Find Academic Supervisors

• High-performance computer architectures
• Cloud-computing systems
• Internet-of-Things (IoT)
• +7 more

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.

• Embedded Systems
• Cyber-physical Systems
• Hardware-Software Co-design
• +4 more

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.

• Optimization Theory
• Traffic Control Systems
• Automated Vehicle Networks
• +3 more

Ioannis Papamichail is a Professor at the Technical University of Crete (TUC), leading the Dynamic Systems and Simulation Laboratory. He holds academic positions since 2004 and has been a Visiting Scholar at UC Berkeley (2010). His expertise spans Mathematical Programming, Optimal Control, and Traffic Systems Optimization . Education : - PhD in Chemical Engineering (2002), Imperial College London - MSc in Process Systems Engineering (1999), Imperial College London - Diploma in Chemical Engineering (1998), National Technical University of Athens Research Interests : Focuses on Nonlinear Programming, Global Optimization, and Optimal Control , applied to traffic and transportation systems. His work addresses challenges in automated vehicle coordination, lane-free traffic systems, ramp metering, and intelligent transportation systems (ITS). Recent trends in his publications emphasize deep reinforcement learning for autonomous driving , microscopic/macroscopic traffic modeling , and multi-agent decision-making algorithms . Key Contributions : Developed lane-free automated traffic control frameworks using LQR and model-free controllers Pioneered vehicle nudging strategies for path planning in complex networks Validated control algorithms via SUMO-based microscopic simulations Awards : 2010 IEEE Transition to Practice Award (Ramp Metering Algorithms) 2014 TRB Best Paper Award (Freeway Operations) 2020 IEEE-ITS Best Paper Award Labs & Teams : Directs the Dynamic Systems and Simulation Laboratory , collaborating on projects like: Autonomous vehicle trajectory optimization Urban traffic signal control with connected vehicle data Macroscopic traffic model calibration

Koutsopoulos IordanisView profile

Professor

• Federated Learning
• Explainable Artificial Intelligence
• Edge Computing
• +3 more

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.

Konstantinos D. BlekasView profile

Professor

• Machine Learning
• Autonomous Agents
• Computer Vision
• +1 more

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 .

Anastasios GounarisView profile

Professor

• Distributed Databases
• Autonomous data processing
• Big Data Management
• +7 more

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.

Ioannis VlahavasView profile

Professor

• Logic Programming
• Knowledge representation and Reasoning
• Automated Planning
• +3 more

Ioannis Vlahavas is a Professor in the School of Informatics at Aristotle University of Thessaloniki since 2003, where he directs the Intelligent Systems Lab. He has held significant leadership roles including Chair of the School of Informatics (2003-2005, 2013-2017) and Dean of the School of Science and Technology at the International Hellenic University (2007-2016). His career spans over three decades with continuous contributions to artificial intelligence research and education. Education: Ph.D. in Computer Science, Aristotle University of Thessaloniki (1988) B.Sc. in Physics, Aristotle University of Thessaloniki (1982) Professor Vlahavas's research focuses on foundational AI areas including Logic Programming, Knowledge Representation and Reasoning, Automated Planning, and Machine Learning. His work bridges theoretical frameworks with practical applications in autonomous systems, healthcare diagnostics, and financial modeling. He has pioneered methodologies in reinforcement learning and multi-agent systems, with particular emphasis on personality emulation in gamified environments and transformer-based architectures for complex real-world problems. His recent publications reveal a strong trajectory toward deep reinforcement learning, transformer optimization, and low-resource language processing. Key application domains include autonomous driving (5 of 15 recent papers), biomedical text mining (particularly drug-drug interaction extraction), and personality modeling in gaming environments. There is notable cross-pollination between finance (portfolio theory applications, cryptocurrency trading) and AI methodology development. Scientific Awards: EurAI Fellow (2017) Professor Vlahavas has mentored numerous graduate students through PhD candidate programs and research projects. His leadership extends to organizing major international conferences including the 24th IEEE International Conference on Tools with AI (2012) and the 9th Hellenic Conference on Artificial Intelligence (2016). He serves on editorial boards and has guest-edited special journal issues on AI applications. He directs the Intelligent Systems Lab at Aristotle University, which operates as a multidisciplinary research hub focusing on machine learning, natural language processing, and intelligent system applications across healthcare, transportation, and finance sectors. The lab maintains strong industry connections including RealMINT, the university spin-off where he serves as CEO.

Dimitrios D. PiromalisView profile

Associate Professor

• Electronic Embedded Systems
• Autonomous Vehicles
• Internet of Things (IoT)
• +7 more

Dimitrios D. Piromalis is an Associate Professor at the University of West Attica , specifically within the Department of Industrial Design and Production Engineering . He leads the Research Lab of Electronic Automation, Telematics and Cyber-Physical Systems (EATCPS) , focusing on electronic embedded systems for applications in autonomous vehicles, IoT, and cyber-physical systems. With over 120 publications and extensive industry collaboration spanning 25 years, his work bridges academic research and practical engineering solutions. Education : BSc, MSc, and PhD in Electrical and Electronics Engineering. Research Focus : Electronic embedded systems, autonomous vehicles, IoT, cyber-physical systems, digital twins, 3D/4D printing, energy management, and smart agriculture. Recent publications highlight trends in TinyML for smart cities, predictive maintenance integration, hybrid energy storage for EVs, and digital twin applications across agriculture and automotive sectors. His work also extends to emergency communication systems, biomedical sensors, and blockchain-enabled energy gateways. Industry Collaboration : Field Application Engineer and Technical Consultant for multinational semiconductor companies. Teaching : Platforms for AI and Python programming, autonomous vehicles and drones.

Partsinevelos PanagiotisView profile

Professor

• Space Informatics
• Geoinformatics
• Satellite Remote Sensing
• +12 more

Professor Partsinevelos Panagiotis is affiliated with the Technical University of Crete's School of Mineral Resources Engineering, where he works in the Mineral Resources Detection and Identification Department. He leads the Laboratory of Geodesy and Geoscience Informatics (SenseLab) and teaches courses including Geographic Information Systems, Technical Geodesy, and Environmental Remote Sensing. His office is located in rooms M3.305 and M1.212, with contact number +30 28210 37628. Research Focus Space Informatics Unmanned Systems (drones, airborne, ground, and sea applications) Machine Learning and Neural Networks Geometric Documentation of Monuments Smart Cities and Precision Agriculture His recent publications demonstrate expertise in UAV-based spatial analysis, environmental monitoring, and geoinformatics applications. Research projects include EU-funded initiatives like 'Space Innovation Analysis' and 'AID4PV PV Plant Diagnosis', alongside national projects such as 'SandMap' and 'Drones 2 GNSS.' Notable Projects Partner PI in EU-funded 'Space Innovation Analysis' (2023) Co-PI in 'AID4PV' UAV-based PV diagnostics (2021-present) Coordinator of 'SandMap' (2020-present) PI for 'UAV Precision Measurements' (2018-2023) Coordinator of Crete-GIS architecture (2017-2019) Leader in ERANETMED 'DESiRES' project Professor Partsinevelos contributes to geospatial innovation through field robotics, satellite technologies, and data science applications, with emphasis on environmental and urban challenges.

• Network Security
• Internet of Things (IoT)
• Artificial Intelligence in Networking
• +5 more

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.

Dimakis AntonisView profile

Assistant Professor

• Queueing Theory
• Applied Probability
• Network Optimization
• +2 more

Antonis Dimakis is an Assistant Professor in the Department of Informatics at Athens University of Economics and Business. He holds a B.Sc. and M.Sc. in Computer Science from the University of Crete, and a Ph.D. in Electrical Engineering and Computer Sciences from UC Berkeley. Research Focus: His work centers on stochastic modeling and optimization of networked systems, with specific interests in: Queueing theory and applied probability Optimal control strategies for network congestion Internet protocol design for efficient data transmission Game-theoretic approaches to resource allocation Publication Trends: Recent publications demonstrate strong focus on transportation networks and cloud computing, employing advanced mathematical frameworks like mean field games to model complex system behaviors under uncertainty. Laboratory & Advising: Leads research initiatives in network optimization and advises graduate students in stochastic modeling applications.

Georgios Th. PapadopoulosView profile

Assistant Professor

• Computer Vision
• Machine Learning
• Deep Learning
• +7 more

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

Ioannis PratikakisView profile

Professor

• Computer Vision
• 3D Image Processing
• Document Image Analysis
• +3 more

Ioannis Pratikakis serves as a Professor in the Department of Electrical and Computer Engineering at Democritus University of Thrace (DUTH), where he has held a faculty position since 2010. Previously, he worked as a collaborating researcher at the Institute of Informatics and Telecommunications of NCSR 'Demokritos' (2003-2010) and completed postdoctoral research at IRISA/INRIA in Rennes, France until 2000. His academic background includes a PhD in digital 3D image processing and analysis from the Vrije Universiteit Brussel (Belgium), awarded in January 1999. Pratikakis's research spans computer vision, 3D image processing, and document analysis, with core expertise in 2D/3D image sequence analysis, pattern recognition, and multimedia information retrieval. His work bridges theoretical computer vision with practical applications in cultural heritage preservation, medical imaging, and human-computer interaction. Analysis of his publication trends reveals sustained innovation in 3D vision systems, particularly in human action recognition from mesh sequences, facial expression analysis, and unsupervised methods for historical document processing. Recent work increasingly integrates deep learning for medical diagnostics while maintaining strong contributions to cultural heritage digitization. He actively leads research through major projects including μtS (historical manuscript transcription), READ (archival document enrichment), and TRANSCRIPTORIUM (handwritten document recognition), alongside European initiatives like H2020-EINFRA-9-2015 and FP7-ICT frameworks. Pratikakis directs research activities within DUTH's Electrical Circuits, Signal and Image Processing Laboratory, mentoring students through undergraduate courses (Computer Vision, Computer Graphics) and postgraduate instruction (Digital Video Editing, 3D Graphics). His professional engagement includes senior IEEE membership, Technical Chamber of Greece affiliation, and leadership in the Hellenic Society for Artificial Intelligence (2010-2014).

Nelly LeligouView profile

Professor

• Blockchain Technologies
• IoT Enabled Systems
• Artificial Intelligence
• +7 more

Helen C. (Nelly) Leligou is a Professor and Vice-Director at the Department of Industrial Design and Production Engineering, University of West Attica. She also serves as a Visiting Professor at the Hellenic Open University. Her research focuses on Information and Communication Technologies, including blockchain, IoT systems, AI applications in maritime sectors, federated learning, and wireless sensor networks. She has contributed over 150 publications in journals and conferences and participated in EU-funded projects like ACTS, IST, ICT, and H2020. Dr. Leligou has evaluated proposals for EU and other European organizations, emphasizing cybersecurity, smart grids, and innovative educational tools. Her research interests span blockchain applications in networks and supply chains, IoT-enabled systems for energy efficiency and agri-food supply chains, and AI-driven solutions for maritime operational parameters. She teaches undergraduate courses in Internet technologies, cloud computing, and data security, along with postgraduate modules in artificial intelligence, computer architecture, and automation. Dr. Leligou's work integrates technology with societal challenges, such as sustainable energy and digital transformation. Her recent projects address blockchain in next-generation networks (NGNs), AI for 6G reliability, and serious games for renewable energy education. She advocates for transparent workplace compliance via blockchain platforms and explores federated learning security in distributed systems. Dr. Leligou's contributions bridge academia and industry, emphasizing real-world applications of cutting-edge technologies.

• Smart Textiles
• Medical Technologies
• Military Materials
• +7 more

Georgios Priniotakis is a Full Professor and Head of the Department of Industrial Design and Production Engineering at the University of West Attica in Athens, Greece. He holds a PhD in Textiles Sensors (2005) from Ghent University and a Master's in Fiber Science and Technology from the University of Leeds (1992). His research focuses on smart textiles for medical and military applications, wearable computing, sustainable materials, and industrial production optimization. He leads the lab of Innovative Textile Technologies for Multifunctional Garments and has coordinated numerous EU-funded projects, including TexModa and Smartex. Dr. Priniotakis is an active member of international organizations like AUTEX and COST Action CA17107, and has authored over 350 publications with an H-index of 12 (Google Scholar). His teaching spans courses like Wearable and Affective Computing and Artificial Intelligence , emphasizing sustainability and interdisciplinary collaboration. Education: PhD in Conductive Textiles (Ghent University, 2005) MSc in Fiber Science & Technology (University of Leeds, 1992) Key Roles: National Representative of Greece to EU Research Boards Scientific Director of EU Projects (e.g., Leonardo, Erasmus+, COST) Research interests include electroconductive textiles for medical diagnostics, environmental durability of composite materials, and upcycling industrial waste into functional textiles. His work bridges academia and industry via co-creation methodologies and digital tools for sustainable design. He chairs the AITAE conference and serves as a reviewer for multiple journals. Grants & Projects: Over 20 years of EU-funded projects, including roles as coordinator for TexModa (textile innovation), Texstra (sustainable logistics), and Difme (digital fashion). His labs develop smart garments for emergency response, healthcare monitoring, and ergonomic workplace solutions. Labs & Teams: Leads the Innovative Textile Technologies lab focusing on multifunctional garments, wearable sensors, and eco-friendly production. Collaborates internationally on circular economy initiatives for fibrous composites and technical textiles.