Find Academic Supervisors

• Multidimensional Data Structures
• Decentralized Big Data Management Systems
• Spatio-Temporal Databases
• +8 more

Spyros Sioutas is a Professor at the University of Patras, Division of Computer Software, Department of Computer Engineering and Informatics. His research focuses on multidimensional data structures, decentralized big data management, spatio-temporal databases, distributed systems for cloud computing, and machine learning. His recent publications highlight trends in IoT systems, federated learning, TinyML, and NoSQL database optimization. Key areas include LoRa-based data transmission, graph embeddings for fraud detection, and energy-efficient distributed algorithms. He contributes to the academic community through leadership in the Division of Computer Software and collaboration with research labs such as the Database Laboratory and High-Performance Information Systems Laboratory at the University of Patras.

• Algorithm Engineering
• Efficient Algorithms and Data Structures
• Intelligent Computing & Engineering
• +11 more

Christos Zaroliagis is a Full Professor in the Department of Computer Engineering & Informatics at the University of Patras, Greece, where he serves as Head of the Intelligent Computing & Engineering Lab (ICE Lab). He is also a Senior Research Associate at the Computer Technology Institute & Press "Diophantus" in Patras. Previously, he held positions at the Max-Planck-Institut für Informatik in Saarbrücken, Germany, and the Department of Informatics at King's College, University of London, UK. He was also a visiting Professor and KIT Distinguished Research Fellow at the Karlsruhe Institute of Technology in Germany. Professor Zaroliagis specializes in algorithm engineering, optimization, decentralized computing, and cryptography & information security, with applications in large-scale networks and systems. His research has significant focus on mobility in smart cities, intelligent transportation systems, and big data analysis. He has published extensively in major international journals and conferences, and has served as editor for several academic journals including Algorithms, Journal of Discrete Algorithms, and ACM Journal of Experimental Algorithmics. His work spans both theoretical foundations and practical implementations, with numerous software libraries and systems developed under his leadership. His recent publications demonstrate continued innovation across cloud computing, intelligent transportation systems, decentralized computing, and big data analytics, showing a clear progression from foundational algorithm design to practical applications in smart city infrastructure. The research shows strong interdisciplinary connections between computer science, operations research, and urban planning. prize award 2012 for Academic and Scientific Excellence awarded by the Greek Ministry of Education KIT Distinguished Research Fellow Mercator Fellow Professor Zaroliagis leads the Intelligent Computing & Engineering Lab (ICE Lab), which has produced several significant software systems including PGL (graph algorithms library), ECC-LIB (cryptography library), Searchius (collaborative search engine), and iClone (social navigation system). His academic service includes heading the EURAXESS Services Center of the University of Patras and serving as National Contact Point for the FP7 PEOPLE Program - Mobility. He has been extensively involved in organizing international conferences and serving on program committees across computer science.

Hui LiView profile

Associate Professor

• Information Retrieval
• Data Mining
• Data Management
• +8 more

Hui Li is an Associate Professor in the Department of Computer Science and Technology at the School of Informatics, Xiamen University. He is affiliated with the Media Analytics & Computing Laboratory (MAC Lab) and holds a Ph.D. in Computer Science from the University of Hong Kong. Ph.D., Computer Science, University of Hong Kong His research centers on Information Retrieval, Data Mining, and Data Management, with a strong emphasis on Recommender Systems. Key areas include shilling attacks and defenses, bias analysis and debiasing, large language model-based recommendation, generative information retrieval, code retrieval, and multi-modal large language models. His work bridges theoretical innovation with practical applications in real-world platforms. His recent publications span top-tier journals and conferences such as IEEE TKDE, TNNLS, TOIS, KDD, SIGIR, AAAI, ACL, and ICLR. The publications demonstrate a consistent focus on robustness, fairness, and efficiency in recommender systems, increasingly integrating large language models and graph-based methods. Themes include adversarial attacks, self-supervised learning, and data augmentation using LLMs. Hui Li actively supervises graduate students, many of whom have published in CCF-A and CCF-B ranked venues. Notable students include Zhang Sheng, Liu Hao, and Li Lianyun. He has contributed to open science by releasing datasets like the Dianping datasets for sequential and social recommendation research. His work has practical implications in e-commerce, social platforms, and software engineering tools. He collaborates with industry partners such as Alibaba, Tencent, and Pinduoduo, where several of his students have been placed. His research is supported by publications in high-impact journals and participation in leading AI conferences.

• Algorithms and Complexity
• Graph Theory and Applications
• Computer Networks and Internet
• +3 more

Kavvadias Dimitris is an Assistant Professor in the Department of Mathematics at the University of Patras, specializing in Computational Mathematics and Informatics. His academic journey includes a B.Sc. in Electrical and Computer Engineering from the National Technical University of Athens (1983), M.Sc. in Computer Science from Columbia University (1984), and a Ph.D. in Computer Engineering & Informatics from the University of Patras (1989). He has been affiliated with the University of Patras since 1992, initially as a Lecturer and then as an Assistant Professor since 1997. His research focuses on Algorithms and Complexity, Graph Theory and Applications, Computer Networks, and Scientific Computing. He has contributed to numerous research projects, including studies on parallel algorithms, network reliability, and data mining. His work spans theoretical computer science and practical applications, with a strong emphasis on algorithm design and computational methods. Kavvadias has taught extensively at both undergraduate and postgraduate levels, covering courses such as Discrete Mathematics, Operating Systems, and Algorithm Analysis. He has supervised doctoral theses and diploma projects, including those of H. Staurovoulos and Angeliki Panagopoulou. His involvement in academic organizations includes roles in the ACM, EATCS, and the Hellenic Open University. His publications reflect expertise in hypergraph algorithms, transversal generation, and numerical root finding, with contributions to journals like SIAM and theoretical computer science forums. He has also participated in international conferences and served as a referee for prominent journals and events.

• Random Graphs
• Design and Average Case Analysis of Algorithms
• Evolutionary Dynamics on Graphs
• +1 more

Raptopoulos Christoforos is an Assistant Professor at the Department of Mathematics of the University of Patras , Greece. His academic qualifications include a Ph.D. (2009), M.Sc. (2005), and B.Sc. (2002) in Computer Engineering & Informatics from the same university. His research focuses on Random Graphs , Design of Algorithms , and Evolutionary Dynamics on Networks , with applications spanning computer science, probability theory, and computational biology. Key contributions include work on temporal graph algorithms, network majority determination, and evolutionary processes on graphs. His teaching portfolio covers Discrete Mathematics , Numerical Solutions of Ordinary Differential Equations , and Data Structures at the undergraduate level, alongside Algorithm Analysis and Data Structures for the MSc in Computational and Analytical Statistics in Data Science. While no specific scientific awards are listed, his 35+ publications since 2004 in journals like Theoretical Computer Science and Journal of Computer and System Sciences highlight his prolific output. He has collaborated extensively with Paul Spirakis, Sotiris Nikoletseas, and George Mertzios.

• Design and analysis of algorithms
• Graph algorithms
• Combinatorial optimization
• +3 more

Loukas Georgiadis is a Professor at the Department of Computer Science & Engineering, University of Ioannina, Greece. He has held previous academic positions including Assistant Professor at the University of Western Macedonia (2008-2011) and visiting roles at LUISS, Italy (2023-2024) and Università di Roma Tor Vergata (2016). His research focuses on design and analysis of algorithms , graph algorithms , combinatorial optimization , and computational geometry . Education includes a B.Sc. from the University of Patras (1999), M.A. and Ph.D. in Computer Science from Princeton University (2002, 2005). Professional experience includes roles at HP Laboratories (2007-2008) and the University of Aarhus (2005-2006). His recent work emphasizes faster algorithms for graph connectivity , fault-tolerant systems , and experimental algorithm analysis . He co-organized the 14th International Conference on Algorithms and Complexity (CIAC 2025) in Rome. Research trends include advancing linear-time algorithms for graph decomposition and exploring dynamic graph properties like dominators and low-high orders. Grants and advising details are not explicitly stated, but his visiting professorships and conference organizing roles highlight active collaborations. His research lab focuses on theoretical and applied aspects of algorithm design, with contributions to both foundational theory and practical implementations.

• Software Engineering
• IT Security
• Cloud Systems Engineering
• +3 more

Diomidis Spinellis is a Professor at the Department of Management Science and Technology, Athens University of Economics and Business. He is a leading researcher in software engineering, IT security, and cloud systems engineering, with over 300 publications and 10,000 citations. He has authored award-winning books including Code Reading , Code Quality: The Open Source Perspective , and Effective Debugging: 66 Specific Ways to Debug Software and Systems (2016). As a Senior Member of ACM and IEEE, he served as Editor-in-Chief of IEEE Software (2015–2018) and contributed to open-source tools like CScout, UMLGraph, and dgsh. Award-winning author in software engineering Developer of critical open-source tools Editorial leadership in IEEE Software Contributor to macOS and BSD Unix His research spans code quality, software evolution, security, and developer productivity. Articles highlight Unix modernization, AI-assisted coding, dependency analysis, and incident management. He has served on the IEEE Computer Society Board of Governors and holds degrees from Imperial College London (MEng, PhD). Scientific contributions include open-source datasets (e.g., VulinOSS, Alexandria3k) and innovative tools for software analysis. His work bridges academic research and industrial practice, with case studies on Eclipse, Android APIs, and ING’s incident management.

Panagiotis LiakosView profile

Researcher

• Graph Mining
• Large-scale Networks
• Data Compression
• +3 more

Panagiotis Liakos is a Researcher at the University of Athens (Department of Informatics and Telecommunications), specializing in graph mining for large-scale networks. He holds a Ph.D. in Distributed and Streaming Graph Processing (2015-2018), an M.Sc. in Computer Systems Technology (2008-2011), and a Ptychion in Informatics and Telecommunications (2004-2008), all from the University of Athens. His research focuses on developing scalable algorithms for graph processing, compression, and community detection in dynamic networks. Research interests include: Graph mining : Community detection, temporal graph analysis Large-scale systems : Distributed processing, cloud-based solutions Data optimization : Lossless compression, storage efficiency Stream processing : Real-time network analysis, dynamic algorithms His publications demonstrate strong focus on graph algorithms and data efficiency, with recent work on time-series compression (Chimp, Sim-Piece) and temporal graph processing. He has received multiple awards including: IEEE Big Data Travel Grants (2016, 2017) SIGIR Travel Grant (2016) WSDM Data Challenge 1st Place (2013) Greek State Scholarship (2006-2007) He has supervised 9 Master's students on topics spanning recommendation systems, MongoDB optimization, sports analytics, and traffic modeling. Contributed to European projects including GALENA, Interact, EarthServer, iMarine, and PERNASVIP. Leads the Hive Server project for distributed services and teaches Large Scale Data Management .

D. TsoumakosView profile

Associate Professor

• Big Data Management Systems
• Distributed Systems
• Large-Scale Computing
• +6 more

D. Tsoumakos is an Associate Professor of Big Data Management Systems at the School of Electrical and Computer Engineering, National Technical University of Athens (NTUA). He serves as Director of the Knowledge and Database Systems Laboratory (DBLab) and holds a Ph.D. and M.Sc. in Computer Sciences from the University of Maryland (2006, 2002), with a Diploma in Electrical and Computer Engineering from NTUA (1999). Research Interests: Large-scale distributed systems, Big Data management, algorithmic optimization, cloud computing elasticity, resource scheduling. Funded Projects: RELAX (2023-2027), HiDALGO2 (2023-2026), DAPHNE (2021-2024), HiDALGO (2018-2021), TraMOOC (2015-2018), ASAP (2014-2017), CELAR (2012-2015), ARCOMEM (2010-2013), GREDIA (2006-2009). Teaching: Databases (NTUA, 2022-2024), Advanced Topics in Databases (2021-2023), Big Data Management (2014-2020, Ionian University), Cloud Computing (2018-2021). Publication Trends: Recent work focuses on vector embeddings for analytics modeling, multi-engine distributed systems, cloud elasticity, graph analytics optimization, and error-driven data synopses. Keywords reflect expertise in Big Data, Machine Learning, Cloud Computing, and Distributed Systems. Best Paper Runner Up Award at SSDBM 2019 Best Paper Award at CCGrid 2013 Research Projects & Tools: Developed systems like ARMADA (Analytics Performance), AURA (Cloud Deployment), IReS Platform (Resource Scheduling), MuSQLE (SQL Execution), H2RDF+ (RDF Data Management), and TIRAMOLA (Elastic NoSQL).

Georgios MeditskosView profile

Assistant Professor

• Symbolic Artificial Intelligence
• Semantic Web
• Knowledge Representation and Reasoning
• +5 more

Georgios Meditskos is an Assistant Professor at the Department of Informatics, Aristotle University of Thessaloniki , where he has worked since 2021. Previously, he was a postdoctoral researcher at the Information Technologies Institute (ITI), CERTH (2012–2021) and a lecturer at multiple Greek institutions. Education: PhD (2009), MSc (2007), and BSc (2004) in Informatics from Aristotle University of Thessaloniki. His research focuses on Symbolic AI and Semantic Web technologies, including: Knowledge representation and reasoning (RDF/OWL, rule-based ontology reasoning) Combination of Description Logic and rule paradigms for scalable reasoning Semantic Web services (discovery, composition) Context-based multi-sensor reasoning and data fusion in pervasive environments His publications (over 100) span topics like: Rule-based OWL reasoning systems (e.g., O-DEVICE, DLEJena) Semantic data fusion for healthcare monitoring Hybrid frameworks combining ontologies with production rules Contact details: Office: New Building of School of Sciences, Office 4.18, Aristotle University of Thessaloniki Email: gmeditsk@csd.auth.gr Phone: +30 2310998896

Leonidas TzevelekasView profile

Researcher

• Wireless Sensor Networks
• Energy-Efficient Networking
• Social Networking Platforms
• +3 more

Dr. Leonidas Tzevelekas is a Researcher at the Advanced Networking Research Group (ANR) within the Department of Informatics and Telecommunications at the National and Kapodistrian University of Athens. He holds a PhD in Informatics and Telecommunications from NKUA (2010), with a focus on energy-efficient networking algorithms, and maintains strong ties to both academic and industry telecommunications sectors. Education: Diploma in Physics (NKUA, 2000), MSc in Communications Engineering (TUM, 2002) Current Research: User-provided information collection/analysis in large-scale social networking platforms His publications since 2005 demonstrate consistent contributions to wireless sensor network optimization through techniques like random walks, jump-based mobility, and clustering algorithms. Notably, his work bridges theoretical research with practical telecom sector applications.

Ioannis PratikakisView profile

Professor

• Computer Vision
• 3D Image Processing
• Document Image Analysis
• +3 more

Ioannis Pratikakis serves as a Professor in the Department of Electrical and Computer Engineering at Democritus University of Thrace (DUTH), where he has held a faculty position since 2010. Previously, he worked as a collaborating researcher at the Institute of Informatics and Telecommunications of NCSR 'Demokritos' (2003-2010) and completed postdoctoral research at IRISA/INRIA in Rennes, France until 2000. His academic background includes a PhD in digital 3D image processing and analysis from the Vrije Universiteit Brussel (Belgium), awarded in January 1999. Pratikakis's research spans computer vision, 3D image processing, and document analysis, with core expertise in 2D/3D image sequence analysis, pattern recognition, and multimedia information retrieval. His work bridges theoretical computer vision with practical applications in cultural heritage preservation, medical imaging, and human-computer interaction. Analysis of his publication trends reveals sustained innovation in 3D vision systems, particularly in human action recognition from mesh sequences, facial expression analysis, and unsupervised methods for historical document processing. Recent work increasingly integrates deep learning for medical diagnostics while maintaining strong contributions to cultural heritage digitization. He actively leads research through major projects including μtS (historical manuscript transcription), READ (archival document enrichment), and TRANSCRIPTORIUM (handwritten document recognition), alongside European initiatives like H2020-EINFRA-9-2015 and FP7-ICT frameworks. Pratikakis directs research activities within DUTH's Electrical Circuits, Signal and Image Processing Laboratory, mentoring students through undergraduate courses (Computer Vision, Computer Graphics) and postgraduate instruction (Digital Video Editing, 3D Graphics). His professional engagement includes senior IEEE membership, Technical Chamber of Greece affiliation, and leadership in the Hellenic Society for Artificial Intelligence (2010-2014).

Katia PapakonstantinopoulouView profile

Teaching Professor

• Network Analysis
• Game Theory
• Algorithms
• +4 more

Katia Papakonstantinopoulou serves as a Teaching Professor and Researcher in the Department of Informatics at Athens University of Economics & Business (AUEB). She is an active member of the network analysis group and the Theory, Economics and Systems Laboratory (Main Building, Antoniadou wing, 4th floor), and contributes to the 5G-VINNI research project. Her academic credentials include: B.S. in Informatics and Telecommunications (University of Athens) M.Sc. in Advanced Information Systems (University of Athens) Ph.D. in Computer Science (University of Athens, supervised by Prof. Elias Koutsoupias) Her research integrates Game Theory for modeling selfish network behavior and Information Theory for compact network representations. Current work spans social network analysis, epidemic spread prediction using graph ML, and time series/graph compression techniques. She has significantly advanced lossless floating-point compression (CHimp/Chimp systems) and temporal graph compression. Recent publications (2022-2024) reveal strong focus on data compression efficiency for time-series databases and epidemic modeling, while earlier work (2016-2020) established foundations in community detection and distributed graph processing. Her research consistently bridges theoretical algorithms with practical network applications. Her scientific recognition includes: Doctoral Scholarship from the Greek State Scholarships Foundation She mentors students through research projects in algorithms and network analysis, particularly in the Master of Science in Data Science program (ranked 14th globally in Big Data Management by Eduniversal 2019). Her teaching portfolio includes graduate courses in Social Network Analysis and Algorithms, plus undergraduate instruction in core CS subjects. Her research operations center on the Theory, Economics and Systems Laboratory where she develops compression algorithms and network models, with recent work supporting 5G network slicing economics through the 5G-VINNI project.

Yannis KotidisView profile

Professor

• Data Management
• Sensor Networks
• Complex Event Processing
• +4 more

Yannis Kotidis is a Professor at the Department of Informatics of the Athens University of Economics and Business (AUEB). He holds a Diploma in Electrical Engineering and Computer Science from the National Technical University of Athens (1995), and an M.Sc. (1997) and Ph.D. (2000) in Computer Science from the University of Maryland. Prior to joining AUEB, he worked as a Senior Technical Specialist at AT&T Labs-Research (1995–2006). Research Interests: Data Management, Sensor Networks, Complex Event Processing, Blockchain Technology, Time Series Analysis, and Distributed Systems. Projects: Led initiatives like DBSENSE (sensor network data management), RECOST (real-time stream processing), and INFORE (cross-platform analytics). Collaborated on Smart-Views (blockchain-based OLAP systems) and EasyFlinkCEP (streaming analytics). Recent publications focus on HPC resource allocation (RATS), time-series compression (Chimp/Sim-Piece), and decentralized data management using blockchain. His work emphasizes scalable solutions for big data challenges in distributed and sensor environments. Collaborations include teams at Siemens and Statoil, and academic partnerships addressing semantic data integration. He contributes to open-source tools like FlinkCEP, enhancing accessibility of big data analytics.

• Data Mining
• Machine Learning
• Clustering Algorithms
• +5 more

Professor Michalis Vazirgiannis is affiliated with the Informatics Department at Athens University of Economics and Business (AUEB). He holds a PhD in Informatics from the National and Kapodistrian University of Athens (1994), with prior degrees in Physics, Robotics, and Knowledge-Based Systems. His research focuses on data mining, machine learning, clustering algorithms, and web mining. He has led EU-funded projects like SQO-OSS and NGWeMiS, and contributed to initiatives like DB-GLOBE and I-KnowUMine. Awards include ERCIM Post-Doctoral Scholarship (2001) and Marie Curie Fellowship (2006). He serves on editorial boards (e.g., IDA Journal) and program committees for conferences like IEEE/ICDM and ECML/PKDD. His work spans theoretical advancements and practical applications in distributed systems, semantic networks, and temporal graph analysis. Education: BSc Physics, NKUA (1986) MSc Robotics, NKUA (1988) MSc Knowledge-Based Systems, Heriot-Watt University (1989) PhD Informatics, NKUA (1994) Research interests include semi-supervised learning, page ranking, and distributed feature selection. His publications address clustering frameworks, peer-to-peer systems, and normalized PageRank for evolving graphs. He has contributed to patents and held visiting researcher positions at INRIA, Fraunhofer, Max Planck, and IBM India.