جست‌وجوی استاد و پژوهشگر

Panayiotis Koutsabasisمشاهده پروفایل

دانشیار

• Human-Computer Interaction (HCI)
• User Experience Design
• HCI in Education
• +۶ مورد دیگر

Panayiotis Koutsabasis is an Associate Professor of Human-Computer Interaction (HCI) at the Department of Product & Systems Design Engineering, University of the Aegean, Greece. He has over 20 years of teaching experience in HCI-related courses at undergraduate and postgraduate levels, supervising over 90 theses. He co-founded the Interactive Systems Design Laboratory and contributed to curriculum development in HCI. His research focuses on HCI design, user experience, natural user interfaces, and cultural heritage applications. Education: Ph.D. in Information and Communication Systems Engineering (2002), University of the Aegean M.Sc. in Information Systems (1997), Athens University of Economics and Business B.Sc. in Informatics (1995), Athens University of Economics and Business Research Interests: HCI principles, user evaluation studies, gesture-based interfaces, mobile HCI, virtual/augmented reality in education and cultural heritage, collaborative design. Over 100 publications in journals like International Journal of Human-Computer Interaction , Virtual Reality , and conferences. Articles Trends: Recent work emphasizes cultural heritage through mixed/augmented reality installations, participatory design methods, and mid-air interaction systems. Emphasis on user experience evaluation in heritage contexts and educational applications. Grants & Projects: Coordinated over 30 EU and national R&D projects, including digital heritage initiatives and HCI education tools. Active in ACM SIGCHI and tactical reviewing for journals/conferences. Labs & Teams: Leads the Interactive Systems Design Laboratory, focusing on innovative HCI solutions for cultural heritage, education, and collaboration.

Spyros Vosinakisمشاهده پروفایل

دانشیار

• Virtual Reality
• Augmented Reality
• Mixed Reality
• +۶ مورد دیگر

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.

• Learning Technologies
• Digital Education
• Educational Technology
• +۳ مورد دیگر

Demetrios Sampson is a Professor of Digital Systems for Learning and Education at the University of Piraeus, Greece, since 2003. He holds leadership roles including Director of the MSc Program on Digital Learning and Director of the Research Laboratory Digital Systems in Learning and Education. Previously, he was a Professor of Learning Technologies and Director of Research at Curtin University, Australia (2015–2017), and a Senior Researcher at the Centre of Research and Technology–Hellas (2000–2003). He has been a Visiting Professor at 8 universities across 4 continents, including Peking University, University of Hong Kong, and University of Tartu. His research focuses on Learning Technologies and Digital Education, recognized globally, including being named in Stanford’s World’s Top 2% Scientists. He has authored/co-authored 314 publications (books, journal articles, chapters, conference papers), edited 22 books, and received 10 Best Paper Awards. He has supervised over 200 students and led 75+ research projects with €18M funding. Sampson co-authored groundbreaking works like Educational Data Literacy (Springer, 2022) and pioneered the first MOOC on Educational Data Analytics via edX, attracting 30,000+ participants globally. He initiated the open-access Educational Technology & Society Journal , now #4 in Google Scholar rankings. Leadership roles include Chair of IEEE Technical Committee on Learning Technologies (2008–2011, 2015–2018) and Editor-in-Chief of major journals. Awards include the IEEE Computer Society Distinguished Service Award and Golden Nikola Tesla Chain Award. He holds a PhD in Electronic Systems Engineering from the University of Essex (1995) and a Diploma in Electrical Engineering from Democritus University of Thrace (1989). Key contributions include promoting educational data literacy through the Learn2Analyse initiative, leading global conferences like IEEE International Conference on Advanced Learning Technologies, and advancing frameworks for teaching analytics, flipped classrooms, and MOOC design. His work bridges technology, pedagogy, and policy, shaping modern educational systems worldwide.

• Large-scale Scientific Computing
• Computational Linear Algebra
• Parallel and Distributed Processing
• +۴ مورد دیگر

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.

• Didactics of Natural Sciences
• STEM Education
• Mobile Learning
• +۶ مورد دیگر

Kalogiannakis Michael is a Professor at the University of Thessaly specializing in Science Teaching in Preschool Education . His work bridges STEM education , educational robotics , and mobile learning to innovate early childhood science pedagogy. University of Thessaly, Professor of Science Teaching Focus on computational thinking, teacher training, and digital technologies Recognized in Stanford’s Top 2% World Scientists (2021, 2022) Research Interests : The Didactics of Natural Sciences and STEM education form the core of his work, with emphasis on mobile learning applications , educational robotics , and distance education strategies. He investigates computational thinking development in preschoolers and the creation of multimodal educational materials . Publication Trends : Recent works (2023–2022) highlight gamification in physics education, STEAM implementation across six countries, and teacher training via Scratch and Makey Makey. Earlier studies (2020–2019) explore Bee-Bot robotics , self-proclaimed educational apps , and data visualization in games. Scientific Awards : • Top 2% World Scientists (Stanford University, 2021–2022) via Scopus citation metrics. Grants & Collaborations : Co-edited multiple IGI Global and Springer handbooks on mobile learning , computational thinking , and STEM robotics . Collaborated with researchers across Europe on digital game data collection (ThimelEdu) and STEAM curricula .

• Management Information Systems
• Workflow Management
• Complex Event Processing
• +۷ مورد دیگر

Dr. Yiannis Verginadis is an Assistant Professor in Management Information Systems at the Department of Business Administration, Athens University of Economics and Business (AUEB). With over 15 years of experience in ICT projects, his research focuses on management of information systems workflow management complex event processing cloud computing and security adaptive systems context-aware access control He holds a Diploma and Ph.D. in Electrical and Computer Engineering from the National Technical University of Athens, specializing in inter-organizational workflow systems for e-Government. His career includes adjunct lecturer roles at the University of Thessaly and Technological Educational Institute of Kalamata. Research trends from his publications include: Cloud continuum brokerage and decentralized data management (2023-2025) Attribute-based access control for healthcare data (2021-2024) Workflow optimization in multi-cloud environments (2016-2023) Federated learning applications (2022-2024) Event-driven architectures and ontological modeling (2009-2021) Security-by-design frameworks (2013-2021) Dr. Verginadis has authored a book on Information Management Systems and contributed to works on e-Participation, adaptive web services, and ambient assisted living systems. He has served on over 25 journal and conference review committees and published 60+ peer-reviewed papers.

Sotirios Xydisمشاهده پروفایل

استادیار

• Hardware/Software Co-design
• High Level Synthesis
• Hardware Accelerators
• +۷ مورد دیگر

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.

Anastasios Gounarisمشاهده پروفایل

استاد

• Distributed Databases
• Autonomous data processing
• Big Data Management
• +۷ مورد دیگر

Anastasios Gounaris is a Professor at the Department of Informatics, Aristotle University of Thessaloniki, where he has been a faculty member since April 2008. He previously served as a Visiting Lecturer at the University of Cyprus (2007-2008) and held research positions at the University of Manchester and CERTH. His academic journey includes a PhD from the University of Manchester (2005), an MPhil from UMIST (2002), and a degree in Electrical and Computer Engineering from Aristotle University of Thessaloniki (1999). His research spans Distributed Databases, Autonomous Data Processing, Big Data Management, Workflow Optimization, and Data Mining . He has made significant contributions to large-scale data management systems, massive parallelism techniques, and business process analytics. His work bridges theoretical computer science with practical industrial applications, particularly in predictive maintenance and edge computing environments. His recent publications (2024-2025) demonstrate a strong focus on process mining, anomaly detection, predictive maintenance systems, and edge analytics . These works address critical challenges in handling evolving data streams, optimizing task allocation in resource-constrained environments, and developing parameter-free algorithms for real-world applications. His research shows consistent progression from foundational database systems work to cutting-edge applications in industrial IoT and healthcare analytics. Dr. Gounaris has successfully supervised numerous PhD students to completion, including Athanasios Naskos (2017), Georgia Kougka (2017), Christos Bellas (2022), Theodoros Toliopoulos (2022), Anna-Valentini Michailidou (2023), Ioannis Mavroudopoulos (2024), and Konstantinos Varvoutas (2025). His research has been supported by multiple national and European projects including DataflowOpt, PRECognition, NavGreen, CUREX, Rainbow, Lifechamps, and Trineflex. He is an active member of Datalab (formerly Delab) and has contributed to industry applications through collaborations with companies such as Comidor, Gnomon, Istognosis, Atlantis, AFS, Follow-Apps, Sboing, and Upcom. His work demonstrates a strong commitment to transferring research results to real-world applications while maintaining academic rigor.

• Numerical Optimization
• Computational Intelligence
• Swarm Intelligence
• +۶ مورد دیگر

Konstantinos Parsopoulos is a Professor at the Department of Computer Science & Engineering, University of Ioannina. He holds a Dipl. Mathematics (1998) and M.Sc. in Mathematics of Computers and Decision Making (2000) from the University of Patras, where he also earned his Ph.D. in Intelligent Optimization (2005). Prior to his current role, he served as a Lecturer at the Department of Mathematics, University of Patras (2008–2009). His academic journey includes positions as Assistant Professor (2009–2016), Associate Professor (2016–2022), and Professor (since 2022) at the University of Ioannina. His research focuses on Numerical Optimization, Computational Intelligence (including Evolutionary Computation and Swarm Intelligence), and Computational Operations Research. These areas encompass the development and analysis of metaheuristics, algorithm portfolios, and optimization techniques for real-world applications such as logistics, financial forecasting, and engineering systems. His work emphasizes parallel computing strategies, reinforcement learning for parameter adaptation, and software tools like SOMO-VCB for stochastic optimization. Parsopoulos has contributed to diverse optimization challenges, including crowdshipping models, neural network-based differential equation solvers, and variance counterbalancing in stochastic systems. His publications span topics from theoretical algorithm design to practical implementations in MATLAB and distributed computing environments. Despite his extensive contributions, no scientific awards are explicitly mentioned in the provided texts. In terms of academic leadership, he has advised numerous students (though no names are listed) and has been involved in grants related to optimization software and algorithmic research. His collaborations extend to cross-disciplinary projects in visual sensor networks, traffic light optimization, and bioinformatics, reflecting the broad applicability of his optimization methodologies.

• services marketing
• tourism
• professional and financial services
• +۷ مورد دیگر

Kalipso Karantinou serves as Associate Professor of Marketing at Athens University of Economics and Business (AUEB), holding appointments in the Department of Marketing and Communication within the School of Business. She maintains active teaching responsibilities across undergraduate, postgraduate, and doctoral programs while leading significant research initiatives including an EU-funded project on Managing Digital Transformation. Her academic credentials include: BSc in Communication and Mass Media (valedictorian), National and Kapodistrian University of Athens Masters in Marketing, University of Manchester Postgraduate Certificate of Academic Practice, University of Manchester PhD in Marketing, University of Manchester Dr. Karantinou's research investigates consumer behavior through multiple lenses including services marketing, tourism, and digital transformation. She examines how servicescapes (physical and virtual environments), economic austerity, and neuromarketing techniques shape customer experiences. Her work bridges marketing theory with psychological and socioeconomic perspectives, particularly regarding consumer resilience during crises and the impact of digital innovation on service delivery. Analysis of her 15 most recent publications (2018-2025) reveals three dominant trajectories: (1) austerity-driven consumer adaptation and resilience strategies across European markets, (2) servicescape dynamics in tourism/hospitality contexts using complexity theory, and (3) innovative methodological applications including EEG neuroscience and video-ethnography. Her 2025 complexity theory paper extends foundational servicescape research into nonlinear consumer response modeling. She has received multiple teaching excellence awards and research recognition, including service as Greece's representative to the European Marketing Academy Executive Committee (2013-2019). Her current EU-funded project on digital transformation exemplifies her leadership in connecting academic research with industry applications. Dr. Karantinou actively supervises students at all academic levels while directing a robust research team focused on digital transformation and consumer behavior. Her professional engagement extends to executive training programs for business leaders, translating academic insights into practical business solutions through collaborations with industry partners.

Hadjiefthymiades Stathesمشاهده پروفایل

استاد

• IoT Security
• Cloud Computing
• Machine Learning
• +۷ مورد دیگر

Hadjiefthymiades Stathes is a Professor at the Department of Informatics and Telecommunications, National and Kapodistrian University of Athens. His primary research division focuses on Computer Systems and Applications. He specializes in IoT security, cloud computing, machine learning, and edge computing, with notable contributions to data analytics, trust management, and cybersecurity in distributed systems. Research Interests: His work spans IoT security protocols, optimization of cloud storage systems, anomaly detection in Kubernetes environments, and predictive analytics for sensor networks. He has explored trust models in pervasive computing, energy-efficient node authentication, and hardware-accelerated mixed reality interfaces. His recent projects include frameworks for Earth observation data accessibility and next-generation internet experimentation platforms. Publications: His recent articles highlight advancements in IoT data reduction techniques, trust sustainability in infrastructure, and the application of Markov chains for multivariate event correlation. He has also contributed to the design of experiment description languages for mobile IoT and emergency response platforms for radiological incidents. Awards & Grants: No scientific awards or grants were explicitly mentioned in the provided texts. Labs & Teams: His research involves collaborations on projects like EO4EU-AI (Earth observation with extended reality interfaces) and TRACE (logistics integration systems). He is affiliated with the university's advanced systems research groups focusing on edge computing and secure IoT ecosystems.

Giorgos Psycharisمشاهده پروفایل

دانشیار

• Mathematics Education
• Digital Technologies in Education
• Teacher Training
• +۶ مورد دیگر

Giorgos Psycharis is an Associate Professor of Mathematics Education at the Department of Mathematics, National and Kapodistrian University of Athens (since 2021). Previously, he served as a Lecturer (2011-2015) and Assistant Professor (2016-2020) at the same institution. He holds a BSc in Mathematics (1991) and a PhD in Mathematics Education (2005) from the University of Athens. His research focuses on integrating digital technologies into mathematics education, designing learning environments, and enhancing teacher education. Key areas include students’ construction of mathematical meanings, authentic task integration, and professional development for both prospective and practicing teachers. He has led over twelve STEM-related European/international projects and authored over 60 peer-reviewed publications. Psycharis emphasizes classroom innovation through digital tools and lesson study methodologies. His articles explore topics like teacher identity, collaborative resource design, and the balance between programming and mathematics in teaching. He has supervised 35+ master theses and 3 doctoral theses, fostering a new generation of educators. His work bridges theory and practice, advocating for authentic tasks and boundary-crossing between school mathematics and real-world applications (e.g., marine navigation). He collaborates with teacher educators to align curricula with workplace practices and promote inquiry-based learning.

George Papagiannakisمشاهده پروفایل

استاد

• Mixed Reality
• Computer Graphics
• Virtual-Augmented Reality
• +۶ مورد دیگر

George Papagiannakis is a Professor of Computer Graphics at the University of Crete, Greece, and a Marie Sklodowska-Curie Fellow at FORTH's Institute of Computer Science. He holds visiting professorships at the University of Geneva and leads the Computer Graphics Group. His research focuses on mixed reality, GPU programming, and medical XR applications. He earned his PhD from the University of Geneva (2006), M.Sc. from Bristol, and B.Eng. from Manchester. His work includes pioneering projects like MAGES SDK (medical XR training platform) and pyGANDALF (educational framework). Key contributions span over 130 publications, 3400+ citations, and €8M in research funding. He actively participates in EU projects (HDRi, Hifi-PRINTER) and has been awarded the Marie-Curie Fellowship, Best Paper Awards, and NVIDIA grants. Teaching includes advanced courses on computer graphics and programming at the University of Crete. He advises students across 4 postdocs, 15 PhDs, and numerous MSc/BSc candidates. His lab develops cutting-edge tools for immersive technologies, including geometric algebra applications in 5G/6G XR environments.

Ioannis Thanosمشاهده پروفایل

دانشیار

• Strategic Management
• Mergers and Acquisitions
• International Business
• +۵ مورد دیگر

Ioannis Thanos is an Associate Professor of Management at the Athens University of Economics and Business (AUEB), Greece. He previously held roles as Senior Lecturer in Strategic Management and PhD Director at Lancaster University Management School (UK) and Lecturer in Management at the University of Glasgow (UK). His academic career spans teaching and research across institutions including École des Ponts Business School (France) and National and Kapodistrian University (Greece). Education: BSc in Business Administration, AUEB MSc in Marketing and Strategy, University of Warwick Postgraduate Certificate in Academic Practice, University of Glasgow PhD in Business Administration, AUEB Research Interests: Thanos focuses on strategic decision-making processes, Mergers and Acquisitions (M&A), internationalization strategies of SMEs, and organizational politics. His work bridges theoretical frameworks with practical implications for global business environments. Recognition: Journal of Strategy and Management Best Paper Award (2019) Strategic Management Society Conference Best Paper Award Two-time nominee for Best Paper at SMS and EIBA conferences Teaching & Outreach: Thanos has taught in Executive MBA, MBA, MSc, and PhD programs across Europe. He delivers workshops on leadership, strategic management, and change management in countries including England, France, Greece, Hungary, and Tunisia. Publications: Over 30+ articles in journals such as British Journal of Management and Journal of World Business , plus book chapters in volumes like Handbook of Mergers and Acquisitions (Oxford UP). His work emphasizes contextual factors, M&A performance, and SME resilience.

Konstantinos D. Blekasمشاهده پروفایل

استاد

• Machine Learning
• Autonomous Agents
• Computer Vision
• +۱ مورد دیگر

Konstantinos D. Blekas is a Professor at the Department of Computer Science & Engineering , Polytechnic School, University of Ioannina. His career spans over 25 years with research focusing on Machine Learning , Autonomous Agents , Computer Vision , and Bioengineering . Education: Diploma in Electrical Engineering (1993) and PhD in Electrical & Computer Engineering (1997) from NTUA. Teaching: Offers courses like Probabilities & Statistics (MY304), Machine Learning (MYE002), Data Mining, and Bioinformatics. Research Interests include advanced machine learning techniques, reinforcement learning applications in traffic and robotics, image segmentation, and bioinformatics for medical data analysis. His work bridges theoretical innovation with practical implementations in autonomous systems and biomedical research. Recent Publications highlight trends in multiagent reinforcement learning , neural network optimization , and fMRI data modeling , with applications in robotics, air traffic management, and biomedical imaging. Collaborative projects often integrate spatial constraints and generative models. Scientific Awards Best Paper Award, DASC 2018 Best Student Paper Award, SETN 2018 2nd Winner, AIBIRDS 2014 Competition Professional Impact includes mentoring students, developing educational curricula, and cross-disciplinary research in medical AI. His work is widely cited (>1000 citations) with contributions to journals like Neural Networks , Medical Imaging , and AI Magazine .