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Triantafyllou SavvasView profile

Assistant Professor

• Computational Mechanics
• Structural Engineering
• Fracture Mechanics
• +5 more

Triantafyllou Savvas serves as an Assistant Professor in the Department of Structural Engineering at the School of Civil Engineering, National Technical University of Athens (NTUA), with his faculty appointment documented since October 2020. His academic work is centered within one of Greece's premier engineering institutions, contributing to both advanced structural analysis education and cutting-edge computational research. Professor Savvas's research program focuses on computational structural mechanics with emphasis on developing advanced numerical methods for complex engineering challenges. His expertise spans material point methods for contact and fracture problems, wave-structure interaction phenomena (particularly for dams and flexible structures), vibroacoustics in porous media, and the mechanical behavior of textile reinforced mortar (TRM) systems for masonry strengthening. His work bridges theoretical computational advances with practical applications in infrastructure resilience against extreme events like tsunamis and earthquakes. Analysis of his recent publications (2021-2025) reveals a cohesive research trajectory centered on computational innovation: he has pioneered high-fidelity material point formulations for contact mechanics, developed multiscale virtual element methods for poroelastic media, established empirical models for TRM-masonry interfaces, and explored machine learning integration in topology optimization. His work consistently addresses critical gaps in simulating dynamic structural failures and wave impacts. Scientific Awards: No scientific awards were documented in the provided source materials. Advising and Grants: While the source materials do not specify current students or grant awards, Professor Savvas's extensive publication record across high-impact journals indicates active graduate research supervision and likely involvement in competitive research funding. His collaborative work with institutions like NTUA's Department of Structural Engineering suggests participation in national and international research consortia focused on computational mechanics and structural safety.

• Blockchain Technology
• Social Network Analysis
• Reputation Systems
• +6 more

Associate Professor Aphrodite Tsalgatidou holds a faculty position at the Department of Informatics and Telecommunications, National and Kapodistrian University of Athens. Her research focuses on blockchain technology, social network analysis, and reputation systems with applications in e-commerce, distributed systems, and business process management. Her work spans over three decades, addressing challenges in interoperability of heterogeneous services, P2P systems, and mobile commerce. Notable contributions include frameworks for secure blockchain scaling (Adrestus), real-time social tracking systems (BLACE), and reputation mechanisms for e-commerce platforms. She has also explored abstracting BPMN models for complex process comprehension. Her research integrates computer science with practical applications in distributed systems, cybersecurity, and service-oriented architectures. Recent efforts emphasize scalable blockchain solutions and AI-driven big data pipelines. Despite extensive contributions, no scientific awards are explicitly mentioned in available materials. Her advising and grant activities are not detailed in the provided data, though her prolific publication history suggests active involvement in academic collaborations. No lab affiliations or teams are specified in the text.

Stavros KoliosView profile

Assistant Professor

• Meteorology
• Remote Sensing
• Satellite Data Analysis
• +5 more

Stavros Kolios is an Assistant Professor in Aerospace Science and Technology at the National and Kapodistrian University of Athens. His research focuses on advanced meteorological systems, remote sensing technologies, and environmental monitoring using satellite data. He specializes in developing automated algorithms for weather forecasting, rainfall estimation, and atmospheric analysis. Key research interests include machine learning applications for meteorology (e.g., hail detection, aerosol monitoring), satellite-based environmental systems (GIS platforms for flood monitoring, land-use change analysis), and climatic studies in the Mediterranean region. He has pioneered projects integrating neural networks with geospatial data to enhance weather prediction accuracy and ecological assessment. His work spans 20+ years, with publications addressing topics like TRMM rainfall accuracy, dust outbreak detection, and cloud system oscillations. Collaborative projects include the Ionian-Puglia meteorological network and environmental monitoring systems for Greek ports. He actively contributes to open-source tools like the GEOMAGNET WebGIS application.

• Computational intelligence
• Artificial neural networks
• Image and multimedia processing
• +3 more

Stavros J. Perantonis serves as Research Director at the Institute of Informatics and Telecommunications, National Center for Scientific Research "Demokritos" in Athens, Greece. He is currently Head of the Computational Intelligence Laboratory and Chairman of the Scientific Consulting Board of the Institute. Additionally, he teaches graduate courses in Pattern Recognition at the Department of Informatics & Telecommunications, University of Athens. His educational background includes: Athens College Graduate (1979) Bachelor's degree in Physics, University of Athens (1984) M.Sc. in Computer Science, University of Liverpool, UK (1991) D. Phil. in Computational Physics, University of Oxford, UK (1987) Perantonis specializes in computational intelligence with research focusing on artificial neural networks, image and multimedia processing, pattern classification, and document analysis. His work bridges theoretical foundations with practical applications in document analysis, 3D object retrieval, and medical imaging systems. His research methodology often combines neural network approaches with traditional image processing techniques to solve complex pattern recognition problems. His recent publications demonstrate a strong focus on document analysis systems, 3D shape retrieval, and human behavior analysis. The trends in his work show consistent development in computational intelligence methods applied to practical problems, with increasing emphasis on real-world applications in historical document processing, medical imaging, and surveillance systems. His research has evolved from foundational neural network theory to sophisticated applications in multiple domains. His notable scientific recognitions include: First prize of Panhellenic mathematical contest (1979) Scholarship by National Scholarship Foundation (1979-82) Scholarship by Alexander S. Onassis Public Benefit Foundation for graduate research (1985-1986) Grant by Science and Engineering Research Council (SERC), UK, for postdoctoral research (1987-1990) Perantonis has supervised numerous PhD students in areas including optimization, neural networks, document analysis, and 3D modeling. His laboratory has secured significant research funding through multiple national and EU projects including D-SCRIBE (digitization of Greek manuscripts), EMEDI (virtual medical school), and SEMVEILLANCE (semantic analysis for surveillance applications). His Computational Intelligence Laboratory serves as a hub for interdisciplinary research connecting computer science with practical applications in cultural heritage, healthcare, and security domains.

• Algorithmic Game Theory
• Approximation Algorithms
• Facility Location Problems
• +2 more

Dimitris Fotakis is Professor of Computer Science at the National Technical University of Athens (NTUA) and Collaborating Senior Researcher at the Archimedes Unit/ATHENA RC. His research in theoretical computer science focuses on algorithmic game theory, approximation algorithms, and facility location problems. He leads research projects including BALSAM (Beyond Worst-Case Analysis in Approximation Algorithms) funded by HFRI. With publications in ICALP, NeurIPS, and STOC, his work develops efficient algorithms for optimization under uncertainty. Fotakis serves on program committees of major conferences including ICALP and SAGT.

Alexander ArtikisView profile

Associate Professor

• Artificial Intelligence
• Distributed Systems
• Multi-Agent Systems
• +3 more

Alexander Artikis is an Associate Professor at the Department of Maritime Studies, University of Piraeus. His academic work bridges artificial intelligence, distributed systems, and maritime informatics, with a focus on complex event recognition and temporal reasoning. PhD in Multi-Agent Systems from Imperial College London Research areas include: Artificial Intelligence and Machine Learning Distributed and Real-Time Systems Event Calculus and Temporal Reasoning Maritime Data Analytics Recent publications highlight advancements in: Knowledge Graph Inconsistency Detection and Resolution Tensor-Based and Symbolic Register Transducer Formalisms Human-in-the-Loop Visual Analytics Temporal Specification Optimization Large Language Model Applications in Event Recognition Scalable Event Processing for Maritime Mobility He contributes to the academic community through program committee roles at premier conferences like AAMAS, IJCAI, and AAAI.

• OLAP and data warehousing
• data mining
• Sensor/P2P networks
• +8 more

Kotidis Ioannis serves as an Associate Professor in the Department of Informatics at the Athens University of Economics and Business (AUEB). His academic journey began with a Diploma in Electrical and Computer Engineering from the National Technical University of Athens, followed by Master's and Ph.D. degrees from the University of Maryland. His research focuses on several critical areas of database systems and data management, including On Line Analytical Processing (OLAP) and data warehousing, data mining, Sensor/P2P networks, mobile data management, data fusion & dissemination, data streams, RFID data management, approximate query answering, ranking, and database preservation and integration. His work bridges theoretical database concepts with practical applications in emerging technologies. Professor Kotidis' publication record demonstrates consistent contributions to database research over two decades, with notable work in dynamic view management, stream processing, sensor network data management, and more recently, blockchain-based OLAP view management and complex event processing. His research has evolved from traditional data warehousing to address challenges in modern data-intensive applications. best paper award at ACM SIGMOD International Conference on Management of Data for DynaMat paper Throughout his career, Professor Kotidis has supervised numerous students on projects related to database systems, including work on complex event processing, decentralized OLAP view management using blockchains, and graph similarity learning. His research projects include DeLorean (time-series management), RECOST (complex stream management), DBSENSE (wireless sensor networks), and INFORE (extreme-scale analytics). His laboratory work focuses on creating efficient, scalable solutions for data management challenges across various domains, with particular emphasis on making advanced data processing techniques accessible and practical for real-world applications.

Christos BerberidisView profile

Research Fellow

• Machine Learning
• Data Mining
• Natural Language Processing
• +4 more

Dr. Christos Berberidis is a Research Fellow and Faculty Member at the International Hellenic University, where he coordinates activities within the DORG Research Group. His academic foundation includes a BSc in Informatics from Aristotle University of Thessaloniki (1998), an MSc in Information Systems Engineering from the University of Manchester (1999), and a PhD from Aristotle University's Department of Informatics. Research Focus Dr. Berberidis specializes in interdisciplinary domains at the intersection of computer science and real-world applications: Core methodologies : Machine Learning, Data Mining, Natural Language Processing, and Deep Learning Applied research : Disinformation analysis, fake news detection, semantic web technologies, and bioinformatics Emerging domains : Digital governance transformation and ethical AI frameworks Publication Trends His scholarly output demonstrates evolving focus areas: early work centered on bioinformatics and transaction database mining (2005-2013), shifting toward semantic web applications (2010-2013), and currently emphasizing disinformation analysis, digital government, and AI ethics (2021-present). Methodological consistency in machine learning underpins all research phases. Professional Activities Former Visiting Researcher at Purdue University's Department of Computer Sciences Adjunct Lecturer at Aristotle University teaching programming methodologies Research consultant and project manager for private sector R&D initiatives Active contributor to EU projects including JustReDi (regional digital transition) and digiGOV-innoHUB (digital skills development) Team Affiliations Dr. Berberidis coordinates research at the DORG Group, focusing on data-centric governance, AI applications, and digital innovation within the International Hellenic University ecosystem.

Doulkeridis ChristosView profile

Professor

• Big Data
• Data Management in Cloud Computing
• Query Processing
• +5 more

Christos Doulkeridis is a Professor at the Department of Digital Systems, University of Piraeus. Specializing in big data management, distributed systems, and mobility analytics, he has led projects such as CHOROLOGOS (ELIDEK-funded) and contributed to EU initiatives like datAcron and Track&Know. He holds Marie-Curie and ERCIM fellowships, and his work emphasizes energy-efficient data architectures and semantic trajectory analysis. Education: PhD in Informatics, Athens University of Economics and Business (2007) MSc in Informatics, Athens University of Economics and Business (2003) Diploma in Electrical & Computer Engineering, National Technical University of Athens (2001) Research Interests: Big data analytics, cloud computing, spatiotemporal query processing, mobility forecasting (e.g., traffic patterns, maritime monitoring), and semantic trajectory modeling. His work bridges theory with practical applications in smart cities and environmental sustainability. Awards: Winner of SemEval’17 Task4 (sentiment analysis) Best Paper Award at EuroVA’19 Michalis Dertouzos Award (2004) for Human Face of Computing Grants & Projects: Principal Investigator for CHOROLOGOS (semantic spatiotemporal data) Core contributor to datAcron (maritime data ontology) European projects: BigDataStack, RoadRunner (ARISTEIA II) Labs & Teams: Leads research teams developing frameworks like SPARTAN (semantic integration) and ARGO (trajectory prediction). Collaborates on open-source tools like ST_VISIONS (spatiotemporal visualization) and NoDA (unified NoSQL access).

• Smart Textiles
• Occupational Safety
• Ergonomics
• +5 more

George Priniotakis is a Professor in the Department of Industrial Production Systems at the University of West Attica. He specializes in innovative textile technologies for multifunctional clothing, with a focus on medical and military applications, wearable sensors, and sustainable materials. His work bridges engineering, ergonomics, and environmental stewardship. University of Leeds – M.Sc. in Fiber Science and Technology (1992) University of Ghent – PhD in Conductive Textile Materials His research interests include: Smart systems using conductive textiles Risk management via wearable sensors Recyclable yarn development Innovative educational tools for engineering Professor Priniotakis has led numerous research projects as a scientific director and coordinator, participated in over 100 international conferences, and maintains an H-index of 12. He serves as President of the Organizing Committee for the biennial AITAE conference.

Ilias KapoutsisView profile

Associate Professor

• Organizational Behavior
• Workplace Politics
• Leadership
• +3 more

Ilias Kapoutsis serves as Associate Professor of Management at Athens University of Economics and Business (AUEB), affiliated with the School of Business and Department of Business Administration. His academic profile combines rigorous theoretical research with practical organizational applications, evidenced by publications in premier journals including Journal of Management and Journal of Organizational Behavior. His educational foundation includes: Bachelor's degree in Business Administration from AUEB Ph.D. in Management from AUEB MSc in Business Information Technology from University of Manchester Dr. Kapoutsis' research program investigates political behavior dynamics in organizations, examining motivational drivers, cognitive logic, and balancing mechanisms that govern workplace politics. He explores leadership integrity, emotional labor consequences, remote work adaptations, and negotiation processes. His work reveals how political will, skill, and prudence interact to shape career trajectories and organizational effectiveness, often employing nonlinear modeling to capture complex behavioral patterns. Analysis of his recent publications (2020-2025) shows evolving focus on leader-follower power dynamics, passion burnout thresholds in healthcare, and phronesis (practical wisdom) in leadership. His methodological approach combines multi-study designs with systematic reviews, contributing to theoretical refinement in organizational behavior through examination of contextual contingencies and boundary conditions. While holding editorial roles as Associate Editor for Frontiers in Psychology: Organizational Psychology and Guest Editor for European Management Journal special issues, no specific scientific awards are documented in available sources. Dr. Kapoutsis leads significant research initiatives including the Greek National Employment Strategy (2021-2027) commissioned by the Ministry of Labour, and UAE National Research Fund projects on public sector strategic planning. His applied work includes founding the Athens Negotiation Tournament in 2019 and extensive consulting for organizations like IKEA, National Bank of Greece, and Ministry of National Defence, translating academic insights into real-world management solutions. Information regarding dedicated research laboratories or specialized teams is not explicitly provided in current documentation.

• Estimation
• Characterization problems
• Environmental Statistics
• +3 more

Tzavelas Georgios is an Associate Professor at the Department of Statistics and Actuarial Science, School of Finance and Statistics, University of Piraeus. With a distinguished academic career spanning several decades, he has established himself as a prominent researcher in statistical theory and methodology, with particular expertise in estimation theory, characterization problems, environmental statistics, and biostatistics. His educational background includes a Ph.D. in Mathematical Statistics (1994), Master of Arts (1991), both from the University of Maryland at College Park, and a Bachelor's Degree in Mathematics (1984) from the University of Patras. His academic journey began with exceptional promise, as he ranked in the top 5% of students throughout his undergraduate studies. Professor Tzavelas' research focuses on advanced statistical methodologies with applications across multiple domains. His work in estimation theory has produced significant contributions to understanding parameter estimation in complex models, particularly with biased and size-biased samples. His research in environmental statistics has addressed critical issues related to environmental monitoring and assessment, while his biostatistics work has contributed to medical research methodology. Recent research trends show a strong emphasis on weighted distributions, characterization theorems, and the application of statistical methods to biomedical and environmental data. His scholarly output demonstrates consistent productivity with numerous publications in prestigious journals including Journal of Applied Statistics, Biometrical Journal, Metrika, and Journal of Statistical Computation and Simulation. His work often bridges theoretical developments with practical applications, particularly in healthcare and environmental contexts. Exemplary Teaching Award, University of Maryland at College Park (1993) Ranked in the top 5% of students at University of Patras (1981-1983) Throughout his career, Professor Tzavelas has participated in numerous research programs funded by various institutions, addressing diverse topics from healthcare quality assessment to environmental statistics. His collaborative approach is evident in his extensive co-authorship with researchers across different disciplines. He has also contributed significantly as a reviewer for international journals including Applied Statistics, Journal of Statistical Computation and Simulation, and Communication in Statistics. His teaching portfolio spans both undergraduate and graduate levels, with courses in sampling methods, statistical estimation, clinical trials, and biostatistics. His research program continues to advance statistical methodology while addressing real-world problems in healthcare, environmental science, and social research.

• management information systems
• workflow management
• complex event processing
• +2 more

Dr. Ioannis Verginadis is an Assistant Professor at the Department of Business Organization and Management, School of Business Administration, Athens University of Economics and Business. His research focuses on Information Systems for Business Administration, with over 15 years of experience in ICT projects spanning management information systems, workflow management, complex event processing, cloud computing, and security. Education: PhD in Electrical and Computer Engineering from National Technical University of Athens (NTUA), focusing on Inter-Organizational Models and Workflow Systems. Past Roles: Worked as a Lecturer (P.D. 407/80) at the University of Thessaly and Technical University of Peloponnese. Collaborations: Maintains long-term research collaboration with the Research University Institute of Communication and Computer Systems (RICCS) at NTUA. Publications: Co-authored books on management information systems, e-participation, adaptive web services, and electronic assisted living systems; has over 60 publications in international journals and conferences. Committee Involvement: Participated in more than 25 scientific committees for international conferences and journals.

Laura DietzView profile

Associate Professor

• Information Retrieval
• Machine Learning
• Natural Language Processing
• +6 more

Laura Dietz is a tenured Associate Professor in the Department of Computer Science at the University of New Hampshire, where she leads the TREMA lab. Her academic journey began with a PhD from the Max Planck Institute for Informatics in Saarbruecken, Germany (2011), followed by postdoctoral positions at the University of Massachusetts Amherst (2010-2015) and University of Mannheim (2015-2016). Her educational background includes PhD studies at both the Max Planck Institute for Informatics (2007-2011) under Prof. Gerhard Weikum and Prof. Tobias Scheffer, and earlier research at Humboldt University in Berlin. She has built a distinguished career bridging theoretical computer science with practical applications in information retrieval and machine learning. Dietz's research primarily focuses on the intersection of information retrieval, natural language processing, and knowledge graphs, with a parallel research initiative in watershed data science. She is particularly known for her work on entity-aspect linking, complex answer retrieval, and the vision of automatic Wikipedia construction. Her approach integrates fine-grained knowledge annotations with text understanding to create comprehensive information systems that go beyond traditional 10-blue-links search paradigms. In watershed data science, she applies similar machine learning techniques to environmental data streams, focusing on solute transport analysis during storm events. Her recent publications reveal a strong trend toward fine-grained semantic understanding, particularly in entity-oriented search tasks. She has pioneered methods for entity-aspect linking that significantly improve retrieval accuracy by capturing different contexts in which entities appear. Her work increasingly integrates knowledge graphs with neural architectures, showing sophisticated understanding of how to leverage both structured and unstructured information for better search experiences. Best paper award at JCDL 2018 for work on entity-aspect linking NSF CAREER Award (2019-2023) for "Utilizing Fine-grained Knowledge Annotations in Text Understanding and Retrieval" OSSI Award 2013 from UMass ICB3 for open-source hardware/software Dietz actively mentors PhD and Masters students through the TREMA lab, with current research focusing on entity ranking, topic extraction, conversational search, and watershed forecasting. Her grant portfolio includes the NSF CAREER award and funding from the Northeast Big Data Innovation Hub for forecasting salinity in rivers during storm events. She has also coordinated the TREC Complex Answer Retrieval track (2017-2019), creating important benchmarks for the IR community. The TREMA lab (Text Retrieval, Entity Modeling, and Applications) serves as the hub for Dietz's research activities, bringing together students and collaborators to work on cutting-edge problems in information access. The lab's work spans both theoretical contributions to information retrieval and practical applications in domains ranging from environmental science to scientific publication analysis.

• Modern Balkan History
• 20th century history
• World War I Macedonian Front
• +15 more

Vlasios Vlasidis is a Professor at the Department of Balkan, Slavic & Oriental Studies at the University of Macedonia in Thessaloniki, Greece. His academic career spans several decades with a focus on Balkan history, particularly the Macedonian Front during World War I, media studies, and political communication in the Balkan region. He maintains an active research profile with numerous publications and academic contributions, including 27 books, 12 journal articles, and 29 conference presentations. Professor Vlasidis specializes in Modern Balkan History, 20th century history, World War I Macedonian Front, Memory management policies, Media Studies, Political Communication, New Media, Propaganda, and the history of electronic media in Greece and the Balkans. His work examines power relations and the media, Cold War and Media, Immigration and Media, as well as military cemeteries and their role in cultural memory. His research often focuses on the complex interplay between historical events, media narratives, and national identities in the Balkan region, particularly examining how different nations interpret and memorialize shared historical experiences. His scholarly work demonstrates a consistent focus on historical memory, particularly regarding World War I in the Balkans, with numerous publications examining cemeteries, monuments, and commemorative practices along the Macedonian Front. His research also extends to contemporary issues including Greek-Turkish relations during crises, media dynamics in border regions between Greece and North Macedonia, and the impact of the pandemic on religious practices in Greece. This diverse yet interconnected body of work reveals his expertise in both historical analysis and contemporary media studies within the Balkan context, bridging archival research with contemporary fieldwork. Professor Vlasidis has contributed significantly to academic discourse through his publications, participation in conferences, and academic collaborations including co-editing 'Macedonian Identities through time. Interdisciplinary Approaches' (2010) and 'Athens-Skopje. An Uneasy Symbiosis' (2005). His work has been instrumental in documenting and analyzing the historical and contemporary dynamics of the Balkan region, particularly focusing on the complex historical narratives surrounding Macedonia and its various interpretations across national contexts.