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Konstantinos TsagarakisView profile

Professor

• Circular Economy
• Sustainability
• Environmental Economics
• +5 more

Konstantinos Tsagarakis is a Professor of 'Economics of Environmental Science and Technology' at the Department of Production Engineering and Management, Technical University of Crete. His work focuses on circular economy, sustainability, and environmental economics. He serves as Specialty Chief Editor in Frontiers in Sustainability , and holds editorial roles in Water Policy , Healthcare Analytics Journals , and others. Education: PhD in Public Health (University of Leeds, 1999), BS in Economics (University of Crete, 2002), Diploma in Civil Engineering (Democritus University of Thrace, 1995). Research interests include circular economy implementation, sustainable development, energy economics, and big data applications. He has published over 100 papers in refereed journals. Recent work explores LinkedIn data for analyzing sustainability trends, policy compliance, and industry practices. Key contributions include frameworks for evaluating corporate sustainability performance, environmental policy analysis, and integrating technology (e.g., AI, cloud computing) into sustainability strategies. He has edited special issues on circular economy, renewable energy, and smart manufacturing in journals like Renewable Energy and Big Data and Cognitive Computing . No specific grants or awards are listed, though his editorial roles and prolific publication record highlight significant academic influence. Labs/Teams: Active in the Department of Production Engineering and Management’s sustainability research groups, focusing on interdisciplinary projects linking economics, technology, and environmental policy.

Zafeiria RoumeliotiView profile

Assistant Professor

• Seismology
• Geophysics
• Earthquake Source Mechanics
• +3 more

Zafeiria Roumelioti is an Assistant Professor at the Department of Geology, University of Patras. Her research focuses on seismology, geophysics, and earthquake engineering, with a strong emphasis on earthquake source mechanics, ground motion simulation, and seismic hazard assessment. She leads projects such as ARGONET and PROION, involving advanced geophysical instrumentation and multidisciplinary monitoring networks. Education: BSc in Geology MSc in Geophysics PhD in Seismology from Aristotle University of Thessaloniki Research Interests: Kinematic modeling of earthquake sources Site effect studies using vertical arrays Strong ground motion simulation (deterministic/stochastic) Real-time earthquake monitoring systems Nonlinear soil response during seismic events Regional seismicity and tectonic dynamics Her work integrates geophysical data from accelerometers, GNSS, and distributed sensors to improve earthquake early warning systems and infrastructure resilience. Key contributions include the ARGONET vertical array and PROION project’s multi-parametric monitoring framework.

• Computational Linguistics
• Natural Language Processing
• Sentiment Analysis
• +2 more

Alexandri Christina is a Lecturer at the Faculty of German Language and Literature at the National and Kapodistrian University of Athens. Her research focuses on computational linguistics and natural language processing, with applications in sentiment analysis, machine translation, and human-computer interaction systems. Her work examines how implicit meaning and unspoken context in spoken interactions can be computationally modeled, particularly in political, journalistic, and technical domains. Recent projects explore the integration of generative AI with traditional linguistic approaches to enhance human-machine communication across specialized fields including medical, engineering, and maintenance contexts. Research trends show consistent focus on multilingual processing challenges, with innovations in knowledge graph construction for bias detection and cross-domain adaptation techniques. Publications demonstrate strong interdisciplinary connections between linguistics, computer science, and social sciences.

• Distributed Systems
• IoT Protocols
• Big Data
• +4 more

Dr. Sotirios Kontogiannis is a Researcher and Director of the Distributed MicroComputer Systems Laboratory (MCSL) at the Department of Mathematics, University of Ioannina. He holds a PhD in Software Engineering from Democritus University of Thrace (2012), with a focus on load balancing algorithms for distributed systems. His career spans academic and private sector roles, including software development, research in FP7 projects, and technical leadership at TEKMON Geomatics. He currently teaches courses on Database Systems, Parallel Algorithms, and Educational Technologies at the University of Ioannina. Education: 5-year Engineering Diploma (DUTH, 2003), MSc in Microelectronics and Information Systems (DUTH, 2006), PhD in Load Balancing Algorithms (DUTH, 2012). Research Focus: Distributed systems, IoT protocols, sensor networks, big data, and smart agriculture technologies (e.g., beekeeping monitoring systems, wine fermentation frameworks). His work integrates IoT, AI, and edge computing to address challenges in agriculture, accessibility, and environmental monitoring. Notable inventions include patented smart beehive systems and tactile navigation tools for visually impaired individuals.

Katsiri EleftheriaView profile

Assistant Professor

• Diffuse Computing
• Sensor Networks
• Middleware
• +6 more

Eleftheria Katsiri is an Assistant Professor at the Department of Electrical and Computer Engineering, Democritus University of Thrace, specializing in Operating Systems and Internet of Things (IoT) technologies. She joined the university in December 2013 and has been an Associate Faculty Member at the Athena Research Center since 2014. University of Patras, B.Sc. in Computer and Informatics Engineering (1998) University of Cambridge, PhD in Computing (2005) Her research focuses on real-time data processing, sensor network simulation, and middleware development for IoT systems. She has contributed to environmental monitoring, healthcare informatics, and decentralized water management solutions. Notable scientific awards include the Domestic Studentship, CASE, and Pressed Steel Award scholarships during her PhD. She has coordinated research projects like ALPINE and Hydropolis and participated in eight international research initiatives. Coordinated ALPINE project (2013-2015), showcased at Thessaloniki International Fair 2016 Worked on EU-funded SPICE, iWidget, ICENI II, UbiMon, and Greek projects RFCure, Greenactions, CAP Contributed to 11 EU evaluation committees (46 proposals assessed) Developed 13 hardware/software demonstration systems (sensor networks, IoT apps, simulation tools)

Garofalakis MinosView profile

Professor

• Database Systems
• Data Streams
• Big Data Analytics
• +7 more

Minos Garofalakis is a Professor of Computer Science at the School of Electrical and Computer Engineering (ECE) of the Technical University of Crete (TUC), where he directs the Software Technology and Network Applications Laboratory (SoftNet). He is also the Director of the Information Management Systems Institute (IMSI) at the Athena Research and Innovation Centre in Athens. Previously, he held roles at Yahoo! Research, Intel Research Berkeley, and Bell Laboratories, and was an Adjunct Associate Professor at UC Berkeley. Education: He earned a BSc in Computer Engineering from the University of Patras (1992), followed by MSc (1994) and PhD (1998) in Computer Science from the University of Wisconsin-Madison. Research Interests: His work focuses on Big Data analytics , including database systems, data streams, approximate query processing, probabilistic databases, and secure/private data analytics. Key areas include distributed stream processing, data synopses, and machine learning applications. He has authored over 150 papers and holds 29 patents, with an h-index of 63 and 13,500+ citations. Recent Work Trends: His recent articles emphasize scalable stream analytics (e.g., OmniSketch), privacy-preserving techniques, and distributed event processing. He explores challenges in handling high-velocity data streams, uncertainty in databases, and real-world applications like healthcare analytics. Scientific Awards: ACM Fellow (2018), IEEE Fellow (2017), TUC Excellence Award (2015), and multiple patents from Bell Labs/Yahoo/AT&T. Advising & Grants: He led EU projects such as FERARI, LEADS, and The Human Brain Project. His lab, SoftNet, develops tools for extreme-scale analytics and declarative networking. Current work includes interactive cross-platform analytics (Infore) and AI-driven medical data systems. Labs/Teams: Director of SoftNet Lab and IMSI. Collaborates with industry partners on distributed systems and privacy-preserving technologies.

Anastasia DrandakiView profile

Associate Professor

• Byzantine Archaeology
• Byzantine and Post-Byzantine Painting
• Material Culture Studies
• +7 more

Anastasia Drandaki is an Associate Professor in Byzantine Archaeology at the Department of History and Archaeology, National and Kapodistrian University of Athens, where she specializes in Byzantine and Post-Byzantine painting and material culture. She has held this position since 2018, following many years as Curator of the Byzantine Collection at the Benaki Museum in Athens. As a 2013-2014 member of the Institute for Advanced Study in Princeton, NJ, she has established herself as a leading scholar in Byzantine material culture and icon studies. Drandaki was trained at the National and Kapodistrian University of Athens (NKUA) as an archaeologist and art historian, earning both her BA and PhD there, and also attended intensive computing courses at the University of Westminster, London, where she designed a documentation system for the Benaki Museum Byzantine Collection. Her research focuses on Late Antique and Medieval Metalwork; Art and Material Culture in Late Antique and Medieval Mediterranean; the Art and Cult of Icons; Pilgrimage; the arts of Sinai; Science and Technology in Archaeology and Museums; and the History of Byzantine Collections. She has curated or co-curated acclaimed Byzantine exhibitions worldwide, including Pilgrimage to Sinai (2004), The Origins of El Greco (2009-2010), Heaven and Earth (2013-2015), and Routes of icons (2023). Her publications include the comprehensive monograph on Late Antique copperwares (2020) and the first study on a newly discovered early Palaiologan Epitaphios (2023). Her scholarly output demonstrates consistent engagement with Byzantine material culture across multiple dimensions, from technical analysis of artifacts to the cultural contexts of religious art production and circulation. Her work increasingly integrates scientific analysis with traditional art historical approaches, particularly evident in her studies of metalwork and icon technology. Drandaki serves as Head Researcher for the Benaki Museum in the EU-funded ERC RICONTRANS project (2019-present) on Visual Culture, Piety and Propaganda: Transfer and reception of Russian Religious Art in the Balkans and the Eastern Mediterranean. She is also a member of the Scientific Expert Panel of the Science and Technology in Archaeology Research Center (STARC) and the APAC Labs in The Cyprus Institute, Nicosia, and since 2021 has served as Vice-president in the Board of the Christian Archaeological Society, responsible for the publication of the Deltion journal. Based in office 406 at the University Campus in Athens, Drandaki continues to bridge museum practice with academic research, bringing her extensive curatorial experience to bear on her scholarly work and teaching in Byzantine archaeology and art history.

Petros Bouras-VallianatosView profile

Associate Professor

• History of Medicine
• Byzantine Studies
• Medical History
• +6 more

Petros Bouras-Vallianatos is an Associate Professor in the Department of History and Philosophy of Science at the National and Kapodistrian University of Athens. His research focuses on the history of medicine from Late Antiquity through the Early Modern period, with particular emphasis on Byzantine and medieval Mediterranean contexts. He holds a doctorate in the History of Medicine from King’s College London and has held prestigious positions including a Wellcome Research Fellowship at King’s College London (2016-2019) and a permanent Wellcome Lectureship in History of Medicine at the University of Edinburgh (2019-2022). His academic journey includes studies in Pharmacy (MPharm, University of Athens), Classics & Ancient History (BA, King’s College London), and Late Antique & Byzantine History and Literature (MSt, University of Oxford). He has published widely on Byzantine medicine, pharmacology, and the reception of classical medical traditions, including his acclaimed monograph Innovation in Byzantine Medicine: The Writings of John Zacharias Aktouarios , awarded the Prize for Young Historians by the International Academy of the History of Science. Bouras-Vallianatos’s research interests span late antique and medieval medical practices, cross-cultural knowledge transfer, medical lexicography, and palaeography. He has pioneered studies on Byzantine pharmacological texts and their transmission, such as the introduction of sugar-based potions from the Islamic world to Byzantium. His work also includes editorial roles, such as Series Editor of Global Histories of Premodern Health and Healing and co-Editor of the Journal of Late Antique, Islamic and Byzantine Studies . He has secured funding from the A. G. Leventis Foundation, Alexander S. Onassis Foundation, AHRC, and the Wellcome Trust. His scholarly contributions include over 20 peer-reviewed articles, book reviews, and edited volumes, demonstrating expertise in medical manuscripts, historical medical theories, and interdisciplinary approaches to medical history.

Michalis SialarosView profile

Associate Professor

• History of Mathematics
• History of Geometry
• History of Algebra
• +7 more

Micahalis Sialaros is an Associate Professor of History of Sciences in Antiquity at the Department of History and Philosophy of Science, National and Kapodistrian University of Athens. His research focuses on the mathematical sciences of the Hellenistic period, particularly the cultural and intellectual contexts of ancient Greek mathematics. Sialaros has held previous positions as a British Academy Postdoctoral Fellow at Birkbeck, University of London, and as a Postdoctoral Fellow at Humboldt-Universität zu Berlin's Research Training Group. His work explores intersections between rhetoric, poetry, and the formation of mathematical methodologies, notably examining how Greek mathematical propositions mirror forensic speech structures. Key themes include the role of the Platonic Academy in shaping mathematical thought, the transmission of Euclid's Elements , and the rhetorical dimensions of Diophantus' Arithmetica . Sialaros has edited volumes such as Revolutions and Continuity in Greek Mathematics (2018) and authored a forthcoming English translation of Euclid's Elements . His publications analyze premodern algebraic practices, historiographical assumptions, and the manuscript tradition of ancient mathematical texts.

• Data Science
• Data Mining
• Big Data Analytics
• +8 more

Nikolaos Pelekis is a Professor at the Department of Statistics and Actuarial Science, School of Finance and Statistics, University of Piraeus, where he teaches courses in Data Science, Data Management, Information Systems, and Computer Programming. He has been actively involved in both undergraduate and postgraduate education, offering specialized courses such as "Statistical Data Mining Methods" in the Applied Statistics Master's program and "Big Data Management" in the Cybersecurity and Data Science postgraduate program. Born in 1975, Professor Pelekis earned his Bachelor's degree in Computer Science from the University of Crete (1998), followed by an MSc in Information Systems Engineering (1999) and a PhD in Moving Object Databases (2002) from UMIST University in the United Kingdom. His educational background laid the foundation for his distinguished career in data science and database management. Professor Pelekis' research spans multiple domains within data science and database management, with particular emphasis on mobility data analytics. His work focuses on data mining, big data management and analytics, with special attention to location and motion data including trajectories of moving objects. He has made significant contributions to spatial and spatiotemporal database management, moving object database systems, privacy-preserving data mining, and OLAP analysis. His research bridges theoretical foundations with practical applications, particularly in maritime and transportation domains. An analysis of Professor Pelekis' recent publications reveals a strong trend toward maritime data analytics and vessel traffic prediction. His work increasingly focuses on applying machine learning techniques to maritime trajectory data, developing systems for collision risk assessment, vessel location forecasting, and maritime route prediction. The research demonstrates a progression from foundational database management techniques to sophisticated analytics for time-critical mobility forecasting, with applications in aviation and maritime domains. Five best research paper awards 1st & 3rd place in the SemEval-2017 competition 3rd place in the ACM SIGSPATIAL Cup 2016 competition Best paper award at ACM SIGSPATIAL'14 (Path-based Queries on Trajectory Data) Best paper award at ER'13 (Baquara: A Holistic Ontological Framework for Movement Analysis with Linked Data) Best application paper award at ICDM'09 (Clustering Trajectories of Moving Objects in an Uncertain World) Ralf H. Güting best research paper award at SSTD'21 (A Novel Indexing Method for Spatial-Keyword Range Queries) Best Demo Paper award at SSTD'21 (MaSEC: Discovering Anchorages and Co-movement Patterns on Streaming Vessel Trajectories) Professor Pelekis has been actively involved in advising and research funding acquisition. He has participated in over 10 European and National Research and Development projects as principal investigator or key researcher. His leadership extends to directing research laboratories and coordinating large-scale collaborative projects. As co-founder of the Data Science Lab - DataStories at the University of Piraeus, he has mentored numerous researchers and students. His research has been supported by prestigious funding programs including Horizon Europe, Horizon 2020, and national research initiatives. Professor Pelekis co-founded and leads the Data Science Lab - DataStories at the University of Piraeus, which comprises 9 faculty members from 4 different Departments along with experienced and young researchers. He previously served as Head of Research for the Information Management Lab (InfoLab) at the Department of Informatics, University of Piraeus (2005-2014). His current research team is actively engaged in multiple European projects including "DAT.AI – Energy-efficient AI-ready Data Spaces" and "EMERALDS – Extreme-scale Urban Mobility Data Analytics as a Service," focusing on cutting-edge applications of data science in maritime and urban mobility contexts.

Earl T. BarrView profile

Professor

• Software Engineering
• Program Analysis
• Type Systems
• +6 more

Earl T. Barr is a Professor of Software Engineering at University College London (UCL), where he heads the System Software Engineering Group and is a member of the Centre for Research on Evolution, Search and Testing (CREST). His academic journey began with a Ph.D. in Computer Science from the University of California, Davis in 2009, after which he joined UCL as faculty. His research spans multiple domains within software engineering, with particular focus on program analysis, type systems, automated program repair, and the emerging field of dual channel analysis that examines the interplay between natural language and formal programming language in source code. Barr's work on the 'naturalness of software' has been influential in understanding how code differs from natural language while exhibiting statistical regularities. Barr's publication record shows a strong trend toward integrating machine learning with traditional software engineering techniques, particularly in type inference (Typilus), program repair, and code understanding. His recent work increasingly focuses on dual channel analysis, exploring how the natural language elements in code (identifiers, comments) interact with the formal programming language to create a richer communication channel for developers. MSR 2019 Most Influential Paper Award Multiple ACM SIGSOFT Distinguished Paper Awards Best Paper Award at IEEE Conference on E-Commerce Technology (2005) Barr actively supervises numerous Ph.D. students and postdocs, with current projects focusing on dual channel program analysis, AI for code, and software security applications. He has established long-term collaborations with researchers at institutions including Royal Holloway and the University of Luxembourg. His teaching portfolio at UCL includes core courses in Malware, Compilers, and Validation and Verification, reflecting his broad expertise across the software engineering spectrum. Barr leads the System Software Engineering Group at UCL, which focuses on practical applications of software engineering research with strong connections to industry problems. The group's work bridges theoretical foundations with real-world software development challenges, particularly in the areas of program analysis and automated software maintenance.

Konstantinos A. TsintotasView profile

Assistant Professor

• Artificial Intelligence
• Robotics
• Computer Vision
• +9 more

Konstantinos A. Tsintotas is an Assistant Professor at the Department of Information and Electronic Engineering, International Hellenic University. His research focuses on artificial intelligence, robotics, computer vision, and their applications in smart cities, healthcare, and manufacturing. He is actively involved in advancing AI-driven systems for critical infrastructure management, robotic vision, and embedded device technologies. His work spans theoretical advancements and practical implementations, including projects like SLAM algorithms for autonomous navigation, deep learning models for medical diagnosis, and IoT-integrated smart supply chains. Tsintotas also explores ethical implications of AI in human action recognition and contributes to neuromorphic computing through spiking neural networks. Key technical contributions include ReJSHand (real-time hand pose estimation), fall detection systems for embedded devices, and visual place recognition frameworks. His interdisciplinary approach bridges computer science, electrical engineering, and biomedical applications, reflecting a strong commitment to innovation at the hardware-software interface. Notable trends in his publications emphasize AI ethics, multimodal perception for robotics, and low-power embedded solutions. Ongoing work includes advancing digital twin technologies for supply chains and refining bio-inspired neural architectures for robotics applications.

• Digital Art
• Cultural Heritage Management
• Multimedia Applications in Art
• +3 more

Stavroula Tzima is a member of the Laboratory Teaching Staff at the Department of Fine Arts and Art Sciences, University of Ioannina. She specializes in integrating new technologies into arts and culture, with a focus on digital art and cultural heritage management. MSc in Information Systems, Athens University of Economics and Business MSc in Networking Cities and Representations, Athens University of Economics and Business PhD in Cultural Heritage Management and Technology Research Interests : Use of new technologies for artistic creation Cultural heritage digitization Multimedia applications in visual arts Accessibility in cultural studies Contact : Wednesday & Thursday 10:00 – 12:00 Multimedia Lab, Room 517, Central Library Building P.C. 45110 Ioannina GR

• Network Systems
• Mobile Computing
• Internet of Things
• +3 more

Professor Maria Papadopouli leads research in the Computer Science Department at the University of Crete and the Institute of Computer Science at FORTH. Her interdisciplinary work spans mobile networks, IoT systems, and computational neuroscience. Current neural research focuses on spontaneous brain activity patterns and cortical communication mechanisms. Network systems research examines QoS impacts on user engagement and robust telecommunications architectures. Her group develops analytical frameworks for complex network behaviors across technological and biological domains.

Panos TrahaniasView profile

Professor

• Robotics
• Computer Vision
• Humanoid Robots
• +1 more

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.