جست‌وجوی استاد و پژوهشگر

• Computer Architecture
• Reconfigurable Computing
• Hardware Acceleration
• +۶ مورد دیگر

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)

Georgios Kornarosمشاهده پروفایل

دانشیار

• Digital Design
• Computer Architecture
• Embedded Systems
• +۵ مورد دیگر

Georgios Kornaros is an Associate Professor at the Department of Electrical and Computer Engineering (E.M.E.) of the Hellenic Mediterranean University (EL.ME.PA), specializing in Digital Design. He directs the ISCA Lab (Intelligent Systems and Computer Architecture Laboratory) under the School of Engineering. His teaching responsibilities include courses on Computer Organization, Digital Circuits, Computer Architecture, and Embedded Systems. Education: PhD, Electronic and Computer Engineering, Technical University of Crete (2013) Master's Degree, Computer Science, University of Crete (1997) Diploma in Engineering, Computer Engineering and Informatics, Technical University of Patras (1992) Research Interests: Multicore/heterogeneous architectures, embedded systems, cyber-physical systems, energy-efficient and secure processing. His work includes contributions to EU projects like VIRTICAL, SAVE, TRESCCA, DREAMS, TAPPS, and AVANGARD. He has published over 70 papers and edited the book “MultiCore Embedded Systems” (CRC Press). Professional Experience: Collaborated with the Institute of Informatics (ITE) on VLSI system design, led the Digital Integrated Systems group at ISD SA, and worked on network processor architectures at Ellemedia Technologies. He contributed to projects like EU/FP6 Micro2DNA and Lab-On-Chip-ATEI-CRETE. Labs/Teams: Director of the ISCA Lab, focusing on advanced embedded systems and cyber-physical systems design.

Haridimos Vergosمشاهده پروفایل

استاد

• Arithmetic Circuit Architectures
• VLSI Design and Test
• Fault Tolerant Systems
• +۳ مورد دیگر

Haridimos Vergos serves as a Professor in the Computer Engineering and Informatics Department (CEID) at the University of Patras, Greece. He has held faculty positions since 1998 and currently directs the Microelectronics Laboratory while teaching core undergraduate and graduate courses in computer systems and fault tolerance. His educational foundation includes a Computer Engineering Diploma (1991) and Ph.D. (1996) from CEID, University of Patras, where his doctoral research pioneered commercially adopted techniques for fault-tolerant cache memory architectures. This academic journey followed industry experience at Atmel Inc., where he co-developed the world's first IEEE 802.11-compliant medium access control processor. Professor Vergos's research spans arithmetic circuit architectures , VLSI design , fault tolerance mechanisms , and rapid prototyping using programmable logic . With over 100 publications and a worldwide patent for network processor design, his work bridges theoretical innovation and industrial application in digital systems. He maintains active roles as a Senior IEEE Member and reviewer for top-tier conferences and journals in his field. As an educator, he teaches Introduction to Computer Systems and E-CAD for Digital Hardware at the undergraduate level alongside the graduate course Fault Tolerant Computer Systems . His development of the AT91 ARM-based platform revolutionized laboratory instruction for assembly language and microcomputer courses across CEID. Administratively, he has served three terms as Head of the Hardware and Computer Architecture Division (2008-2009, 2014-2015, 2023-2024) and two terms as Director of the Computer Center (2011-2012, 2013-2014). His leadership extends to supervising laboratory development and maintaining regular office hours Monday-Thursday for student engagement.

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.

Pavlos Petoumenosمشاهده پروفایل

استادیار

• Compiler Optimization
• Runtime Systems
• Energy Efficient Computing
• +۶ مورد دیگر

Pavlos Petoumenos is a Lecturer (Assistant Professor) in the Department of Computer Science at the University of Manchester and a Research Fellow of the Royal Academy of Engineering. He leads research within the Advanced Processor Technology (APT) group, focusing on compiler optimization and energy-efficient computing. Previously, he worked as a Research Associate and Senior Researcher at the University of Edinburgh under Hugh Leather. His research centers on compilers, runtime systems, and development tools designed to help programmers write fast, energy-efficient programs with minimal effort. With electronic systems consuming 10% of global electricity (projected to reach 20% by 2030), his work addresses the critical challenge of bridging the complexity gap between programmers and modern energy-efficient hardware. Key research areas include compiler optimization, machine learning applications in compilation, code size reduction, and quantum-classical programming integration. His recent publications reveal strong trends in applying machine learning to compiler optimization, particularly through active learning techniques and deep learning models. The research spans multiple domains including function merging, branch fusion, loop transformations, and energy profiling, with significant contributions to quantum programming language design. His work consistently targets real-world applications in multicore processors and interactive mobile environments. Award highlights include: Best Paper Award at CGO 2019 Distinguished Paper Award at ISSTA 2018 Best Paper Award at PACT 2017 Best Paper Award at CGO 2017 Best Paper Award at IISWC 2014 Royal Academy of Engineering Research Fellowship Petoumenos actively contributes to the research community through mentoring PhD students, organizing the biennial International Workshop on Code Optimisation for Multi and Many-Cores (COSMIC), and co-hosting the Compucast podcast where he serves as chief editor. His collaborations span multiple institutions including the University of Edinburgh, University of Lancaster, and University of St Andrews. He has secured significant research impact through tools like BenchPress and F3M that address practical challenges in compiler design and optimization. He leads the Advanced Processor Technology group and contributes to the Compucast podcast, which features interviews with computer science researchers, academic and industry news, and technical discussions. The podcast represents a collaboration between multiple UK universities and serves as an important outreach platform for computer science research.

Fabrice Rastelloمشاهده پروفایل

پژوهشگر

• Automatic Parallelization
• Compiler Back-End Optimization
• Static Single Assignment (SSA)
• +۴ مورد دیگر

Fabrice Rastello is a leading researcher at Inria, France, where he serves as the leader of the CORSE (Compiler Optimization and Runtime SystEms) research team. His expertise spans automatic parallelization and compiler back-end optimization, with significant contributions to Static Single Assignment (SSA) form theory and register allocation techniques. Affiliated with University Grenoble Alpes - Inria - CNRS - Grenoble INP - LIG, he maintains an active research profile with continuous publications in top-tier conferences including PLDI, CGO, and PPoPP. His research interests focus on combining theoretical foundations with practical applications in compiler design. Key areas include automatic parallelization techniques (building on his PhD work on tiling as a loop transformation), compiler back-end optimization, and the emerging field of hybrid compilation that bridges static compilation with runtime techniques. He has made significant contributions to register allocation for JIT compilation in the context of SSA properties, advising three PhD students on related topics. Analysis of his recent publications reveals a strong trend toward data movement optimization, with numerous papers on I/O complexity bounds, cache modeling, and microarchitectural performance analysis. His work spans both theoretical computer science and practical applications, including contributions to healthcare technology during the pandemic with the eSpiro ventilator project. He has also explored intersections between compiler techniques and machine learning, particularly in using ML for performance modeling. Fabrice Rastello serves on program committees for major conferences in the field, including PLDI, CGO, and CC, demonstrating his standing in the research community. His 2022 book 'SSA-based Compiler Design' as editor further establishes his authority in compiler theory and practice. His recent work shows continued innovation in compiler techniques, with publications in 2024 demonstrating ongoing research activity across multiple domains including cache modeling, program analysis, and machine learning applications.

• Biomedical Engineering
• Entropy Analysis
• Bubble Entropy
• +۱۳ مورد دیگر

George Manis is an Associate Professor in the Department of Computer Science and Engineering at the School of Engineering, University of Ioannina, Greece. He is a member of the IPAN lab and serves as a Guest Editor for a special issue on 'Entropy in Biomedical Engineering' in the journal Entropy . His research bridges biomedical engineering and computational systems, with a strong focus on entropy-based methods and machine learning for physiological signal analysis. PhD in Computer Science, National Technical University of Athens (1993–1997) MSc in Advanced Methods in Computer Science, Queen Mary, University of London (1992–1993) Diploma in Electrical and Computer Engineering, National Technical University of Athens (1987–1992) His primary research interests include Biomedical Engineering , Entropy Analysis (especially Bubble Entropy), Fast Computation Algorithms , Biomedical Data Classification , Heart Rate Analysis , and Computing Systems with emphasis on parallelization. He teaches postgraduate courses in data analysis and biomedical data processing, and undergraduate courses in compilers. The analysis of his recent publications reveals a consistent trend in developing computationally efficient and robust methods for entropy estimation and classification in biomedical contexts. His work on Bubble Entropy eliminates the need for scale parameters and enhances stability, while his improvements to Random Forests and Support Vector Machines target enhanced diagnostic accuracy in diseases like Alzheimer’s and heart conditions. In computing systems, he has pioneered compiler technologies for parallelizing recursive functions and optimizing runtime scheduling. No scientific awards are explicitly mentioned in the provided text. George Manis has advised or collaborated with several researchers, including Evanthia Tripoliti, Dimitrios Fotiadis, Petros Arsenos, Argyro Kampouraki, and others, indicating active supervision and research leadership. He is currently involved in funded projects such as Palimpsest , an interactive museum system, and Homore , a smart monitoring system for elderly individuals. These projects reflect his interest in applying advanced computing to real-world biomedical and societal challenges. He is affiliated with the IPAN lab and contributes to the development of innovative algorithms for entropy computation and parallel processing. His work on the C2μTC/SL compiler and Ariadne system demonstrates deep expertise in compiler design for specialized architectures like the SVP processor.

Iakovos Mavroidisمشاهده پروفایل

پژوهشگر

• Computer Architecture
• VLSI Design
• Heterogeneous Computing
• +۳ مورد دیگر

Iakovos Mavroidis serves as a Collaborating Researcher at the Computer Architecture and VLSI Systems Lab (CARV) of the Foundation for Research and Technology - Hellas (FORTH) and as a Researcher at the Telecommunication Systems Institute (TSI) within the Electronic and Computer Engineering Department of the Technical University of Crete (TUC). He additionally holds a Visiting Instructor position in Computer Science at the University of Crete since 2012. His academic credentials include a Ph.D. in Electronic & Computer Engineering from TUC (2011), an M.S. in Electrical Engineering & Computer Sciences from UC Berkeley (2001), and a B.S. in Computer Science from the University of Crete (1999). Research focuses on Computer Architecture and VLSI Design with specialization in Heterogeneous Computing and Energy-Efficient Systems . His work drives innovation in FPGA acceleration and network processor design for high-performance computing environments. He currently coordinates EU projects ECOSCALE (energy-efficient exascale computing) and RAPID (secure remote acceleration), while leading tasks in EUROSERVER and ExaNeSt. Past projects include FASTCUDA (as Technical Manager) and VPLANET. Scientific recognition includes: Two gold medals in national Mathematics/Computer Science competitions Two bronze medals in national Mathematics/Computer Science competitions Two honorable mentions in International Olympiads for Mathematics/Computer Science Active in both the CARV laboratory at FORTH and TSI research group at TUC, he directs development of next-generation computer architecture solutions.

Aristides Efthymiouمشاهده پروفایل

استادیار

• Microarchitecture of Computer Systems
• Digital Systems Design
• VLSI Circuits
• +۲ مورد دیگر

Aristides Efthymiou is an Assistant Professor at the Department of Computer Engineering and Informatics, University of Ioannina. He holds a PhD from the University of Manchester (2002) and has held academic positions at the University of Edinburgh (2004–2011) and research roles at the Institute of Microelectronics, National Center for Scientific Research 'Demokritos,' and Integrated Systems Development SA. His research focuses on microarchitecture, digital systems design, and VLSI circuits. Education: Bachelor's and postgraduate diploma in Computer Science, University of Crete (1993–1995) PhD in Computer Science, University of Manchester (2002) Research interests include approximate computing, visible light communications (VLC), and energy-efficient circuit design. He is a member of the VLSI Systems and Computer Architecture Laboratory (VCAS), contributing to projects like the Artemis Program on supply chain traceability. His work spans over 25 international publications, emphasizing hardware optimization and signal processing in VLC systems. Awards: None explicitly mentioned. Lab and Team: Leads the VCAS lab, collaborating with faculty members like Professors George Tsiatouchas and Chrysovalantis Kavousianos. Supervises doctoral candidates in areas like approximate multipliers and VLC systems.

• Computer Architecture
• Processor Design
• Memory Systems
• +۴ مورد دیگر

Keramidas Georgios is an Assistant Professor at the Department of Computer Science, Aristotle University of Thessaloniki. His research focuses on Computer Architecture , including Processor Architecture, Memory Subsystem Design, Multi-core Shared Memory Processors, Graphics Processors, Power Consumption Modeling, and Fault-Tolerant Architectures. PhD in Electrical Engineering and Computer Technology (University of Patras, 2008) Master's in Integrated Hardware and Software Systems (University of Patras, 2002) Diploma in Electrical Engineering and Computer Technology (University of Patras, 2000) He has professional experience with multiple institutions, including Hellenic Open University, Think Silicon SA, University of Peloponnese, and European Commission's Institute of Industrial Systems.

Giorgio Lucarelliمشاهده پروفایل

مدرس

• Algorithms and Complexity
• Approximation and Online Algorithms
• Power-Aware Scheduling
• +۳ مورد دیگر

Giorgio Lucarelli is a Teaching and Research Associate at ENSIMAG, Grenoble Institute of Technology, and a member of the DataMove team at INRIA and LIG. He earned his PhD in Theoretical Computer Science from Athens University of Economics and Business in 2009, preceded by an M.Sc. in Computer Science (2005) and a B.Sc. in Informatics (2003). PhD Advisor: Professor Ioannis Milis Key Research Areas: Algorithms and Complexity, Power-Aware Scheduling, Graph Theory, Online Optimization His work focuses on energy-efficient scheduling in large-scale systems, with applications to heterogeneous architectures , optical networks , and MapReduce jobs . Recent publications explore online scheduling, dual-fitting methods, and geometric constraints in resource allocation. Collaborations span institutions like INRIA , LIG , and University of Illinois . Notable trends in his research include speed-scaling algorithms , non-preemptive scheduling , and primal-dual optimization . While no explicit awards are listed, his contributions to exact and approximation algorithms for problems like max-edge coloring and densest k-subgraph highlight his expertise in combinatorial optimization. As an educator, he teaches modules on Unix , Imperative Programming , Operating Systems , and Algorithm Design at ENSIMAG, and contributes to the MSc in Informatics (MOSIG) at Grenoble.

• Quantum Computing
• Quantum Simulation
• Quantum Machine Learning
• +۳ مورد دیگر

Dimitris Angelakis is a full Professor of Quantum Physics and Quantum Computing at the School of Electrical and Computer Engineering (ECE) at the Technical University of Crete (TUC), where he has been a tenured faculty member since December 2007. He is currently on leave from TUC while maintaining his position. He also serves as a Visiting Professor at the Centre for Quantum Technologies (CQT) at the National University of Singapore (NUS). His professional roles include being the Greek representative in the Quantum Community Network (QCN) of the European Flagship in Quantum Technologies and a member of the National Council for Research Technology and Innovation of Greece since 2020. Angelakis completed his B.Sc. in Physics at the University of Crete (1993-1997), where he graduated 2nd in a class of 100 students. He earned his M.Sc. in Theoretical Physics with specialization in Atomic and Molecular Physics from the University of Crete (1997-1998), followed by a Ph.D. in Theoretical Quantum Optics from Imperial College London (1998-2002), supervised by Professor Sir Peter Knight FRS. His doctoral thesis received the 2002 Institute of Physics UK Quantum Electronics Theses Award. His research focuses on quantum simulation and computation, quantum machine learning and optimization, and applications of quantum computing to industrial problems. His group works on quantum technologies with a focus on implementations of quantum computation and quantum simulation with quantum optical systems, with research applicable to developing high-performance quantum processors and simulators and fundamental science in strongly correlated quantum systems. His recent work spans quantum algorithms for vehicle routing, quantum chemistry, nonlinear dynamics, and applications of topological data analysis to quantum physics. Angelakis has received numerous prestigious awards including the Google Quantum Innovation Award (2018), the Greek Ministry of Defense Distinguished Young Greek Scientist Award (2004), and the Institute of Physics UK Quantum Electronics and Photonics Thesis Prize (2002). He has served on editorial boards for European Physical Journal: Quantum Technology and Advanced Quantum Technology, and has been an evaluator for research proposals submitted to various European funding bodies. As an educator and mentor, Angelakis has supervised numerous PhD students including Chee Chong Hian (2024), Benjamin Tan (2023), Supanut Thanasilp (2022), and Jirawat Tangpanitanon (2019), among others. His group has secured significant research funding from collaborations with industry partners including Google, ExxonMobil, and Thales. His laboratory at CQT focuses on quantum computation and quantum simulation with near-term quantum devices for industry and business applications.

• Optical Communications
• Telecommunications
• Photonics
• +۷ مورد دیگر

Professor Miliou N. Amalia is a faculty member at the Department of Informatics, Aristotle University of Thessaloniki. She holds a PhD in Electrical & Computer Engineering from the University of Florida. Her academic roles include Professor and ERASMUS Coordinator. Her research focuses on optical communications, including optoelectronic circuits, 5G networks, and secure optical systems. She has supervised numerous students and contributed to projects like 5G-PHOS and ePhos. Education: BSc Physics (Aristotle University), MSc/PhD in Electrical Engineering (University of Florida) Research interests span optical switching, converged fiber-wireless technologies, and high-speed optical memory architectures. Her work includes over 100 publications in journals like IEEE/OSA and conferences such as OFC and ECOC. She leads initiatives in optical network intelligence and reconfigurable data planes. Administrative roles include curriculum development and international program coordination.

• Quantum Technologies
• Quantum Computing
• Quantum Simulation
• +۳ مورد دیگر

Dimitris Angelakis is a Full Professor of Quantum Physics and Quantum Computing at the Technical University of Crete's School of Electrical and Computer Engineering. He also holds a Visiting Professor appointment at Singapore's Centre for Quantum Technologies. His work bridges quantum simulations with industrial applications, particularly focusing on quantum processors for high-performance computing and fundamental research in strongly correlated quantum systems. He represents Greece in the European Flagship in Quantum Technologies' Quantum Community Network and serves on Greece's National Council for Research Technology and Innovation. Education: PhD in Theoretical Quantum Optics (Imperial College, 2002), MSc in Atomic and Molecular Physics (University of Crete, 1998), BSc in Physics (University of Crete, 1997) His research explores quantum simulation and computation, quantum machine learning, optimization, and industrial applications of quantum computing. The group develops hardware-efficient algorithms for NISQ devices and investigates fundamental quantum phenomena like many-body scarring and topological states. Recent work includes resource-efficient quantum circuits for nonlinear dynamics and quantum chemistry applications. Scientific recognition includes: Google Quantum Innovation Award (2018) Greek Ministry of Defense Distinguished Young Scientist Award (2004) Institute of Physics UK Quantum Electronics Thesis Prize (2002) St Catharine’s College Cambridge Junior Research Fellowship (2001-2004) Valerie Myerscough PhD Prize (2000) Prof Angelakis has mentored numerous PhD students including Chong Hian Chee, Muhammad Umer, Harvey Cao, and Jirawat Porras. His group collaborates globally with institutions like NUS Singapore, Cambridge University, and Google Quantum AI. They actively contribute to professional service through editorial roles in European Physical Journal: Quantum Technology and Advanced Quantum Technology .

• Algorithms and Complexity
• Combinatorial Optimization
• Graph Theory
• +۳ مورد دیگر

Ioannis Milis is a Professor at the Department of Informatics, School of Information Sciences and Technology, Athens University of Economics and Business (AUEB). He holds a PhD in Computer Science from AUEB (1989) and a BS in Electrical Engineering from Democritus University of Thrace (1983). As a Marie Curie fellow, he conducted post-doctoral research at LRI Orsay, INRIA-Sophia Antipolis, and NTUA (1992-1996). Education: BS, Electrical Engineering, Democritus University of Thrace (1983) PhD, Computer Science, Athens University of Economics and Business (1989) His research focuses on algorithms and complexity, particularly exact and approximation algorithms for optimization problems in computer/communication systems, combinatorial optimization, graph theory, and game theory. He is a member of AUEB's Theory Group. The recent articles span areas like Scheduling MapReduce jobs , Densest k-subgraph algorithms , Bin packing with colocations , and Speed scaling for lateness minimization . These works emphasize theoretical computer science, optimization, and energy-aware computing. He has contributed to organizing major conferences including the Athens Colloquium on Algorithms and Complexity (ACAC) , ISCO Symposia , and APEX Workshops . His involvement in program committees and research projects under Greek national programs (PENED, HRAKLEITOS II) and AUEB's Basic Research Funding Program highlights his academic leadership. As a teacher, he has delivered courses on Algorithms , Design and Analysis of Algorithms , and Advanced Algorithms at both undergraduate and postgraduate levels at AUEB.