Koumbarakis Manolis is a Professor at the Department of Informatics and Telecommunications, National and Kapodistrian University of Athens, serving since April 2011. His prior positions include Associate Professor at the same university (2005–2011), Assistant/Associate Professor at the Technical University of Crete (1999–2005), Lecturer at the University of Manchester (1995–1998), and Research Associate at Imperial College London (1993–1995). Education: PhD in Computer Science (1994), National and Kapodistrian University of Athens MSc in Computer Science (1988), University of Toronto BA in Mathematics (1986), University of Crete Research Interests: His work spans artificial intelligence (knowledge representation, reasoning, constraint satisfaction), distributed systems (P2P networks, cloud computing), web technologies (semantic web, information retrieval, web services), and databases (temporal, spatial, and constraint databases). Teaching: He instructs courses including Artificial Intelligence I, Artificial Intelligence II (focused on Deep Machine Learning for NLP), and Data Structures and Programming Techniques.
Diomidis Spinellis is a Professor at the Department of Management Science and Technology, Athens University of Economics and Business. He is a leading researcher in software engineering, IT security, and cloud systems engineering, with over 300 publications and 10,000 citations. He has authored award-winning books including Code Reading , Code Quality: The Open Source Perspective , and Effective Debugging: 66 Specific Ways to Debug Software and Systems (2016). As a Senior Member of ACM and IEEE, he served as Editor-in-Chief of IEEE Software (2015–2018) and contributed to open-source tools like CScout, UMLGraph, and dgsh. Award-winning author in software engineering Developer of critical open-source tools Editorial leadership in IEEE Software Contributor to macOS and BSD Unix His research spans code quality, software evolution, security, and developer productivity. Articles highlight Unix modernization, AI-assisted coding, dependency analysis, and incident management. He has served on the IEEE Computer Society Board of Governors and holds degrees from Imperial College London (MEng, PhD). Scientific contributions include open-source datasets (e.g., VulinOSS, Alexandria3k) and innovative tools for software analysis. His work bridges academic research and industrial practice, with case studies on Eclipse, Android APIs, and ING’s incident management.
Panagiotis Liakos is a Researcher at the University of Athens (Department of Informatics and Telecommunications), specializing in graph mining for large-scale networks. He holds a Ph.D. in Distributed and Streaming Graph Processing (2015-2018), an M.Sc. in Computer Systems Technology (2008-2011), and a Ptychion in Informatics and Telecommunications (2004-2008), all from the University of Athens. His research focuses on developing scalable algorithms for graph processing, compression, and community detection in dynamic networks. Research interests include: Graph mining : Community detection, temporal graph analysis Large-scale systems : Distributed processing, cloud-based solutions Data optimization : Lossless compression, storage efficiency Stream processing : Real-time network analysis, dynamic algorithms His publications demonstrate strong focus on graph algorithms and data efficiency, with recent work on time-series compression (Chimp, Sim-Piece) and temporal graph processing. He has received multiple awards including: IEEE Big Data Travel Grants (2016, 2017) SIGIR Travel Grant (2016) WSDM Data Challenge 1st Place (2013) Greek State Scholarship (2006-2007) He has supervised 9 Master's students on topics spanning recommendation systems, MongoDB optimization, sports analytics, and traffic modeling. Contributed to European projects including GALENA, Interact, EarthServer, iMarine, and PERNASVIP. Leads the Hive Server project for distributed services and teaches Large Scale Data Management .
Antony Chazapis is a postdoctoral researcher at the Computer Architecture and VLSI Systems Lab (CARV), Institute of Computer Science, Foundation for Research and Technology - Hellas (FORTH-ICS), and a visiting instructor at the Computer Science Department, University of Crete. He holds a PhD from the National Technical University of Athens (2009) and has extensive experience in both industry and academia, focusing on distributed systems, cloud computing, and high-performance computing (HPC). His research interests span Cloud-Native Architectures , Kubernetes , Containerization , Microservices , DevOps , MLOps , and AI/ML acceleration . He actively works on integrating cloud technologies with HPC, aiming to build next-generation European supercomputing and cloud infrastructures. The most recent publications highlight a strong trend in Kubernetes-HPC convergence , cloud-native workflows , and containerized HPC environments . His work explores orchestration, isolation, performance optimization, and runtime frameworks for heterogeneous accelerators, indicating deep engagement in modern distributed system design. He teaches the postgraduate course CS-548: Cloud-native Software Architectures , covering containerization, microservices, serverless computing, and advanced Kubernetes internals. Students engage in hands-on exercises and projects related to scaling, CI/CD, and cloud service integration. Antony Chazapis contributes to European research initiatives focused on unifying cloud and HPC technologies. He is also a creator and contributor to various open-source projects, demonstrating strong community engagement and practical software development skills.
D. Tsoumakos is an Associate Professor of Big Data Management Systems at the School of Electrical and Computer Engineering, National Technical University of Athens (NTUA). He serves as Director of the Knowledge and Database Systems Laboratory (DBLab) and holds a Ph.D. and M.Sc. in Computer Sciences from the University of Maryland (2006, 2002), with a Diploma in Electrical and Computer Engineering from NTUA (1999). Research Interests: Large-scale distributed systems, Big Data management, algorithmic optimization, cloud computing elasticity, resource scheduling. Funded Projects: RELAX (2023-2027), HiDALGO2 (2023-2026), DAPHNE (2021-2024), HiDALGO (2018-2021), TraMOOC (2015-2018), ASAP (2014-2017), CELAR (2012-2015), ARCOMEM (2010-2013), GREDIA (2006-2009). Teaching: Databases (NTUA, 2022-2024), Advanced Topics in Databases (2021-2023), Big Data Management (2014-2020, Ionian University), Cloud Computing (2018-2021). Publication Trends: Recent work focuses on vector embeddings for analytics modeling, multi-engine distributed systems, cloud elasticity, graph analytics optimization, and error-driven data synopses. Keywords reflect expertise in Big Data, Machine Learning, Cloud Computing, and Distributed Systems. Best Paper Runner Up Award at SSDBM 2019 Best Paper Award at CCGrid 2013 Research Projects & Tools: Developed systems like ARMADA (Analytics Performance), AURA (Cloud Deployment), IReS Platform (Resource Scheduling), MuSQLE (SQL Execution), H2RDF+ (RDF Data Management), and TIRAMOLA (Elastic NoSQL).
Kazasis Fotis is a Researcher at the Technical University of Crete , affiliated with the School of Electronic & Computer Engineering and the Department of Electronics and Computer Engineering . He has been a member of the Academic Council since October 2020 and contributes to the Distributed Information Systems and Applications Laboratory (MUSIC) . Education : Masters in Computer Engineering (2011, Technical University of Crete), Diploma in Computer Engineering and Informatics (1990, University of Patras) His research interests include Multimedia Information Systems , Database Technologies , Office Automation , and Information Retrieval Systems , with a focus on Informatics and distributed systems. His publications (1995–2011) highlight work on service-oriented architectures (e.g., TV-Anytime metadata handling), mobile computing (TV-Anytime information management), ontologies (semantic indexing for multimedia), and peer-to-peer/SOA infrastructures for knowledge management. Recent articles (2011) address event visualization on Google Earth, while earlier works (2003–2007) tackle semantic query languages and intelligent tourism applications. He has coordinated research programs funded by the European Union and Greece since 1990, emphasizing practical implementations in digital ecosystems and TV services. His teaching includes Introduction to Computers and Informatics and Databases at TUC.
Panagiotis Katsaros is a Professor at the Department of Informatics, Aristotle University of Thessaloniki. His research focuses on Formal Methods, Software Dependability & Security, and Internet of Things (IoT) systems. 1992: Dipl. in Mathematics, Aristotle University 1993: M.Sc in Software Engineering, Aston University 2002: PhD in Informatics, Aristotle University His work integrates model-based design with probabilistic verification to address challenges in embedded systems , IoT , and cloud environments . He has pioneered methodologies for correctness-by-construction and security-aware elasticity in distributed systems. Recent publications (2015-2019) highlight trends in multi-core embedded systems , probabilistic model checking , and logical error detection . His research bridges formal verification with practical system design . Scientific Recognition Best Paper Award at 17th Panhellenic Conference on Informatics (2013) Best Paper Award at 15th Panhellenic Conference on Informatics (2011) He has supervised PhD students Stylianos Basagiannis and Anakreon Mentis , and contributes to the Dependability & Security Group (DSG A.U.Th) . His work impacts spacecraft design , cloud security , and transaction processing systems .
Katia Papakonstantinopoulou serves as a Teaching Professor and Researcher in the Department of Informatics at Athens University of Economics & Business (AUEB). She is an active member of the network analysis group and the Theory, Economics and Systems Laboratory (Main Building, Antoniadou wing, 4th floor), and contributes to the 5G-VINNI research project. Her academic credentials include: B.S. in Informatics and Telecommunications (University of Athens) M.Sc. in Advanced Information Systems (University of Athens) Ph.D. in Computer Science (University of Athens, supervised by Prof. Elias Koutsoupias) Her research integrates Game Theory for modeling selfish network behavior and Information Theory for compact network representations. Current work spans social network analysis, epidemic spread prediction using graph ML, and time series/graph compression techniques. She has significantly advanced lossless floating-point compression (CHimp/Chimp systems) and temporal graph compression. Recent publications (2022-2024) reveal strong focus on data compression efficiency for time-series databases and epidemic modeling, while earlier work (2016-2020) established foundations in community detection and distributed graph processing. Her research consistently bridges theoretical algorithms with practical network applications. Her scientific recognition includes: Doctoral Scholarship from the Greek State Scholarships Foundation She mentors students through research projects in algorithms and network analysis, particularly in the Master of Science in Data Science program (ranked 14th globally in Big Data Management by Eduniversal 2019). Her teaching portfolio includes graduate courses in Social Network Analysis and Algorithms, plus undergraduate instruction in core CS subjects. Her research operations center on the Theory, Economics and Systems Laboratory where she develops compression algorithms and network models, with recent work supporting 5G network slicing economics through the 5G-VINNI project.
Yannis Kotidis is a Professor at the Department of Informatics of the Athens University of Economics and Business (AUEB). He holds a Diploma in Electrical Engineering and Computer Science from the National Technical University of Athens (1995), and an M.Sc. (1997) and Ph.D. (2000) in Computer Science from the University of Maryland. Prior to joining AUEB, he worked as a Senior Technical Specialist at AT&T Labs-Research (1995–2006). Research Interests: Data Management, Sensor Networks, Complex Event Processing, Blockchain Technology, Time Series Analysis, and Distributed Systems. Projects: Led initiatives like DBSENSE (sensor network data management), RECOST (real-time stream processing), and INFORE (cross-platform analytics). Collaborated on Smart-Views (blockchain-based OLAP systems) and EasyFlinkCEP (streaming analytics). Recent publications focus on HPC resource allocation (RATS), time-series compression (Chimp/Sim-Piece), and decentralized data management using blockchain. His work emphasizes scalable solutions for big data challenges in distributed and sensor environments. Collaborations include teams at Siemens and Statoil, and academic partnerships addressing semantic data integration. He contributes to open-source tools like FlinkCEP, enhancing accessibility of big data analytics.
Vasilis Tampakas is a Professor at the Department of Electrical and Computer Engineering, University of Peloponnese. He directs the DISyD Research Lab (Distributed Intelligent Systems and Data). His work focuses on distributed systems, machine learning, big data analytics, and parallel information retrieval. With over 30 years of professional experience, he has published over 100 papers (1,500+ citations) and authored 3 Greek textbooks. He teaches undergraduate courses on operating systems and distributed systems, as well as postgraduate courses on big data management and data mining. His research has involved numerous national and EU projects. Education includes a PhD from the Department of Computer Engineering and Informatics at the University of Patras. Administrative roles include Department President, Dean, and Vice President of the Technical University of Patras (2005–2008). Office location: Building H, Office H2.01. Research Interests : Distributed Algorithms and Systems Data Mining and Machine Learning Big Data Analytics Parallel and Distributed Information Retrieval Labs/Teams : DISyD Research Lab (focus on distributed intelligent systems and data management).
Panagiotis Tsanakas is a Professor of Computer Engineering at the National Technical University of Athens (NTUA), serving as Dean of the School of Electrical and Computer Engineering. He holds a PhD in Computer Engineering from NTUA (1988) and has extensive academic experience in parallel computing, medical informatics, and IoT applications. His work includes co-authoring seven textbooks on computer systems and supervising eight doctoral dissertations. Prof. Tsanakas has led major national and EU projects like EuroHPC and GRNET, managing Greece's academic networks and supercomputing infrastructure (ARIS). He pioneered systems like Eudoxus (textbook distribution), ZEUS (secure e-voting), and DIAVLOS (webcasting). His professional roles include Board membership of EuroHPC and leadership in GRNET, contributing to €60M annual savings through tech optimization. Research focuses on high-performance architectures, cloud systems, and AI in healthcare. He has published over 100 papers and actively teaches courses like Digital Health Technologies and Computer Architecture. His projects emphasize medical informatics, telemedicine platforms, and IoT-enabled health monitoring.
Professor Michalis Vazirgiannis is affiliated with the Informatics Department at Athens University of Economics and Business (AUEB). He holds a PhD in Informatics from the National and Kapodistrian University of Athens (1994), with prior degrees in Physics, Robotics, and Knowledge-Based Systems. His research focuses on data mining, machine learning, clustering algorithms, and web mining. He has led EU-funded projects like SQO-OSS and NGWeMiS, and contributed to initiatives like DB-GLOBE and I-KnowUMine. Awards include ERCIM Post-Doctoral Scholarship (2001) and Marie Curie Fellowship (2006). He serves on editorial boards (e.g., IDA Journal) and program committees for conferences like IEEE/ICDM and ECML/PKDD. His work spans theoretical advancements and practical applications in distributed systems, semantic networks, and temporal graph analysis. Education: BSc Physics, NKUA (1986) MSc Robotics, NKUA (1988) MSc Knowledge-Based Systems, Heriot-Watt University (1989) PhD Informatics, NKUA (1994) Research interests include semi-supervised learning, page ranking, and distributed feature selection. His publications address clustering frameworks, peer-to-peer systems, and normalized PageRank for evolving graphs. He has contributed to patents and held visiting researcher positions at INRIA, Fraunhofer, Max Planck, and IBM India.
Professor Euripides G.M. Petrakis serves as a Professor and Laboratory Director at the Technical University of Crete (TUC) within the School of Electrical and Computer Engineering. He has been a faculty member since 1999 and has directed the Intelligent Systems Laboratory since 2006. As a Senior Member of IEEE, he maintains an active research profile with over 175 publications and more than 4,000 Google Scholar citations. Education: Ph.D. in Computer Science (1993), University of Crete B.Sc. in Physics (1985), National University of Athens Professor Petrakis' research spans Cloud Computing, Internet of Things, Semantic Web, and Computer Vision. His work has evolved from early computer vision and image databases to modern information systems, semantic web technologies, and most recently cloud computing and IoT applications. His research demonstrates consistent innovation across multiple computing domains with practical implementations in healthcare, security, and smart systems. His recent publications reveal a strong focus on IoT architectures, cloud/fog computing optimization, semantic service descriptions, and real-time video processing with Apache Flink. The research shows increasing integration of blockchain for security, advanced scheduling algorithms for microservices, and semantic approaches to improve interoperability in distributed systems. Scientific Recognition: Best paper award at AINA 2024 TUC Excellence Award 2022 Keynote speaker at EIDWT-2025 Ranked in top 2% of scientists worldwide (Stanford rankings 2021-2023) Professor Petrakis has supervised numerous graduate students, resulting in over 120 co-authored papers. He has successfully secured substantial research funding, attracting more than 2.5 million euros for TUC through multiple EU and Greek government projects. His grant portfolio includes leadership roles in Horizon 2020, FP7, and national research initiatives spanning border surveillance, smart farming, healthcare systems, and semantic web technologies. As Director of the Intelligent Systems Laboratory, he leads research in cloud computing, IoT, semantic web, and computer vision. The lab has produced multiple system prototypes including IntelliSearch, Semantic Similarity tools, MedSearch, and WebSummarization systems. Current research directions focus on secure federated architectures for IoT, advanced service description frameworks, and real-time video analytics in distributed environments.
Panagiotis Rizomiliotis is an Assistant Professor at the Harokopio University of Athens and a Security Researcher with a focus on Cryptography . He also serves as a Member of the Plenary at the Hellenic Authority for Communication Security and Privacy . Education: BSc in Informatics and Telecommunications (1997) from the University of Athens, Greece, with 8.55/10 (Honours) MSc in Electronics and Radioelectrology (1999) from the University of Athens, with 8.05/10 PhD in Cryptography (2005) from the University of Athens, with 10/10 (Honours) Research Interests include cryptography, IoT security, cloud security, database security, and privacy protection. He has contributed to lightweight authentication protocols, hardware-driven security, GDPR compliance, and secure outsourcing of databases. Notable Article Trends show expertise in cryptographic protocols for cloud and IoT environments, security analysis of RFID systems, and mathematical foundations of Boolean functions. His work spans searchable encryption, oblivious RAM, chaos-based optical cryptography, and algebraic immunity. Service Roles include committee/reviewer positions for scientific journals and conferences like ACM CCSW, IEEE GlobeCom, and ACNS. He has also served as an advisor to the Ministry of Administrative Reform and E-Governance of Greece .
Dr. C. Mohan is a Distinguished Visiting Professor at Tsinghua University (China) , a Consultant to Microsoft's Data Team (USA) , and an Advisor to the Tamil Nadu e-Governance Agency and Kerala Blockchain Academy (India) . He retired from IBM in 2020 as an IBM Fellow, where he spent 38.5 years in research across databases, blockchain, AI, and related fields. His notable contributions include the ARIES family of algorithms for database systems and the Presumed Abort distributed commit protocol. Academically, he served as IBM India Chief Scientist (2006–2009) and held the Shaw Visiting Professorship at the National University of Singapore (2021) . He is a Fellow of IBM, ACM, and IEEE, and was elected to both the US and Indian National Academies of Engineering. His research focuses on AI, blockchain, big data, and HTAP technologies. Dr. Mohan has received numerous awards, including the ACM SIGMOD Innovations Award and VLDB Best Paper Award. He holds 50 patents and is an active speaker, having presented in 43 countries. He maintains a strong social media presence and advocates for permissioned blockchain technologies.
