Wei Yang is an Associate Professor in the Department of Computer Science at the University of Texas at Dallas, actively contributing to software engineering research through program committee roles at ICSE, FSE, ASE, and ISSTA conferences since 2015. His research focuses on software testing innovation , particularly in mobile security, GUI testing, and AI-driven test automation. Key contributions include frameworks for malware analysis (MalScan), UI exploration (Guardian, Vet), and neural network testing (DeepPerform, EREBA), addressing critical challenges in test oracle generation, flaky tests, and resource-constrained environments. Recent work demonstrates a strategic shift toward LLM and foundation model applications for testing, with 2023-2026 publications exploring vision-language models for GUI testing, parameter ownership in collaborative AI development, and instruction alignment in large language models. This evolution reflects the field's broader trajectory toward AI-integrated quality assurance.
Chronopoulos Antonis is a Professor at the University of Patras, specializing in distributed computing, grid and cloud computing, numerical algorithms, high performance computing, and scientific computing. His research spans both theoretical numerical methods and practical applications in distributed systems. His primary research interests focus on Distributed Computing , Grid and Cloud Computing , Numerical Algorithms , High Performance Computing , and Scientific Computing . His work bridges theoretical numerical methods with practical distributed systems implementations, particularly in the areas of load balancing, parallel iterative methods, and computational efficiency. Analysis of his publication record reveals a career trajectory that began with foundational work in numerical linear algebra and iterative methods in the late 1980s and 1990s, then evolved toward distributed and cloud computing applications in the 2000s and 2010s. His recent work shows increasing focus on healthcare applications of AI and machine learning, particularly in medical diagnostics and decision support systems. His research demonstrates consistent contributions to both theoretical numerical methods and practical distributed computing systems, with recent work expanding into healthcare applications of artificial intelligence.
Prof. Christos Douligeris is a faculty member at the Department of Informatics of the University of Piraeus. He previously served as an Associate Professor at the University of Miami, USA, and holds a Diploma in Electrical Engineering (1984) from the National Technical University of Athens and a PhD (1990) from Columbia University. His career spans academia, industry, and policy-making, including leadership roles in Greek government agencies like Electronic Government S.A. and the Communications Privacy Authority. Diploma in Electrical Engineering, National Technical University of Athens (1984) MS, MPhil, PhD in Electrical Engineering, Columbia University (1985, 1987, 1990) His research focuses on computer networks, emphasizing security, protocols, and applications in precision agriculture, e-health, and IoT. He also explores the educational potential of information and communication technologies at all levels, from vocational training to higher education. His recent publications address cybersecurity in education, AI-driven threat landscape modeling, and immersive digital tools (AR/VR) for pedagogy and cultural heritage. Prof. Douligeris has received significant recognition, including the State Scholarship Foundation (IKY) award for transferring expertise from Greeks abroad to Greece (1987), a Fulbright scholarship (1988), and multiple honors for best work in telecommunications. His research has been funded by bodies such as the European Commission, National Science Foundation, and Greek General Secretariat for Research and Technology. He has supervised over 15 PhD theses and 100+ MSc theses, contributing extensively to academic training and mentorship. He co-authored the book Network Security: Current Status and Future Directions and edited special issues for the IEEE Communications Magazine. His work extends to policy development, curriculum design, and organizing international conferences in communications and security. Though not explicitly mentioning labs or teams, his activities include developing systems like NERO (Cybersecurity Awareness Ecosystem for SMEs) and ACSIS (Intelligent Medical System for Pre-hospital Healthcare).
Michalis Paraskevas is a Professor at the Department of Electrical and Computer Engineering, University of Peloponnese. He specializes in Signal Processing Systems, Broadband Networks, and Telematics Services. He graduated from the University of Patras (1989) and earned his Ph.D. there (1995). His research focuses on digital signal processing, information theory, machine learning applications in image and NLP, and digital education transformation. He has authored 4 textbooks, published over 85 papers, and contributed to 50+ conference committees. He has led large-scale network projects recognized nationally/internationally. He served as Department Head (2019–2021) and directed the 'Data and Media' Lab. Currently, he is Vice President of the Institute of Computer Technology & Publications 'Diofantos', heads the National Support Organization for eTwinning, and coordinates the Greek School Network. Teaching includes undergraduate courses like 'Signals and Systems' and postgraduate programs in Advanced Educational Technologies and STEM education. He is affiliated with TEE, IEEE, and AES.
Nikos Spanoudakis is an Assistant Professor at the Department of Electronic Engineering of Hellenic Mediterranean University , with concurrent research collaboration at Technical University of Crete . He holds a PhD in Computer Science (Artificial Intelligence) from Paris Descartes University (2009, "Très Honorable"), an MSc in Organization and Administration from Technical University of Crete, and a Diploma in Computer Engineering and Informatics from University of Patras. Research Focus: Multi-Agent Systems (AOSE, Computational Argumentation), Model-Driven Engineering , Smart Buildings , IoT , and Artificial Intelligence Applications in Ambient Intelligence, Finance, and Education Key Contributions: Created ASEME Methodology and AMOLA Language for agent modeling, developed Gorgias-B argumentation framework, and designed Kouretes Statechart Editor for robotic behavior specification His recent publications reveal a strong trend in Explainable AI (2023: Explainable Argumentation as a Service ), Smart Energy Systems (2025: Engineering IoT-Based Open MAS for Large-Scale V2G/G2V ), and EdTech Innovations (2024: Role Assignment in Programming Courses ). He has received prestigious ACM Senior Member (2023) and IEEE Senior Member (2012) distinctions, along with teaching recognition (2021) from Technical University of Crete. Academic Leadership: Serves as Editor for Springer Nature's Computer Science journal and has reviewed for 15+ top-tier publications including IEEE Intelligent Systems and Journal of Web Semantics Conference Involvement: Program Committee Member for 20+ international conferences (IJCAI, ECAI, AAMAS, AAAI) and organizer of multiple European Agent Systems Summer Schools
Dr. Menychtas Andreas is an Assistant Professor at the Department of Digital Systems, School of Informatics and Communications, University of Piraeus. He holds a PhD from the National Technical University of Athens (2009), specializing in service-oriented architectures. His teaching focuses on distributed computing, programming, and information systems development across multiple institutions including the University of Piraeus and Hellenic Open University. Research interests center on modern computing infrastructures, software development, and IoT applications, with particular emphasis on Edge Computing, smart cities, telemedicine, and machine learning. He has led over 20 European and national projects, publishing >100 articles with 1,900+ citations. Key areas include AR healthcare solutions, bias mitigation in AI, and secure medical IoT systems. Notable contributions include the MedSecurance project (medical IoT security), CrowdHEALTH platform (big data-driven public health policies), and AGILE framework (open-source edge computing). His work bridges theoretical research with practical implementations in wearable tech, telemedicine systems, and urban smart infrastructure. Grants and collaborations highlight extensive industry partnerships, with current focus on digital twins for healthcare robotics (AI4Work), AI-driven pandemic monitoring, and gamification in healthcare platforms. His lab develops innovative solutions at the intersection of AR, edge computing, and healthcare informatics.
Panayiotis D. Tsanakas is a Professor of Computer Engineering at the National Technical University of Athens (NTUA), serving in the School of Electrical and Computer Engineering within the Department of Information Technology and Computers. Since 2023, he has held the position of Dean of the School of Electrical and Computer Engineering at NTUA. His academic career spans several decades with significant contributions to computer engineering and informatics. His educational background includes a Dipl. in Electrical Engineering from Aristotle University of Thessaloniki (1982), an MSc in Computer Engineering from Ohio University (1985), and a PhD in Computer Engineering from National Technical University of Athens (1988). Tsanakas specializes in high-performance computer architectures, cloud-computing systems, Internet-of-Things (IoT), and AI-based applications in medicine and biology. His research spans parallel and distributed processing, computer architecture, supercomputing applications, and biomedical engineering. He has published over 100 research papers in established scientific journals and conferences, with recent work focusing on AI applications in healthcare, cloud computing security, and advanced medical monitoring systems. His recent publications demonstrate a strong trend toward applying artificial intelligence to healthcare challenges, particularly in mental health monitoring, medical imaging, and biomedical diagnostics. His work frequently combines computer architecture expertise with medical applications, creating innovative solutions for healthcare challenges. 2023-now: Dean of the School of Electrical and Computer Engineering at NTUA 2018-2020: Board member of the EuroHPC Joint Undertaking 2004-2019: Chairman of GRNET, the national research and education network 2005-2009: Member of EETT (The Hellenic Electronic Communications and Posts Regulator) Tsanakas has supervised eight doctoral dissertations and more than 50 diploma theses. He has co-authored seven textbooks on computer systems that have been adopted by several higher-education institutions. His professional experience includes significant roles in national infrastructure development, including leading the design and deployment of advanced networking and cloud services for Greek academic institutions and healthcare facilities.
Konstantinos Limniotis is an ICT Specialist at the Hellenic Data Protection Authority since 2009 and an active academic teaching at multiple Greek and Cypriot universities. He is currently teaching 'Network and Telecommunications Systems Security' at the University of Athens, 'Cryptography' and 'Security risk management' at the Open University of Cyprus, and has previously taught at the University of Peloponnese, Harokopio University of Athens, and Technological Educational Institutes. Since 2022, he is a member of ENISA's Ad Hoc Working Group on Data Protection Engineering. Dr. Limniotis received his B.Sc. in computer science (1999), M.Sc. in communications systems and networks (2002), and Ph.D. in 'Signal Processing Techniques in Cryptography' (2007) from the Department of Informatics and Telecommunications at the National and Kapodistrian University of Athens, under the supervision of Professor N. Kalouptsidis. His research focuses on the intersection of cryptography, security, and data protection. Dr. Limniotis has made significant contributions to cryptographic Boolean functions, particularly in algebraic immunity properties, and has extended his expertise to practical applications in data protection and privacy. His work bridges theoretical cryptography with real-world applications in personal data protection, particularly in the context of GDPR compliance. Recent research directions include post-quantum cryptography, blockchain security, and privacy-enhancing technologies for emerging applications like AI systems and IoT ecosystems. His publications demonstrate a clear trajectory from theoretical cryptographic research to applied security and privacy solutions that address contemporary regulatory and technological challenges. Dr. Limniotis has received multiple 'Excellence in Teaching' Awards from the Open University of Cyprus (2019-2023), recognizing his contributions to cybersecurity education. His teaching spans graduate programs in Computer and Network Security, Telecommunications Systems, and Data Science. As an active contributor to data protection policy, Dr. Limniotis has participated in multiple ENISA reports on pseudonymization techniques, data protection engineering, and personal data sharing. His work with the Hellenic Data Protection Authority since 2009 demonstrates a strong commitment to bridging academic research with practical data protection implementation.
Koutsopoulos Iordanis serves as a Professor in the Department of Informatics within the School of Information Sciences and Technology at Athens University of Economics and Business (AUEB). His office is located at 2, Troias, Kimolou & Spetson Str., 4th Floor, Office 402, with contact details including email jordan@aueb.gr and phone +30 210 - 8203 933. His research spans Federated Learning , Explainable AI for Healthcare , and Edge Computing Systems , with significant focus on the PRE-ACT project for breast cancer radiotherapy optimization. Key interests include energy efficiency algorithms, wireless networking, and AI deployment on resource-constrained devices. His work demonstrates strong interdisciplinary integration between computer science and clinical medicine. Recent publications reveal dominant trends in medical AI applications (particularly breast cancer treatment optimization), federated learning architectures for edge environments, and energy-aware systems . The PRE-ACT project constitutes a major research thrust, combining explainable AI with clinical radiotherapy decision support across multiple international institutions. He actively contributes to wireless networking research with emphasis on Software-Defined Networking (SDN) optimization, controller placement strategies, and tactical MANET implementations. His experimental work includes development of testbeds for federated learning on resource-constrained hardware.
Dr. Aristidis Likas is a Professor at the Department of Computer Science and Engineering, University of Ioannina, Greece. His research spans neural networks, machine learning, data mining, and intelligent systems with applications in medicine and biology. He has contributed to image processing, video analysis, and scientific computing, with a focus on algorithm innovation and biomedical applications. His work has been published in journals such as IEEE Transactions on Neural Networks , Pattern Recognition , and Bioinformatics . He has also served as Associate Editor for IEEE Transactions on Neural Networks (2008-2012) and co-chaired conferences including ECML/PKDD 2011 and SETN 2014. Key projects include VIDEOSUM: Video Summarization PRotEin S-Sulfenylation Server (PRESS) Global k-means algorithm Dip-means clustering
Panagiotis Kasnesis is a Senior Research Fellow at the Department of Electrical & Electronics Engineering, University of West Attica. He holds a Ph.D. in Computer Science from NTUA, alongside degrees in Chemical Engineering and Techno-Economic Systems. His research focuses on machine/deep learning, Semantic Web technologies, multiagent systems, and IoT, with over 20 publications in top journals and conferences. He is an NVIDIA DLI-certified instructor in Natural Language Processing and Computer Vision. Education: Ph.D. (Computer Science, NTUA), Diploma in Chemical Engineering (NTUA), M.Sc. in Techno-Economic Systems (NTUA) Research interests span health informatics, wearable devices, and sensor fusion, with projects in biomedical signal analysis and IoT applications. His work includes developing radar-based systems for health monitoring and AR/VR solutions for rehabilitation. He actively participates in EU-funded projects and promotes trustworthiness in social media through initiatives like EUNOMIA. Recent publications emphasize health tech innovations, such as stress detection via PPG signals, UWB radar-based human detection, and multimodal fusion for 3D pose estimation. His contributions also address cultural heritage preservation through VR and crowdsourcing. Grants and collaborations involve European R&D projects in IoT security, emergency response systems, and decentralized social media frameworks. He leads efforts in embodied AR for medical applications and energy-efficient neural networks.
Vasilis Efthymiou is an Assistant Professor at the Department of Informatics and Telematics at Harokopio University of Athens (HUA), Greece. His research focuses on Big Data database systems, entity resolution, knowledge graphs, and machine learning applications. He has held postdoctoral positions at IBM Research and FORTH-ICS, and contributed to initiatives like the SemTab challenges and TaDA workshops. Education: Diploma in Computer Science (2010), University of Crete. Masters in Information Systems and Bioinformatics (2012), University of Crete. PhD in Entity Resolution in the Web of Data (2017), University of Crete. Research Interests: Efthymiou’s work emphasizes scalable entity resolution techniques, fairness-aware AI systems, and knowledge graph integration. He explores applications in cybersecurity, natural language interfaces, and privacy-preserving data analytics. Recent projects include automated entity resolution pipelines (e.g., TREATS) and hybrid graph neural networks for entity alignment (HybEA). Publications: His 60+ papers span venues like VLDB, SIGMOD, and AAAI. He co-authored two books and holds four US patents in data systems. Notable works include surveys on end-to-end entity resolution and fairness-aware entity resolution tools. Grants & Labs: He co-organized international workshops (e.g., TaDA) and contributed to benchmarking systems like SemTab. His team develops tools like FairER and pyJedAI, emphasizing open-source solutions for data integration challenges.
Dimitris Kalogeras is a Researcher at the National Technical University of Athens (NTUA) , affiliated with the School of Electrical and Computer Engineering and the EPISEY research institute. He has been a key contributor to advanced networking initiatives, including the NTUA Network, EDET optical network, and University School Network. His work spans national and European projects like GEANT, 6net, and NOVI, and he pioneered IPv6 and multicast deployment in Greece and Europe. His research focuses on Network security Internet of Things (IoT) Artificial intelligence in networking Cyber-physical systems Robotics Medical image processing Recent work involves federated learning, UAV-based localization, and privacy-preserving frameworks in IoT environments. An analysis of his 15 most recent publications reveals strong emphasis on applications of machine learning in network security, robotic infrastructure maintenance, and lightweight AI for IoT. His projects include thethingsNetwork deployment in Athens, the HERON robotic platform, and the FELICE collaboration framework. He has contributed to global IoT initiatives through multi-channel LoRAWAN gateways and 6LowPAN mesh networks. His work on blockchain-based DDoS mitigation and semantic-aware policy management demonstrates leadership in cyber infrastructure resilience.
Konstantinos Demertzis is a Postdoctoral Researcher in Cyber Security of Critical Infrastructures at the School of Civil Engineering, Democritus University of Thrace. He also serves as Chief Information Security Officer at the Research & Informatics Directorate of the Greek Army and maintains research affiliations with National and Kapodistrian University of Athens. His academic journey includes PhD studies in Advanced Machine Learning and multiple Master's degrees spanning Mathematics, Cyber Security, Big Data, and Networking Technologies. PhD in Advanced Machine Learning (2017) - Democritus University of Thrace MSc in Mathematics (2020) - University of Crete MSc in Cyber Security and Big Data (2020) - University of Thessaly MSc in Networking Technologies (2012) - University of the Aegean BSc in Military Science (1996) - Academy of Non-Commissioned Officers Demertzis's research spans the intersection of machine learning, cybersecurity, and critical infrastructure protection. His work focuses particularly on developing intelligent systems for cyber defense of urban critical infrastructure, with applications in smart grids, environmental monitoring, and disaster response. His methodology often combines biologically inspired computational intelligence approaches with blockchain technology and federated learning frameworks. He has published extensively in high-impact journals with particular emphasis on anomaly detection, adaptive learning systems, and privacy-preserving architectures. His recent publications demonstrate a clear trend toward increasingly sophisticated integration of machine learning with critical infrastructure security. The 15 most recent papers show progression from foundational machine learning applications to complex, multi-layered security architectures incorporating blockchain, explainable AI, and cross-modal neural networks. His work consistently addresses real-world security challenges in industrial control systems, smart cities, and military applications. Windows Azure for Research Award Winner (2015-2016) Multiple Postgraduate Academic Excellence Scholarships Google Scholarship (2017-2018) Cisco CCNA Cyber Ops Scholarship (2017-2018) Best Research Paper Award at ISCRAM-med 2017 IBM Cloud Award (2017) Demertzis has advised multiple research projects including the Operational Programme 'Digital Convergence' and the Electoral Observatory Internet Research Programme. His technical expertise spans a wide range of cybersecurity domains including network security, blockchain applications, and AI-powered threat detection systems. He maintains active collaborations across academic and military institutions, with particular focus on protecting critical national infrastructure. His laboratory work primarily centers on the Lab of Forest-Environmental Informatics and Computational Intelligence, where he has developed intelligent models for environmental risk assessment and critical infrastructure protection. Current research directions include blockchained adaptive federated auto meta-learning architectures for cybersecurity and privacy in Industry 4.0 environments.
Georgios Th. Papadopoulos is an Assistant Professor at the Department of Informatics and Telematics at Harokopio University of Athens. He holds a Diploma and PhD in Electrical Engineering from Aristotle University of Thessaloniki and completed postdoctoral research at CERTH and FORTH. With over 50 peer-reviewed publications, he actively contributes to European research projects, serving as Technical Coordinator for Anti-FinTer and Ceasefire projects. His research focuses on: Computer vision and deep learning for security applications (X-ray analysis, gesture recognition) Federated learning systems for intrusion detection and cybersecurity Human-robot collaboration frameworks Explainable AI methodologies Multi-agent systems for IoT and edge computing His recent publications demonstrate strong emphasis on federated learning architectures, security applications of computer vision (especially X-ray threat detection), and human-centered AI systems. Research trends show growing focus on cybersecurity countermeasures, multimodal learning systems, and deployment of AI in public safety domains. He has led significant EU-funded initiatives including: Technical Coordinator: Anti-FinTer, Ceasefire, DANTE, ANITA Deputy Coordinator: HR-Recycler, LASIE Contributor: aceMedia, K-Space, MESH, Vidi-video, GLOCAL, CEEDs, REVERIE, RePlay
