Find Academic Supervisors

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

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

Angelos BilasView profile

Professor

• Computer Systems
• Computer Architecture
• Storage Systems
• +2 more

Angelos Bilas is a Professor in the Department of Computer Science at the University of Crete and a collaborating researcher at FORTH-ICS. He holds a B.Eng. from the University of Patras (1993), and M.A. and Ph.D. from Princeton University (1995, 1998). His research focuses on computer systems, storage systems, and computer architecture, with recent emphasis on optimizing memory management and storage efficiency. Bilas has held roles such as Chair of the Department of Computer Science (2016–2020) and coordinated the FP7 EU project IOLanes (2010–2013). He serves on editorial boards, including ACM Transactions on Storage since 2016. His work has been recognized with awards like the Marie Curie Excellent Teams Award (2005–2009) and patents in storage and networking. Current affiliations: University of Crete (Professor), FORTH-ICS (Researcher) Educations: Ph.D. (Princeton, 1998), M.A. (Princeton, 1995), B.Eng. (Patras, 1993) His research interests span storage systems, parallel architectures, and runtime systems. Recent work includes TeraHeap (ASPLOS'23) for big data frameworks and Tebis (EuroSys'22) for LSM key-value stores. His publications emphasize optimization in memory-mapped I/O, storage efficiency, and heterogeneous acceleration. Awards include the Marie Curie Excellent Teams Award and four patents. He has supervised 35+ master's and 8+ Ph.D. students, contributing to over 45 EU/nationally funded projects. Current initiatives include the EVOLVE H2020 project (2019–2021) for HPC and big data integration. Labs/Teams: Active in FORTH-ICS and collaborations with industry on storage and cloud-HPC convergence.

Angelos BilasView profile

Professor

• Computer Systems
• Computer Architecture
• Storage Systems
• +4 more

Angelos Bilas is a Professor of Computer Science at the University of Crete, Greece, and a collaborating researcher at FORTH-ICS (Foundation for Research and Technology-Hellas). He received his PhD in Computer Science from Princeton University in 1998 and has held academic positions at the University of Crete since 2002, including Department Chair (2016-2020). His research focuses on systems software for storage systems, computing architectures, and parallel systems with emphasis on flash storage optimization. PhD, Princeton University (1998) MA, Princeton University (1995) BEng, University of Patras (1993) His research interests span computer systems, storage architectures, and parallel computing , with notable contributions in memory-mapped I/O optimization, LSM key-value store design, and heterogeneous accelerator integration. He has developed frameworks like TeraHeap for DRAM pressure mitigation in big data systems and Arax for decoupling applications from accelerators. Prominent trends in his recent publications include flash storage optimization (TeraHeap), LSM tree efficiency (Tebis), and cloud-HPC convergence (EVOLVE, KNoC). His work appears in top venues like ASPLOS, USENIX ATC, and ACM Transactions on Storage. Scientific recognitions include: Marie Curie Excellent Teams Award (2005-2009) Best Presentation Award, USENIX HotStorage'20 He has served on editorial boards (ACM Transactions on Storage) and program committees (ACM HotStorage, HPCA). His research involves 35 master’s and 8 PhD students, with 45+ EU/national projects and 4 patents licensed to industry.

• Dependability and Security
• Software Reliability and Security
• Formal Verification
• +7 more

Panagiotis Katsaros is an Associate Professor at the Department of Informatics, Aristotle University of Thessaloniki. His research spans formal verification, model-based system design, dependability, security, and simulation-based performance analysis. He contributes to rigorous methods for embedded systems, IoT, and fault-tolerant computing. His work focuses on Formal verification and model checking Model-based design for multi-core and embedded systems Dependability and security of distributed systems Probabilistic analysis of security risks He has published extensively on these topics, with recent works addressing reactive streaming software, IoT systems, and cloud elasticity. His research often bridges theoretical rigor with practical applications in real-time and safety-critical domains. Scientific awards include BEST PAPER AWARD at 17th Panhellenic Conference on Informatics (PCI 2013) BEST PAPER AWARD at 15th Panhellenic Conference on Informatics (PCI 2011) He collaborates with international institutions and has supervised students in software verification and distributed systems. His contributions to conferences like ETAPS, DSN, and COMPSAC highlight his expertise in systems analysis and software reliability.

• Numerical Analysis
• Numerical Solution of Partial Differential Equations
• Computer Science
• +6 more

Arvanitis Christos is a Lecturer at the School of Electronic & Computer Engineering of the Technical University of Crete . He holds a PhD in Mathematics (2002) and a Master's in Computational & Applied Mathematics (1997) from the University of Crete, alongside a 2-year military service (1995–1997). His academic career includes teaching roles at multiple universities (2002–2008), a hiatus in Secondary Education (2008–2017), and current research-teaching activities since 2017. Education: PhD in Mathematics (2002) Master's in Computational & Applied Mathematics (1997) BSc in Mathematics (1992) His research spans Numerical Analysis and Computer Science , focusing on automatic spatial partitioning in numerical differential equation solutions , with applications in Neural Networks , Human-Machine Interfaces , GPU Computing , and Machine Vision . His 5 publications in reputable journals highlight these interdisciplinary themes. He has participated in applied research programs such as Symmetries in Neural Networks , Underwater Acoustics , and Adaptive Algorithms for Optical Flow , demonstrating expertise in both theoretical and computational domains. Technical Skills: CPU/GPU Programming Distributed Computing GUI Development

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.

• Optical Networking
• Smart Grids
• Network Algorithms and Protocols
• +6 more

Emmanuel Varvarigos is a Professor at the School of Electrical and Computer Engineering of the National Technical University of Athens (NTUA), where he directs the High Speed Communication Networks Laboratory (HSCNL). He holds a B.E. from NTUA (1988) and a Ph.D. from MIT (1992). His career includes roles as Assistant/Associate Professor at UCSB (1992–1998), Associate Professor at TU Delft (1998–1999), and Professor at the University of Patras (1999–2015). He has led major research initiatives, including directorships at the Greek School Network and EAIT/ICT-Diofantos. His research focuses on optical networks, smart grids, cloud computing, and network algorithms. Education: B.E. in Electrical & Computer Engineering, NTUA (1988) Ph.D. in Electrical Engineering & Computer Science, MIT (1992) His research interests span optical networking (flexible OFDM, elastic bandwidth), smart grid optimization, cloud-edge computing, and distributed system protocols. He has authored over 450 publications and led 35+ EU projects, including coordinations of H2020 initiatives like ORCHESTRA and FLEXGRID. Awards include the Vinton Hayes Award and NSF recognition. Current roles include HSCNL directorship, overseeing 5 postdocs and 10+ PhD students. His HSCNL lab addresses challenges in high-speed networks, data centers, and energy grids, collaborating globally on projects like ORCHESTRA (optical networks) and SOCIALENERGY (smart grids).

Nektarios KozyrisView profile

Professor

• Parallel and Distributed Systems
• Computer Architecture
• High-Performance Computing
• +5 more

Nektarios Kozyris is a Professor of Computer Science and former Dean of the School of Electrical and Computer Engineering at the National Technical University of Athens (NTUA). He holds a PhD and Diploma in Electrical and Computer Engineering from NTUA. His research focuses on parallel and distributed systems, computer architecture, high-performance computing, and cloud infrastructure. He has authored over 180 papers and contributed to major projects like the Okeanos public cloud and Synnefo open-source software. Kozyris has led EU initiatives such as ACTiCLOUD and EuroEXA, and advises startups like Arrikto. He is a senior member of the ACM, IEEE Computer Society, and co-founder of the Greek Free/Open Source Software Society (GFOSS). His academic roles include teaching courses on computer architecture, operating systems, and distributed systems. Awards include Best Paper Awards at IPDPS 2001 and CCGRID 2013, and Intel's recognition for research in transactional memory. He actively contributes to conferences as a PC member and co-chair, and has supervised numerous PhD students in areas like distributed systems and sparse matrix computations. Kozyris pioneered the ~okeanos cloud infrastructure and advanced storage systems like Pithos. His work on GridTorrent and XOROS demonstrates innovation in data management and peer-to-peer systems. Current research includes elastic resource provisioning, quantum machine learning, and FPGA-based acceleration. His labs at NTUA and collaborations with institutions like ICCS and IMIS drive advancements in computing systems and software engineering.

Vasilis SamoladasView profile

Associate Professor

• Computational Geometry
• Complexity Theory
• Database Complexity
• +3 more

Vasilis Samoladas is an Associate Professor at the School of Electrical and Computer Engineering of the Technical University of Crete. He holds a PhD (2001) and an MSc (1995) in Computer Science from the University of Texas at Austin, and a Diploma in Electrical Engineering from Aristotle University of Thessaloniki (1992). His research focuses on computational geometry, complexity theory, database systems, distributed systems, and quantum computation. He has published in leading journals such as JACM and Algorithmica, and conferences like PODS and VLDB. He received a Best Paper Award at PODS'98 and has served on program committees for SIM, AAMAS, and others. He coordinates High-Performance Computing initiatives at TU Crete and leads the Software and Networked Systems Lab (Softnet). Education: Ph.D. in Computer Science, University of Texas at Austin, 2001 M.Sc. in Computer Science, University of Texas at Austin, 1995 Diploma in Electrical Engineering, Aristotle University of Thessaloniki, 1992 Research interests include distributed information systems, parallel programming, and multidimensional range searching. He teaches courses on operating systems, distributed systems, computational geometry, and algorithms. Awards: Best Paper Award at PODS'98 Grants: Attracted funding from national and EU sources. Labs/Teams: Scientific coordinator of High-Performance Computing at TU Crete; member of the Software Technology and Network Applications Laboratory and Softnet Lab.

• Distributed Computing
• Parallel Computing
• Peer-to-Peer Systems
• +3 more

Prof. Paraskevi Fragopoulou is a Professor of Computer Science at the Department of Electrical & Computer Engineering, Hellenic Mediterranean University, Greece. She holds a diploma from the University of Crete (1989), M.S. and Ph.D. from Queen’s University, Canada (1990, 1995). Her research focuses on Distributed and Parallel Computing , Peer-to-Peer Systems , Grid Computing , and Computer Networks . She has co-authored over 70 publications and participated in projects funded by the European Commission and Greek Government. Education Computer Science Diploma, University of Crete (1989) M.S. in Computer Science, Queen’s University, Canada (1990) Ph.D. in Computer Science, Queen’s University, Canada (1995) Scientific Awards Marie-Curie European Fellowship Research & Collaborations She has conducted research at École Normale Supérieure de Lyon, UNI-C (Denmark), Université Paris-Sud, and Université de Versailles. Her work spans distributed systems , parallel computing , and network technologies , with participation in numerous European and national projects.

Christos DoulkeridisView profile

Professor

• Parallel and Distributed Query Processing
• Large-Scale Data Management
• Spatio-Temporal Data Management
• +4 more

Christos Doulkeridis is a Professor at the Department of Digital Systems, University of Piraeus, Greece. He specializes in parallel and distributed query processing, large-scale data management, and spatio-temporal data systems. His work focuses on optimizing big data frameworks for mobility analytics and distributed knowledge discovery. He holds a PhD from Athens University of Economics and Business (2007) and has been involved in several EU-funded projects like EMERALDS, Green.DAT.AI, and MobiSpaces as Principal Investigator or Coordinator. Education: PhD in Informatics (2007), Athens University of Economics and Business M.Sc. in Information Systems (2003), Athens University of Economics and Business Diploma in Electrical and Computer Engineering (2001), National Technical University of Athens Awards: Best Paper Awards at SIGSPATIAL, SSTD, EuroVA Marie-Curie and ERCIM Fellowships SemEval 2017 Task 4 & 6 competition wins His research interests include scalable data processing frameworks, mobility data analytics, and spatio-temporal query optimization. He leads projects like MobiSpaces (Horizon Europe), aiming to create energy-efficient data spaces for mobility data. He has published over 100 papers in top venues like EDBT, SIGMOD, and ICDE, focusing on distributed systems, query processing, and machine learning applications in data management. Teaching: He teaches undergraduate and graduate courses in data structures, data analysis, big data processing, and database systems at the University of Piraeus. His courses integrate practical tools like Spark and Hadoop for real-world data challenges.

Nikos PelekisView profile

Lecturer

• Data Mining
• Spatiotemporal Databases
• Mobility Data Analysis
• +2 more

Nikos Pelekis is a Lecturer at the Department of Statistics and Insurance Science and a researcher at the Information Management Group in the Department of Informatics at the University of Piraeus. His research specializes in mobility data management, spatiotemporal databases, and knowledge discovery from moving objects. Research Focus: Design of trajectory database engines (HERMES) Semantic-aware mobility data mining Privacy-preserving techniques for sensitive trajectory data Key Achievements: Best Paper Award at ER'13 and IEEE ICDM'09 Author of "Mobility Data Management and Exploration" monograph Principal researcher in EU projects including GeoPKDD and MODAP

• Parallel Algorithms & Architectures
• Distributed Systems & Databases
• Multiprocessor Operating Systems
• +5 more

Vassilios Mamalis is a full Professor at the University of West Attica (UniWA) in the Department of Informatics and Computer Engineering, and an external academic partner at the Hellenic Open University (HOU). He holds a Diploma and Ph.D. in Computer Engineering and Informatics from the University of Patras (1993 and 1998). His career includes over 25 years of academic and research experience, with roles at the Technological Educational Institute of Athens and RACTI. His research focuses on parallel algorithms, distributed systems, wireless sensor networks, cloud computing, and information retrieval. Education: 1988-1993: Diploma in Computer Engineering & Informatics, University of Patras 1994-1998: Ph.D. in Computer Engineering & Informatics, University of Patras Research Interests include: Parallel Algorithms & Architectures Distributed Systems & Databases Wireless Sensor Networks Cloud Computing & IoT Information Retrieval He has authored 15+ journal articles , contributed to 2 books, and participated in numerous EU and Greek government-funded research programs. His teaching spans undergraduate and postgraduate courses in Operating Systems, Parallel Computing, and Distributed Systems. Current doctoral advisees include Vasiliki Giannou and Leontios Sotiriadis. Research contributions include work on energy-efficient WSN clustering, hybrid GPU-CPU parallelization, and cloud task scheduling. He has led projects like the PROSENS and PROTEAS initiatives, and serves on editorial boards and conference committees.