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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.

• Combinatorics
• Functional Analysis
• Ramsey Theory
• +5 more

Pandelis Dodos is a Professor in the Department of Mathematics at the National and Kapodistrian University of Athens, Greece. His research focuses on combinatorics, functional analysis, and their intersections, particularly Ramsey theory, Banach space geometry, and descriptive set theory. He holds a PhD from the National Technical University of Athens (2003) and a Habilitation à Diriger des Recherches from Université Pierre et Marie Curie (2009). His work bridges analysis and combinatorics, addressing problems in nonlinear spectral gaps, forbidden intersection configurations, and high-dimensional random arrays. He leads the ANACOMB project (Hellenic Foundation for Research and Innovation), exploring combinatorial problems via analytical methods. Notable collaborations include researchers such as V. Kanellopoulos, K. Tyros, and S. Todorcevic. His contributions include monographs on Ramsey theory and Banach spaces, as well as over 50 peer-reviewed articles. Education: MSc Electrical Engineering (NTUA, 1997) PhD Mathematics (NTUA, 2003) Habilitation (UPMC Paris 6, 2009) His research projects include the ANACOMB initiative, investigating density Hales-Jewett conjectures and concentration inequalities. He advises PhD candidate Stamatis Skouras and collaborates with institutions like Texas A&M and Charles University. His work frequently intersects with theoretical computer science and probability theory. Awards: None explicitly listed, but recognized through extensive international collaboration and editorial roles in journals like Mathematische Annalen and Transactions of the AMS . Grants & Labs: ANACOMB (HFRI-FM20-02717), leading a multinational team addressing analytic combinatorics. Active in organizing workshops like COMPRAAthens 2024 .

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.

• Operations Research
• Optimization
• Game Theory
• +5 more

Evangelos Magirou is a Professor of Operations Research at the Department of Informatics, Athens University of Economics and Business (AUEB) since 1986. He holds a B.S. in Electrical Engineering from Princeton University (1971), M.S. and Ph.D. in Decision and Control Sciences from Harvard University (1976). His research focuses on theoretical and applied operations research, optimization, game theory, and their applications in finance, shipping, and energy policy. Education: B.S. Electrical Engineering, Princeton University (1967-71) M.S. Decision and Control Sciences, Harvard University (1971-72) Ph.D. Decision and Control Sciences, Harvard University (1972-76) Research Interests: Theoretical and applied operations research, optimization techniques, game theory applications in transportation and energy, quantitative methods in shipping economics, and policy analysis. Notable projects include stochastic vessel positioning models, strategic petroleum reserve optimization, and spam email game theory. Professional Roles: Member of the Governing Board of Public Power Corporation S.A. (since 2004) Chairman of the Faculty Union of AUEB (1994-present) Deputy Chairman, Department of Informatics (2003-present) Key Contributions: Over 30 peer-reviewed publications spanning operations research, control systems, and maritime logistics. Active in academic leadership roles and policy advisory committees.

Konstantinos SkianisView profile

Assistant Professor

• Natural Language Processing
• Machine Learning
• Deep Learning
• +14 more

Konstantinos Skianis is an Assistant Professor in the Department of Computer Science and Engineering at the University of Ioannina, Greece. His research lies at the intersection of Natural Language Processing, Machine Learning, Deep Learning, and Data Science, with a focus on representations, regularization, robustness, and reasoning (the 4R's). He has founded the Greek AI company BLUAI and co-founded PrimeHost AI, a startup automating guest conversations using AI. Ph.D. in Computer Science, École Polytechnique, France (2015–2019) M.Sc. in Math, Computer Vision, and Machine Learning, École Normale Supérieure de Cachan, France (2014–2015) B.Sc. in Computer Science, Athens University of Economics and Business, Greece (2013) His research interests span Natural Language Processing , Graph Neural Networks , Large Language Models , Representation Learning , and Medical AI . He investigates robustness in neural networks, reasoning with LLMs via pseudo-code, and multilingual applications in low-resource settings like Greek. His recent work includes digital twins for industrial optimization, climate adaptation in ports using ML, and mental health detection via LLMs. The 15 most recent publications reflect a strong trend in graph-based learning , LLM reasoning , representation robustness , and applied AI in healthcare and industry . His work combines theoretical rigor with practical applications, often involving real-world datasets from public health, industrial processes, and climate science. Best Paper Award, TextGraphs at NAACL 2018 OpenAI Researcher Access Program (2024) He has advised or collaborated on several student projects and competitions, including the Data Mining Cup and Kaggle challenges. He has secured research support through the OpenAI credits program. He has taught courses in Linear Algebra, Data Mining, and advanced labs on graph and text learning at ENS Paris-Saclay. He is actively involved in the research community as an Area Chair for ARR (2025) and reviewer for top-tier venues like NeurIPS, ICLR, ACL, and EMNLP. He leads or contributes to open-source tools such as GoWvis (text visualization), GraKeL (graph kernel library), and SpreadViz (influence spread visualization). His work on Greek NLP resources has helped advance language technology for low-resource languages.

Bernhard ScholzView profile

Professor

• Programming Languages
• Compilers
• Static Analysis
• +4 more

Bernhard Scholz is a Professor at the University of Sydney's School of Computer Science. His research focuses on programming languages, compilers, static analysis, and blockchain technologies, with significant contributions to Datalog optimization and smart contract security. He teaches COMP3109 Programming Languages and Paradigms and leads research in declarative programming frameworks. Scholz's primary research interests include: Development of Soufflé, a Datalog-based program analysis framework Ethereum smart contract security through tools like Ethainter and MadMax Parallel data structures for efficient Datalog evaluation Compiler optimizations for embedded systems and cloud environments His recent publications demonstrate a consistent focus on improving the efficiency and security of declarative programming systems, particularly through innovations in Datalog execution and smart contract analysis. This work bridges theoretical computer science with practical applications in blockchain and distributed systems. Scholz has secured research funding including an ARC Discovery Project on adaptive key-value stores and a Fantom Operations grant for smart contract toolchain development. He collaborates with international researchers on parallel computing and blockchain verification projects.

Mira MeziniView profile

Professor

• Software development paradigms and tools
• Programming systems for reliable distributed software
• Automated software analysis
• +3 more

Mira Mezini is a Professor of Computer Science at the Technical University of Darmstadt, Germany, leading the Software Technology Lab. She serves on steering committees, program committees, and editorial boards of top-tier conferences and journals. Her affiliations include the National Research Center for Applied Cybersecurity ATHENE and co-directorship of hessian.AI, the Hessian Center for Artificial Intelligence. Her research focuses on programming systems for reliable distributed software and AI, automated software analysis, and foundational code models. She has developed large-scale module concepts for adaptability, extensible programming languages, and intelligent software development environments that leverage web-based resources to generate programming rules and patterns. Specializes in software engineering Expert in programming language design Contribution to cybersecurity and AI Her recent work emphasizes static analysis, distributed systems, and programming language design, with trends in API misuse detection, decentralized applications, and secure local-first programming. The focus spans from foundational type systems to practical tools enhancing software quality and developer productivity. Scientific Awards Two-time IBM Eclipse Innovation Award recipient (2005, 2006) Google Research Award (2017) Horst Görtz IT Security Award (2014) ERC Advanced Grant (2012) ACM Fellow Dahl-Nygaard Prize (2025) She has held leadership roles including Dean of Computer Science at TU Darmstadt (2013-2014) and Vice President positions (2014-2019). Her service extends to international juries, funding panels, and editorial boards. Labs & Teams Leads the Software Technology Lab at TU Darmstadt, driving research in programming paradigms and tools. Co-directs hessian.AI and contributes to the Excellence Cluster 'Reasonable Artificial Intelligence.'

Panagiotis NastouView profile

Assistant Professor

• Secure Discrete Systems Modeling
• Graph Theory
• Cryptography
• +5 more

Panagiotis Nastou is an Assistant Professor at the Department of Mathematics , University of the Aegean , with research interests in Secure Discrete Systems Modeling, Graph Theory, Cryptography, Design and Analysis of Algorithms , and Complexity Theory . He has been active in teaching courses such as Discrete Mathematics and Cryptography since 2007 and serves as Director of the Applied Mathematics and Mathematical Modeling Laboratory since 2019. Education : Ph.D., MSc., and BSc. in Computer Engineering and Informatics from Patras University. Membership : Center for Applied Optimization (University of Florida), GDPR TEAM, IEEE, ACM, and Hellenic Technical Chamber. His research bridges theoretical computer science and applied security, focusing on cryptographic protocols, algorithm design, and the application of discrete mathematics to real-world problems. He has contributed to the development of secure systems for critical infrastructure and privacy-preserving frameworks in smart cities. Recent publications (2021-2025) emphasize malware evasion , quantum cryptanalysis , and privacy in IoT environments , utilizing formal methods and combinatorial structures. His work also extends to deep learning for document analysis and consensus algorithms in social networks . He has supervised numerous Master's and undergraduate theses in areas like Zero-Knowledge Proofs , Neural Networks , and Cryptographic Boolean Functions . Administrative roles include representation in the ERASMUS+ program and participation in EU-funded project evaluations.

Panagiota TselentiView profile

Lecturer

• Artificial Intelligence
• Data Mining
• Information Retrieval
• +5 more

Panagiota Tselenti is a Lecturer in the Department of Informatics and Computer Engineering at the University of West Attica. She holds a PhD in Computer Science from Kingston University (UK, 2017), specializing in artificial intelligence algorithms, social network analysis, and recommender systems. Her teaching spans undergraduate and postgraduate programs since 1995, covering Robotics, Artificial Intelligence, Information Retrieval, and Natural Language Processing. She actively contributes to the Lab Teaching Staff, integrating academic rigor with practical applications. Her research focuses on artificial intelligence, data mining, and robotics, with notable work on trust-based recommendation systems and fuzzy logic methodologies. Education: PhD in Computer Science (Kingston University, UK, 2017) MSc in Data Communication Automation Engineering (BSc) Research interests include Recommender Systems, Social Network Analysis, Knowledge Management, and Robotics. Her work bridges machine learning techniques with real-world applications in education and energy systems. Recent publications explore trust models, deep learning for electric load forecasting, and policy development in maritime education using fuzzy cognitive maps. Her teaching spans over two decades, emphasizing both theoretical foundations and hands-on experience in informatics disciplines. Professional contributions are documented in her CV and personal website.

• Computational Complexity
• Graph Algorithms
• Distributed Algorithms
• +4 more

Roles and Affiliations: Aristides Pagourtzis is a Professor at the School of Electrical and Computer Engineering of the National Technical University of Athens (NTUA), leading the Computer Science Division. He also serves as Lead Researcher at the Archimedes Research Center (Athena RC) and heads the Computation and Reasoning Laboratory (CORELab). His academic career includes positions at institutions like the University of Liverpool and ETH Zürich. Education: Ph.D. in Electrical and Computer Engineering (1999) and Diploma in Electrical Engineering (1989), both from NTUA. Research Interests: Computational Complexity, Graph Algorithms, Distributed Algorithms, Cryptography, and Network Algorithms. Teaching: Teaches courses such as Algorithms and Complexity, Cryptography, and Advanced Topics in Theoretical Computer Science. Courses span undergraduate and postgraduate levels, emphasizing foundational and applied computer science concepts. Publications & Grants: Over 80 publications in journals like Theoretical Computer Science and conferences like CIAC and FCT. His research has been funded by grants from the US, EU, and national resources. Notable contributions include work on approximation algorithms, distributed computing, and cryptographic protocols. Service & Leadership: Served as co-chair for CIAC 2017 and FCT 2021. Active in academic service, organizing workshops and participating in committees for conferences such as IWOCA and ACM. Labs & Teams: Leads the CORELab, focusing on theoretical computer science and its applications. Collaborates on projects involving algorithm design, complexity analysis, and secure systems.

Panagiotis KaterinisView profile

Professor

• Graph Theory
• Computational Geometry
• Graph Factors
• +3 more

Panagiotis Katerinis is a Professor at Athens University of Economics and Business (AUEB). He holds a Bachelor's, Master's, and Ph.D. in Mathematics from the University of London. His research focuses on Graph Theory, particularly graph factors existence, computational geometry, and related structural properties of graphs. Primary research interests include exploring conditions for factor existence in graphs (e.g., k-factors), graph toughness, binding numbers, and computational geometry applications. His work combines theoretical proofs with combinatorial analysis. Key publications span topics like minimum degree requirements for f-factors (2000), cubic graph toughness characterization (1994), and foundational studies on graph binding numbers (1987). Though no explicit awards are noted, his contributions to graph theory are evident through his publication record. Contact: pek@aueb.gr , Office at Kodrigktonos 12, 4th floor.

• 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.

Charis PapadopoulosView profile

Professor

• Theoretical Computer Science
• Design and Analysis of Algorithms
• Graph Algorithms
• +5 more

Charis Papadopoulos is a Professor at the Department of Mathematics, University of Ioannina, Greece. He holds a PhD in Computer Science (2005) and MSc (2001) from the University of Ioannina, and conducted postdoctoral research at the University of Bergen, Norway (2005-2007). His academic activities include visiting researcher positions at the University of Ioannina (2008-2010) before joining the faculty in 2011. Education: MSc and PhD in Computer Science, University of Ioannina Postdoc: Algorithms Research Group, University of Bergen (2005-2007) His research interests focus on Theoretical Computer Science, particularly: Design and analysis of algorithms Algorithmic graph theory Graph modification problems Width parameters and graph layouts Combinatorial enumeration Algorithm engineering Recent publications address structural parameterization of cluster deletion, subset feedback vertex set problems, avoidable vertex/path enumeration, and connectivity-preserving subgraphs. His work spans both journal publications (e.g., Algorithmica , Theory of Computing Systems ) and conference proceedings (e.g., WALCOM , SODA ). He has served on program committees for major conferences including: CIAC 2025 EuroCG 2025 WADS 2023 WALCOM 2023 Current projects include FANTA (Efficient Algorithms for Network Analysis) funded by H.F.R.I. and Separators and Cut Problems under HFRI grants. He has supervised PhD and Master's dissertations and collaborated with European research institutions.