جست‌وجوی استاد و پژوهشگر

• Data Mining
• Machine Learning
• Graph Mining
• +۹ مورد دیگر

Michalis Vazirgiannis is a Professor in the Department of Informatics at the Athens University of Economics and Business (AUEB), specializing in data mining and machine learning with applications in web and social network analysis. His work bridges theoretical algorithms and real-world scalability challenges. Education: Bachelor Degree in Informatics, National and Kapodistrian University of Athens, 1986 Master (M.Sc.) in Robotics, National and Kapodistrian University of Athens, 1988 Master (M.Sc.) in Knowledge Based Systems, Heriot Watt University, Edinburgh, 1989 Ph.D. in Informatics, National and Kapodistrian University of Athens, 1994 Research Focus: Professor Vazirgiannis pioneers clustering algorithms with subjective/objective validation, distributed feature selection for evolving graphs, and temporal link analysis for dynamic page ranking. His research addresses critical gaps in semi-supervised learning for large-scale web and social networks, emphasizing dimensionality reduction and ranking predictability in temporal contexts. Publication Trends: His 2007-dominated publications reveal a strategic shift toward graph-based web mining, with recurring themes of distributed processing (P2P similarity search), clustering validity frameworks, and semantic web personalization. The work consistently targets scalability bottlenecks in real-world network data. Scientific Recognition: ERCIM Post-doctoral Scholarship (2001) Marie Curie European Scholarship (2006) Leadership & Collaboration: As ERASMUS coordinator for AUEB's Informatics Department and editorial board member of Intelligent Data Analysis journal, he bridges academia and industry. His EU project leadership (FP6 SQO-OSS, Marie Curie NGWeMiS) and program committee roles (IEEE/ICDM 2008, ECML/PKDD 2008) highlight his influence in data mining standardization. International collaborations span INRIA, Fraunhofer, Max Planck, and IBM Research. Technical Innovation: His patent contributions and invited lectures at ECML/PKDD 2006/SIAM/SDM 2006 demonstrate applied impact, particularly in web personalization engines (SEWeP) and evolving graph analytics.

Panagiotis Stamatopoulosمشاهده پروفایل

استادیار

• Artificial Intelligence
• Constraint Programming
• Logic Programming
• +۹ مورد دیگر

Panagiotis Stamatopoulos is an Assistant Professor at the Department of Informatics and Telecommunications, National and Kapodistrian University of Athens, where he has been employed since 1993. He holds a PhD in Computer Science (1988) and a Diploma in Physics (1982) from the University of Athens. His research spans artificial intelligence, constraint programming, natural language processing, machine learning, and optimization. Specific interests include: Hybrid approaches combining constraint programming with operations research Natural language understanding for database access Parallel processing and distributed constraint solving Multi-agent systems and web intelligence applications His publications show consistent focus on constraint satisfaction algorithms, text summarization techniques, educational timetabling systems, and AI applications in diverse domains like sports analytics and robotics. Recent works demonstrate increased attention to NLP evaluation metrics and multimodal learning. He has supervised numerous diploma theses and led projects funded by the European Union (EDS, APPLAUSE, PARACHUTE, PARROT), University of Athens, and Olympic Airways. Stamatopoulos teaches undergraduate courses in Introduction to Programming and Logic Programming, plus postgraduate courses in Advanced Artificial Intelligence. He previously taught Artificial Intelligence, System Programming, and Expert Systems.

Anastasios Gounarisمشاهده پروفایل

استاد

• Distributed Databases
• Autonomous data processing
• Big Data Management
• +۷ مورد دیگر

Anastasios Gounaris is a Professor at the Department of Informatics, Aristotle University of Thessaloniki, where he has been a faculty member since April 2008. He previously served as a Visiting Lecturer at the University of Cyprus (2007-2008) and held research positions at the University of Manchester and CERTH. His academic journey includes a PhD from the University of Manchester (2005), an MPhil from UMIST (2002), and a degree in Electrical and Computer Engineering from Aristotle University of Thessaloniki (1999). His research spans Distributed Databases, Autonomous Data Processing, Big Data Management, Workflow Optimization, and Data Mining . He has made significant contributions to large-scale data management systems, massive parallelism techniques, and business process analytics. His work bridges theoretical computer science with practical industrial applications, particularly in predictive maintenance and edge computing environments. His recent publications (2024-2025) demonstrate a strong focus on process mining, anomaly detection, predictive maintenance systems, and edge analytics . These works address critical challenges in handling evolving data streams, optimizing task allocation in resource-constrained environments, and developing parameter-free algorithms for real-world applications. His research shows consistent progression from foundational database systems work to cutting-edge applications in industrial IoT and healthcare analytics. Dr. Gounaris has successfully supervised numerous PhD students to completion, including Athanasios Naskos (2017), Georgia Kougka (2017), Christos Bellas (2022), Theodoros Toliopoulos (2022), Anna-Valentini Michailidou (2023), Ioannis Mavroudopoulos (2024), and Konstantinos Varvoutas (2025). His research has been supported by multiple national and European projects including DataflowOpt, PRECognition, NavGreen, CUREX, Rainbow, Lifechamps, and Trineflex. He is an active member of Datalab (formerly Delab) and has contributed to industry applications through collaborations with companies such as Comidor, Gnomon, Istognosis, Atlantis, AFS, Follow-Apps, Sboing, and Upcom. His work demonstrates a strong commitment to transferring research results to real-world applications while maintaining academic rigor.

• Power Systems
• Microgrids
• Smart Grids
• +۴ مورد دیگر

Kyriakou Dimitra serves as an Assistant Professor in the School of Electrical and Computer Engineering at the Technical University of Crete. She is affiliated with the Electrical Power Systems Laboratory and contributes to the Quality Assurance Unit (MODIP), maintaining an office in room 141A-22 of the Science Building (IMMY) on the 1st Floor. Her contact details include email dkyriakou@tuc.gr and phone 282103 7213. Her research focuses on advanced power systems engineering, specializing in microgrid operation, renewable energy integration, and smart grid technologies. Key areas include optimal energy management for interconnected microgrids, real-time control of building prosumers, and integration of plug-in electric vehicles. Her work addresses critical challenges in sustainable energy systems, demand response optimization, and active distribution network modernization through constraint-aware load shifting and multi-agent control systems. Analysis of her 2022-2025 publications reveals a strong emphasis on operational optimization for energy communities, with consistent exploration of real-time management techniques for building prosumers within microgrid frameworks. Her research trajectory demonstrates increasing sophistication in handling grid interconnection challenges, market integration mechanisms, and frequency stability solutions for urban microgrid applications. As a core member of the Electrical Power Systems Laboratory, she contributes to advancing research in electrical power infrastructure modernization, with particular focus on scalability solutions for large-scale building complexes and sustainable integration of distributed energy resources.

Charalampos Papadakisمشاهده پروفایل

استادیار

• Distributed Services and Networks
• Parallel and Distributed Systems
• Peer Systems
• +۴ مورد دیگر

Dr. Charalampos Papadakis is an Assistant Professor at the Department of Electrical and Informatics Engineering, Hellenic Mediterranean University. His academic journey includes a PhD in Computer Science from the University of Crete, an undergraduate degree in Computer Science from the same institution, and an MSc in Computer Engineering from the University of Patras. Research Interests: His work spans Distributed Services and Networks , Parallel and Distributed Systems , Peer Systems , Large-Scale Distributed Systems , Computer Networks , Recommender Systems , and Graph Analysis . With over 500 citations and an h-index of 8, his contributions focus on distributed systems and network technologies. Contact: (+30) 2810 379119 Email: adanar@hmu.gr Office Hours: Wednesday 11:00–13:00

Verropoulou Georgiaمشاهده پروفایل

استاد

• Demography
• Public Health
• Sociology
• +۵ مورد دیگر

Georgia Verropoulou is a Professor in the Department of Statistics and Insurance Science at the University of Piraeus, and currently serves as Vice-Rector for International Relations and External Relations. She holds a Ph.D. in Demography (1998, London School of Economics), an M.Sc. in Demography (1991, LSE), and a Mathematics Diploma (1989, University of Crete). Her research focuses on demographic transitions, migration impacts, health disparities, and socioeconomic determinants of health outcomes. Key areas include fertility patterns, mortality rates, aging populations, and the interplay between economic crises and health. She has published extensively on topics such as maternal health among immigrant populations, the effects of childhood adversity on depression, and cross-national comparisons of welfare systems. Her work bridges demographic analysis with public health policy, emphasizing the role of socioeconomic factors in shaping population dynamics. She is actively engaged in university administration, contributing to international collaboration and institutional strategy. Her academic career includes teaching and research in Greece and abroad, with a focus on applying statistical methods to demographic challenges. She has explored topics such as self-rated age, subjective survival probabilities, and the demographic consequences of crises, offering insights into health inequality and aging populations. Her publications often combine large-scale data analysis with policy relevance, addressing issues like migrant fertility in Greece and the implications of wealth distribution for mental health in Europe.

• Multidimensional Data Structures
• Decentralized Big Data Management Systems
• Spatio-Temporal Databases
• +۸ مورد دیگر

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
• +۱۱ مورد دیگر

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.

Peter O'Hearnمشاهده پروفایل

استاد

• Separation Logic
• Program Verification
• Static Analysis
• +۵ مورد دیگر

Peter O'Hearn is a Professor of Computer Science at University College London and Research Scientist at Meta AI (FAIR), renowned for co-developing separation logic which bridges theoretical computer science and industrial-scale program analysis. His dual affiliation exemplifies the synergy between academic research and practical tool development that characterizes his career. His research interests focus on program verification , separation logic , static analysis , and his recent groundbreaking work on incorrectness logic as a complementary approach to traditional verification. O'Hearn pioneered the concept of local reasoning which enables modular verification of large codebases by focusing only on relevant memory regions, forming the theoretical foundation for Facebook Infer. His publications reveal a consistent trajectory from foundational theory to industrial application, with recent work emphasizing Scalable verification for million-line codebases Compositional reasoning for concurrent systems Practical deployment of formal methods in developer workflows Bug-oriented reasoning through incorrectness logic His research consistently addresses the tension between theoretical soundness and practical applicability in program analysis. Notable scientific awards include: 2021 IEEE Cybersecurity Award for Practice 2016 Gödel Prize for separation logic 2016 CAV Award for outstanding contributions POPL 2019 Most Influential Paper Award Fellow of the Royal Society (FRS) Fellow of the Royal Academy of Engineering (FREng) O'Hearn has made substantial contributions to industrial practice through Facebook Infer, which analyzes millions of lines of code daily across Meta's codebase. His work on continuous reasoning integrates formal verification into developer workflows, while his recent focus on incorrectness logic addresses the critical need for effective bug detection in large systems. He maintains active leadership in the programming languages community through conference organization and keynotes.

Evangelos Bampasمشاهده پروفایل

دانشیار

• Distributed Algorithms
• Mobile Agent Computing
• Network Verification
• +۲ مورد دیگر

Evangelos Bampas is an Associate Professor at Université Paris-Saclay, specializing in distributed systems, mobile agent algorithms, and network optimization. His research addresses fault tolerance, resource allocation, and computability in large-scale networks. He developed algorithms for energy-constrained robots and optical network routing, with publications in Theoretical Computer Science and Algorithmica.

Panagiotis Liakosمشاهده پروفایل

پژوهشگر

• Graph Mining
• Large-scale Networks
• Data Compression
• +۳ مورد دیگر

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 .

Stathes P. Hadjiefthymiadesمشاهده پروفایل

استاد

• Distributed computing
• Mobile and pervasive computing
• Networked multimedia
• +۳ مورد دیگر

Stathes P. Hadjiefthymiades is Professor at the Department of Informatics and Telecommunications of the National and Kapodistrian University of Athens, where he leads research on large-scale software systems and heads the M.Sc. programme “Management and Economics of Telecommunication Networks and Information Systems”. Since 2002 he has held continuous faculty appointments, previously serving as Assistant Professor at the Hellenic Open University and as Visiting Assistant Professor at the University of the Aegean. Education: B.Sc. (honours) in Computer Science, University of Athens, 1993 M.Sc. (honours) in Computer Science (Advanced Information Systems), University of Athens, 1996 Ph.D. in Computer Science and Telecommunications, University of Athens, 1999 M.Sc. in Engineering-Economics, National Technical University of Athens, 2002 Research interests span distributed/mobile/pervasive computing , networked multimedia , context-aware systems , wireless sensor networks , and Internet experimentation involving road, air and water vehicles. His work combines algorithmic design, system architectures, and techno-economic analysis to enable scalable, adaptive services in next-generation networks. He has authored more than 200 peer-reviewed publications and leads the H2020 RAWFIE project on large-scale IoT experimentation. Recent articles reveal a strong focus on trust and security in ad-hoc networks , content-delivery optimization , augmented-reality monitoring systems , and intelligent analytics for smart-city and healthcare applications . Scientific awards & distinctions: While individual prizes are not explicitly listed, sustained funding from EU Framework Programmes (ACTS, IST, H2020) and repeated keynote invitations attest to international recognition. Advising & grants: Prof. Hadjiefthymiades directs the M.Sc. programme on Telecommunication Network Management and Economics, supervising numerous graduate researchers. He has coordinated or participated in over 20 EU and national projects, securing multi-million-euro funding for experimentation infrastructures and doctoral training. Laboratories & teams: He heads the Pervasive Computing Research Group and is a long-standing member of the Communication Networks Laboratory at the University of Athens, where he steers a team of post-docs, doctoral and master students advancing mobile and pervasive systems.

Anthony Papavasiliouمشاهده پروفایل

استادیار

• Operations Research
• Electricity Market Design
• Power System Operations
• +۴ مورد دیگر

Anthony Papavasiliou is an Assistant Professor at the School of Electrical and Computer Engineering, National Technical University of Athens (NTUA). Previously, he held the ENGIE Chair as an Associate Professor at Université catholique de Louvain (UCLouvain) and received the 2018-2021 Franqui Foundation Research Professorship. His research focuses on operations research, electricity market design, power system operations, and renewable energy integration. He holds a BSc from NTUA and MSc/PhD from UC Berkeley, where he collaborated with Professor Shmuel Oren. Education: BSc: Electrical and Computer Engineering, NTUA MSc/PhD: Industrial Engineering & Operations Research, UC Berkeley Research Interests: His work addresses challenges in energy systems optimization, market design for decarbonized grids, stochastic programming, and the integration of distributed energy resources. Key areas include: Electricity market mechanisms Uncertainty management in power systems Flexibility valuation Grid reliability under renewables Awards & Grants: ERC Starting Grant (2019) Bodossaki Foundation Award (2021) INFORMS Best Publication Awards (2015, 2021) Advising & Grants: He leads the ICEBERG research group and has advised on projects for TSOs, regulators, and utilities. His work includes: EU-funded projects on market design Consulting for energy policy development Lab & Teams: Active in the ICCS laboratory and collaborates with international teams on smart grid innovation, particularly in cross-border balancing and zonal pricing frameworks.

D. Tsoumakosمشاهده پروفایل

دانشیار

• Big Data Management Systems
• Distributed Systems
• Large-Scale Computing
• +۶ مورد دیگر

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).

Leonidas Tzevelekasمشاهده پروفایل

پژوهشگر

• Wireless Sensor Networks
• Energy-Efficient Networking
• Social Networking Platforms
• +۳ مورد دیگر

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.