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Pavlos FafaliosView profile

Assistant Professor

• Information Systems
• Information Retrieval
• Semantic Web
• +9 more

Pavlos Fafalios is an Assistant Professor at the School of Production Engineering and Management, Technical University of Crete. His research focuses on Information Systems, with specialties in Information Retrieval, Semantic Web, and Knowledge Engineering. He holds a PhD in Computer Science (University of Crete, 2016) and conducted postdoctoral research at L3S Research Center (Germany) and FORTH (Greece). He has been a visiting lecturer at the Hellenic Mediterranean University and actively contributes to the international research community through over 50 publications. His work emphasizes semantic interoperability, knowledge graphs, and interdisciplinary applications in cultural heritage and digital humanities. Education: Diploma in Information and Communication Systems Engineering (University of the Aegean, 2009) Master's in Information Systems (University of Crete, 2012) PhD in Computer Science (University of Crete, 2016) Research interests include: Information Retrieval (e.g., exploratory search, semantic search) Knowledge Engineering (ontology design, data integration) Applications in maritime history, disaster informatics, and circular economy His recent articles explore ontology governance, knowledge graph applications in fact-checking, and semantic interoperability frameworks. Notable achievements include the Marie Skłodowska-Curie Fellowship (2016-2019) and contributions to projects like the Claimskg system.

Argyris KalogeratosView profile

Researcher

• Machine Learning
• Network Science
• Computational Social Systems
• +2 more

Argyris Kalogeratos is a permanent senior researcher at the Centre Giovanni Borelli , École Normale Supérieure Paris-Saclay (ENS Paris-Saclay), Université Paris-Saclay, France, and a member of the Learning and Information Processing Systems (LIPS) research group. Previously, he was a research scientist at the Centre of Applied Mathematics, ENS Cachan, France (2013–2018). Research Focus: Machine Learning on Graphs Industrial Collaborations: SNCF, CEA, Michelin, RTE, EDF Research Chair: Industrial Data Analytics and Machine Learning (IDAML) His research interests span Machine Learning , Statistics , Network Science , Decision & Control , and Computational Social Systems . He leads the ML on Graphs research theme and participates in projects like the EDF Data Challenge and Île-de-France AI for Industry Challenge . Current PhD advisees include: Alejandro de la Concha Duarte (Statistical Machine Learning on Graphs) Gaëtan Serré (Global Optimization) Gwendal Debaussart (Graph Representation Learning) Eloi Campagne (Time-Series Forecasting for Energy Sector) Gaspard Abel (Machine Learning on Social Interaction Networks) Past funding includes the MORANE project (SNCF collaboration) and the SODATECH project (French government Big Data initiative). He coordinates the LIPS seminars and contributes to academic-industry synergies through projects like AIfluence and French-German Summer-schools .

Andreas GöbelView profile

Professor

• Computational Counting
• Randomness in Computation
• Computational Complexity
• +4 more

Andreas Göbel is a Professor and Chair of Algorithm Engineering at the Hasso Plattner Institute (HPI). His research focuses on computational counting, randomness in computation, computational complexity, graph theory, and stochastic processes. He has contributed extensively to understanding diffusion processes, clique structures in networks, and algorithmic approaches to statistical physics problems. His work bridges theoretical computer science with practical algorithm design. Recent contributions include analyzing SIRS process survival times, clique dynamics in geometric random graphs, and non-linear information diffusion models. He has published widely in top-tier conferences such as IJCAI, AAAI, and SODA. Göbel teaches courses including Probability and Computing, Algorithmix, and Theoretical Foundations of Cryptography. His research group explores both foundational aspects of algorithms and real-world applications, particularly in network science and combinatorial optimization.

• Big Data Engineering
• Semantic Web
• Semantic Summarization
• +4 more

Haridimos Kondylakis is an Associate Professor at the Computer Science Department of the University of Crete and an Affiliated Researcher at the Institute of Computer Science (FORTH). He specializes in Big Data Engineering, Semantic Web technologies, and AI-driven healthcare solutions. He holds a Ph.D. and M.Sc. in Computer Science from the University of Crete. His research focuses on biomedical data management, semantic summarization, and AI applications in healthcare. He leads projects like SUNRISE, ProCAncer-I, and GenoMed4All, addressing cancer treatment, personalized medicine, and healthcare data interoperability. He has participated in over 27 EU projects with a combined budget exceeding €100M. He actively contributes to academic governance, serving on editorial boards (e.g., Information journal) and program committees for top conferences (SIGMOD, VLDB, ESWC). His work has resulted in over 220 publications and multiple awards, including the 2025 SIGMOD Distinguished Reviewer Award. He has led educational initiatives through grants and visiting lectures at institutions like the Hellenic Open University and Hellenic Mediterranean University. His current roles also include Founder & CTO of Ypsilon Care and Horizon Proposal Evaluator for the European Commission.

Dimitris PlexousakisView profile

Professor

• Knowledge Representation
• Semantic Web
• Service-Oriented Architectures
• +2 more

Dimitris Plexousakis is Professor of Computer Science at the University of Crete and Director of the Institute of Computer Science at FORTH. His research spans knowledge representation, semantic web technologies, service-oriented architectures, and database systems. With a PhD from the University of Toronto (1996), he leads multiple European projects including SmartHealth EDIH and participates in Horizon Europe initiatives. Plexousakis has published extensively on knowledge graphs, semantic web applications, and distributed systems. His current work focuses on scalable knowledge graph management, neuro-symbolic AI integration, and semantic technologies for healthcare applications. He teaches database systems, logic, and business process management courses.

• Digital Preservation
• Knowledge Representation
• Semantic Technologies
• +2 more

Panos Constantopoulos is a Professor in the Department of Informatics at the Athens University of Economics and Business. His research focuses on digital curation, semantic technologies, and knowledge representation for cultural heritage and scholarly communication. Dr. Constantopoulos leads projects involving ontology-driven information extraction, knowledge graph construction, and FAIR data principles for humanities research. His recent work develops transformer-based methods for scholarly data processing and linguistic linked data generation. Publications emphasize digital preservation frameworks, metadata aggregation, and semantic modeling of research activities. Article themes include heritage data management, research infrastructure design, and interdisciplinary methodologies. He coordinates European initiatives like DARIAH and contributes to standardization in digital preservation. Dr. Constantopoulos teaches graduate courses in knowledge systems and advises PhD students in informatics.

Vangelis MarkakisView profile

Associate Professor

• Theoretical Computer Science
• Game Theory
• Mechanism Design
• +3 more

Vangelis Markakis is an Associate Professor at the Department of Informatics, Athens University of Economics and Business (AUEB), where he has been a faculty member since 2009. He holds a PhD in Theoretical Computer Science from Georgia Institute of Technology (2005), an M.Sc. in Computer Science (Georgia Tech 2004), and a Diploma in Electrical and Computer Engineering from NTUA (2000). His academic career includes postdoctoral research at the University of Toronto and CWI (Amsterdam). Research Interests: Theoretical computer science, algorithm design, game theory, mechanism design, social networks, combinatorial optimization Awards: Recipient of the 2025 ACM SIGecom Test of Time Award for foundational work on fair allocations (2004) and the 2003 ACM EC Best Student Paper Award His work bridges algorithmic game theory, fair division, and computational economics, with notable contributions to approximation algorithms for Nash equilibria and auction mechanisms. He has supervised numerous PhD and MSc students, including prominent researchers now at institutions like University of Essex, NTU Singapore, and Yale. Scientific activities include extensive program committee memberships (ACM EC, AAAI, AAMAS, SAGT, WWW) and organizing conferences like ISCO 2012 and ACAC 2009. His teaching portfolio covers game theory, data structures, and advanced algorithms.

• Production Systems
• Business Processes
• Supply Chain Optimization
• +4 more

George Ioannou is a Professor of Production Management and Business Processes at the Athens University of Economics and Business, where he leads the MBA International Postgraduate Program and the Center for Business Processes and ERP Systems at the Laboratory of Management Science. Previously, he served as Assistant Professor at Virginia Tech's Department of Production and Systems Engineering. His academic journey includes a B.Sc. in Mechanical Engineering from National Technical University of Athens, an M.Sc./DIC in Industrial Robotics/Production Automation from Imperial College London, and a Ph.D. in Mechanical Engineering from the University of Maryland. Current Academic Roles: Professor, Director of MBA Program, Head of ERP Systems Center Prior Academic Roles: Assistant Professor at Virginia Tech Education: B.Sc., M.Sc./DIC, Ph.D. His research focuses on integrating web-based technologies with operational research to optimize production systems, business processes, and supply chains. This spans applications in plant spatial planning, ERP systems, and cultural heritage digitization. He has secured research funding from global organizations including NSF, European Commission, and private sector leaders like Microsoft. Scientific awards include Microsoft's Excellence in Education Award and multiple teaching excellence recognitions for MBA programs. Ioannou serves on the Technical Chamber of Greece (TEE) and the editorial board of Production Planning & Control , with extensive consulting experience for public and private sector entities.

• Data Science
• Machine Learning
• Distributed Systems
• +5 more

Ntoulas Alexandros is an Assistant Professor at the National and Kapodistrian University of Athens, affiliated with the Department of Informatics and Telecommunications. His research focuses on data science, machine learning, distributed systems, web technologies, and information retrieval. He has contributed to advancements in federated learning frameworks, graph analysis, and privacy-preserving techniques. His work spans both theoretical and applied domains, including optimization of mobile content delivery, real-time data processing, and community detection in network streams. Key research interests include federated deep learning (e.g., DeepReduce), efficient communication protocols for distributed systems, and scalable algorithms for graph stream analysis. He has published widely in conferences like PAKDD and journals focusing on data mining and distributed computing. His research also addresses practical challenges such as server-to-server integration, content similarity detection, and privacy in search logs. Notable contributions include methods for rapid community detection in dynamic networks and innovative approaches to content curation from social activity streams. While no awards are explicitly listed, his active publication record reflects sustained academic engagement in high-impact areas of informatics.

Alexandros NtoulasView profile

Assistant Professor

• Big Data Systems
• Web Search
• Social Network Analysis
• +5 more

Alexandros Ntoulas is an Assistant Professor at the National and Kapodistrian University of Athens, Department of Informatics and Telecommunications. He holds a Ph.D. and M.Sc. from UCLA, and prior industry experience at Microsoft Research, Zynga, Samsung Research, and LinkedIn, focusing on scalable Machine Learning for Big Data applications. He co-founded Infocious (now Piksel) and has served as Program Co-Chair for PAKDD 2020 and Track Chair for IEEE Big Data Congress 2017. Education: Ph.D. and M.Sc. in Computer Science, University of California Los Angeles (UCLA) MSc and Engineering Diploma, Computer Engineering and Informatics Department, University of Patras Research interests span Big Data systems for Web search, social networks, and scalable Machine Learning applications. Notable achievements include 15 patents and awards such as the Best Paper Award at ICDE 2005 and KDD 2017's Best Applied Data Science Reviewer Award. Teaching includes courses like Web Information Systems, Systems Programming, and Big Data Management at the University of Athens. He has also held invited lectureships at UC Berkeley, University of Patras, and the University of Patras' Mathematics Department. Awards highlight contributions to data science and search engine innovation, including recognition from academic foundations and industry peers.

Emiris IoannisView profile

Professor

• Computer Algebra
• Computational Geometry
• Computer-Aided Geometric Design
• +9 more

Emiris Ioannis is a Professor in the Department of Informatics & Telecommunications at the University of Athens. He holds a BScEng from Princeton University, MSc and PhD from UC Berkeley, and a Habilitation from the University of Nice Sophia Antipolis. His research focuses on computer algebra, computational geometry, robotics, bioinformatics, and fairness in AI. He has held tenured positions at INRIA, France, and has collaborated with institutions like ENS-Ulm, IHES, and the Ontario Research Center for Computer Algebra. His work bridges theoretical and applied areas, including structural bioinformatics, algorithm development, and machine learning. Notable contributions include tools for protein structure analysis (e.g., Hydraprot), explainable AI frameworks (GLANCE), and predictive models for renewable energy (wind speed forecasting). His research often intersects with interdisciplinary challenges in robotics, finance, and environmental sustainability. Emiris has organized international workshops and contributed to conferences like ISSAC. His publications span high-impact journals in computer science, mathematics, and bioinformatics. Despite no explicitly listed awards, his extensive academic contributions and leadership roles reflect his impact in theoretical informatics. His advising and grants focus on collaborative projects involving geometric algorithms, AI ethics, and data-driven decision systems. Research teams under his leadership often involve cross-disciplinary collaborations, addressing both fundamental and applied problems in computational science.

• 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.

Konstantinos TyrosView profile

Associate Professor

• Ramsey Theory
• Density Combinatorics
• Banach Space Geometry
• +2 more

Konstantinos Tyros is Associate Professor in Mathematics at the University of Athens, specializing in combinatorial analysis and Ramsey theory. His research connects density theorems in combinatorics with problems in Banach space geometry and probabilistic methods. Key contributions include density versions of combinatorial theorems (Carlson-Simpson, Hales-Jewett), structure theorems for stochastic processes on discrete cubes, and concentration inequalities for high-dimensional random arrays. His work on spreading models in Banach spaces reveals new structures in functional analysis. He has developed novel approaches to nonlinear spectral gaps and dual Ramsey theory for trees, while advancing the Moser-Tardos algorithmic framework. Honors include technical excellence awards from Greek academic institutions.

• 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.

• High-Performance Computing
• Parallel Processing
• Code Optimization
• +3 more

Georgios Goumas is an Associate Professor in the Division of Computer Science at the School of Electrical and Computer Engineering, National Technical University of Athens. His research focuses on high-performance computing, parallel systems, and efficient resource management for modern computing platforms. Research domains: Serverless computing scalability and memory management Quantum algorithm design for classification Virtual memory optimization Hardware acceleration for sparse computations NUMA-aware concurrent data structures Recent innovations include DaeMon for disaggregated systems, eBPF-based Linux memory management, and multi-GPU matrix multiplication optimizations. Publications demonstrate consistent advancement in low-level system efficiency across quantum, serverless, and heterogeneous computing domains. Dr. Goumas teaches undergraduate and graduate courses on Operating Systems, Parallel Processing, and Code Optimization Techniques. His lab develops open-source tools like Paralia runtime for auto-tuning linear algebra and FPGA-based accelerators for scientific computing.