Parallel Computing Professors and Supervisors in Greece

Stefano MarkidisView profile

Professor

National and Kapodistrian University of AthensGreece

Stefano Markidis is a Professor of Computer Science specializing in high-performance computing systems at KTH Royal Institute of Technology in Sweden. He works in the Division of Computational Science and Technology, focusing on supercomputers, quantum computers, and computational methods for scientific simulations. His research spans multiple domains including plasma physics, computational fluid dynamics, and quantum computing. Markidis holds an MS degree from Politecnico di Torino and a PhD in Nuclear Engineering from the University of Illinois at Urbana-Champaign. Prior to joining KTH, he was a graduate research assistant at Los Alamos National Laboratory and Lawrence Berkeley National Laboratory, followed by a postdoc at KU Leuven. His academic journey reflects a strong foundation in both engineering and computational science. His primary research interests include High-Performance Computing , Heterogeneous Systems , and Quantum Computing . Markidis develops computational methods for plasma physics, particle-in-cell simulations, and fluid dynamics. His work bridges theoretical physics and practical computing, with applications in space physics, fusion energy, and materials science. He is particularly known for contributions to parallel computing, GPU acceleration, and the development of scalable simulation frameworks like Neko for computational fluid dynamics. His research increasingly integrates machine learning techniques with traditional numerical methods. Analysis of Markidis' recent publications reveals a strong focus on quantum-classical hybrid computing, advanced particle-in-cell methods, and high-fidelity computational fluid dynamics. His work demonstrates expertise in programming models for heterogeneous architectures including GPUs and quantum processors, with growing emphasis on AI-enhanced scientific computing. R&D100 award (2005) for the CartaBlanca project R&D100 award (2017) for the SHIELDS project Markidis teaches multiple courses at KTH including Applied GPU Programming, Quantum Computing for Computer Scientists, and High-performance Computing for Computational Scientists. He has supervised numerous degree projects across various specializations in computer science and electrical engineering. His research has been supported by various grants related to high-performance computing and quantum technologies, with applications spanning from space physics to medical treatments. Markidis leads research in computational science with a focus on developing frameworks like Neko for extreme-scale computational fluid dynamics. His team works on integrating traditional HPC methods with emerging technologies including quantum computing and AI, contributing to advancements in scientific simulation across multiple disciplines.

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Mayur NaikView profile

Professor

National and Kapodistrian University of AthensGreece

Mayur Naik is the Misra Family Professor in the Department of Computer and Information Science at the University of Pennsylvania's School of Engineering and Applied Science. He holds office in Room 642B, Amy Gutmann Hall and maintains an active research program focused on the intersection of programming languages and artificial intelligence. Before joining UPenn, he was faculty at Georgia Institute of Technology and a researcher at Intel Labs, Berkeley. Naik received his PhD in Computer Science from Stanford University in 2008 under Alex Aiken, a Masters from Purdue University in 2003 under Jens Palsberg, and a Bachelors from BITS Pilani in 1999. He grew up in Goa, India. His primary research interests center around neurosymbolic programming, which combines symbolic reasoning with machine learning to create more accurate, interpretable, and domain-aware AI systems. His group develops language design, learning algorithms, and compiler optimizations in this space, with their most mature effort being the Scallop neurosymbolic programming language and compiler toolchain. He also conducts research in trustworthy AI for healthcare applications and AI-enabled programming tools that improve programmer productivity. Analysis of his recent publications shows a strong trend toward neurosymbolic programming frameworks (Scallop, TorchQL), LLM-assisted program analysis (IRIS), and applications of these techniques to security, healthcare, and computer vision. His work consistently bridges theoretical foundations with practical implementations, often releasing open-source systems. Misra Family Professor (endowed chair, effective July 2024) Multiple distinguished paper awards (PLDI 2019, FSE 2015, PLDI 2014) Test-of-Time Paper Awards (FSE 2013, FSE 2012, EuroSys 2011) His student Elizabeth Dinella won the 2025 ACM SIGSOFT Outstanding Dissertation award Naik has advised numerous PhD students who have gone on to faculty positions at top institutions including Peking University, University of Toronto, Ashoka University, Bryn Mawr College, and Johns Hopkins University. His research is supported by grants from NSF, Google, Amazon, and other industry partners. His lab maintains active collaborations with clinicians and bioinformatics researchers to apply neurosymbolic programming to healthcare problems. His research group, which includes current PhD students and postdocs, develops practical open-source systems and applies them to diverse domains including computer vision, cybersecurity, medicine, and bioinformatics. The group maintains strong industry connections with Google, Microsoft, Amazon, and other tech companies.

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Chandrakana NandiView profile

Assistant Professor

National and Kapodistrian University of AthensGreece

Chandrakana Nandi is the Director of US R&D at Certora and an affiliate assistant professor in the Department of Computer Science & Engineering at the University of Washington's College of Engineering. She completed her PhD at the University of Washington working with Zachary Tatlock and Dan Grossman in the PLSE research group. Her research focuses on building tools for scaling automated formal verification to real-world programs, particularly for DeFi applications. She works extensively with equality saturation techniques (egg project) and has made significant contributions to computational fabrication through projects like Carpentry Compiler, Szalinski, and LambdaCAD. Her work bridges programming languages, compilers, and digital fabrication, creating novel tools that transform how we design and manufacture physical objects. Nandi's publication record shows a strong trajectory in programming language techniques applied to verification and fabrication. Her work on equality saturation has become foundational in the field, with the egg library enabling state-of-the-art results in compiler optimization and program synthesis. Recent work has expanded into formal verification of smart contracts, demonstrating the versatility of her research approach across different domains. Distinguished Paper Award at OOPSLA 2021 Sigplan Research Highlight for POPL 2021 As Director of US R&D at Certora, she leads research efforts on verification tools for languages like WASM and techniques to help users write formal specifications more easily using mutation testing. She has served in numerous organizational roles for major programming languages conferences including as Workshops Co-Chair for ICFP 2025 and Committee Member for PLDI Review Committee. Nandi has established herself as a leader in the intersection of programming languages and computational fabrication, with her work on equality saturation becoming particularly influential across multiple subfields of programming languages research.

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Kunle OlukotunView profile

Professor

National and Kapodistrian University of AthensGreece

Kunle Olukotun is a Professor of Electrical Engineering and Computer Science at Stanford University's School of Engineering, where he has been faculty since 1991. He directs the Stanford Pervasive Parallelism Lab (PPL) and co-leads the Transactional Coherence and Consistency (TCC) project. His research focuses on computer architecture, parallel programming environments, and scalable parallel systems. Key areas include chip multiprocessors (CMPs), transactional memory systems, domain-specific languages (DSLs) for heterogeneous computing, and hardware-software co-design for machine learning workloads. His work bridges theoretical foundations with practical systems implementation. Notable contributions include the Stanford Hydra research project (one of the first chip multiprocessors with thread-level speculation), founding Afara Websystems (acquired by Sun Microsystems), and developing the Niagara processor architecture. His DSL frameworks like Green-Marl and Spatial enable efficient graph analysis and hardware acceleration. His publications reveal strong trends in parallel systems evolution: from foundational CMP research (2000s) to transactional memory (2004-2010), then DSLs for heterogeneous computing (2010-2015), and currently foundation model systems (2023-2025). Subfield analysis shows consistent focus on hardware-software co-design, sparse computation, and compiler techniques across decades. ACM Fellow (2006) for contributions to multiprocessors on a chip and multi-threaded processor design Best Paper Award at IEEE International Symposium on Workload Characteristics (IISWC '10) for EigenBench Olukotun actively mentors researchers through the Stanford Pervasive Parallelism Lab (PPL), which seeks to proliferate parallelism across application domains. His projects have secured significant industry partnerships, including the acquisition of his startup Afara Websystems by Sun Microsystems. Current research focuses on compiler frameworks for foundation model systems and hardware acceleration for sparse machine learning workloads, supported by collaborations with major tech companies. He leads the Stanford Pervasive Parallelism Lab (PPL), which develops compiler and runtime systems for heterogeneous architectures. The lab's work spans DSLs, hardware acceleration, and parallel programming models, with strong industry ties to companies like NVIDIA and Google. Current initiatives include the Mosaic compiler framework and Stardust architecture for sparse tensor computation.

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Erez PetrankView profile

Professor

National and Kapodistrian University of AthensGreece

Erez Petrank is a Professor of Computer Science at the Technion - Israel Institute of Technology, where he holds the Andrew and Erna Viterbi Chair. His academic career spans decades with significant contributions to systems research, particularly in memory management and concurrent programming. He has maintained continuous academic service through leadership roles in major conferences including SPAA'24, ISMM 2023, and PPOPP 2021. His research focuses on concurrent computing, programming languages, and systems with special emphasis on memory management. Additional interests include parallelism, cryptography, data structures, approximation algorithms, and distributed computing. Petrank's work bridges theoretical foundations with practical systems implementation, particularly evident in his persistent memory research and garbage collection innovations. Petrank's publication record shows consistent contributions to ACM SIGPLAN conferences over two decades, with recent work focusing on non-volatile memory systems, lock-free data structures, and memory reclamation techniques. His research demonstrates a clear trajectory from foundational memory management concepts toward modern persistent memory architectures, reflecting adaptability to evolving hardware paradigms while maintaining theoretical rigor. H-index: 41 (Google Scholar) Erdos number: 2 62 co-authors across diverse research collaborations Petrank has mentored numerous researchers through his academic position and conference leadership roles, serving on program committees for major venues including PLDI, PPoPP, and ISMM. His professional service includes executive committee membership in ACM SIGPLAN (2009-2012) and steering committee roles for multiple conferences. He maintains active research collaborations with institutions worldwide, as evidenced by his extensive co-author list spanning theoretical computer science to practical systems implementation. His academic lineage traces back through Oded Goldreich, Shimon Even, and Hao Wang to intellectual giants including Isaac Newton and Galileo Galilei, reflecting deep roots in theoretical computer science and mathematics.

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Margaritis KonstantinosView profile

Professor

University of MacedoniaGreece

Margaritis Konstantinos serves as a Professor in the Department of Applied Informatics at the University of Macedonia, Thessaloniki, Greece. His contact details include office C5, 531, phone numbers +30 2310 891.891 and +30 2310 891.842, and email kmarg@uom.gr. His academic qualifications are: B.Sc. in Electrical Engineering, Aristotelian University of Thessaloniki, Greece M.Sc. in Theory & Applications of Computation, Loughborough University of Technology, UK (1985) Ph.D. in Computer Science, Loughborough University of Technology, UK (1988) Research focuses span: Parallel and Distributed Computing Intelligent Systems Computational Intelligence Computer Mathematics He teaches core courses including Introduction to Computer Science (CSC101) and Parallel and Distributed Computing (CSC603), reflecting his expertise in foundational and advanced computing domains. His scholarly output comprises 37 books, 85 scientific journal publications, and 139 conference papers, demonstrating sustained productivity in theoretical and applied informatics.

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Angelo SifalerasView profile

Professor

University of MacedoniaGreece

Angelo Sifaleras is a Full Professor at the Department of Applied Informatics, School of Information Sciences, University of Macedonia (Thessaloniki, Greece). He also serves as an Adjunct Professor of Quantitative Methods at the Hellenic Open University. His academic credentials include a Ph.D. in Applied Informatics (University of Macedonia, 2007) and a B.Sc. in Mathematics (Aristotle University of Thessaloniki, 1999). Research Focus: Professor Sifaleras specializes in Mathematical Programming , Network Optimization , and Heuristic Methods . His work integrates computational optimization with real-world logistics, supply chains, and sustainable systems. Key research themes include metaheuristic algorithms for vehicle routing, pollution-aware logistics, and parallel computing solutions for network analysis. Publication Trends: His 15 most recent articles emphasize hybrid metaheuristics (e.g., combining reinforcement learning with Variable Neighborhood Search), sustainable supply chain modeling, and high-performance computing applications. Dominant domains include operations research, environmental optimization, and educational algorithm visualization. Teaching & Service: He instructs courses in Combinatorial Optimization, Linear Algebra, and Heuristic Methods, employing tools like CPLEX, Gurobi, and SageMath. As an editor for Operations Research Forum and the Yugoslav Journal of Operations Research , he supports academic discourse in optimization. A Senior ACM member, he contributes to conferences like ICVNS and ITS.

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Konstantinos GiannoutakisView profile

Assistant Professor

University of MacedoniaGreece

Konstantinos Giannoutakis serves as an Assistant Professor in the Department of Applied Informatics at the University of Macedonia, where he actively contributes to teaching and research in computational methods and applied informatics. His role encompasses both academic instruction and scholarly publication within the university's technical faculties. His educational foundation includes: B.Sc. in Mathematics from the University of the Aegean M.Sc. in Computational Science from the University of Athens Ph.D. in Electrical and Computer Engineering from Democritus University of Thrace Dr. Giannoutakis' research centers on advanced computational techniques, with significant focus on Scientific Computing and Parallel Computing architectures. His work in Numerical linear algebra develops optimized approaches for sparse linear systems, while his expertise in Finite difference and finite element methods supports complex scientific simulations. The Algorithms evaluation component of his research ensures computational efficiency across diverse mathematical applications. He instructs key undergraduate courses including Algorithm Analysis (CSC401), Discrete Mathematics (AIC203), and Mathematical Analysis (AIC104), demonstrating commitment to foundational computer science education. His substantial publication portfolio comprises 27 books, 37 scientific journal articles, and 34 conference papers, though specific recent works were not detailed in the source material. No scientific awards, research grants, advised students, or laboratory affiliations were documented in the available information.

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Nikolaos BakasView profile

Assistant Professor

The American College of GreeceGreece

Dr. Nikolaos Bakas serves as an Assistant Professor in the Information Technology Department at the School of Liberal Arts and Sciences, The American College of Greece, Deree. His academic profile centers on bridging theoretical mathematics with practical machine learning implementations through rigorous algorithmic development. His research program focuses on fundamental mathematical modeling of machine learning systems , with specialized expertise in Numerical Methods and High-Performance Computing (HPC) . Key contributions include stochastic optimization algorithms (notably the ITSO framework), gradient-free neural network training techniques, and computational mechanics applications. This interdisciplinary work connects theoretical mathematics with engineering solutions in structural analysis and environmental risk assessment. Analysis of his 2019-2023 publications reveals a clear trajectory toward practical HPC implementations of machine learning frameworks, with increasing emphasis on domain-specific applications. His research consistently addresses computational efficiency challenges while maintaining mathematical rigor, particularly in stochastic search methods and partition-based approximation systems. As Principal Investigator for multiple industry and academic projects, Dr. Bakas demonstrates active research leadership with direct organizational consulting experience. His project portfolio indicates strong translation of theoretical research into real-world AI and HPC adoption, though specific grant details remain undisclosed.

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Miltos D. GrammatikakisView profile

Professor

Hellenic Mediterranean UniversityGreece

Professor Miltos D. Grammatikakis is a faculty member in the Department of Electrical and Computer Engineering at Hellenic Mediterranean University, holding the academic rank of Professor with active office hours (Fridays 18:00-20:00) and email contact mdgramma@cs.hmu.gr. His academic foundation includes an MSc (1985) and PhD (1991) in Computer Science from the University of Oklahoma, followed by international positions in France, Germany, and Greece before his current appointment. Research focuses on critical embedded systems domains with emphasis on practical implementations: Embedded Security & Real-Time/Mixed Criticality Systems Parallel/Multi-Core Architectures & System Reliability EDA Tools & High-Level Power Estimation Telecom/Satellite Networked Systems He has received recognition including an award for the open-source OCCN on-chip communication framework. Award for OCCN framework Professor Grammatikakis maintains strong industry-academia ties through 20 years of collaboration with ST Microelectronics on projects like IPSIM and Spidergon STNoC. His extensive project portfolio spans 25+ European initiatives (H2020, FP7, FP6 etc.), resulting in 80+ publications, two CRC Press books, two US patents, and 900+ Google Scholar citations. Current work continues to advance semiconductor design methodologies and embedded system architectures.

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Harris PapadakisView profile

Assistant Professor

Hellenic Mediterranean UniversityGreece

Harris Papadakis serves as an Assistant Professor in the Department of Electrical and Informatics Engineering at the Hellenic Mediterranean University, specializing in Distributed Services and Networks. His academic position places him at the forefront of systems research and engineering education within the institution. His educational credentials include: PhD in Computer Science from the University of Crete Undergraduate Degree in Computer Science from the University of Crete Postgraduate MSc Diploma in Computer Engineering from the University of Patras Professor Papadakis' research program centers on advanced computing systems with emphasis on scalability and network efficiency. His work spans Parallel and Distributed Systems, Peer Systems architectures, Large-Scale Distributed Systems design, Computer Networks optimization, Recommender Systems development, and Graph Analysis methodologies. The research demonstrates practical applications in data-intensive environments, evidenced by over 500 citations, an h-index of 8, and an i10-index of 7. His active participation as both researcher and project head indicates sustained grant funding and leadership in collaborative technical initiatives. As an Assistant Professor, he maintains regular office hours (Wednesdays 11:00-13:00) and engages in academic mentorship. While specific student supervision details aren't provided, his research profile suggests opportunities for graduate students to contribute to funded projects in distributed systems and network technologies.

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