Find Academic Supervisors

Georgios SyrakoulisView profile

Professor

• Complex Electronic Systems
• Memristors and Nanoelectronic Devices
• Cellular Automata
• +5 more

Georgios Syrakoulis serves as a full Professor at Democritus University of Thrace's School of Engineering, Department of Electrical and Computer Engineering since 2018 (appointed faculty member since 2008). He concurrently holds a visiting researcher/Professor position at UWE, UK since 2014 and maintains active industry collaborations through prior founding roles at Ulysses O.E. (1999-2002). His educational background includes a Diploma (1996) and Ph.D. (2001) in Electrical and Computer Engineering from Democritus University of Thrace. His research spans complex electronic systems , with specialized focus on memristive nanodevices, cellular automata theory, neuromorphic computing architectures, and bioinspired computational models. His work bridges theoretical frameworks with practical implementations in nanoelectronics and unconventional computing paradigms. Recent publications reveal a concentrated research trajectory in memristor-based neuromorphic and quantum computing systems , with significant contributions to modeling dynamic behavior of TaO memristors, developing virtual physarum-based computing labs, and establishing foundational frameworks for memristive networks. His scholarly output demonstrates consistent emphasis on bridging nanoscale device physics with computational architecture design. Professor Syrakoulis has supervised 11 Ph.D. dissertations, 22 Master's theses, and 75 undergraduate projects, with several receiving departmental and international awards. He has coordinated over 30 research programs funded by the EU, GSRT, HFRI, and private entities, including Wave-Based Memristive Devices (2020-2022), 1D1M Crossbar Architecture (2019-2021), and Synthesis and Performance Optimization of a Switching Nano-Crossbar Computer (2015-2019). As leader of the Electronics Laboratory, he directs research in nanoelectronic devices, memristive circuits, and unconventional computing architectures. His team maintains active collaborations through initiatives like Greek-Russian bilateral projects on quantum computing and EU-funded NANOxCOMP. He has organized international conferences including NANOARCH 2019 and PACET 2017, while presenting as invited speaker at over 30 international venues in the past five years.

Sotirios KokosisView profile

Associate Professor

• Automated control systems
• Industrial Automation
• Power Electronics
• +3 more

Sotirios Kokosis is a Teaching and Research Associate at the Department of Information Technology and Computers, School of Electrical and Computer Engineering, National Technical University of Athens (NTUA) since the 2021-22 academic year. He holds a Diploma in Electrical & Computer Engineering from NTUA (1992) and a Doctor of Engineering from the same institution (2016). Prior to his academic role, he served as a permanent teacher in secondary education (2004-2021) and worked as an engineer in the INTRACOM Group and APTRONIC HELAS S.A., focusing on military-grade power electronics and firmware development. His research interests span automated control systems firmware, industrial automation, power electronics, and wireless energy transfer to medical implants. He teaches undergraduate courses including Programming Techniques, Microprocessor Systems, Microprocessors Laboratory, VLSI Systems Design, and Embedded System Design. His scholarly work emphasizes power electronics applications in medical devices and semiconductor device optimization. Recent publications analyze inductive charging systems for biomedical implants and SiC transistor performance in high-frequency applications.

• Network and telecommunications economics
• Broadband network service charging models
• Regulatory policy and auction design
• +7 more

Professor Kourkoubetis Konstantinos is a faculty member at the Department of Informatics, School of Information Sciences and Technology, Athens University of Economics and Business (AUEB). He holds a Ph.D. in Electrical Engineering and Computer Science from the University of California, Berkeley, following his Master's degree from the same institution and undergraduate degree from the National Technical University of Athens. His research focuses on network economics and telecommunications, with particular expertise in peer-to-peer systems, network pricing models, and high-speed network technologies. His work bridges theoretical computer science with practical telecommunications applications, developing mathematical models for network resource allocation and economic incentives. His publication record demonstrates consistent contributions to top networking conferences and journals, with a notable book Pricing Communication Networks: Economics, Technology and Modeling (Wiley, 2003) serving as a key reference in the field. His research shows a clear progression from theoretical network models to practical economic applications in telecommunications infrastructure. Professor Kourkoubetis has led significant research projects including MMAPS (Economic models for peer-to-peer systems) and M3I (Internet billing systems), and has contributed to major initiatives like the EuroNGI Network of Excellence. His work with the Energy Regulatory Authority on power import rights auctions demonstrates real-world impact of his theoretical research. Scientific Director of Communications and Networks Center, University of Crete (1996-2000) Head of Telecommunications and Networks Department, Institute of Informatics, FORTH (1990-1999) Head of Laboratory of Economics and Systems Theory, AUEB (2000-present) Member of National Research Council (2002-2003) Board Member of Information Society SA (2003-2004) His leadership extends to program committees for major conferences including INFOCOM and ICQT, reflecting his standing in the international networking research community. His dual expertise in theoretical computer science and economic modeling has positioned him as a key contributor to the development of economic frameworks for modern network infrastructure.

• Computer Networks
• Distributed Systems
• Parallel Processing
• +6 more

Paraskevi Frangopoulou is a Professor at the Department of Electrical and Computer Engineering (E.C.E.) of the Hellenic Mediterranean University (Heraklion, Crete). She specializes in distributed systems, parallel processing, computer networks, and their applications in education. She holds academic leadership roles in courses such as "Analysis and Design of Algorithms," "Data Structures," and "Parallel Processing" at the undergraduate level, and "Data Structures and Algorithms" in the postgraduate "Informatics Engineering" program. Education: B.Sc., Department of Computer Science, University of Crete (1989) M.Sc. & Ph.D., Queen's University, Canada (1991, 1995) Research & Affiliations: She leads the NetDil group within the MNCLab at the Hellenic University of Athens and collaborates with the DiSC Lab at FORTH. Her work focuses on distributed systems, P2P networks, and cybersecurity. She has authored over 70 articles, achieving 2000+ citations (h-index: 20, i10-index: 42). Grants & Activities: Principal investigator in multiple EU/National projects. Active in conference organization and peer review. Labs & Teams: MNCLab (Multimedia, Networks & Communications), DiSC Lab (Distributed Computing & Cybersecurity).

• Large-scale Scientific Computing
• Computational Linear Algebra
• Parallel and Distributed Processing
• +4 more

Professor Efstratios Gallopoulos is a faculty member at the Department of Computer Engineering & Informatics , University of Patras, where he holds the Division of Computer Software . He currently serves as Deputy Department Chair and Director of the High Performance Information Systems Laboratory (HPCLab) . His academic career spans multiple institutions including the University of Illinois at Urbana-Champaign, University of California Santa Barbara, and collaborations with INRIA Rennes and NASA Goddard Space Flight Center. Education : B.Sc. in Mathematics (First Class Honours) from Imperial College London (1979) Ph.D. in Computer Science from University of Illinois at Urbana-Champaign (1985) Research Focus : His work centers on Large-scale Scientific Computing with emphasis on Computational Linear Algebra , Parallel/Distributed Processing , and Data Mining . Recent publications highlight innovations in Randomized Numerical Linear Algebra , Heterogeneous Cluster Scheduling , and GPU-Accelerated Inversion Techniques . Article Trends : His research bridges High-Performance Computing with Data Science , focusing on scalable algorithms for Matrix Computations , Recommender Systems , and Biomarker Analysis . The work spans theoretical advancements (e.g., Givens Rotations ) and practical implementations (e.g., pylspack library). Scientific Awards : NASA Group Achievement Award for Massively Parallel Processor (MPP) development ACM SIGWEB Hypertext Ted Nelson Newcomer Award (2012) Advising and Grants : He has advised numerous research projects funded by European Research Council , Hellenic Foundation for Research and Innovation (HFRI) , and international bodies like the US National Science Foundation. Notably, he co-organized the 2015 Gene Golub SIAM Summer School and served as Chair of the SIAM Gene Golub Summer School Committee (2020-24). Labs and Teams : He leads the High Performance Information Systems Laboratory (HPCLab) and co-directs the interdisciplinary graduate program Data Driven Computing and Decision Making . His teams have contributed to the Cedar vector multiprocessor project at UIUC and Text-to-Matrix Generator (TMG) tools for data mining.

Sriram KrishnamoorthyView profile

Research Professor

• Parallel Programming Models
• Fault Tolerance
• High-Performance Computing
• +6 more

Sriram Krishnamoorthy is a Research Professor at Washington State University's School of Electrical Engineering & Computer Science and a research scientist at Pacific Northwest National Laboratory (PNNL), where he serves as the System Software and Applications Team Leader in PNNL's High Performance Computing group. Dr. Krishnamoorthy earned his B.E. from the College of Engineering, Guindy in Chennai, India, and his M.S. and Ph.D. degrees from The Ohio State University. He is a senior member of the Institute of Electrical and Electronics Engineers. His research focuses on parallel programming models, fault tolerance, and compile-time/runtime optimizations for high-performance computing. He has made significant contributions in areas including: Fault tolerance techniques that minimize rollback during failures Dynamic load balancing for irregular parallel applications Compiler and runtime optimizations for HPC applications GPU programming and heterogeneous computing Quantum chemistry simulations and quantum computing Dr. Krishnamoorthy's publications span computational science, high-performance computing, and quantum chemistry. His recent work shows strong trends toward quantum computing applications, fault tolerance in large-scale systems, and optimization of computational chemistry methods. He has developed techniques for density matrix quantum circuit simulation, floating-point error analysis, and scalable execution of coupled-cluster models. His scientific achievements have been recognized with several prestigious awards: Best Paper Award at International Conference on High Performance Computing (HiPC'03) Best Paper Award at International Parallel and Distributed Processing Symposium (IPDPS'04) U.S. Department of Energy Early Career award (2013) PNNL's Ronald L. Brodzinski Award for Early Career Exceptional Achievement (2013) The Ohio State University's Outstanding Researcher award (2008) Dr. Krishnamoorthy has advised numerous graduate students and collaborated extensively with researchers across computational science domains. His work on the NWChem project demonstrates significant grant funding and large-scale collaborative research efforts in computational chemistry. He leads research efforts in PNNL's High Performance Computing group, focusing on system software and applications development for next-generation supercomputing platforms.

Adrian SampsonView profile

Associate Professor

• computer architecture
• programming languages
• compilers
• +5 more

Adrian Sampson is an Associate Professor in the Department of Computer Science at Cornell University, where he is part of the Computer Systems Laboratory and the programming languages group. He joined Cornell in 2016 as an Assistant Professor and was promoted to Associate Professor in 2022. Prior to Cornell, he was a Visiting Researcher at Microsoft Research (2015-2016). He received his Ph.D. from the University of Washington in 2015 under advisors Luis Ceze and Dan Grossman, with a dissertation on Hardware and Software for Approximate Computing. His research focuses on breaking down abstraction barriers and rethinking the hardware-software interface. He is particularly known for his work on approximate computing, which explores how computers can be more efficient by allowing them to make controlled mistakes. He leads the Capra research group at Cornell, which investigates programming languages and computer architecture. Sampson's recent publications demonstrate a strong focus on hardware acceleration, FPGA programming, compiler design, and programming language theory. His work often bridges the gap between high-level programming abstractions and low-level hardware implementation, with particular attention to predictability, verification, and energy efficiency. He has made significant contributions to geometry types for graphics programming, timeline types for modular hardware design, and virtual machines for FPGA programming. Among his notable recognitions are the IEEE TCCA Young Computer Architect Award (2021), NSF CAREER award (2019), and multiple Distinguished Artifact Awards at major conferences. He has advised numerous Ph.D. students who have gone on to positions at institutions like Wellesley College, Northwestern University, and Amazon. Sampson is actively involved in academic service, serving on program committees for major conferences including PLDI, ASPLOS, and ISCA. He has also held leadership roles such as ACM SIGARCH Board of Directors (2023-2025) and SIGPLAN Information Director. His teaching at Cornell includes courses on computer systems, programming languages, and advanced compilers.

• Embedded Systems
• Cyber-physical Systems
• Hardware-Software Co-design
• +4 more

Prof. Nikolaos Voros is a Professor at the Department of Computer and Electrical Engineering, University of the Peloponnese. He holds a PhD (2001) and Diploma (1996) in Computer and Informatics Engineering from the University of Patras. He leads the Embedded Systems Laboratory , an official Digital Innovation Hub of the European Commission. His research focuses on embedded/cyber-physical systems, including specification techniques, hardware-software co-design, formal refinement, and IoT platforms. He has coordinated over 30 EU-funded projects, including Horizon 2020 initiatives like ARGO and RADIO. He serves as an associate editor for journals like IEEE Transactions on Nanotechnology and has authored multiple books on system-level design and reconfigurable systems. He directs the Master's program 'Smart ICT Services & Infrastructures' and organizes international conferences like ISVLSI and ARC. Education: Diploma in Computer and Informatics Engineering (1996), University of Patras PhD in Computer and Informatics Engineering (2001), University of Patras Research Interests: Embedded systems, cyber-physical systems, hardware-software co-design, formal methods, IoT, and AI-driven assistive technologies. His work emphasizes safety-critical systems, real-time applications, and EU-funded innovations. Grants & Projects: Scientific coordinator of Horizon 2020 projects ARGO and RADIO. Managed FP7 projects ALMA and ARMOR. Over 30 EU-funded initiatives in embedded systems and cyber-physical systems. Labs & Teams: Leads the Embedded Systems and Applications Design Laboratory , a European Commission-recognized hub for innovation in embedded systems and IoT platforms.

Anastasios GounarisView profile

Professor

• Distributed Databases
• Autonomous data processing
• Big Data Management
• +7 more

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.

• Computational Mathematics
• Numerical Analysis
• Fluid Dynamics
• +3 more

Delis Anargyros is a Professor of Computational Mathematics at the School of Production Engineering & Management, Technical University of Crete. He holds a B.Sc. in Mathematics from the University of Crete (1993), an M.Sc. in Numerical Analysis and Computing from the University of Manchester (1994), and a Ph.D. in Applied and Computational Mathematics from the University of the West of England (1998). His academic career includes roles as Director of the MSc in Applied Mathematics program (2019–2023) and membership in research groups such as the Turbomachines & Fluid Dynamics Laboratory and the Applied Mathematics and Computers Laboratory (AMCL). B.Sc. Mathematics, University of Crete M.Sc. Numerical Analysis, University of Manchester Ph.D. Applied and Computational Mathematics, University of the West of England His research focuses on computational methods for fluid dynamics (e.g., shallow water equations, Boussinesq-type models), traffic flow modeling, and numerical analysis. Notable contributions include finite volume schemes for hydraulic and traffic systems, and collaborative projects like TRAMAN21 (traffic management) and C-NORA (transport systems control). He has advised on grants involving numerical methods for environmental systems and is active in coastal engineering applications. Recent work includes acoustic streaming simulations, wind turbine optimization, and PDE-based traffic control algorithms. He leads the MSc in Applied Mathematics and collaborates with institutions like IACM-FORTH and the Coastal Information Research Unit (CIRUM). His current projects address multi-lane traffic dynamics, cooperative vehicle systems, and unstructured mesh simulations for coastal and fluid dynamics problems.

Panagiotis StamatopoulosView profile

Assistant Professor

• Artificial Intelligence
• Constraint Programming
• Logic Programming
• +9 more

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.

Georgia KoloniariView profile

Associate Professor

• Social Networks
• Graph Databases
• Distributed Systems
• +4 more

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.

Dominik HelmView profile

Professor

• Program Analysis
• Static Analysis
• Call Graph Algorithms
• +5 more

Dominik Helm serves as an interim professor at the University of Duisburg-Essen and is a researcher at the Software Technology Group, Technical University of Darmstadt since 2018. He holds a Dr.-Ing. degree and serves as the lead maintainer of the OPAL static analysis framework. Helm is also affiliated with ATHENE (National Research Center for Applied Cybersecurity) and CRISP, where he contributes to cybersecurity research focusing on 'Security at Large' for comprehensive systems. Dr. Helm's research centers on modularization and automatic parallelization of collaborative static analyses to improve precision, soundness, and performance. His work specifically targets the OPAL framework for Java VM bytecode, with expertise spanning purity and immutability analyses, modular call graphs, and bug/security vulnerability detection. His research bridges theoretical foundations with practical implementation, addressing real-world challenges in static analysis. His publication record shows consistent contributions to top-tier conferences (PLDI, ISSTA, ESEC/FSE, ASE) with recent work focusing on cross-language analysis, modular call graph algorithms, and evaluation of static analysis precision. Helm has demonstrated particular interest in making static analysis more practical through modularity and parallelization. As an educator, Helm teaches courses including Software Engineering, Type Systems, Quality Assurance, and Program Analysis at the University of Duisburg-Essen. He has supervised multiple student teams through bachelor and master projects, guiding research on call graphs for dynamic languages, IDE solvers, alias analysis, and immutability analysis. Dr. Helm actively contributes to the academic community through program committee service for ICSE, ISSTA, ASE, and other major conferences. His work with the OPAL framework represents a significant contribution to the static analysis community, providing a platform for developing and composing modular analyses for Java bytecode processing and analysis.

• Real-time computer resource management systems
• Heterogeneous memory systems
• Programming models for heterogeneous computing systems
• +2 more

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.

• Computer Architecture
• Reconfigurable Computing
• Hardware Acceleration
• +6 more

Dionysios Pneumatikatos is a Professor at the School of Electrical and Computer Engineering of the National Technical University of Athens (NTUA) since September 2019. Previously, he served as a Professor and Chair of the Department of Electronic and Computing Engineering at the Technical University of Crete (2000–2019) and is an Associate Researcher at the Foundation for Research and Technology (FORTH) since 1997. His primary affiliations include the Computing Systems Laboratory (CSLab) at NTUA and the Computer Architecture and VLSI Systems (CARV) Laboratory at FORTH. Education: B.Sc. in Computer Science, University of Crete (1989) M.Sc. and Ph.D. in Computer Science, University of Wisconsin–Madison (1991, 1995) Research Interests: Computer Architecture Reconfigurable Computing Hardware Acceleration (e.g., FPGA, RISC-V) Energy-Efficient Systems Reliable System Design Application-Specific Architectures His work focuses on heterogeneous parallel systems , bioinformatics accelerators , and virtualization frameworks for reconfigurable platforms . Recent Projects & Contributions: Coordinator of the FASTER (FP7) project Principal Investigator in EDRA (H2020), EXTRA , and dReDBox Key roles in AXIOM , DeSyRe , and VPLANET These projects explore FPGA-based HPC systems , RISC-V ecosystems , and disaggregated data center architectures . Teaching & Mentorship: Teaches courses on Computer Architecture , Parallel Processing , and Logic Design at NTUA and TU Crete Supervised multiple national/EU projects, fostering interdisciplinary research in embedded and high-performance systems Labs & Networks: Active member of the HiPEAC European Network Program Committee roles at ISCA , FPL , and DATE Led the 21st International Conference on Field-Programmable Logic and Applications (FPL)