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Theodora Varvarigou is a Professor in the Department of Electrical and Computer Engineering at the National Technical University of Athens (NTUA). She holds a B.Eng. from NTUA and M.Eng. and Ph.D. degrees from Stanford University. Her career includes research at AT&T Bell Labs and roles at the Technical University of Crete. From 2008-2012, she served as director of NTUA's 'Technoeconomic Systems' postgraduate program. Her research focuses on Cloud Computing, Multimedia Content Processing, Social Networking Technologies, and emerging areas like blockchain, edge computing, and cybersecurity. She has published over 200 papers and led numerous European research projects, emphasizing scalable systems, data management, and smart infrastructure applications. Her work spans technical innovations such as intrusion detection systems, edge resource optimization, and blockchain-based solutions for IoT, healthcare, and smart cities. Recent publications highlight advancements in AI-driven resource allocation, privacy-preserving blockchain designs, and predictive analytics for edge computing environments. Professor Varvarigou has contributed to interdisciplinary initiatives, including cohort data harmonization in biomedical research and social media analytics for urban planning. Her teaching includes courses on digital systems, network programming, and fault-tolerant systems.

• Cloud Computing
• Multimedia Content Processing
• Social Networking Technologies
• +3 more

George Vasilakopoulos is a Professor in the Department of Digital Systems at the University of Piraeus , where he also serves as Vice-Chancellor for Academic Affairs and Personnel. By law, he is President of the Quality Assurance Unit (MODIP) and the Employment and Career Structure (DASTA) of the university, overseeing the development of modern information systems. He earned his PhD from the University of London and has held leadership roles including Department President, Director of Postgraduate Programs, and Scientific Director of the Digital Health Services Laboratory. PhD: University of London Current Roles: Vice-Chancellor, Department of Digital Systems Professor Labs: Digital Health Services Laboratory His research focuses on Health Informatics , Cloud Computing , and Medical Data Security , with key contributions to: Emergency healthcare process automation Privacy-preserving personal health record systems Context-aware authorization models Cloud-based medical service frameworks Machine learning in clinical data analysis Interoperable health information systems The trends in his 15 most recent articles (2010-2015) reveal a consistent emphasis on integrating cloud infrastructure , semantic technologies , and mobile platforms to enhance emergency care, chronic disease management, and patient data security. His work bridges biomedical engineering , software architecture , and public health policy . He has held advisory roles for the Minister of Health on IT issues, served on hospital boards, and contributed to national committees for healthcare technology standards. His professional activities include project evaluation for Greek and European research programs and authoring three books on health informatics.

• Health Informatics
• Cloud Computing
• Emergency Healthcare Systems
• +4 more

Efthimios S. Skordas is an Associate Professor of Experimental Solid State Physics at the Department of Physics, National and Kapodistrian University of Athens. Born in Lefkada, Greece in 1960, he holds a Mathematics degree (1984) from the University of Crete and a Doctorate (1992) from Uppsala University, Sweden. His research focuses on seismicity analysis through the lens of natural time analysis, complex systems, and non-extensive statistical mechanics. University of Crete (1984, Mathematics) Uppsala University (1992, Doctorate) His work demonstrates deep expertise in earthquake prediction, detection of pre-seismic anomalies through geoelectric/magnetic field variations, and entropy dynamics under time reversal. Recent publications highlight applications of natural time analysis to diverse domains including cardiovascular health monitoring. He has authored over 120 peer-reviewed publications and two monographs, with an h-index of 32. Skordas' research bridges geophysics with interdisciplinary applications, showing particular emphasis on entropy fluctuations, order parameter analysis, and multi-scale seismicity patterns. His laboratory contributes to understanding the physical interconnection of seismic electric signals with earthquake dynamics.

• Geophysics
• Seismicity Analysis
• Natural Time Analysis
• +3 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.

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

Michalis Xenos is a Professor in the Department of Mathematics at the University of Ioannina, Greece. He holds a PhD in Applied Mathematics (2003) from the University of Patras and has held postdoctoral positions at the University of Illinois at Chicago (2003-2007) and Stony Brook University (2007-2011). His research spans Applied Mathematics, Fluid Mechanics, and Biomechanics, with a focus on Magnetohydrodynamics (MHD), Computational Fluid Dynamics (CFD), and Fluid-Structure Interaction (FSI) in cardiovascular systems. Education : BSc (1996), MSc (1998), PhD (2003) in Applied Mathematics, University of Patras. Affiliations : University of Ioannina (2011-present), Stony Brook University (postdoctoral, 2007-2011), University of Illinois at Chicago (postdoctoral, 2003-2007). His work involves modeling blood flow in aneurysms, optimizing mechanical heart valves, and analyzing hemodynamic factors in vascular diseases. Collaborators include Prof. A.A. Linninger (UIC), Prof. D. Bluestein (SUNY), and Prof. U. Morbiducci (Politecnico di Torino). His publications address MHD flows, AAA rupture risk prediction, thrombogenicity in devices, and nonlinear differential equations.

• Applied Mathematics
• Fluid Mechanics
• Computational Fluid Dynamics
• +4 more

Balas Konstantinos is a tenured Professor at the School of Electronic & Computer Engineering , Technical University of Crete , and Director of the Electronics Laboratory . His academic journey began with a B.Sc. (1988) and Ph.D. (1992) in Medical Physics from the University of Patras, followed by postdoctoral research and industry consulting before joining FORTH-IESL in 1995. In 2002, he transitioned to academia at TUC, leading the Optoelectronics Group and founding DySIS-Medical Ltd. , a medical imaging spin-off with global reach.

• Optoelectronics
• Biophotonics
• Hyperspectral Imaging
• +5 more

Dimitris Maroulis is a Professor at the Department of Informatics and Telecommunications, University of Athens, leading the Real-Time Systems and Image Analysis Lab (RTS-image). With over 20 years of experience in data acquisition and real-time systems, and 15 years in image/signal analysis, he collaborates extensively with Greek and European hospitals in biomedical informatics. He has led 5 R&D projects and authored 150+ papers with 1400+ citations. University of Athens: Professor (2000–present) Meudon Observatory: Research Fellow (3 years) & Long-term Collaborator (10+ years) Research Interests focus on real-time systems , image/signal processing , and biomedical applications . Key areas include automated segmentation of proteomic images, noise removal methods, and stereo image coding. His 15 most recent publications (2003–2012) span 3D imaging , medical image analysis , and biomedical informatics , with sub-fields like autostereoscopic displays, wavelet-based coding, and computer-aided diagnosis. Awards : Best Paper Award (2012: Integral Image Analysis) Projects include European and national R&D initiatives in image analysis and real-time systems. Labs : RTS-image Lab develops methodologies for biomedical and proteomic applications.

• Data Acquisition
• Real-Time Systems
• Pattern Recognition
• +6 more

Christos Ouzounis is a Professor of Bioinformatics at the Department of Informatics, Aristotle University of Thessaloniki , with a career spanning institutions including the European Bioinformatics Institute , King's College London , and University of Toronto . His work bridges Computational Biology , Digital Biology , and Metagenomics , focusing on large-scale data analysis, machine learning applications, and functional annotation of proteins. Education : BSc in Biological Sciences (1986), MSc in Biological Computation (1987), and DPhil in Computational Chemistry (1993) Key Roles : Director of the Bioinformatics Centre at King's College London (2007-2010), Research Director at IDEP-EKETA (2014-2020) His research interests include low-complexity protein sequences , Covid-19 seasonality patterns linked to UV radiation, and metagenomic analysis of urban microbiomes in cultural heritage sites. Current projects involve machine learning models for microbial coexistence networks, ontological classification of biomedical literature, and bioinformatics tool development . Publications highlight trends in archaeal genomics , functional dark matter in metagenomics, and epidemiological modelling . Notable collaborations include work on BioTextQuest v2.0 for concept discovery and MjCyc for metabolic pathway analysis.

• Bioinformatics
• Digital Biology
• Biological Computation
• +5 more

Nick Bassiliades is a Professor at the School of Informatics , Aristotle University of Thessaloniki , Greece. His academic roles include serving as President of the Digital Governance Committee and the Digital Transformation of Greek Universities Committee, as well as Director of the Web, Data, and Knowledge Engineering Sector. Education: B.Sc. in Physics, Aristotle University of Thessaloniki (1991) M.Sc. in Applied Artificial Intelligence, University of Aberdeen (1992) Ph.D. in Parallel Knowledge Base Systems, Aristotle University of Thessaloniki (1998) His research focuses on Semantic Web , Ontologies , Knowledge Graphs , and applications in Artificial Intelligence , eGovernment , and Intelligent Agents . Recent publications emphasize ontological frameworks for requirements engineering, explainable AI, and electric vehicle knowledge graphs. He actively contributes to scientific communities as a Senior Member of IEEE and ACM , and serves as Co-Editor-in-Chief for the International Journal of Artificial Intelligence in Business and Management . His work involves collaborations with the Intelligent Systems laboratory and projects like XR4DRAMA for disaster management.

• Semantic Web
• Ontologies
• Linked Open Data
• +7 more

Dimitris Psaltis is a Professor at the École Polytechnique Fédérale de Lausanne (EPFL) in Switzerland. He serves as Director of the Optics Laboratory and was Dean of the School of Engineering from 2007 to 2016. Previously, he held academic positions at Caltech, including Thomas G. Myers Professor of Electrical Engineering. Education : B.Sc., M.Sc., and Ph.D. in Electrical Engineering from Carnegie Mellon University (1974–1977). His research interests span optical imaging and holography , biophotonics , optofluidics , and renewable energy . Recent work explores machine learning integration into optical systems , such as photonic neural networks , diffraction tomography , and solar irradiance forecasting . Articles highlight advancements in subwavelength imaging , nonlinear optical computing , and AI-driven wavefront shaping . Scientific awards include: 1990 International Commission of Optics (ICO) Prize 2002 NASA Space Act Award 2003 Humboldt Research Award 2006 SPIE Dennis Gabor Award 2012 OSA Emmett N. Leith Medal 2016 OSA Joseph Fraunhofer Award Fellowships: SPIE (1986), OSA (1989), IEEE (2005), EOS (2012) His work has influenced biomedical imaging, optical computing, and energy applications, with recent projects focusing on lab-on-chip systems , multimode fiber endoscopy , and 3D printing of holographic elements . He leads the Optics Laboratory at EPFL, driving interdisciplinary research in photonic technologies.

• Optical Imaging
• Holography
• Biophotonics
• +3 more

Georgios Bardis is a permanent Assistant Professor at the Department of Informatics and Computer Engineering , School of Engineering , University of West Attica . He holds a PhD in Informatics from University of Limoges (2006), an MSc in Software Systems from University of California, Santa Barbara (1994), and a Diploma in Computer Engineering & Informatics from University of Patras (1992). His career spans multiple academic roles, including Lecturer at University of West Attica (2018-2021) and Professor of Applications at TEI of Athens (2010-2018). Research Interests : Focus on Intelligent Computer Graphics , Declarative Modeling , and Multicriteria Decision Analysis . His work integrates AI into 3D scene synthesis, urban planning, and semantic decision systems. Awards : Master Microsoft Office Specialist (MOS), 2003 NAT Scholarships for Academic Excellence (1989-1992) 1984 Monetary Prize from Hellenic Mathematical Society Leadership : Member of AKIIS Research Lab (University of West Attica), Editorial Board of International Journal of Systems Biology and Biomedical Technologies , and Reviewer for International Journal of Digital Earth . Publications : 5 peer-reviewed journals, 2 books, 8 book chapters, and 22 conference papers. Key areas include WebGL avatars, urban data analysis, and 3D modeling with AI.

• Intelligent Computer Graphics
• Declarative Modeling
• Multicriteria Decision Analysis
• +4 more

Emmanouil Z. Psarakis is an Associate Professor at the Department of Computer Engineering & Informatics , University of Patras, Greece. Born in 1963, he has been affiliated with the university since 2005 and is a member of the Signal Processing and Communications Lab . His academic journey includes teaching courses such as Signals and Systems Theory , Digital Signal Processing , and Computer Vision and Graphics . PhD in Computer Engineering and Informatics, University of Patras (1991) Dr. Psarakis is renowned for his research in image processing , computer vision , and signal processing , with applications in biomedical imaging , seismology , and robotics . His work spans deep learning , filter design , and 3D reconstruction , reflecting a multidisciplinary approach. His 15 most recent publications (2020–2025) focus on sign language recognition , adversarial defense , 3D shape analysis , and medical imaging . These works integrate machine learning , stochastic modeling , and computer vision to address challenges in video summarization , image inpainting , and seismic signal analysis . Dr. Psarakis has supervised over 10 PhD students , including Fotini Fotopoulou (2016–2019) and Panagiotis Georgantopoulos (2020–2023). He has participated in EU-funded , Hellenic , and bilateral R&D projects related to biomedical signal processing , robot vision , and forest fire monitoring . He leads the Signal Processing and Communications Lab , which collaborates with institutions like the Computer Technology Institute and international universities. His contributions include filter design , image alignment , and stereopsis techniques , with a focus on practical implementations in telecommunications and medical diagnostics .

• Image Processing
• Computer Vision
• Machine Learning
• +7 more

Spitas Vasilios is a Professor at the National Technical University of Athens (NTUA), affiliated with the School of Mechanical Engineering and the Department of Mechanical Engineering & Automatic Control. His research focuses on gear dynamics, additive manufacturing, computational modeling, thermal systems, and educational pedagogy in engineering. He leads projects involving advanced gear technologies, material science applications, and sustainable energy systems. His work integrates experimental, analytical, and numerical methods to address challenges in mechanical design and industrial applications. Key research areas include optimizing gear performance through bio-inspired surface texturing, developing novel clutch systems, and enhancing 3D printing precision. He explores interdisciplinary topics like energy-efficient Ericsson engines and hyper-damping systems. His contributions to engineering education emphasize active learning strategies and project-based curricula. His recent publications analyze magnetic gear dynamics, additive-manufactured components, and educational innovations. He collaborates on international projects, such as the HEV Ventilator initiative, merging biomedical and mechanical engineering.

• Gear Dynamics
• Additive Manufacturing
• Mechanical Design Optimization
• +7 more

Christos Manopoulos is an Assistant Professor at the School of Mechanical Engineering, National Technical University of Athens (NTUA), Greece, within the Fluids Section. His roles include Director of the Biofluid Mechanics & Biomedical Technology Laboratory and Health and Safety Officer for the Fluid Mechanics Section. He holds a PhD in Biomedical Engineering (2009) and M.Sc.E. in Biomedical Engineering (1999) from NTUA and University of Patras, alongside a Mechanical Engineering Diploma (1995). Professional Experience: Includes senior researcher roles, postdoctoral fellowships, and teaching positions at multiple institutions since 1998. Research Focus: Biofluid mechanics, biomedical device design, and cardiovascular hemodynamics. Specializes in computational modeling of valveless pumping, arterial wall mechanics, and endovascular repair systems. His work integrates experimental, theoretical, and computational methods. Key Research Trends: Recent articles emphasize patient-specific computational studies of aortic aneurysms, novel biomedical device designs, and fluid dynamics in medical systems. Topics include finite element analysis, peristaltic pumps, and pulsatile flow modifications. Awards: Doctoral Excellence (2009), Thomaideio awards (2012, 2005–2010), and a patent for a mechanical ventilator component (2021). Labs/Teams: Leads the Biofluid Mechanics Lab at NTUA, focusing on translational biomedical engineering and computational modeling.

• Biofluid Mechanics
• Biomedical Engineering
• Medical Devices Design
• +3 more

Prof. Vlassopoulos Dimitris is a prominent academic affiliated with the University of Crete (Department of Materials Science & Technology) and the Foundation for Research & Technology - Hellas (FORTH), Institute of Electronic Structure & Laser. His career spans over three decades, with roles including Professor (2007–present), Associate Professor (2002–2007), and Adjunct Professor at the University of Crete. He holds a Ph.D. in Chemical Engineering from Princeton University (1990) and has held positions at Mobil Research & Development Corporation (1990–1991) and Metelco S.A. (1983–1984). Education: Diploma in Chemical Engineering, National Technical University of Athens (1983) M.A. in Chemical Engineering, Princeton University (1986) Ph.D. in Chemical Engineering, Princeton University (1990) Research Interests: His work focuses on molecular rheology, branched/ring polymers, soft colloids, nonlinear rheometry, and interfacial viscoelasticity. Key areas include polymer network dynamics, colloidal gels, and supramolecular assemblies. His contributions bridge fundamental rheology and applications in materials science. Awards: FORTH Prize for Basic Research (2009) Society of Rheology Publication Award (2011) Weissenberg Award (2015) E.C. Bingham Medal (2019) Advising & Grants: While student names are not listed, his research has been supported by grants from institutions like FORTH. His work often involves interdisciplinary collaborations, such as developing 3D bioprinting methods and exploring hagfish slime mechanics. Labs/Teams: Active in FORTH's Institute of Electronic Structure & Laser and collaborates with international groups on projects like supramolecular polymer networks and nanocomposite rheology.

• Rheology
• Polymer Physics
• Material Science
• +3 more