Loukas Hadellis is a Professor in the Department of Electrical Engineering and Computer Technology at the University of Patras. He holds a PhD from the same department (2002) and a Master of Engineering from Carleton University, Canada (1983). His research focuses on Industrial Communication, Smart Grid technologies, Sound Engineering, and Fiber Optic Communication. He advises on projects related to IoT, Energy Management, and Automation Systems. Research interests include fieldbuses, microcontrollers, industrial IoT, interoperability, distributed control, and smart grid DSM/ADR. He has contributed to advancements in audio electronics, optical communication systems, and context-aware control frameworks. His work integrates theoretical models with practical applications, such as optimizing energy costs in smart homes and developing demand response systems for smart grids. He maintains active collaborations in both academic and industrial sectors.
Elias N. Zois is an Associate Professor in the Department of Electrical & Electronics Engineering at the University of West Attica, where he has taught since 2019. Previously, he held positions as Lecturer (since 2009), Assistant Professor (2015-2022), and Adjunct Professor at multiple institutions including the Hellenic Army Academy and Hellenic Police Academy. He received his B.Sc. (1994), M.Sc. (1997), and Ph.D. (2000) in Physics and Electronics Engineering from the University of Patras, Greece. His research focuses on digital signal processing , image processing , pattern recognition , and specialized applications in handwriting biometry and offline signature verification . Recent work extends to smart grid optimization , including load forecasting and non-technical loss detection using machine learning techniques. Analysis of his 15 most recent publications reveals strong interdisciplinary trends: 60% focus on advanced biometric verification using Riemannian geometry and metric learning, while 40% apply machine learning to energy systems. Key methodologies include sparse coding, manifold learning, and neural network ensembles, with consistent applications in security systems and smart grid resilience. He has led multiple funded projects including: BioControl (2021-2023): Experienced Researcher for biometric systems Ireact-NG (2018-2021): Experienced Researcher in smart grid technologies ESA SimSat Engine Enhancement (2011-2015): Theoretical Project Manager for aerospace simulations He directs research at the TELSIP Laboratory (Building Z, University of West Attica), specializing in signal processing and pattern recognition systems.
Stefanos Papadakis serves as a Research Staff Scientist at the Telecommunications and Networks Laboratory (TNL) of the Institute of Computer Science at Foundation for Research and Technology-Hellas (FORTH) and holds an Adjunct Lecturer position in the Department of Computer Science at the University of Crete. Since 2001, he has pioneered hardware and software prototyping at TNL-FORTH, currently leading the Software Defined Radio (SDR) group he established to drive vertical integration from physical layer design to application development. His educational foundation includes a Physics degree (2001) and M.Sc. (2004) and Ph.D. (2009) in Computer Science, all earned at the University of Crete. Teaching responsibilities encompass core courses CS-330: Introduction to Telecommunication Systems Theory and CS-435: Network Technology & Programming. Papadakis' research spans wireless innovation frontiers including software-defined/cognitive radios, spectrum sharing, heterogeneous networking, position location, radio propagation modeling, and emergency communications. His work emphasizes practical implementation, yielding functional prototypes across the entire communications stack. Notable contributions include GPU-accelerated SDR frameworks, robust spectrum virtualization techniques, and emergency response communication systems validated through international competitions. Analysis of his 15 most recent publications (2010-2016) reveals dominant themes in SDR optimization for IoT and critical communications, with significant focus on GPU parallelization, interference management in dense networks, and real-time spectrum sharing mechanisms. His experimental approach consistently bridges theoretical models with hardware validation, particularly in emergency response and heterogeneous network scenarios. Key recognitions include: Ericsson Award of Excellence in Telecommunications for position location research First place in PENED doctoral proposal competition Fourth place in IEEE DySPAN 2015 5G Spectrum Challenge Second place in Virginia Tech ShaRC 2016 with the 'Skynet' cognitive radio system Mentorship spans 16 undergraduate projects (11 completed), 8 M.Sc. students (3 completed theses), and 1 Ph.D. candidate. His research is sustained through major EU and national projects including REDComm (emergency communications), EU-MESH (metropolitan networks), RERUM (IoT security), and Heraklion smart city initiatives. The SDR group maintains critical infrastructure like the Heraklion metropolitan wireless network, FORTH campus network, and specialized mobile emergency nodes equipped with multi-radio SDR platforms, satellite transceivers, and high-performance computing resources.
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.
Dimitrios Kallergis is a Lecturer in Net-Centric Systems and Cloud Computing at the University of West Attica's Department of Informatics & Computer Engineering since 2019. He holds expertise in cybersecurity, cloud/fog/edge computing, ad-hoc networking, cyber-physical systems, and IT law. His research bridges theoretical frameworks with practical applications in healthcare, transportation, and environmental systems. Kallergis has contributed to European Union Agency for Cybersecurity (ENISA) projects and serves as a guest editor for scientific journals and conference TPC member. Previously, he served as a Research/Teaching Associate (2000-2017) at the Piraeus University of Applied Sciences and coordinated student placement programs. He is also a visiting lecturer at the University of Piraeus and University of West Macedonia. His work emphasizes secure network protocols, resource allocation in healthcare networks, and IoT security. Key research trends in his publications focus on cybersecurity challenges in emerging technologies like EV charging systems, healthcare-oriented networks, and intelligent transportation systems. He integrates stochastic modeling (e.g., SPN) and policy-driven architectures to address security and efficiency in distributed systems. His advising and professional activities include technical coordination in EU-funded R&D projects and contributions to regulatory frameworks for IT systems. He actively engages in cross-border cloud security performance studies and hybrid cloud approaches for spatial data management.
Karakostas Vasileios is an Assistant Professor at the Department of Informatics and Telecommunications of the National and Kapodistrian University of Athens. His research focuses on computer architecture, cloud computing, and energy-efficient hardware systems. He specializes in areas such as RISC-V processors, virtual memory systems, and hardware security. Vasileios leads projects like NEUROPULS (neuromorphic secure accelerators) and Vitamin-V (RISC-V-based cloud infrastructure validation). His work emphasizes resilience analysis, performance optimization, and trustworthy development frameworks. Education and employment details are not explicitly provided in the source text, but his extensive publication record since 2011 demonstrates continuous academic engagement. Key research trends include: Memory systems optimization (e.g., TLB hierarchies, elastic translations) GPU and SoC fault tolerance analysis Cloud resource management (ACTiCLOUD, DAPHNE runtime) Open-source hardware validation (Vitamin-V project) Notable contributions include the Gem5-marvel simulator for heterogeneous architectures and BypassD for SSD access acceleration. His work bridges theoretical computer architecture with practical cloud and embedded system applications.
Professor George Korres specializes in Electric Power Engineering at the National Technical University of Athens. His research encompasses power system analysis, protection schemes, and industrial control systems. Teaching responsibilities include courses on: Supervision/Management of Energy Systems Energy Control Centers Power System Protection Recent research focuses on advanced state estimation techniques for modern power grids, particularly hybrid measurement systems combining SCADA and PMU data. Publications demonstrate applications in transmission networks, HVDC systems, distribution grids with renewable integration, and adaptive protection for island systems.
Professor Vasilios Tsaousidis is affiliated with the Department of Electrical and Computer Engineering at Democritus University of Thrace since 2003. He was elected Professor in 2007 and has held visiting positions at MIT (2009) and Technical University of Berlin (2005). His work is conducted within the Programming and Information Processing Laboratory and focuses on DTN , Information-Centric Networking , and Space Internetworking . Education : Applied Mathematics (Aristotle University, Greece), Computer Science PhD (Humboldt University, Berlin) Postdoctoral Experience : Rutgers University, SUNY Stony Brook, Northeastern University His research spans transport/network layers with emphasis on energy-efficient and delay-tolerant protocols. Key areas include congestion control , QoS mechanisms , and reliable data dissemination in challenged environments. His publications from 2023-2025 focus on Kubernetes networking , edge cloud , and blockchain-integrated trust systems , demonstrating adaptability to emerging paradigms like IoT and space networking . Current projects like UMOBILE and SENSKIN explore mobile-centric architectures and structural health monitoring systems. Earlier work with SPICE (2010-2014) pioneered space internetworking protocols for Mars data transmission and space weather applications .
Professor Kourkoubetis Konstantinos is a faculty member at the Department of Informatics, School of Information Sciences and Technology, Athens University of Economics and Business (AUEB). He holds a Ph.D. in Electrical Engineering and Computer Science from the University of California, Berkeley, following his Master's degree from the same institution and undergraduate degree from the National Technical University of Athens. His research focuses on network economics and telecommunications, with particular expertise in peer-to-peer systems, network pricing models, and high-speed network technologies. His work bridges theoretical computer science with practical telecommunications applications, developing mathematical models for network resource allocation and economic incentives. His publication record demonstrates consistent contributions to top networking conferences and journals, with a notable book Pricing Communication Networks: Economics, Technology and Modeling (Wiley, 2003) serving as a key reference in the field. His research shows a clear progression from theoretical network models to practical economic applications in telecommunications infrastructure. Professor Kourkoubetis has led significant research projects including MMAPS (Economic models for peer-to-peer systems) and M3I (Internet billing systems), and has contributed to major initiatives like the EuroNGI Network of Excellence. His work with the Energy Regulatory Authority on power import rights auctions demonstrates real-world impact of his theoretical research. Scientific Director of Communications and Networks Center, University of Crete (1996-2000) Head of Telecommunications and Networks Department, Institute of Informatics, FORTH (1990-1999) Head of Laboratory of Economics and Systems Theory, AUEB (2000-present) Member of National Research Council (2002-2003) Board Member of Information Society SA (2003-2004) His leadership extends to program committees for major conferences including INFOCOM and ICQT, reflecting his standing in the international networking research community. His dual expertise in theoretical computer science and economic modeling has positioned him as a key contributor to the development of economic frameworks for modern network infrastructure.
Professor Vassilis Kouikoglou is affiliated with the School of Production Engineering and Management at the Technical University of Crete. His academic role is as a Professor in the PEM Department, focusing on interdisciplinary research at the intersection of engineering, environmental science, and decision-making systems. His work emphasizes sustainability assessment models, climate policy analysis, and operations research applications in production systems and healthcare. Research interests include sustainability evaluation frameworks (e.g., SAFE methodology), climate change mitigation strategies, energy systems optimization, and fuzzy logic applications in decision analysis. He has contributed to studies on national and urban sustainability rankings, healthcare resource allocation under climate change, and production systems dynamics. Recent publications (2021-2024) highlight advancements in axiomatic sustainability models, climate policy modeling, and energy system assessments. His work often bridges theoretical mathematical approaches with practical policy implementation, addressing global challenges like climate security and pandemic response through data-driven methodologies. Professor Kouikoglou’s research extends to production network optimization, quality-driven market analysis, and supply chain dynamics. His publications frequently employ systems analysis and control theory principles to improve decision-making processes in complex systems.
Professor Eleni Ekaterini Leligou is a full-time faculty member at the University of West Attica , serving in the Department of Industrial Design and Production Engineering since November 2017. Previously, she taught at the Technological Educational Institution of Central Greece (2007–2017) and was a research associate at the National Technical University of Athens (1998–2007). Education Diploma in Electrical and Computer Engineering, National Technical University of Athens (1995) PhD in Electrical and Computer Engineering, National Technical University of Athens (1998–2002) – thesis graded “Excellent” Research Interests Her work lies at the intersection of computer networks, blockchain, Internet of Things, and artificial intelligence with a strong emphasis on industrial and energy-management applications . Specific themes include trust and routing protocols for sensor networks, FPGA-based acceleration of network algorithms, blockchain-enabled network security, IoT solutions for smart energy systems, and federated-learning models for maritime energy optimisation. Teaching Contributions At undergraduate level she delivers core courses on Internet Technology in the Digital Industry, Cloud Computing Engineering and Data Security and Protection . At postgraduate level she contributes to four distinct programmes: Artificial Intelligence and Deep Learning (inter-departmental MSc), Information Systems (Hellenic Open University), Production and Service Automation , and New Technologies in Shipping and Transportation . Publications Overview Her 2024–2025 scholarly output demonstrates an aggressive push toward next-generation networks (6G, LiFi, RIS), blockchain integration in diverse domains (gaming, supply-chain, PLC security), and AI/ML methodologies ranging from federated learning to GAN-based image generation, all applied to industrial, maritime and educational contexts. Laboratory & Teams She conducts her research within the Computational Intelligence and Intelligent Systems Laboratory – EYNES , leading projects that blend networked embedded systems, AI and blockchain technologies.
Efstratiadis Andreas serves as an Assistant Professor in the Department of Water Resources and Environmental Engineering at the School of Civil Engineering, National Technical University of Athens (NTUA), based at the Laboratory of Hydrology and Water Resources Development. His research spans water resources systems, hydropower infrastructure, and the water-energy nexus, with emphasis on stochastic modeling and uncertainty quantification. His primary research interests include stochastic hydrology, flood risk assessment, multipurpose reservoir optimization, and renewable energy integration. He investigates cascading infrastructure failures, spatial reliability in solar PV systems, and climate-energy market uncertainties, often employing advanced simulation-optimization frameworks to address complex water-energy challenges under environmental variability. Recent publications (2023–2025) reveal a strong focus on hydropower dam safety, flood control infrastructure design, and the operational trade-offs in multipurpose reservoirs. His work increasingly integrates Earth Observation data for hydrologic modeling and examines socio-technical dimensions of the water-energy nexus, reflecting a shift toward interdisciplinary systems analysis. Dr. Efstratiadis contributes to NTUA's Laboratory of Hydrology and Water Resources Development, which develops decision support systems like Hydronomeas 2020 and national monitoring infrastructure (OpenHi.net) for Greek surface waters. His lab emphasizes computational tools for water resources management under climate uncertainty.
Georgios Papadakis is a Professor at the Agricultural University of Athens , affiliated with the School of Environment and Agricultural Engineering . His work bridges agricultural systems with renewable energy technologies, focusing on sustainable solutions for water scarcity, energy efficiency, and climate adaptation. Research Interests: Renewable energy integration in agriculture, desalination technologies (particularly solar-powered reverse osmosis), bioenergy systems, and smart infrastructure for sustainable farming. His projects include the TANGO-Circular and AGROFOSSILFREE initiatives, targeting circular economy training and fossil-energy-free agriculture. Teaching: Educates students in advanced topics such as Renewable Energy Technologies , Smart Grids , and Water Resources Management , with a focus on practical applications in agricultural machinery and distributed energy systems. Technological Innovation: Pioneered computational tools for PV-RO desalination systems and explored hybrid energy systems for remote communities, including blockchain-enabled microgrids and low-temperature Organic Rankine Cycles (ORC). Recent Publications highlight trends in decarbonizing agriculture, experimental RO desalination under variable conditions, and renewable energy adoption in EU farming sectors. His work emphasizes interdisciplinary approaches combining environmental science, engineering, and policy analysis.
Stavros Papathanassiou is a Professor at the National Technical University of Athens (NTUA) in the School of Electrical and Computer Engineering, Division of Electric Power. He leads the Electric Machines and Power Electronics Laboratory and holds senior roles in IEEE and CIGRE. His research focuses on renewable energy integration, distributed generation, and power systems engineering, with over 200 publications and 50+ research projects. He advises on grid design, energy policy, and storage solutions for high renewable penetration systems. Educations: Diploma and PhD in Electrical Engineering (NTUA, 1991 & 1997). Roles: CIGRE Study Committee SC6 member, Secretary of CIRED Greek Liaison, and former HTSO Executive Board member. His research emphasizes distributed energy systems, grid resilience, and storage technologies. Recent work explores hybrid PV-storage systems, battery aging impacts, and export constraints for renewable integration. He has been awarded the CIGRE Technical Committee Award 2013 for contributions to distribution systems. Teaching includes courses on renewable energy, power systems, and power electronics, reflecting his expertise in transitioning to sustainable energy systems. Key projects involve grid stability in non-interconnected islands, HVDC interconnections, and storage requirements in high-RES systems. He evaluates energy policies and advises on Olympic infrastructure power systems. Labs: Electric Machines and Power Electronics Laboratory (NTUA).
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.
