaic system optimization and cultural heritage digitization projects. His work bridges academic research with practical industrial solutions, emphasizing both innovation and educational outreach through serious games and virtual training environments.
Giannis Nikolentzos is an Assistant Professor at the Department of Informatics and Telecommunications, University of Peloponnese. His research focuses on graph representation learning, machine learning, and artificial intelligence. Prior to this role, he was a postdoctoral researcher at Ecole Polytechnique and completed his PhD in Computer Science at Athens University of Economics and Business, advised by Michalis Vazirgiannis. He holds an MSc in Artificial Intelligence from the University of Southampton and a Diploma in Electrical and Computer Engineering from the University of Patras. His research interests include learning on graphs, graph mining, and machine learning applications in healthcare and social networks. He has contributed to advancements in graph neural networks (GNNs), adversarial attacks on GNNs, and synthetic data generation using variational graph autoencoders. Recent Publications highlight trends in understanding GNN representations, adversarial robustness, and graph reasoning with large language models. His work has been presented at top conferences like NeurIPS, ICML, and ICLR. Nikolentzos has developed the Grakel Python library for graph kernels and contributed to open-source tools like the repository for 'What Do GNNs Actually Learn?' which includes implementation details, datasets (e.g., IMDB-BINARY), and dependencies such as PyTorch and NetworkX.
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.
Ioannis Nikolos is a Professor at the School of Production Engineering and Management, Technical University of Crete, and holds a Visiting Professor position at the Institute of Plasma Physics & Lasers (IPPL), Hellenic Mediterranean University. With over 30 years of R&D experience, he has coordinated 39 projects and participated in 13 more. His research focuses on Computational Fluid Dynamics (CFD), Turbomachinery, Design Optimization, and Traffic Flow Modeling. He has authored/co-authored 60 journal papers, 110 conference papers, and three books, with an h-index of 24 (Google Scholar). Education: Diploma (1990) and PhD (1996) in Mechanical Engineering from the National Technical University of Athens (NTUA). His expertise spans fluid dynamics, engineering design optimization, and unmanned aerial vehicle aerodynamics. He is a Senior Member of AIAA and serves as an Associate Editor for ASME journals. Research Interests: Computational Engineering, Turbomachinery Component Design, Wind Turbine Optimization, Traffic Flow Modeling, and Plasma Physics applications. His work integrates computational intelligence with traditional engineering methods. Awards: Recipient of the IEEE ITS Society Outstanding Application Award (2018) for contributions to traffic management systems. He leads the Turbomachinery & Fluid Dynamics Laboratory and has supervised 7 completed PhD theses. Grants & Advising: Extensive R&D funding from EU, Industry, and Greek State. Currently supervising 3 PhD students. Editorial roles include ASME Journal of Fluids Engineering and Water. Labs & Teams: Director of the Turbomachinery & Fluid Dynamics Laboratory, collaborating on projects involving CFD, plasma physics, and autonomous systems.
Panagiotis Patsilinakos is a PSL Junior Research Chair (Post-Doctoral Researcher-Teacher) at LAMSADE, Paris Dauphine-PSL University, where he focuses on learning-augmented algorithmic mechanism design and computational social choice. His work bridges algorithmic game theory, mechanism design, and computational complexity. Education: PhD in Computer Science (2023) from the National Technical University of Athens (NTUA), School of Electrical and Computer Engineering. MEng in Computer Engineering (2016) from the University of Patras, School of Engineering. His PhD thesis explored algorithmic game theory and mechanism design under information scarcity. Research interests include randomized algorithms, approximation algorithms, and the intersection of learning theory with mechanism design. Notable contributions involve online budget-feasible auctions, learning-augmented NP-hard problem solutions, and distortion analysis in voting systems. Teaching includes courses on 'Beyond Worst-Case Analysis' at Paris Dauphine and 'Algorithmic Game Theory' at AUEB/NTUA. Previously served as a teaching assistant for undergraduate/graduate courses at NTUA, including Algorithms and Complexity, and mentored 8 undergraduate theses. Labs/Teams: Member of NTUA's Computation and Reasoning Laboratory. Active contributor to LAMSADE's research initiatives in algorithmic mechanisms and social choice theory.
Dimitris Fotakis is Professor of Computer Science at the National Technical University of Athens (NTUA) and Collaborating Senior Researcher at the Archimedes Unit/ATHENA RC. His research in theoretical computer science focuses on algorithmic game theory, approximation algorithms, and facility location problems. He leads research projects including BALSAM (Beyond Worst-Case Analysis in Approximation Algorithms) funded by HFRI. With publications in ICALP, NeurIPS, and STOC, his work develops efficient algorithms for optimization under uncertainty. Fotakis serves on program committees of major conferences including ICALP and SAGT.
Professor Antoniadis Aristomenis is a faculty member at the Technical University of Crete, affiliated with the School of Production Engineering and Management. His work focuses on advanced manufacturing processes, CAD/CAM simulation, laser engraving, and emerging technologies in materials science and augmented reality applications. He holds a prominent role in the Vice-Chancellor Office, indicating leadership responsibilities within the institution. Key research areas include: Process optimization of machining operations (drilling, hobbing, skiving) Laser-material interaction and surface engineering Development of serious games for manufacturing education Finite element modeling of cutting processes Additive manufacturing of composite materials Recent publications highlight contributions to: Enhanced drilling performance using RSM and ANN Innovative AR interfaces for industrial guidance Laser engraving quality control methodologies Simulation of complex machining processes No specific awards or grants are explicitly mentioned in the provided text, though his extensive publication record indicates sustained research activity. His work integrates theoretical models with practical industrial applications, emphasizing both innovation and educational dissemination through gamified training systems.
