جست‌وجوی استاد و پژوهشگر

Koutsopoulos Iordanisمشاهده پروفایل

استاد

• Federated Learning
• Explainable Artificial Intelligence
• Edge Computing
• +۳ مورد دیگر

Koutsopoulos Iordanis serves as a Professor in the Department of Informatics within the School of Information Sciences and Technology at Athens University of Economics and Business (AUEB). His office is located at 2, Troias, Kimolou & Spetson Str., 4th Floor, Office 402, with contact details including email jordan@aueb.gr and phone +30 210 - 8203 933. His research spans Federated Learning , Explainable AI for Healthcare , and Edge Computing Systems , with significant focus on the PRE-ACT project for breast cancer radiotherapy optimization. Key interests include energy efficiency algorithms, wireless networking, and AI deployment on resource-constrained devices. His work demonstrates strong interdisciplinary integration between computer science and clinical medicine. Recent publications reveal dominant trends in medical AI applications (particularly breast cancer treatment optimization), federated learning architectures for edge environments, and energy-aware systems . The PRE-ACT project constitutes a major research thrust, combining explainable AI with clinical radiotherapy decision support across multiple international institutions. He actively contributes to wireless networking research with emphasis on Software-Defined Networking (SDN) optimization, controller placement strategies, and tactical MANET implementations. His experimental work includes development of testbeds for federated learning on resource-constrained hardware.

Georgia Koloniariمشاهده پروفایل

دانشیار

• Social Networks
• Graph Databases
• Distributed Systems
• +۴ مورد دیگر

Georgia Koloniari is an Associate Professor at the Department of Applied Informatics, School of Information Sciences, University of Macedonia. She holds a PhD in Computer Science from the University of Ioannina (2009), along with an MSc (2003) and BSc (2001) in Computer Science from the same institution. Her research focuses on distributed systems, graph databases, and peer-to-peer (P2P) systems, with notable contributions to social network analysis, XML data management, and privacy-preserving techniques. She has led or participated in multiple funded research projects, including the Cloud9 project (2011–2014) and the Self-Peer initiative (2005–2008). Her teaching roles include instructing courses such as Distributed Systems , Data Structures , and Advanced Information Systems at the undergraduate level, and IT Infrastructure and Databases at the graduate level. She has also contributed to online educational initiatives, including the development of the Data Structures course in the Open Digital Courses project. Dr. Koloniari’s research interests span social network evolution, graph database management, and distributed data processing. She has published extensively on topics like clustered overlay networks, privacy-preserving record linkage, and temporal query processing. Her work integrates game-theoretic approaches and algorithmic solutions to address challenges in P2P systems and cloud computing. Her recent publications highlight advancements in privacy-preserving techniques (e.g., PRIVATEER toolkit) and time-aware social search systems. She remains active in academic service, serving on program committees for conferences like WWW and EDBT, and reviewing for journals such as IEEE Transactions on Parallel and Distributed Systems. Labs/Teams: Her involvement with the DMOD Lab (Digital Media, Data Management, and Distributed Systems Lab) reflects her focus on interdisciplinary research in data management and distributed computing.

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.

Papadopoulos Apostolosمشاهده پروفایل

دانشیار

• Databases
• Data Mining
• Spatial Databases
• +۷ مورد دیگر

Apostolos Papadopoulos is an Associate Professor at the Department of Informatics , Aristotle University of Thessaloniki , Greece. His research focuses on databases, data mining, and big data analytics. Born in Eleftheroupolis, Greece Diploma in Computer Engineering and Informatics (University of Patras) PhD in Informatics (Aristotle University of Thessaloniki) Research Interests: Spanning DATABASES and DATA MINING , his work includes: Efficient query processing in multidimensional and spatio-temporal databases Graph mining algorithms (dense subgraphs, frequent patterns, probabilistic graphs) Parallel/distributed systems (Spark, Hadoop) for massive datasets Real-time data stream analysis Scientific Recognition: Best Paper at EDBT 2014 (selected for ACM Transactions on Database Systems) Best Knowledge Discovery Paper at ECML/PKDD 2008 Google Scholar h-index: 25 PhD Supervision: Mentoring 4 ongoing PhD students and one graduated candidate (Eleftherios Tiakas).

George A. Gravvanisمشاهده پروفایل

استاد

• Computational Methods
• Mathematical Modeling
• Parallel Computing
• +۱۰ مورد دیگر

Dr. George A. Gravvanis is a Professor of Applied Mathematics and Numerical Computations at the Department of Physics and Applied Mathematics, Democritus University of Thrace. He also serves as Coordinator and SEP Member for Thematic Units at the Hellenic Open University. B.Sc. (1982) in Science (Joint Honours), University of Salford B.A. (1986), Mathematics, National and Kapodistrian University of Athens M.Sc. (1984), Numerical Analysis, Brunel University PhD (1992), Computer Science, Athens University of Economics and Business His research focuses on computational and numerical methods, including Mathematical Modeling , Parallel Algorithmic Design , Numerical Algorithms , Sparse Matrix Techniques , and PDE Solvers . He integrates these into Mathematical Software and Computer Science Mathematics . Recent article trends highlight his work in Sparse Regression for data imputation, Hybrid Multi-Projection Methods for distributed systems, and Unified Transform Techniques for PDEs. Subfields span High-dimensional Data , GPU Clusters , and Self-Organizing Clouds . He has taught undergraduate courses in Mathematical Software , Applied Numerical Analysis , and Scientific Calculations . He has coordinated research projects such as the CloudLightning initiative under Horizon 2020. His editorial contributions include roles on international journal boards and special edition editing. Dr. Gravvanis has reviewed for major academic organizations and journals, including ACM Computing Reviews and Mathematical Reviews (AMS) . His career spans academic roles and technical positions in national and EU social security informatics.

• Real-time computer resource management systems
• Heterogeneous memory systems
• Programming models for heterogeneous computing systems
• +۲ مورد دیگر

Lazaros Papadopoulos serves as an Assistant Professor in the Department of Electrical and Computer Engineering at Democritus University of Thrace since May 2024, focusing on computational resource management for embedded and high-performance systems. His work bridges hardware-software co-design with energy-efficient computing paradigms. His academic credentials include: Bachelor's in Electrical and Computer Engineering from Democritus University of Thrace (2005) Master's degree from the same institution (2008) PhD from the National Technical University of Athens (2016) Research centers on optimizing computing infrastructure through real-time resource management, heterogeneous memory architectures, and AI workload acceleration. His investigations target energy-performance tradeoffs in GPU systems, persistent memory integration, and edge-device neural network deployment, with direct applications in sustainable computing and high-performance data processing. Publication analysis (2018-2022) reveals consistent focus on heterogeneous system optimization, particularly energy-aware GPU acceleration frameworks, memory management for DRAM/NVM hybrids, and efficient CNN implementations for edge devices. Key thematic threads include sustainable computing practices, hardware-aware AI deployment, and memory hierarchy innovations. Scientific recognition includes: Two Best Paper Awards Research leadership spans major EU initiatives: Work Package Coordinator for LAGO (Horizon Europe, 2022-2024) and PRAETORIAN (H2020, 2022-2024); Technical Coordinator for EXA2PRO (H2020, 2018-2021); and Work Package Coordinator roles in SDK4ED (H2020, 2018-2020) and EXCESS (H2020, 2013-2016). These projects address embedded systems security, exascale programming models, and energy-efficient computing toolchains. He operates within the Computer Architecture and High Performance Systems laboratory, directing research on computational resource orchestration for next-generation heterogeneous platforms.

• Cloud Computing
• Internet of Things (IoT)
• Semantic Web
• +۳ مورد دیگر

Euripides Petrakis is a Professor at the School of Electrical and Computer Engineering of the Technical University of Crete (TUC), serving as Director of the Intelligent Systems Laboratory since 2006. He holds a B.Sc. in Physics from National University of Athens (1985) and a Ph.D. in Computer Science from University of Crete (1993). His research focuses on cloud computing, IoT, semantic web technologies, and image databases. Notable achievements include over 175 publications with a Google Scholar citation count exceeding 4000, attracting €2.5M in EU and Greek Government funding. Education: B.Sc. Physics (1985), Ph.D. Computer Science (1993) Research interests span: - Cloud computing and microservices orchestration - IoT security and interoperability - Semantic web ontologies for service descriptions - Edge computing architectures Recent work emphasizes Kubernetes scheduling optimizations, real-time video processing, and GDPR-compliant IoT frameworks. His group developed systems like TWIST, DeFog, and CLONE, addressing challenges in distributed systems and semantic interoperability. Awards: TUC Excellence Award (2022), AINA 2024 Best Paper Advising over 30 graduate students, Prof. Petrakis has coordinated 15+ research projects. His lab explores next-generation cloud-edge architectures and semantic web of things standards.

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

Panagiota Fatourouمشاهده پروفایل

استاد

• Parallel and Distributed Computing
• Concurrent Data Structures
• Transactional Memory
• +۸ مورد دیگر

Dr. Panagiota Fatourou is a Professor in the Department of Computer Science at the University of Crete and a senior researcher at the Institute of Computer Science (ICS), Foundation for Research and Technology - Hellas (FORTH). She holds a dual affiliation, contributing significantly to both institutions. She has previously served as faculty at the University of Ioannina and held postdoctoral positions at the Max-Planck-Institut für Informatik and the University of Toronto. She has also been a visiting professor at École Polytechnique Fédérale de Lausanne (EPFL). Her research spans the theoretical and practical foundations of parallel and distributed computing. She is a leading expert in concurrent data structures, transactional memory, and the use of persistent memory in system design. Her work integrates theoretical rigor with practical implementation, often publishing in top-tier venues like PPoPP, PODC, SPAA, and PVLDB. Recent publications highlight her focus on efficient garbage collection for multiversioning, persistent data structures, and distributed data series similarity search, reflecting a trend towards high-performance, fault-tolerant systems for modern hardware. Best Paper Award, PPoPP 2022 Marie-Curie Individual Fellowship FSMP Distinguished Professor Fellowship ACM Distinguished Speaker Featured ACM Member Dr. Fatourou has a strong record of leadership and mentorship. She has advised numerous MSc and PhD students and is actively recruiting for her PERSIST project, funded by HFRI. She has led major research initiatives, including the EU-funded TransForm network and the GreenVM project. Her leadership extends to the broader community, where she has served as Past Chair of the ACM Europe Council, Chair of the Greek ACM-W Chapter, and on the steering committees of PODC and OPODIS. She has also co-organized key events on gender equality in computing, such as the Summits on Gender Equality in Computing (GEC) and the WISTEM Summer School. She is deeply involved in the academic service, frequently serving on program committees for premier conferences such as SPAA, NETYS, and SRDS. Her laboratory and research team at FORTH ICS and the University of Crete focus on building the theoretical underpinnings and practical implementations of next-generation concurrent and distributed systems.

Christos Kotselidisمشاهده پروفایل

دانشیار

• Virtual Machines
• Compilers
• Hardware/Software Co-design
• +۷ مورد دیگر

Christos Kotselidis is an Associate Professor at the University of Manchester's School of Computer Science and serves as Chief Engineer at Pierer Innovation (previously mentioned as KTM Innovation). He leads the TornadoVM project, a groundbreaking Java Virtual Machine for heterogeneous hardware acceleration. His work bridges academia and industry, focusing on hardware/software co-design for virtual machines and embedded systems. His research spans chip design, micro-architecture, compilers, virtual machines, and garbage collection. Dr. Kotselidis has pioneered work in heterogeneous computing, particularly in accelerating Java applications on GPUs, FPGAs, and RISC-V architectures. His team's recent development of GPULlama3.java demonstrates the practical application of his research in bringing LLM inference to pure Java with GPU acceleration. His publications show a consistent focus on bridging hardware capabilities with managed runtime systems. The research trajectory reveals increasing sophistication in handling memory hierarchies, parallelism, and cross-architecture execution. His work has significant implications for high-performance computing, AI acceleration, and sustainable computing practices. Dr. Kotselidis actively contributes to the academic community as a program committee member for conferences like ISMM and as an organizer for workshops including VMIL and MoreVMs. He's also involved in EU-funded projects like AERO and DARE, which focus on European processor initiatives and software ecosystems. As project lead for TornadoVM, he mentors a research team at Manchester including Michalis Papadimitriou, Mary Xekalaki, and Thanos Stratikopoulos. His lab (Beehive Lab) develops open-source tools that are widely used in both academic and industrial settings for heterogeneous computing.

• Algorithms and Complexity
• Graph Theory and Applications
• Computer Networks and Internet
• +۳ مورد دیگر

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.

Polyvios Pratikakisمشاهده پروفایل

دانشیار

• Parallel Programming
• Distributed Systems
• Programming Languages
• +۲ مورد دیگر

Polyvios Pratikakis is Associate Professor in the Computer Science Department at University of Crete and Visiting Researcher at FORTH-ICS. Research develops tools for parallel/distributed software execution, focusing on programming languages, runtimes, and static analysis for modern hardware. Current projects include EuroEXA (programming models for exascale applications) and ETAK (earthquake simulation deployment in cloud environments). Past projects include ASAP (big data workflows), Myrmics/BDDT/PARTEE (task-parallel runtimes), and GreenVM (JVM for non-cache-coherent architectures). Additional research examines software fault tolerance and static analysis for parallel programs. Teaching includes undergraduate/graduate courses on Parallel Programming, Type Systems, Multicore Programming, and Computer Science fundamentals. Supervises multiple MSc/PhD students in compiler design, runtime systems, and social network analytics. Service includes program committees (EuroPar, CF), HiPEAC organization, and faculty committees at University of Crete.

• Software Engineering
• IT Security
• Cloud Systems Engineering
• +۳ مورد دیگر

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.

• Operations Research
• Game Theory
• Decision Theory
• +۵ مورد دیگر

Evangelos F. Magirou is a Professor of Operations Research at the Department of Informatics of Athens University of Economics and Business (AUEB). He holds a BS in Electrical Engineering from Princeton University (1971), an MSc in Decision and Control Sciences from Harvard University (1972), and a Ph.D. in Decision and Control Sciences from Harvard (1976). His research focuses on theoretical and applied Operations Research, with specializations in Finance, Shipping, and Energy Policy. He has held significant administrative roles, including Deputy Chairman of the Department of Informatics at AUEB and Chairman of the Hellenic Procurement Institute (1994–1997). Education: BS in Electrical Engineering, Princeton University (1971) MSc in Decision and Control Sciences, Harvard University (1972) Ph.D. in Decision and Control Sciences, Harvard University (1976) Research Interests: Operations Research applications in Finance, Shipping, and Energy Policy Optimization, Game Theory, and Decision Theory Algorithm design and dynamic optimization Recent Publications Trends: Magirou’s work spans theoretical contributions to graph theory, kernel enumeration, and default logic, alongside applied research in shipping logistics, energy policy, and financial modeling. His 2000s publications emphasize computational finance and policy iteration methods, reflecting a shift toward quantitative finance and algorithmic innovation. Awards and Grants: No specific awards are listed, but his extensive involvement in energy policy research and industry partnerships (e.g., Public Power Corporation) highlights impactful applied work. Teaching and Advising: He teaches courses in mathematics of finance, operations research, and algorithms. His academic leadership includes directing the MSc Program in Business Mathematics (jointly with the University of Athens). Labs/Teams: Collaborates with the Center for Economic Research at AUEB and has contributed to shipping industry studies through collaborative projects with industry experts.

Nikolaos M. Missirlisمشاهده پروفایل

استاد

• Scientific Computing
• Parallel Computing
• Numerical Analysis
• +۲ مورد دیگر

Nikolaos M. Missirlis is a Professor at the Department of Informatics and Telecommunications at the National and Kapodistrian University of Athens (NKUA) since 1995. He earned his BSc in Applied Mathematics from the University of Ioannina, Greece in 1974 and his PhD in Numerical Analysis from Loughborough University of Technology, UK in 1978. He has held visiting positions at Rutgers University (1986-1987), Cyprus University (2006-2008), and SUNY Stony Brook (2013). His research focuses on Scientific Computing , particularly parallel solution of Partial Differential Equations and load balancing algorithms. His work bridges theoretical mathematics with high-performance computing applications in meteorology and fluid dynamics. His publications demonstrate consistent output in parallel algorithms and numerical methods, with recent work emphasizing GPU acceleration and diffusion-based load balancing techniques. Research trends show evolution from foundational iterative methods to applications in heterogeneous computing environments. Teaching activities include undergraduate courses: Numerical Analysis Numerical Linear Algebra Algorithms and Complexity Introduction to Programming Data Structures Graduate courses: Scientific Computing (Numerical Solution of PDEs) Parallel Algorithms He has advised five PhD students and led major projects including: PYTHAGORAS (Distributed iterative methods for weather prediction) SKIRON (Parallelization of Eta model for Hellenic Meteorology Service) Princeton Ocean Model parallelization Contact: nmis@di.uoa.gr | +30 210 7275103 | Department of Informatics and Telecommunications, NKUA, Panepistimiopolis 157 84, Athens, Greece.