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Elias FlytzanisView profile

Professor

• Computational Physics
• Scientific Computing
• Data Analysis
• +2 more

Elias Flytzanis serves as a Professor in the Department of Informatics at the School of Information Sciences and Technology, Athens University of Economics and Business (AUEB). With a strong academic foundation in physics and advanced degrees from prestigious institutions, he contributes to the academic and research mission of one of Greece's leading informatics departments. Dr. Flytzanis holds a Bachelor's degree in Physics from Harvard University, complemented by a Master of Arts and Ph.D. from the University of Wisconsin. His educational background bridges theoretical physics with computational approaches, positioning him at the intersection of scientific computing and information technology. His research interests span computational physics, scientific computing, and data analysis methodologies. These fields leverage his physics background while addressing contemporary challenges in computer science and information systems. The Department of Informatics at AUEB focuses on cutting-edge research in computer science, information systems, and data science, providing an appropriate academic home for his interdisciplinary expertise. As a faculty member at AUEB, Professor Flytzanis contributes to both undergraduate and postgraduate education programs, including the Department's offerings in Computer Science, Information Systems, Data Science, and Mathematics of Market and Production. The department maintains active research laboratories and participates in numerous national and international research projects.

Paris PamfilosView profile

Associate Professor

• Geometry
• Euclidean Geometry
• Differential Geometry
• +5 more

Paris Pamfilos is an Associate Professor in the Department of Mathematics at the University of Crete, specializing in Geometry, particularly Euclidean and Differential Geometry, with significant contributions to Dynamic Geometry through his software development. Born in Athens, Greece, he completed his PhD in Differential Geometry under Prof. Peter Dombrowski after studies in Athens, Bonn, and Cologne. He has held academic positions at multiple European universities including Bonn, Cologne, Essen, and the University of Cyprus as a visiting professor. His research interests span Euclidean Geometry, Differential Geometry, Lie Groups, and the intersection of geometry with computer programming. Pamfilos has made significant contributions to Dynamic Geometry through his software creations - Isoptikon® since 1996 and its dynamic successor EucliDraw®. His research focuses on geometric constructions, conic sections, triangle geometry, quadrilaterals, and related theorems. His recent publications (2023-2025) demonstrate continued active research in classical geometry topics including circle configurations, triangle centers, projective geometry, and geometric transformations. His work often bridges traditional synthetic geometry with computational approaches. His scholarly output shows consistent focus on plane geometry problems with increasing sophistication in geometric constructions and theoretical foundations. Pamfilos has taught mathematics for over thirty years, covering subjects including Euclidean Geometry, Hyperbolic Geometry, Differential Geometry, Linear Algebra, Group Theory, Lie-Group Theory, Algebra, Analysis, Calculus, Complex Calculus, Differential Equations, Topology, Algebraic Topology, and programming in Fortran, C, and C++. He is also the author of several books including "Geometrikon" (2016) and "Lectures on Euclidean Geometry" (Volumes 1 and 2, 2024), with most publications appearing in specialized geometry journals such as Forum Geometricorum, International Journal of Geometry, and Journal of Classical Geometry.

Panagiotis ZervopoulosView profile

Associate Professor

• operations research
• efficiency measurements
• performance measurements
• +6 more

Panagiotis Zervopoulos is an Associate Professor at the Department of Business Organization and Administration within the School of Economics, Business and International Studies at the University of Piraeus. Previously, he served as Associate Professor and Director of the PhD Program in Business Administration at the School of Business Administration of the University of Sharjah in the UAE. His research interests focus on operations research, efficiency and performance measurements, optimization methods, and econometrics. Specifically, he specializes in developing new data envelopment analysis (DEA) techniques, Bayesian methods, parametric and non-parametric econometric models, with innovative applications across multiple disciplines. His methodological contributions have been applied in diverse fields including supply chain management, financial systems, environmental efficiency, and corporate governance. Zervopoulos has published extensively in top-tier journals such as European Journal of Operational Research, Journal of the Operational Research Society, Annals of Operations Research, Journal of Financial Stability, and Journal of Cleaner Production. His recent work (2023-2024) demonstrates continued innovation in efficiency measurement techniques, particularly in network DEA models with bias correction, environmental efficiency analysis, and systemic risk measurement. His publications show strong international collaboration patterns, frequently working with researchers from different countries and institutions. He has served as Guest Editor for journals including Socio-Economic Planning Sciences and IMA Journal of Management Mathematics, demonstrating recognition of his expertise by the academic community. Zervopoulos has held research fellowships at prestigious institutions worldwide, including Peking University (China), the London School of Economics (United Kingdom), the Academy of Athens (Greece), and the Foundation for Economic and Industrial Research (Greece). He also participates in the World Economic Survey and the Economic Expert Group of the Ifo Institute (Germany). Professionally, he has served as Senior Consultant Modeling Statistician at IRi Worldwide and as Project Manager and Expert in Quantitative Analysis and Public Sector Reform through technical support projects with the European Public Law Agency.

Pavel PanchekhaView profile

Assistant Professor

• Programming Languages
• Program Synthesis
• Verification
• +4 more

Pavel Panchekha is an Assistant Professor in the School of Computing at the University of Utah, where he holds the Warnock Chair for Junior Faculty. His research spans programming languages, web browsers, and numerical analysis, with a focus on developing programming language techniques to address challenges across computer science. Dr. Panchekha received his educational training at prestigious institutions: PhD in Computer Science from the Paul G. Allen School for Computer Science and Engineering at the University of Washington, advised by Michael D. Ernst and Zachary Tatlock BS in Mathematics from MIT Panchekha's research program has two major thrusts. First, he works on web browser internals , with projects including fuzzing layout invalidation, multi-tenant garbage collection, and optimizing 2D graphics. He is also authoring a textbook on web browsers that informs much of this research. Second, he focuses on automatic numerical analysis , with projects such as automatic accuracy improvement, synthesis via term rewriting, scalable static accuracy analysis, and math library implementation. He leads the FPBench and Herbie projects, which are major deployments of his research. His scholarly output demonstrates consistent contributions across programming languages, verification, and numerical methods. Recent work shows a growing emphasis on bidirectional typing systems, layout invalidation in browsers, and robust floating-point error analysis. His publications reveal a trajectory from foundational work on floating-point accuracy (notably the Herbie tool that won a Distinguished Paper Award at PLDI 2015) toward more comprehensive systems for program synthesis, verification, and browser optimization. Panchekha has received significant recognition for his research contributions: NSF Fellowship ARCS Foundation Fellowship Adobe Research Fellowship Wissner-Slivka Foundation Fellowship 2015 PLDI Distinguished Paper Award for work on the Herbie numerical analysis and repair tool As an advisor, Panchekha mentors a substantial group of students across multiple levels. He currently advises six students: Marisa Kirisame (PhD), Bhargav Kulkarni (PhD), Yumeng He (PhD), Artem Yadrov (MS), Jesus Ponce (BS), and Jonas Regehr (BS). Previously, he has advised over twenty students including PhD candidates like Ian Briggs and numerous MS and BS students. His advising spans theoretical topics in programming languages and practical applications in web browsers and numerical computing. Panchekha leads research groups focused on programming languages applications to web browsers and numerical analysis. His work on the Herbie tool for floating-point accuracy improvement has become influential in the programming languages community, and his more recent work on browser internals is shaping how researchers understand and optimize modern web rendering engines. He is currently developing a textbook on web browsers that aims to synthesize knowledge about browser architecture and implementation.

Chrisanthi AvgerouView profile

Professor

• Information Systems
• Organizational Change
• ICT for Development
• +3 more

Chrisanthi Avgerou is Professor of Information Systems at the London School of Economics and Political Science (LSE), affiliated with the Department of Management Science and Technology in the School of Business. She chairs IFIP Technical Committee 9 on Social Implications of Information Technology and serves as Associate Editor for Information Systems Research Journal and The Information Society Journal. Her educational background includes: Ph.D. in Information Systems, London School of Economics, 1989 M.Sc. in Computer Science, Loughborough University of Technology, 1978 B.Sc.(Hons) in Mathematics, University of Athens, Greece, 1977 Professor Avgerou's research examines ICT's relationship with organizational transformation and socio-economic development, with emphasis on critical perspectives and developing country contexts. Her work bridges technical implementation with social theory, exploring power dynamics in socio-technical change and institutional barriers to ICT adoption. She pioneered studies on computers in developing countries through IFIP WG 9.4 leadership (1996-2003). Analysis of her 1998-2007 publications reveals consistent focus on three interconnected domains: (1) socio-technical change in organizations using institutional theory, (2) ICT's role in development contexts through critical policy analysis, and (3) philosophical foundations of information systems research. Her editorial work in The Oxford Handbook of ICT (2007) synthesizes global perspectives on digital transformation. Her scientific recognition includes: Fellow of the British Computer Society Fellow of the Association for Information Systems She coordinates the BSc Information Systems and Management program for the University of London External Programme and teaches Social Study of IS (IS470) and Information Society, Theory and Policy (IS412/478). Her research is conducted through LSE's Information Systems and Innovation Group, which examines technology's societal impacts through interdisciplinary collaboration. She currently organizes the Human Choice and Computers conference series, advancing discourse on technology ethics.

• Computational Complexity
• Graph Algorithms
• Distributed Algorithms
• +6 more

Aris T. Pagourtzis is a Professor of Computer Science at the School of Electrical and Computer Engineering of the National Technical University of Athens (NTUA), where he also serves as the Head of the Computer Science Division. He is additionally a Lead Researcher at the Archimedes Research Center, Athena RC. His academic career includes positions at the University of Ioannina, the University of Liverpool, the ETH Zuerich, the University of Athens, and the Athens University of Economics and Business. Education: Diploma in Electrical Engineering (1989) and Ph.D. in Electrical and Computer Engineering (1999), both from the National Technical University of Athens Professor Pagourtzis's research spans multiple areas of theoretical computer science, with particular emphasis on computational complexity, graph algorithms, distributed algorithms, approximation algorithms, network algorithms, cryptography, and counting complexity. His work often bridges theoretical foundations with practical applications in network design, security protocols, and optimization problems. He has developed novel algorithms for problems ranging from community detection in networks to Byzantine fault-tolerant protocols and privacy-preserving voting systems. His recent publications show a continued focus on fundamental algorithmic problems while expanding into newer areas like temporal graph analysis, blockchain applications, and privacy-preserving technologies. There's a clear trend toward addressing real-world challenges through rigorous theoretical frameworks, particularly in distributed systems, secure computation, and optimization under constraints. Professor Pagourtzis has served on program and organizing committees for numerous theoretical computer science and cryptography conferences, co-chairing CIAC 2017 and FCT 2021. His research has received funding from diverse sources including US, UK, French, EU, and Greek national resources. He is actively involved in teaching both undergraduate and graduate courses at NTUA, including Algorithms and Complexity, Foundations of Computer Science, Computational Cryptography, and Network Algorithms and Complexity. He leads the Computation and Reasoning Laboratory (corelab) at NTUA, which focuses on theoretical computer science research.

Eleni StaiView profile

Assistant Professor

• Optimization
• Communications Networks
• Data Analytics
• +4 more

Eleni Stai is an Assistant Professor at the School of Electrical and Computer Engineering, National Technical University of Athens (NTUA), affiliated with the Division of Communication, Electronic and Information Engineering. She holds advanced degrees in Electrical Engineering, Mathematics, and Applied Mathematical Sciences from NTUA and the National and Kapodistrian University of Athens. Her academic credentials include: Diploma in Electrical and Computer Engineering, NTUA (2009) B.Sc. in Mathematics, National and Kapodistrian University of Athens (2013) M.Sc. in Applied Mathematical Sciences, NTUA (2014) Ph.D. in Electrical Engineering, NTUA (2015) Dr. Stai's research integrates advanced optimization techniques with communications networks and energy systems. She develops stochastic and deterministic optimization frameworks for network resource allocation, data analytics on complex topologies, and smart-grid control applications. Her work bridges theoretical foundations with practical implementations in energy-harvesting networks, network slicing, and reinforcement learning for distributed systems. Analysis of her recent publications reveals dominant research thrusts in AI-driven network management (particularly O-RAN and network slicing), energy-integrated communications, and optimization of energy communities. A significant portion of her work addresses the convergence of 5G/6G networking with power systems, emphasizing real-time control and sustainability. Her scientific contributions have been recognized through prestigious awards: Chorafas Foundation Best Ph.D. Thesis award Thomaidis Foundation Best M.Sc. Thesis award Best Paper Award at ICT 2016 Best Presenter Award at IEEE ENERGYCON 2022 Dr. Stai serves on technical program committees for major international conferences and has co-authored the book "Evolutionary Dynamics of Complex Communications Networks". She teaches undergraduate courses in Queuing Systems, Computer Networks, and Social Network Analysis, reflecting her expertise in network theory and applications. Her research trajectory demonstrates continuous evolution from fundamental network optimization to AI-enhanced solutions for next-generation communication-energy systems. Her work builds upon her postdoctoral experience at EPFL (2016-2020) and ETH Zurich (2020-2023), where she developed advanced frameworks for communications networks and energy systems.

George VourosView profile

Professor

• Artificial Intelligence
• Multi-Agent Systems
• Reinforcement Learning
• +7 more

George Vouros is a Professor in the Department of Digital Systems at the University of Piraeus, Greece. He is the head of the AI Lab (http://ai-group.ds.unipi.gr/ai-group/) and director of the MSc in Artificial Intelligence program in collaboration with the Institute of Informatics and Telecommunications at NCSR Demokritos. He completed his BSc in Mathematics (1986) and PhD in Artificial Intelligence (1992) at the University of Athens. His research focuses on Expert Systems, Knowledge Management, Multi-Agent Systems, Reinforcement Learning, and Mobility Analytics. He has served as program chair and committee member for major conferences (AAMAS, AAAI, IJCAI) and editorial roles in journals like Discover Artificial Intelligence (Springer Nature) and Information (MDPI). He has supervised 13 PhD students and currently oversees 4. His work spans EU-funded projects and national initiatives, emphasizing scalable mobility analytics, air traffic management automation, and ontology engineering. He is also President of the Hellenic A.I. Society and actively promotes interdisciplinary applications of AI in healthcare, transportation, and environmental monitoring. Recent research highlights include deep reinforcement learning for tactical air traffic conflict resolution, LLM-integrated ontology engineering, and multimodal generative adversarial imitation learning for flight trajectory modeling. His work bridges theoretical advancements with real-world applications in critical infrastructure systems.

Michael ValahasView profile

Assistant Professor

• Evolutionary Biology
• Phylogenetics
• Speciation
• +3 more

Dr. Michael Valahas is an Assistant Professor at the Department of Science and Mathematics and the International Honors Program at Deree - The American College of Greece (ACG). His research spans evolutionary biology, phylogenetics, and ecology, focusing on speciation and adaptation across diverse domains of life. B.Sc. in Biochemistry Ph.D. in Molecular Virology, University of St. Andrews, Scotland His work investigates evolutionary history using model organisms and explores the ecology of introduced species. Recent publications highlight advancements in DNA sampling techniques, biochemical education methods, and plant taxonomy. Key subfields of his research include genetics , phylogenetics , species adaptation , and biodiversity .

• Software Technology
• Artificial Intelligence
• Educational Software
• +5 more

Maria Virvou serves as Professor and Chair of the Department of Informatics at the University of Piraeus, where she also directs the Graduate Program in Informatics and leads the Research Laboratory 'Software Technology'. She holds significant institutional leadership roles including membership in the University Senate and has chaired the Department of Informatics for multiple terms. As Editor-in-Chief of Springer book series 'Learning and Analytics in Intelligent Systems' and 'Artificial Intelligence-Enhanced Software and Systems Engineering', she maintains substantial academic influence across international scholarly platforms. Dr. Virvou earned her PhD in Computer Science and Artificial Intelligence from the University of Sussex with a scholarship from the State Scholarships Foundation, a Master of Science in Computer Science from University College London, and her undergraduate degree from the Department of Mathematics at the National and Kapodistrian University of Athens. Her educational background in both mathematics and computer science has provided a strong foundation for her interdisciplinary research approach. Professor Virvou's research spans Software Technology, Artificial Intelligence, Educational Software and Games, User Modeling, and Human-Computer Interaction. She has pioneered work in personalized interactive software systems, applying fuzzy logic and machine learning techniques to create adaptive educational environments. Her recent work demonstrates a strategic expansion into AI applications for healthcare, with significant contributions to medical diagnostics using large language models and multimodal AI systems. She has also made notable advances in smart tourism applications through personalization techniques. With over 400 publications to her name, Professor Virvou's scholarly output shows a clear progression from foundational work in user modeling toward increasingly sophisticated AI applications across multiple domains. Her publication trends reveal a strategic focus on explainable AI, multimodal systems, and practical implementations that bridge theoretical advances with real-world applications, particularly in healthcare and education sectors. Ranked #1 worldwide in 'User Modelling' publications (147,450 total publications) according to Scopus Ranked #1 worldwide in 'Educational Software' publications according to both Scopus and Microsoft Academic Search Recognized among the top 2% of most influential Artificial Intelligence scientists worldwide by Stanford University General Co-Chair at the 14th IISA Conference 2023 Invited Keynote Speaker at the 35th IEEE International Conference on Software Engineering Education and Training (CSEE&T 2023) As Director of the Research Laboratory 'Software Technology', Professor Virvou has built a robust research team focused on AI applications across multiple domains. She co-founded and co-chairs the IEEE Intelligent Information Systems and Applications international conference series, creating a significant platform for scholarly exchange. Her leadership extends to editorial roles with major academic publishers and active participation in international research collaborations that have secured substantial funding for innovative projects in AI and software engineering.

Efthymios N. KaratzasView profile

Assistant Professor

• Numerical Analysis
• Computational Mathematics
• Optimal Control
• +5 more

Efthymios N. Karatzas serves as an Assistant Professor in the Department of Mathematics at Aristotle University of Thessaloniki, Faculty of Sciences, within the Computer Science and Numerical Analysis Section. He maintains an active research profile in computational mathematics with strong institutional affiliations including collaborations with SISSA mathLab and FORTH Institute of Applied and Computational Mathematics. His academic credentials include: PhD in Mathematics, National Technical University of Athens (2015) Master's in Applied Mathematical Sciences – Computational Mathematics, NTUA (2009) Master's in Applied Mathematics, University of Patras (2001) Bachelor's in Mathematics (Computational Mathematics), University of Patras (1999) Dr. Karatzas' research program centers on advanced numerical techniques for partial differential equations , with pioneering work in reduced order modeling , embedded boundary methods , and optimal control systems . His expertise spans computational fluid dynamics, uncertainty quantification, and biomechanical applications, characterized by methodological innovation in handling geometrically complex domains through cut finite element approaches and shifted boundary formulations. Analysis of his 15 most recent publications reveals a cohesive research trajectory focused on developing efficient numerical frameworks for parametrized PDE systems. His work consistently bridges theoretical rigor with practical implementation, particularly in advancing reduced basis methods for fluid-structure interaction and biological modeling, demonstrating significant contributions to computational mathematics through high-impact journal publications. No major scientific awards are documented in the available sources. Dr. Karatzas demonstrates research leadership through project management roles including Scientific Manager for the ELIDEK project at NTUA (2019-2021) and Project Manager for the European Social Fund HEaD initiative at SISSA (2017-2019). His grant administration experience encompasses coordinating interdisciplinary teams and securing external funding for computational mathematics research. He maintains active collaborations with the SISSA mathLab in Trieste (particularly with Prof. Gianluigi Rozza's group) and the FORTH Institute in Crete, participating in international workshops including the Reduced Order Methods in CFD Summer School (2019) and SIAM UQ conferences. His research network spans computational mathematics groups across Europe with emphasis on advancing numerical methodologies for real-world engineering and biological applications.

Gérard BerryView profile

Professor

• Computer Science
• Lambda Calculus
• Functional Programming
• +5 more

Gérard Berry (born December 25, 1948) is a distinguished French computer scientist currently serving as Professor at the Collège de France, holding the permanent chair Algorithmes, machines et langages (Algorithms, Machines, and Languages) since 2012. He previously held the Informatique et sciences numériques chair (2009-2010) and the Technological Innovation Liliane Bettencourt chair (2007-2008) at the same institution. Before joining Collège de France full-time, he served as Director of Research at INRIA Sophia Antipolis (2009-2012) and at École des Mines de Paris (1977-2001). His research spans over 30 years in three main fields: lambda calculus and functional programming, parallel and real-time programming languages, and design automation for synchronous digital circuits. He is particularly renowned for developing the Esterel programming language. His work bridges theoretical computer science with practical industrial applications. Berry's research has evolved to include current work in Hop and HipHop for Web programming, formal verification of compilers, and languages for computer music. His publications demonstrate consistent contributions to programming language theory, formal methods, and their applications in hardware and software systems. Gold Medal of CNRS (2014) Chevalier de l'Ordre de la Légion d'Honneur (2012) Member of French Academy of Sciences (2002) Member of Academia Europaea (1993) Monpetit Prize of Académie des sciences (1990) Berry has advised 17 PhD students and reviewed numerous theses. His industrial experience includes serving as Chief Scientist Officer of Esterel Technologies (2000-2009), where he directed the implementation of the Esterel v7 compiler. He has also held significant leadership roles including President of the Scientific Council of IRCAM and membership on the Scientific Council of the National Education. His teaching at Collège de France has covered topics ranging from the foundations of computation to the societal impact of digital technology, with courses including The Informatics of Time and Events and Proving Programs: Why? When? How? His laboratory work has focused on developing practical applications of theoretical computer science concepts.

• Operational Research
• Computational Optimization
• Transportation Logistics
• +3 more

Emmanouil Zachariadis serves as an Associate Professor at the Department of Management Science and Technology (DMST) within the School of Business at Athens University of Economics and Business (AUEB). He specializes in operational research and computational optimization, focusing on transportation logistics, supply chain systems, and environmental impact minimization. Education : BSc in Chemical Engineering from National Technical University of Athens (NTUA) MSc in Computing Science from Imperial College London PhD in Chemical Engineering from NTUA His research integrates mathematical programming with optimization algorithms for operational challenges in transportation and production systems. He has published 26 articles in top-tier journals, accumulating over 1200 Scopus citations by June 2024. Recent scholarly trends emphasize vehicle routing problems with complex constraints (cross-docking, loading, time windows) and optimization methods for logistics sustainability. His work spans production-routing integration, emergency evacuation planning (EVITA project), and hybrid metaheuristics. Scientific Awards : Teaching excellence award for undergraduate course 'Optimization Methods in Management Science', Dept. of Management Science & Technology AUEB (2021-22) Teaching excellence awards for postgraduate course 'Large Scale Optimization', MSc in Business Analytics AUEB (2020-21, 2021-22, 2022-23) He has participated in European and National research projects, applying his expertise in supply chain optimization and sustainability. His teaching portfolio covers quantitative methods, operational research, and supply chain optimization at both undergraduate and postgraduate levels.

Vassilis P. PlagianakosView profile

Associate Professor

• Machine Learning
• Neural Networks
• Bioinformatics
• +5 more

Vassilis P. Plagianakos is an Associate Professor at the Department of Computer Science and Biomedical Informatics, University of Thessaly, Greece. He has held visiting academic roles at the University of the Aegean, University of Patras, and University of Central Greece. He currently serves as the Department Head and Director of the postgraduate program Informatics and Computational Biomedicine in the School of Sciences. His research focuses on machine learning, neural networks, bioinformatics, and parallel computing with applications in healthcare and education. Education : Bachelor’s in Mathematics (1996), University of Patras Ph.D. in Mathematics (2003), University of Patras Research Interests : Plagianakos explores neural networks, evolutionary algorithms, and machine learning applications in bioinformatics, medical diagnosis, and educational technology. His work bridges computational methods with real-world challenges in healthcare (e.g., precision medicine) and STEM education (e.g., flipped classrooms, AI integration). Recent Trends in Publications : Recent work emphasizes predictive precision medicine using big data, blockchain scalability solutions, and AI ethics in automated content detection. He has pioneered methods like the HCER hierarchical clustering-ensemble regressor and developed tools for analyzing single-cell RNA sequencing data. Professional Activities : Member of IEEE Neural Networks Society, IEEE BBTC, and former Board Member of the Hellenic AI Society. Active in collaborative projects like CrowdHEALTH for policy-driven health data analytics.

• Technology-Enhanced Learning
• Accessibility & Universal Design
• Assistive Technology
• +7 more

Charalampos Karagiannidis is a Professor at the University of Thessaly (UTH) in the School of Educational Design (SED), Department of Information and Communication Technologies in Learning and Special Education. He has been affiliated with UTH since 2005 and previously worked at the University of the Aegean, ITI-CERTH, and ICS-FORTH. His academic roles include chairing the TeDISABLE Special Interest Group (SIG) of the IEEE TCLT. Education: BSc in Mathematics, Aristotle University of Thessaloniki MSc in Information Technology, University of London PhD in Electronics Engineering, University of Kent, UK Research Focus: Technology-Enhanced Learning (TEL) Accessibility & Universal Design Assistive Technologies for Special Needs Augmented Reality (AR) and Gamification in Education Educational Robotics for Inclusion Cognitive Assessment Technologies for Aging Populations Publications Trends: Recent work emphasizes ICT applications for autism spectrum disorders (ASD), inclusive robotics, MOOC design for K-12 education, and digital tools to address mild cognitive impairment. His research often bridges theoretical learning models with practical software development, particularly for marginalized populations. Awards & Recognition: No explicit awards listed, but active participation in 150+ publications, editorial roles, and international conference committees demonstrates peer recognition. Grants & Labs: Involved in projects like the TeDISABLE SIG and development of tools such as the Virtual Learning and Social Stories for Autism (VLSS) system . Collaborates on EU-funded initiatives addressing aging populations and cognitive assessment via digital tools.