Christos Liaskos is an Assistant Professor at the Department of Computer Science and Engineering, University of Ioannina (UoI), Greece. He is also a researcher at the Foundation for Research and Technology-Hellas (FORTH). His expertise spans computer networks, wireless communication systems, and nanotechnology, with a focus on reconfigurable intelligent surfaces (RIS), metasurfaces, and their applications in 6G, IoT, and autonomous systems. He holds a PhD in Computer Networking from Aristotle University of Thessaloniki (AUTH) and has published extensively in IEEE venues. Education: Diploma in Electrical and Computer Engineering (AUTH, 2004) MSc in Medical Informatics (AUTH Medical School, 2008) PhD in Computer Networking (AUTH Informatics Department, 2014) Research Interests: Programmable wireless environments using software-defined metasurfaces RIS-assisted architectures for 5G/6G networks IoT and UAV communication systems Energy-efficient trajectory design for drones Beam steering and wavefront control in mmWave systems His recent work explores applications like RIS-based autonomous driving, optical wireless positioning, and fault-tolerant routing in metasurface networks. He contributes to open-source simulation frameworks (e.g., Cooperis) and collaborates on EU projects like VISORSURF, advancing the Internet-of-Materials concept.
Georgios Keramidas is an Assistant Professor in Computer Architecture at the Department of Informatics, Aristotle University of Thessaloniki . He also holds an Adjunct Professor position at the Hellenic Open University and collaborates with institutions like the University of Peloponnese and University of Patras . Research Interests : Computer Architecture, Memory Systems, Multicore/GPU Design, Low-Power Techniques, Fault-Tolerant Systems His work focuses on cache optimization , energy-efficient computing , and security-aware memory design . Key contributions include DVFS frameworks , reuse-distance prediction , and non-deterministic cache mechanisms . Recent article trends highlight innovations in computation-in-memory , IoT platform components , and security/low-power co-design . Patents on image compression and GPU optimization reflect practical applications of his research. Academic Network : Collaborates with institutions including University of Patras , University of Manchester , and TU Dresden
Professor Panagiotis Demestichas serves as a faculty member in the Department of Digital Systems at the University of Piraeus, where he has been a Professor since April 2012. He heads the Laboratory of "Telecommunication Networks and Integrated Services" and has held significant leadership positions including Chair of the Department of Digital Systems from 2011 to 2015. His academic journey began with Bachelor's and Doctoral degrees in Electrical Engineering from the National Technical University of Athens. Professor Demestichas' educational background includes: Bachelor's Degree in Electrical Engineering, National Technical University of Athens Doctoral Degree in Electrical Engineering, National Technical University of Athens His research spans the forefront of telecommunications and network technologies, with particular expertise in 5G and emerging 6G systems. Professor Demestichas focuses on smart/cognitive/autonomic management and convergence of ICT infrastructures, SDN/NFV technologies, cognitive radio networks, and cloud and Internet of Things solutions. His work addresses critical challenges in spectrum management, network architecture design for beyond 5G systems, and the integration of artificial intelligence into network management frameworks. His research has significant implications for vertical industries including transportation, manufacturing, and smart cities, where reliable high-speed connectivity is essential. Professor Demestichas' publication record demonstrates a consistent focus on next-generation network technologies, with recent work emphasizing 6G architecture, sustainable network design, and industry-specific applications of advanced telecommunications. His research trajectory shows a clear evolution from 5G foundational work toward pioneering 6G concepts, with increasing emphasis on AI integration, sustainability, and cross-industry applications. The collaborative nature of his research is evident through participation in major European projects. Throughout his career, Professor Demestichas has held leadership positions in numerous significant research initiatives including: Project Coordinator of the OneFIT project (2010-2012) Technical Manager of the E3 project (2008-2009) Chairman of WWRF working groups, most notably the WGC "Communication Architectures and Technologies" (2004-2015) Technical Programme Committee Chair for the European Conference on Networks and Communications (EUCNC 2016) Active participation in European research programs including RACE II, ACTS, BRITE/EURAM, EURET, IST/FP5, IST/FP6, and ICT/FP7 As an educator, Professor Demestichas has made substantial contributions to academic development. He has supervised ten completed PhD theses and currently guides three additional doctoral candidates. He teaches Computer Networks I & II at the undergraduate level and has contributed to the development of research capacity through his leadership roles. His laboratory's research activities are partly funded by the European Union under Horizon 2020, reflecting the significance and impact of his work in the international research community. Professor Demestichas leads the Laboratory "Telecommunication Networks and Integrated Services" (http://tns.ds.unipi.gr), which serves as a hub for advanced research in telecommunications. The laboratory focuses on cutting-edge projects related to 5G/6G technologies, network virtualization, and intelligent network management. Through this laboratory, Professor Demestichas fosters collaboration between academia and industry, particularly in the areas of vertical industry applications of advanced networking technologies.
Panos Trahanias is Professor and Vice Chair in the Department of Computer Science at the University of Crete, and heads the Computational Vision and Robotics Laboratory (CVRL) at Foundation for Research and Technology - Hellas (FORTH). His research bridges computational vision, robotics, and embedded systems, with specific focus on humanoid robot navigation, real-time SLAM implementations, and adaptive control systems. Recent investigations include developing climbing quadruped robots, robust grip-lifting mechanisms, and probabilistic contact estimation methods for dynamically challenging terrains. Medical applications feature prominently through neural network approaches for ventilator waveform analysis in critical care settings. Hardware innovation is demonstrated through FPGA-accelerated visual SLAM architectures and reconfigurable embedded systems designed for resource-constrained robotic platforms. His work consistently advances the integration of probabilistic methods, deep learning, and adaptive control in autonomous systems.
Christos Masouros is a Professor of Signal Processing and Wireless Communications at University College London (UCL), affiliated with the Institute for Communications and Connected Systems. He holds a Ph.D. from the University of Manchester (2009) and has held research positions at Philips Research Labs, Queen’s University Belfast, and UCL. His expertise spans wireless communications, signal processing, and integrated sensing and communications (ISAC). Key roles include coordinating the EU-funded PAINLESS (2018–2022) and ISLANDS (2024–2028) projects, which focus on energy-autonomous networks and next-generation vehicular networks, respectively. Education: Diploma in Electrical and Computer Engineering, University of Patras (2004) MSc by Research, University of Manchester (2006) PhD in Electrical and Electronic Engineering, University of Manchester (2009) Research Interests: Green Communications Large-Scale Antenna Systems ISAC (Integrated Sensing and Communications) Interference Mitigation in MIMO and Multicarrier Systems Awards: 2024 IEEE SPS Best Paper Award 2023 IEEE ComSoc Stephen O. Rice Prize Fellow of IEEE, AIIA, and AAIA Leadership Roles: Vice-Chair, IEEE Emerging Technologies Initiative on ISAC Chair, IEEE SPS ISAC Technical Working Group Editorial roles in IEEE Transactions on Wireless Communications, IEEE Open Journal of the Communications Society, and others Labs/Teams: Active in UCL’s Information and Communication Engineering Research Group, contributing to standards development via IEEE and ETSI working groups.
Professor Angeliki Alexiou is a faculty member at the Department of Digital Systems, ICT School, University of Piraeus. She holds a PhD in Electrical Engineering from Imperial College London (2000) and a Diploma from the National Technical University of Athens (1994). Prior to academia, she worked at Bell Labs (2000–2009), where she contributed to projects like BLAST and FITNESS, earning a Bell Labs President’s Gold Award (2002). She leads the Wireless World Research Forum’s Radio Communication Technologies and High Frequencies groups. Her research focuses on 6G systems, MIMO, mmWave/THz communication, ultra-dense networks, RIS technologies, and machine learning applications. She coordinates EU projects like H2020 TERRANOVA and manages ARIADNE. Recent work emphasizes beamforming innovations, RIS-driven networks, and THz security challenges. Education: PhD in Electrical Engineering, Imperial College London, 2000 Electrical & Computer Engineering Diploma, NTUA, 1994 Affiliations: IEEE Member Technical Chamber of Greece Publications span 20+ years with over 100 articles on THz systems, RIS performance, and 6G architectures. Her work bridges theoretical models and practical implementations in high-frequency wireless communication.
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.
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.
Iasonas Kouveliotis-Lysikatos is an Assistant Professor at the Department of Electrical & Computer Engineering of the University of Peloponnese since 2024. He previously worked as a postdoctoral researcher at the Royal Institute of Technology (KTH) in Stockholm (2019-2022) and as a researcher/engineer in industrial companies, focusing on Smart Grids, electromobility, and open-source energy system software development. Education : PhD in Power Systems (NTUA, 2019); BSc in Electrical and Computer Engineering (NTUA, 2013) His research spans distributed smart grid algorithms , multi-agent energy management systems , and blockchain applications in power systems . He has published over 20 papers, developed open-source frameworks like SpineOpt , and modeled intraday electricity markets, energy communities, and decentralized grid control. His recent publications focus on machine learning for electricity price forecasting , multi-energy system optimization , and blockchain platforms for decentralized distribution networks . He has contributed to open-source energy modeling tools and analyzed Nordic power system data and small-scale hydro coordination. He provides office hours at Building Z (1st Floor) on Tuesdays (8:00-9:00) and Wednesdays (09:00-10:00) at the University of Peloponnese. He is actively involved in community research projects funded by national and European bodies.
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.
Adrian Sampson is an Associate Professor in the Department of Computer Science at Cornell University, where he is part of the Computer Systems Laboratory and the programming languages group. He joined Cornell in 2016 as an Assistant Professor and was promoted to Associate Professor in 2022. Prior to Cornell, he was a Visiting Researcher at Microsoft Research (2015-2016). He received his Ph.D. from the University of Washington in 2015 under advisors Luis Ceze and Dan Grossman, with a dissertation on Hardware and Software for Approximate Computing. His research focuses on breaking down abstraction barriers and rethinking the hardware-software interface. He is particularly known for his work on approximate computing, which explores how computers can be more efficient by allowing them to make controlled mistakes. He leads the Capra research group at Cornell, which investigates programming languages and computer architecture. Sampson's recent publications demonstrate a strong focus on hardware acceleration, FPGA programming, compiler design, and programming language theory. His work often bridges the gap between high-level programming abstractions and low-level hardware implementation, with particular attention to predictability, verification, and energy efficiency. He has made significant contributions to geometry types for graphics programming, timeline types for modular hardware design, and virtual machines for FPGA programming. Among his notable recognitions are the IEEE TCCA Young Computer Architect Award (2021), NSF CAREER award (2019), and multiple Distinguished Artifact Awards at major conferences. He has advised numerous Ph.D. students who have gone on to positions at institutions like Wellesley College, Northwestern University, and Amazon. Sampson is actively involved in academic service, serving on program committees for major conferences including PLDI, ASPLOS, and ISCA. He has also held leadership roles such as ACM SIGARCH Board of Directors (2023-2025) and SIGPLAN Information Director. His teaching at Cornell includes courses on computer systems, programming languages, and advanced compilers.
Dr. Zhenman Fang is an Associate Professor in the School of Engineering Science (Computer Engineering Option) and Associate Member in the School of Computing Science at Simon Fraser University, Canada. He founded and directs the HiAccel Lab, focusing on accelerator-rich architectures. His PhD (2014) is from Fudan University, China, with 15 months spent at the University of Minnesota. Prior to SFU, he was a Staff Software Engineer at Xilinx (2017-2019) and a postdoc at UCLA (2014-2017). His research spans: Hardware acceleration for ML, big data, genomics, and HPC FPGA-based customizable computing and near-data processing Compiler/runtime systems for heterogeneous platforms Performance/reliability optimization of accelerator-rich systems His recent publications (2024-2025) focus on FPGA acceleration for machine learning (e.g., on-device training, quantization), computational chemistry, image/video compression, database systems, and reconfigurable computing, demonstrating cross-domain applications of specialized hardware. Awards & Honors: Best Paper Awards: FPL 2024, MEMSYS 2017, TCAD 2019 Best Paper Nominations: ICCAD 2025, FCCM 2025, HPCA 2017, ISPASS 2018 SFU Research Excellence Horizon Award (2025) NSERC Alliance, CFI JELF, and Xilinx University Awards He advises 20+ PhD/Master's students in HiAccel Lab, focusing on accelerator design. Major grants include NSERC Alliance (2020) and CFI JELF (2019). The lab operates a 10-node cluster with FPGA/GPU infrastructure.
Prof. Nikolaos Voros is a Professor at the Department of Computer and Electrical Engineering, University of the Peloponnese. He holds a PhD (2001) and Diploma (1996) in Computer and Informatics Engineering from the University of Patras. He leads the Embedded Systems Laboratory , an official Digital Innovation Hub of the European Commission. His research focuses on embedded/cyber-physical systems, including specification techniques, hardware-software co-design, formal refinement, and IoT platforms. He has coordinated over 30 EU-funded projects, including Horizon 2020 initiatives like ARGO and RADIO. He serves as an associate editor for journals like IEEE Transactions on Nanotechnology and has authored multiple books on system-level design and reconfigurable systems. He directs the Master's program 'Smart ICT Services & Infrastructures' and organizes international conferences like ISVLSI and ARC. Education: Diploma in Computer and Informatics Engineering (1996), University of Patras PhD in Computer and Informatics Engineering (2001), University of Patras Research Interests: Embedded systems, cyber-physical systems, hardware-software co-design, formal methods, IoT, and AI-driven assistive technologies. His work emphasizes safety-critical systems, real-time applications, and EU-funded innovations. Grants & Projects: Scientific coordinator of Horizon 2020 projects ARGO and RADIO. Managed FP7 projects ALMA and ARMOR. Over 30 EU-funded initiatives in embedded systems and cyber-physical systems. Labs & Teams: Leads the Embedded Systems and Applications Design Laboratory , a European Commission-recognized hub for innovation in embedded systems and IoT platforms.
Panagiotis Karkazis serves as Associate Professor in the Department of Computer Engineering at the School of Engineering, University of Western Attica. His academic foundation includes a BSc in Electrical Engineering from the Technological Institute of Piraeus (1999), an MSc in Electronic Communication from Kingston University (2005), and a PhD from the Technical University of Crete (2014) focused on trusted routing protocols in wireless sensor networks. His industry background as an Embedded Systems Software Engineer in telecommunications R&D complements his academic profile. His research spans Embedded Systems, IoT, Cloud Computing, SDN/NFV, and Wireless Sensor Networks, with recent emphasis on 6G networks, Reconfigurable Intelligent Surfaces, and blockchain applications. Key interests include user-centric network design, AI-driven optimization, and industrial IoT implementations. His work bridges theoretical networking with practical applications in cybersecurity, renewable energy education, and Industry 4.0/5.0 systems. Analysis of his recent publications reveals three dominant trends: 1) Next-generation wireless technologies (RIS, 6G) addressing interference and reliability challenges; 2) Meta operating systems (NEMO) and data spaces for distributed computing; 3) Interdisciplinary applications combining blockchain with serious gaming for education and supply chain security. His work consistently integrates AI/ML techniques for network optimization and demonstrates strong European research collaboration. As director of the Industrial Information Systems Lab, Karkazis leads research in industrial IoT, embedded systems, and network virtualization. He has served as principal researcher in numerous National and European projects including 5GTANGO and FASTER, focusing on SDN/NFV, cloud infrastructure, and real-time communications. His lab actively develops solutions for smart factories, cybersecurity in farm-to-fork supply chains, and safety hazard detection in Industry 5.0 environments.
Dionysios Pneumatikatos is a Professor at the School of Electrical and Computer Engineering of the National Technical University of Athens (NTUA) since September 2019. Previously, he served as a Professor and Chair of the Department of Electronic and Computing Engineering at the Technical University of Crete (2000–2019) and is an Associate Researcher at the Foundation for Research and Technology (FORTH) since 1997. His primary affiliations include the Computing Systems Laboratory (CSLab) at NTUA and the Computer Architecture and VLSI Systems (CARV) Laboratory at FORTH. Education: B.Sc. in Computer Science, University of Crete (1989) M.Sc. and Ph.D. in Computer Science, University of Wisconsin–Madison (1991, 1995) Research Interests: Computer Architecture Reconfigurable Computing Hardware Acceleration (e.g., FPGA, RISC-V) Energy-Efficient Systems Reliable System Design Application-Specific Architectures His work focuses on heterogeneous parallel systems , bioinformatics accelerators , and virtualization frameworks for reconfigurable platforms . Recent Projects & Contributions: Coordinator of the FASTER (FP7) project Principal Investigator in EDRA (H2020), EXTRA , and dReDBox Key roles in AXIOM , DeSyRe , and VPLANET These projects explore FPGA-based HPC systems , RISC-V ecosystems , and disaggregated data center architectures . Teaching & Mentorship: Teaches courses on Computer Architecture , Parallel Processing , and Logic Design at NTUA and TU Crete Supervised multiple national/EU projects, fostering interdisciplinary research in embedded and high-performance systems Labs & Networks: Active member of the HiPEAC European Network Program Committee roles at ISCA , FPL , and DATE Led the 21st International Conference on Field-Programmable Logic and Applications (FPL)
