Dionysios Sotiropoulos serves as an Assistant Professor at the Department of Informatics, University of Piraeus, specializing in bio-inspired algorithms with emphasis on social media analysis. His academic career spans multiple prestigious institutions in Greece and internationally. Dr. Sotiropoulos earned his PhD in Computer Science from the University of Piraeus in 2011, following his undergraduate degree in the same field from the same institution in 2003. His doctoral research focused on bio-inspired computing with particular emphasis on machine learning methodologies based on Artificial Immune Systems. His primary research interests encompass Machine Learning, Data Mining, Evolutionary Computation, and Signal Processing, with specific applications in Digital Social Networks. He develops machine learning and pattern recognition algorithms for data mining from social networks, with recent publications focusing on community detection in platforms like Twitter, prediction of future ties, thematic modeling of user posts, sentiment analysis, and computational theory of Opinion Formation Models. Dr. Sotiropoulos has served as a post-doctoral researcher at the Athens University of Economics and Business in the Department of Management Science and Technology, where he is a member of the SocioMine research group. He also held a position as visiting researcher at the Norwich Business School, University of East Anglia, demonstrating his international research collaborations.
Georgios Tsichrintzis serves as a Professor in the Department of Informatics at the University of Piraeus within the School of Information and Communication Technologies. He has held significant administrative positions including Chair of the Department of Informatics from 2016-2020, Deputy Chair from 2008-2012, and Director of multiple graduate programs. With over 23 years of service at the university, he has participated in more than 50 departmental and university committees. His research focuses on Pattern Recognition, Machine Learning, Decision Theory, Statistical Signal Processing and Computational Intelligence, with applications spanning Multimedia Interactive Services, Software User Modeling, Knowledge-based Software Systems, Human-Machine Interaction and Information Retrieval. He has published over 350 research papers in major international journals and conferences, authored six monographs, and edited 30 collective volumes. Tsichrintzis holds leadership positions in academic publishing as editor-in-chief of the International Journal of Computational Intelligence Studies and Intelligent Decision Technologies, while serving on editorial boards of 18 other international journals. He co-founded book series with SPRINGER and co-chairs the steering committee for the annual INFORMATION, INTELLIGENCE, SYSTEMS AND APPLICATIONS conference. His educational background includes a degree in Electrical Engineering from the National Technical University of Athens and advanced degrees from Northeastern University in the USA.
Professor Michael Filippakis is a faculty member of the Department of Digital Systems within the School of Information and Communication Technologies at the University of Piraeus. He has served as a Professor since August 2022 and is also an elected Member of the Board of Directors of the University of Piraeus since October 2022. His educational background includes: PhD from the National Technical University of Athens (NTUA) Bachelor's degree with honors from the Department of Mathematics of the University of Ioannina Master's degree with honors Professor Filippakis specializes in Nonlinear Analysis of Digital Systems with research interests spanning nonlinear problems with partial differential equations, optimization problems, game theory, Machine Learning, Data Mining, Data Science, and image processing. His work bridges theoretical mathematics with practical applications in digital systems and data analysis. With expertise in both theoretical foundations and practical implementation, he has contributed significantly to the application of mathematical methods in digital technologies. He has published over 63 scientific articles in international journals and conference proceedings, receiving more than 430 citations from other researchers worldwide. Additionally, he has authored 14 university textbooks and served as a reviewer for numerous international journals and conferences. As an educator, Professor Filippakis has extensive teaching experience across multiple institutions including the National Technical University of Athens, University of the Peloponnese, University of Thessaly, Panteion University, various Higher Military Academies, and Technological Educational Institutes. He has taught diverse courses ranging from Machine Learning and Data Mining to Mathematical Analysis and Applied Linear Algebra, often incorporating computational tools like MATLAB, Mathematica, Python, and R.
Maria Chalkidi is an Associate Professor at the Department of Digital Systems within the School of Information and Communication Technologies at the University of Piraeus. She contributes significantly to the academic community through her research and teaching in computer science and digital systems. She received her B.A. from the Department of Computer Science of the University of Piraeus in 1997, followed by a Master's Degree in Information Systems and a PhD from the Athens University of Economics and Business (AUEB) in 1999 and 2003, respectively. Dr. Chalkidi's research spans several key areas including Machine Learning Techniques, Knowledge Mining in Distributed Environments (P2P Systems, Sensor Networks), and WWW & Databases with specialization in Web Document Clustering and Web Content Management. Her work integrates cognitive approaches with database technologies to address complex information management challenges. Among her notable achievements is the prestigious Marie Curie Outgoing International Fellowship awarded by the European Commission for 2004-2005, which supported her postdoctoral research at the University of California, Riverside's Department of Computer Science & Engineering. She has actively participated in national and European research programs, working with the DB-NET research group at AUEB. Dr. Chalkidi has served on numerous program committees for International Conferences in Knowledge Mining and Machine Learning, contributing to the advancement of these fields globally.
Athanasios Episkopos is a Professor in the Department of Accounting and Finance at the Athens University of Economics and Business (AUEB). He earned his Ph.D. in Economics from SUNY-Buffalo (1992), M.A. in Economics from SUNY-Buffalo (1989), M.B.A. from Roosevelt University (1987), and B.Sc. in Mathematics from the University of Athens (1983). His academic career spans institutions in the USA and Greece since 1988. Ph.D. in Economics, SUNY-Buffalo, USA (1992) M.A. in Economics, SUNY-Buffalo, USA (1989) M.B.A., Roosevelt University, USA (1987) B.Sc. in Mathematics, University of Athens (1983) His research focuses on corporate finance, particularly contingent claims analysis in banking, with publications in journals like the Journal of Banking and Finance and Economics Letters. Recent work explores ESG risk premia, geopolitical impacts on firm valuation, and neural network applications in financial economics. His articles reveal trends in modeling liquidity risk, sovereign debt dynamics, and computational finance tools. Research Excellence Award, Clarkson University (1995) Teaching Excellence Award, SUNY-Buffalo (1990)
Petros Maragos is a Professor at the National Technical University of Athens (NTUA) in the School of Electrical and Computer Engineering, where he directs the Division of Signals, Control and Robotics. He founded the Computer Vision, Speech Communication & Signal Processing Lab (1999) and the Hellenic Robotics Center of Excellence (2025). His research spans signal processing, computer vision, robotics, and machine learning, with 450+ publications and leadership in 50+ EU/Greek/US projects. Education includes a Dipl.Ing. from NTUA (1980), M.Sc./Ph.D. from Georgia Tech (1982/1985), and faculty positions at Harvard University (1985-1993) and Georgia Tech (1993-1998). Research Focus: Multimodal perception, nonlinear systems, assistive robotics, and deep learning. Recent work integrates tropical geometry with neural networks, robotic healthcare applications, and sign language technologies. Articles emphasize neural architectures, real-world robotics, and AI for social good. Awards: IEEE Fellow (1995), EURASIP Fellow (2010) IEEE W.R.G. Baker Prize (1995) NSF Presidential Young Investigator Award (1987-1992) CVPR/PETRA Best Paper Awards (2022-2025) Advising & Grants: Supervised 30+ PhDs and 130+ Master's students. Secured funding from EU Horizon 2020, NSF, and Greek national programs for projects like i-Walk (robotic mobility) and e-Prevention (mental health monitoring). Labs: Leads NTUA's Intelligent Robotics Lab and co-founded the Robotics Institute at Athena Research Center, focusing on human-robot interaction and perception systems.
Paul P. Sotiriadis is a Professor of Electrical and Computer Engineering at the National Technical University of Athens (NTUA) and Director of the Electronics Laboratory there. He has held faculty positions at Johns Hopkins University and NTUA since 2012, with a research team of 25 members. His academic journey includes a Diploma from NTUA (1994), an M.S. from Stanford University (1996), and a Ph.D. from MIT (2002). Research Interests: Analog and Mixed Signal Circuits, Biomedical Instrumentation, Machine Learning, RF Frequency Synthesis, and Mathematical Modeling of Electronic Systems. Honors & Awards: IEEE Guillemin-Cauer Award, multiple Best Paper Awards, CASS Outstanding Technical Committee Recognition, and inclusion in the global top 2% most influential researchers. Editorial Roles: Associate Editor for IEEE Open Journal of Circuits and Systems (2024-2025) and IEEE Sensors Journal, with prior roles in IEEE Transactions.
Dimitrios Soudris is a Professor at the School of Electrical and Computer Engineering, National Technical University of Athens (NTUA), leading the Microprocessor and Digital Systems Lab (MicroLab). Previously, he served as Lecturer, Assistant, and Associate Professor at Democritus University of Thrace from 1995 to 2008. Diploma in Electrical Engineering (1987), University of Patras PhD in Electrical Engineering (1992), University of Patras His research focuses on Embedded Systems , Reconfigurable Architectures (FPGAs) , Hardware Accelerators for data centers/space/cloud, Edge Computing , and Low Power VLSI Design . Recent publications highlight trends in: AI/ML acceleration for edge and space applications Secure FPGA architectures for 6G networks Energy-efficient heterogeneous memory systems Approximate computing techniques Transformer optimization for low-power contexts Scientific Awards: INTEL and IBM awards (project LPGD #25256) HiPEAC, DAC, and ISCA awards (2010–2024) XILINX Open Hardware Design Contest (2017, 2019, 2021) He has coordinated >70 R&D projects funded by the European Commission, ENIAC-JU, ESA, and industry partners. As Associate Editor of ACM TODAES and conference chair (PATMOS, VLSI-SOC), he contributes to academic leadership. His lab, MicroLab, specializes in hardware-software co-design for emerging computing paradigms.
Giorgos Stamou is a Professor at the School of Electrical and Computer Engineering, National Technical University of Athens (NTUA), and a Visiting Professor at the MIT Sloan School of Management and MIT Open Learning. He directs the Artificial Intelligence and Machine Learning Systems Laboratory (AILS Lab) and has been a senior researcher at the Institute of Communications and Computer Systems (2000-2008) and an academic visitor at Oxford University (2011-2012). His research spans Deep Learning , Explainable AI , and Knowledge Representation , with a focus on Large Language Models and Multimodal Learning . He has coordinated over 60 funded projects and published 150+ papers. Recent work highlights trends in LLM Evaluation , Gender Bias Mitigation , and Multimodal Music Analysis , reflecting his interdisciplinary approach to AI challenges. Stamou has served on steering committees for W3C working groups (Rule Interchange Format, Web Ontology Language) and contributed to cultural heritage metadata enrichment through the CrowdHeritage projects. He founded NTUA's MSc program in Data Science and Machine Learning (2018-2022) and has organized conference tracks on riddle-solving frameworks and hallucination detection.
Stergios Hadjikyriakidis is a Professor of Computational Linguistics at the Department of Philology, University of Crete. He holds a BA in Greek Philology (Linguistics specialization) from Aristotle University of Thessaloniki, an MSc in Computational Linguistics and Formal Grammar from King's College London, and a PhD in Linguistics from the same institution. He has held academic positions at Royal Holloway (University of London), CNRS (France), Open University of Cyprus, and University of Gothenburg. Research interests include: Natural Language Inference Dialogue Modeling Retrieval-Augmented Generation (RAG) Semantic Parsing Sentiment Analysis Metaphor Detection Interactive Theorem Proving for Natural Language Semantics Computational Dialectology Constructive Type-Theoretical Semantics Probabilistic Semantics Developing language resources for under-resourced languages Interaction between symbolic logic-based approaches and neural methods His work bridges theoretical linguistics and machine learning, focusing on probabilistic NLP implementations and cross-disciplinary methodological synthesis. Literary work : 4 novels in Greek: Grover , Skalomenoi se ena bar , Mēn milās, den eīnai aparemphaton , and an unnamed fourth 2 short story collections: one in English and one in Greek (e.g., Bats'niēs: Pyknes kart-postal apo ta Valkania )
Georgios Arapatzis is an Assistant Professor at the University of Crete , affiliated with the School of Applied Mathematics . His research focuses on Bayesian Statistics, Machine Learning for Dynamical Systems, and Computational Mathematics. Education : PhD in Mathematics (2014), University of Crete
Marinos Vassilis serves as an Associate Professor in the Department of Geotechnical Engineering within the School of Civil Engineering at the National Technical University of Athens (NTUA). Based at the Foundations Laboratory in Zografou, Athens, his work bridges geotechnical engineering, rock mechanics, and engineering geology, with a focus on practical applications in tunneling, landslide risk mitigation, and cultural heritage preservation. His research interests encompass the utilization of UAVs, LiDAR, and virtual reality for advanced geological mapping and hazard assessment. Notable projects include stability evaluations of cultural heritage sites such as the Acropolis of Athens and Greek monasteries, alongside innovative methodologies for rock mass characterization and slope stability analysis in challenging terrains. Recent publications (2023-2025) highlight a trend toward integrating remote sensing and machine learning for geohazard management, particularly in cultural heritage contexts. His contributions to conference proceedings emphasize engineering geology's role in sustainable development, including megacity planning and preservation of historical structures. Associated with the Foundations Laboratory at NTUA, his research environment supports experimental and field studies in geomechanics, facilitating the development of practical solutions for rock and soil engineering challenges.
Vissarion Papadopoulos is a Professor in the Department of Structural Engineering at the School of Civil Engineering, National Technical University of Athens (NTUA). His office is located at the Statics and Aseismic Research Laboratory, with contact details including email vpapado@central.ntua.gr and phone 210 772 4158. He has maintained an active research profile since at least 2016, focusing on advanced computational methods in structural engineering. His primary research domains include: Structural Engineering and Computational Mechanics Stochastic Analysis and Uncertainty Quantification Multiscale Modeling of Composite Materials Machine Learning for Engineering Simulations Optimization of Structural Systems Thermomechanical Behavior of Advanced Materials Analysis of his recent publications reveals a decisive shift toward integrating deep learning frameworks with traditional computational mechanics. His work demonstrates consistent innovation in accelerating solutions for parametric and transient structural problems through transformer networks, Bayesian inference, and physics-informed neural networks. Key application areas include carbon nanotube reinforced composites, sustainable automotive design, and seismic-resistant structures, with emphasis on enhancing computational efficiency while maintaining accuracy. He is affiliated with NTUA's Statics and Aseismic Research Laboratory, which specializes in structural dynamics, earthquake engineering, and advanced computational methodologies for civil infrastructure analysis and design.
Rachid Guerraoui is a Moroccan-Swiss computer scientist and Full Professor in the School of Computer and Communication Sciences at EPFL. He is renowned for his significant contributions to distributed and concurrent computing, holding the prestigious Chair in Distributed Computing at the Collège de France (2018-19). As an ACM Fellow (2012) and recipient of the Dahl-Nygaard Senior Prize (2024), his work has shaped both theoretical foundations and practical implementations in distributed systems. Guerraoui earned simultaneous Master's degrees in Computer Engineering from École supérieure d'informatique électronique automatique (ESIEA) and in Computer Science from Pierre and Marie Curie University in 1989. He completed his PhD at Université d'Orsay in 1992 under the supervision of Christian Fluhr, with a dissertation titled "Programmation Répartie par Objets: Études et Propositions." Following postdoctoral research at EPFL, he joined the computer science faculty in 1999 after working at HP Labs and MIT. Guerraoui's research spans distributed computing, concurrent systems, transactional memory, and asynchronous algorithms. His work on establishing theoretical foundations of Transactional Memory, including the concept of opacity, has been highly influential. He has also made significant contributions to scalable information dissemination methods, asynchronous distributed computations, and the mathematical abstraction of indulgence. His research bridges theoretical rigor with practical implementations, as evidenced by systems like SwissTM and STMBench7. His publication record shows a clear evolution from theoretical foundations to practical implementations and broader applications. Early work focused on fundamental problems like consensus and renaming, while more recent publications address machine learning applications and public understanding of AI. The consistent thread throughout his career is a focus on making distributed systems more reliable, efficient, and accessible. Guerraoui has received numerous prestigious awards including: ACM Fellow (2012) ERC Advanced Grant Award (2013) Google Focused Award (2014) Middleware Best Paper Award (2014) Middleware 10-Years Best Paper Award Chair in Distributed Computing, Collège de France (2018-19) Dahl-Nygaard Senior Prize (2024) As an academic advisor, Guerraoui has mentored students including El Mahdi El Mahmdi, with whom he co-created the Wandida project - a collection of educational videos on computer science. His research has been supported by significant grants from the European Research Council and Google. Beyond research, Guerraoui actively participates in public discourse, particularly regarding computer science education and technology policy. Guerraoui leads the Distributed Computing Laboratory (DCL) at EPFL, which focuses on advancing the state of the art in distributed systems. The lab's work spans theoretical foundations, practical implementations, and educational outreach, reflecting Guerraoui's holistic approach to computer science research and education.
Gamas Apostolos is an Associate Professor at the Department of Chemistry, School of Sciences, University of Ioannina, specializing in the field of "Applications of Informatics." His academic journey began with a diploma in Computer and Informatics Engineering from the University of Patras, followed by a Master's Degree and PhD from the same department. Focus areas: Computer Networks, Telematics, Multimedia Transmission, IoT, and Machine Learning/AI Techniques Over 130 publications in international journals and conferences Contributed to three books: Multimedia and Networks, Special Network Issues, and IPv6 His research integrates computer science methodologies with chemical sciences, particularly in informatics applications for physical chemistry. He has actively participated in numerous national and international projects, including IST, FP6, FP7, Interreg, eLearning, PENED, and RESEARCH-CREATE-INNOVATE, advancing interdisciplinary collaboration. Awards and honors are not explicitly mentioned in the provided text. His professional contact includes the email gkamas@uoi.gr and office at Building X3, Office X3-404b.
