جست‌وجوی استاد و پژوهشگر

Foivos Zakkakمشاهده پروفایل

پژوهشگر

• Process Virtual Machines
• Managed Runtime Systems
• Garbage Collection Systems
• +۳ مورد دیگر

Foivos Zakkak is a Software Engineer at Red Hat’s Java platform team, focusing on Mandrel, GraalVM, and Quarkus. Previously, he held academic roles including Research Associate and Research Software Engineer at the Advanced Processor Technologies (APT) group at the University of Manchester, and Postdoctoral Researcher at the Computer Architecture and VLSI Systems Laboratory (CARV) of FORTH-ICS. He holds a PhD, MSc, and BSc in Computer Science from the University of Crete. His research interests center around Process Virtual Machines, Managed Runtime Systems, Garbage Collection, and Systems Software. Key projects include leading the Maxine VM (a metacircular Java-in-Java VM), developing DiSquawk (a JVM for non-cache-coherent architectures), and contributions to task-based runtime systems like TPC, BDDT, and PARTEE. His work spans optimizing managed applications for NUMA architectures and reducing memory pressure in big data frameworks. Publications include studies on NUMA system performance, memory analysis of Java benchmarks, and JIT compilation on ARM architectures. His technical expertise extends to system software development and performance engineering.

• 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.

Bradford L. Chamberlainمشاهده پروفایل

استاد مدعو

• Parallel Computing
• Programming Languages
• High-Performance Computing
• +۳ مورد دیگر

Bradford L. Chamberlain is a Distinguished Technologist at Hewlett Packard Enterprise and an Affiliate Professor in the Paul G. Allen School of Computer Science and Engineering at the University of Washington. With over two decades of experience in high-performance computing, he has made significant contributions to parallel programming languages, particularly as the technical lead of the Chapel programming language project since 2006. His educational background includes: Ph.D. in Computer Science & Engineering from the University of Washington (2001) M.S. in Computer Science & Engineering from the University of Washington (1995) B.S. in Computer Science from Stanford University (1992) Chamberlain's research focuses on improving programmer productivity for high-performance computing through innovative language design, compiler techniques, and runtime systems. His work centers around the Chapel programming language, which aims to provide a multiresolution programming model that allows developers to express parallelism at varying levels of abstraction while maintaining performance across diverse architectures from laptops to supercomputers. His research spans parallel language design, compiler optimization, data distribution strategies, locality management, and performance portability. Chapel builds on his earlier work with the ZPL language, where he developed region-based approaches for sparse parallel computing. His publication record over the past fifteen years demonstrates a consistent focus on practical approaches to parallel programming, with recent work emphasizing data locality, heterogeneous architectures, and performance portability. His articles show an evolution from foundational language design concepts to increasingly sophisticated implementations addressing real-world HPC challenges, particularly in the areas of domain mapping, iterator abstractions, and memory management for large-scale systems. As a Distinguished Technologist at HPE, Chamberlain has played a key role in growing the Chapel project from a modest effort to one involving nearly 20 full-time developers. His leadership has positioned Chapel as one of the most promising languages for addressing the challenge of productive parallel programming at scale. He has secured funding, established collaborations with academia and industry, and performed extensive outreach through talks, tutorials, and research visits. At the University of Washington, Chamberlain serves as a liaison between academia and industry, participating in student committees, teaching graduate courses like Parallel Computation, and fostering communication between the department and HPE/Cray. His teaching experience spans from undergraduate data structures to graduate seminars on parallel programming environments. He has also volunteered as a tutor for underrepresented students in computer science.

• Compilers
• Computer Architecture
• High-Performance Storage
• +۵ مورد دیگر

Mahmut Taylan Kandemir is a Professor in the Department of Computer Science at Pennsylvania State University. His research spans optimizing compilers, runtime systems, embedded systems, I/O, high-performance storage, and power-aware computing. He leads the Microsystems Design Lab and collaborates with institutions like Argonne National Lab, Microsoft, and Intel. Education: B.S. Computer Engineering, Istanbul Technical University (1988) M.S. Computer Engineering, Istanbul Technical University (1992) Ph.D. Computer Science, Syracuse University (1999) Research Focus: Dr. Kandemir's work integrates hardware-software co-design to address challenges in multi-core architectures, non-volatile memory systems, and energy efficiency. His recent projects explore 3D NAND flash optimization, near-data computing, and reliability in heterogeneous systems. Key themes include reducing data movement overhead, enhancing storage longevity, and developing compiler-directed solutions for emerging hardware. Publications: His articles frequently appear in premier venues (PLDI, ASPLOS, HPCA) and emphasize memory hierarchy optimization, security, and parallelism. Trends include hardware-assisted resilience, approximate concurrency, and energy-efficient VR streaming. Awards: Premier Research Award, Penn State Engineering Society (2017) IEEE Fellow NSF CAREER Award (2000) Best Paper Awards (IPDPS 2008, ICPADS 2006) Top ACM Digital Library Download (2006) Advising & Grants: He has graduated 32 Ph.D. and 20 master's students, with 15 Ph.D. and 5 master's students currently advised. His research is funded by NSF, DARPA, DOE, and industry partners. Active projects include: NSF/OAC: Re-Engineering Galaxy for Performance (2019-2023) NSF/SHF: 3D NAND Flash Optimization (2019-2022) NSF/SPX: Heterogeneous Intermittent Accelerators (2018-2022) Labs & Teams: Leads the Microsystems Design Lab, focusing on architecture-compiler co-design. Collaborates with the Storage Systems Research Center and heterogeneous computing groups at Penn State.

Doug Leaمشاهده پروفایل

استاد

• Concurrency
• Parallelism
• Distributed Systems
• +۳ مورد دیگر

Doug Lea serves as Professor of Computer Science at the State University of New York at Oswego, where he has established himself as a leading authority in concurrent and parallel systems. His extensive contributions span software library development, standardization efforts, and academic leadership across major programming language conferences. His research focuses on concurrency, parallelism, distributed systems, and reusable software components . Lea's work bridges theoretical foundations with practical implementations, particularly evident in his widely adopted Java concurrency libraries. His research interests stem from deep engagement with object-oriented design principles and implementation techniques for complex computing systems. Lea's scholarly impact is reflected in his designation as an ACM Fellow . His contributions extend beyond publications to significant influence on industry standards and educational practices in concurrent programming. As an active academic leader, Lea has served on program committees for premier conferences including PLDI, SPLASH, ECOOP, and PPoPP since 2014. His ongoing participation through 2026 demonstrates sustained engagement with the programming languages community. His professional website at http://gee.cs.oswego.edu serves as a resource hub for his technical contributions.

Thomas Lembergerمشاهده پروفایل

پژوهشگر

• Software Verification
• Code Analysis
• Software Testing
• +۵ مورد دیگر

Dr. Thomas Lemberger is a researcher at the Software and Computational Systems Lab in the Department of Computer Science at Ludwig-Maximilians-Universität München (LMU Munich). He holds a PhD and is actively involved in software verification research, particularly with the CPAchecker framework. His work spans multiple aspects of formal methods and software testing. Dr. Lemberger's research focuses on software verification, code analysis, software testing, fault localization, and program repair. His work explores cooperative approaches across test generation and formal verification, aiming to combine the strengths of different verification techniques. He has made significant contributions to distributed verification, witness-based validation, and fault localization techniques. His research often addresses practical challenges in scaling verification to real-world software systems. His publication record shows a strong focus on decomposing verification tasks into manageable components, improving verification efficiency through parallelization, and creating practical tools that bridge the gap between theoretical verification techniques and practical software development workflows. Recent work emphasizes cooperative verification approaches that combine multiple techniques to overcome individual limitations. Dr. Lemberger has been nominated for best paper at SPIN 2024 for his work on fault localization with verification witnesses, highlighting the recognition of his contributions to the field. He actively mentors numerous BSc and MSc students on various verification-related topics, covering areas from microservice verification to automatic program repair. His research is supported by German Research Foundation (DFG) projects including DFG-CONVEY, DFG-COOP, and DFG-IDEFIX. Dr. Lemberger is a key contributor to the CPAchecker verification framework and has developed tools like CoVeriTeam GUI that enable no-code composition of verification workflows. His work bridges theoretical verification research with practical tool development for real-world software engineering challenges.

Santosh Pandeمشاهده پروفایل

استاد

• Program Analysis
• Software Security
• Compiler Optimizations
• +۳ مورد دیگر

Santosh Pande is a Professor and Associate Chair for Graduate Studies in the School of Computer Science at Georgia Institute of Technology. His research focuses on compiler analysis and optimizations, providing deep insights into software behavior to improve various system properties through automated methods. His research interests include: Program Analysis for Security Compiler Optimizations and security implications Compiler-OS interactions for resource management Real-time software analysis Machine learning systems performance optimization Dr. Pande's recent publications demonstrate a strong focus on security-oriented compiler techniques, particularly in program debloating to reduce attack surfaces. His work addresses the critical intersection between compiler optimizations and security vulnerabilities, as well as innovative approaches to scheduling and resource allocation through compiler-OS collaboration. Research results show significant performance improvements (2x to 4x) for batch-oriented execution of modern workloads in data-center environments. His research has been consistently funded by: National Science Foundation (NSF) Office of Naval Research (ONR) Defense Advanced Research Projects Agency (DARPA) Air Force Industry partners including Sony, Toshiba, IBM, Motorola, and Infineon Dr. Pande holds a patent on smartcards developed in collaboration with Infineon. He actively mentors PhD students and seeks "smart and motivated PhD students" to join his research group. His work has resulted in over 100 publications and open-source software contributions. He is affiliated with multiple research centers at Georgia Tech including the Center for Experimental Research in Computer Systems (CERCS) and contributes to the Online Master of Science in Computer Science (OMSCS) program.

Saday Sadayappanمشاهده پروفایل

استاد

• Compiler Optimization
• High-Performance Computing
• Sparse/Dense Matrix Computations
• +۳ مورد دیگر

P. (Saday) Sadayappan is a Professor at the University of Utah's School of Computing, specializing in high-performance computing and compiler optimizations. His research focuses on performance optimization for parallel systems, particularly for tensor computations, sparse matrix operations, and machine learning workloads. He leads multiple NSF and DARPA-funded projects focused on GPU optimization, tensor computations, and scalable machine learning frameworks. Research Interests: Dr. Sadayappan's work spans compiler optimizations for high-performance systems, optimization of sparse/dense matrix/tensor computations, scalable machine learning, and algorithm-architecture co-design. His recent projects include developing performance-portable frameworks for tensor applications and optimizing data locality for scientific computing. Publication Trends: His recent publications (2020-2022) predominantly focus on GPU acceleration of machine learning workloads (especially CNNs), automated I/O complexity analysis, and optimization techniques for sparse matrix/tensor operations. Earlier work (2018-2019) established foundations in GPU code generation for tensor contractions and cache optimization. Awards and Honors: ACM SIGPLAN Most Influential PLDI Paper Award (2018) for A Practical Automatic Polyhedral Parallelizer and Locality Optimizer Active Grants and Projects: NSF: A Comprehensive Framework for Efficient, Scalable, and Performance-Portable Tensor Applications (2022-2027) NIH SBIR: Enabling next generation machine learning for large scale image analysis (2023-2025) NSF: AI Institute for Intelligent CyberInfrastructure (ICICLE) (2021-2026) NSF: Data Locality Optimization for Sparse Matrix/Tensor Computations (2020-2024) DARPA SBIR: Performance Portable Framework for Developing Graph Applications (2017-2022) Teaching: He currently teaches CS 4230/6230 (Parallel and High-Performance Computing) at the University of Utah.

Leonidas Akritidisمشاهده پروفایل

مدرس

• Natural Language Processing
• Deep Machine Learning
• Data Mining
• +۵ مورد دیگر

Leonidas Akritidis serves as a Lecturer at the Department of Science and Technology within the School of Science and Technology at International Hellenic University. He holds a PhD and Diploma in Electrical and Computer Engineering from University of Thessaly and Aristotle University of Thessaloniki respectively. His educational background includes: PhD in Electrical and Computer Engineering, University of Thessaly (2007-2013) Diploma in Electrical and Computer Engineering, Aristotle University of Thessaloniki (1997-2003) Akritidis specializes in Natural Language Processing, Deep Machine Learning, and Data Mining with particular expertise in short text clustering, dimensionality reduction, and rank aggregation techniques. His research addresses challenges in sparse data environments and high-dimensional feature spaces, developing novel algorithms for text representation and processing. He has contributed significantly to parallel and distributed computing approaches for big data analytics. His publication trends reveal a consistent focus on NLP and machine learning applications, with recent work expanding into generative models for tabular data, medical image analysis, and advanced fault detection systems. The research demonstrates progression from foundational text processing techniques to more complex applications in healthcare, e-commerce, and software engineering. Akritidis has taught multiple courses including Big Data and Cloud Computing, Machine Learning Principles and Concepts, Mobile Application Development, and Web Programming. His research projects include CyberPi (intelligent cyber threat detection), NANOTRIM (transistor sizing optimization), and iMuSe (virtual museum platform). He collaborates extensively with researchers like Panayiotis Bozanis, Miltiadis Alamaniotis, and Athanasios Fevgas, primarily within the Greek academic community.

Theodore Kaskalisمشاهده پروفایل

استاد

• Digital Design
• Embedded Systems
• Computer Programming
• +۳ مورد دیگر

Professor Theodore Kaskalis is a faculty member at the Department of Applied Informatics within the School of Information Sciences at the University of Macedonia, Thessaloniki, Greece. He holds the position of Professor in "Informatics - Digital Systems' Programming", appointed in 2024. His educational background includes: Computer & Informatics Engineer from the Polytechnic School of Patras (1993), graduated with honors (8.62/10). Ph.D. in Parallel Distributed Processing from the Department of Applied Informatics, University of Macedonia (1998), with honors and supported by the Greek State Scholarships Foundation. Graduate of the School of Educational Officers for Vocational and Technical Education (SELETE) (1999), with honors (9.00/10). Professor Kaskalis' research spans several key areas in computing and informatics. His primary interests include Digital Design , Embedded Systems , and Computer Programming , which form the foundation of hardware and software development. Additionally, he focuses on Internet Computing , Parallel and Distributed Processing , and Grid Technologies , reflecting his expertise in large-scale computing environments and networked systems. His work bridges theoretical concepts with practical applications, particularly in educational technology as evidenced by his teaching of courses on digital environments in education. His scientific awards and honors are notable: Graduated with honors (8.62/10) as a Computer & Informatics Engineer from the Polytechnic School of Patras (1993). Ph.D. with honors, supported by a 3-year fellowship from the Greek State Scholarships Foundation (1998). Graduate of SELETE with honors (9.00/10) (1999). Regarding academic advising and research grants, the available information does not specify current students or detailed grant history. However, his extensive publication record (9 books, 19 journal articles, 41 conference papers, and 5 other works) suggests active research and mentorship. His teaching portfolio includes courses such as Application Development and Big Data, Web Programming, and Digital Systems Design, indicating a strong commitment to education. Information about specific laboratories or research teams led by Professor Kaskalis is not provided in the given text.

• Distributed and Parallel Computing
• Peer-to-Peer systems
• Grid Computing
• +۲ مورد دیگر

Prof. Paraskevi Fragopoulou is a Professor of Computer Science at the Department of Electrical & Computer Engineering of the Hellenic Mediterranean University, Heraklion, Crete, Greece. She has held research positions at several European institutions including École Normale Supérieur de Lyon, UNI-C, Université Paris-Sud, and Université de Versailles. Her educational background includes: Diploma in Computer Science from the University of Crete (1989) M.S. in Computer Science from Queen’s University, Canada (1990) Ph.D. in Computer Science from Queen’s University, Canada (1995) Her primary research interests are in the areas of: Distributed and Parallel Computing Peer-to-Peer systems Grid Computing Computer Networks and Communications Internet Technology She has received the following scientific awards: Marie-Curie European Fellowship Prof. Fragopoulou has participated in several projects funded by the European Commission and the Greek Government. There is no mention of specific students she has advised in the provided text. She has performed research in several European Institutions such as the École Normale Supérieur de Lyon (ENS-Lyon) and the Danish Computer Center for Research and Education (UNI-C) where she was part of the parallel scientific computing group. Currently, no specific lab or team is mentioned in the provided text.

Christos Papadopoulos Filelisمشاهده پروفایل

استادیار

• Computational Mathematics
• Mathematical and Computational Physics
• Numerical Methods
• +۶ مورد دیگر

Christos Papadopoulos Filelis is an Assistant Professor at the Department of Electrical and Computer Engineering, Democritus University of Thrace, where he conducts research and teaches courses in computational mathematics and physics. His academic journey began with a Diploma in Electrical and Computer Engineering from Democritus University of Thrace in 2010, followed by a PhD in Numerical Analysis and High Performance Computing from the same institution in 2014. His research interests span Computational Mathematics, Mathematical and Computational Physics, Numerical Methods, Scientific Calculations, High Performance Computing, and Machine Learning applications in Mathematics and Physics. He has made significant contributions to pre-coordinated iterative methods, multi-grid and multi-level methods, parallel computing, cloud computing, and big data analytics. His work bridges theoretical mathematics with practical computational applications across multiple domains. Analysis of his recent publications reveals a strong focus on developing advanced computational techniques for solving complex mathematical problems, with particular emphasis on matrix computations, preconditioning methods, and time series analysis. His research demonstrates a consistent trajectory toward more efficient algorithms for high-performance computing environments, with increasing applications in machine learning and environmental sustainability. Dr. Papadopoulos Filelis has taught undergraduate courses including Physics, Numerical Analysis, Mathematical Software, Scientific Calculations, and Calculus of Changes. He has participated in European (H2020) and National funded projects such as the SFI FinTechNext project (UCC, Ireland), demonstrating his ability to secure competitive research funding. His work with the Physics Laboratory at Democritus University of Thrace involves developing computational frameworks that integrate theoretical physics with advanced numerical methods. He has collaborated extensively with researchers across Europe, particularly in cloud computing and high-performance computing projects that address real-world computational challenges.

• Software Engineering
• Cloud Computing
• Internet of Things
• +۳ مورد دیگر

Ευριπίδης Γ.Μ Πετράκης is a Professor & Laboratory Director at the School of Electrical and Computer Engineering, Technical University of Crete (TUC) since 1999. He holds a Ph.D. in Computer Science (University of Crete, 1993) and a B.Sc. in Physics (National University of Athens, 1985). His research focuses on Cloud Computing, IoT, Semantic Web, and Image Indexing, with over 175 publications and top international recognition including the 2024 AINA Best Paper Award and Stanford's Top 2% Global Impact ranking (2021-2023). Key projects include leading roles in Horizon 2020-funded BorderUAS (2020-2023), MARS smart farming initiative (2018-2021), and FP7-funded FI-STAR (2013-2016). He has pioneered solutions for IoT security (iBoT), edge-cloud computing (DeFog), and semantic service frameworks (OASL). His academic contributions span advanced distributed systems, including Apache Flink-based real-time video processing (Video2Flink) and Kubernetes optimization strategies. He also actively contributes to standards development for IoT interoperability and semantic web services.

• Production Systems
• Business Processes
• Supply Chain Optimization
• +۴ مورد دیگر

George Ioannou is a Professor of Production Management and Business Processes at the Athens University of Economics and Business, where he leads the MBA International Postgraduate Program and the Center for Business Processes and ERP Systems at the Laboratory of Management Science. Previously, he served as Assistant Professor at Virginia Tech's Department of Production and Systems Engineering. His academic journey includes a B.Sc. in Mechanical Engineering from National Technical University of Athens, an M.Sc./DIC in Industrial Robotics/Production Automation from Imperial College London, and a Ph.D. in Mechanical Engineering from the University of Maryland. Current Academic Roles: Professor, Director of MBA Program, Head of ERP Systems Center Prior Academic Roles: Assistant Professor at Virginia Tech Education: B.Sc., M.Sc./DIC, Ph.D. His research focuses on integrating web-based technologies with operational research to optimize production systems, business processes, and supply chains. This spans applications in plant spatial planning, ERP systems, and cultural heritage digitization. He has secured research funding from global organizations including NSF, European Commission, and private sector leaders like Microsoft. Scientific awards include Microsoft's Excellence in Education Award and multiple teaching excellence recognitions for MBA programs. Ioannou serves on the Technical Chamber of Greece (TEE) and the editorial board of Production Planning & Control , with extensive consulting experience for public and private sector entities.

Panayiotis Georgiadisمشاهده پروفایل

استاد

• Distributed Systems
• Simulation
• Management of Information Systems
• +۳ مورد دیگر

Overview Panayiotis Georgiadis is a Professor and Chairman of the Department of Informatics and Telecommunications at the National and Kapodistrian University of Athens (NKUA). He leads the e-Government Laboratory, a pioneering group in Greece focusing on electronic governance, business planning, and public sector IT systems. His career spans over four decades, including roles as Secretary General for Information Systems in the Greek Ministry of Finance (1997–2002) and Senate member of NKUA (1992–1994). Education B.Sc. in Physics (University of Athens, 1969) M.Sc. in Computer Science (Warwick University, 1974) Ph.D. in Computer Science (University of Athens, 1982) Research & Teaching His research focuses on distributed systems, simulation, and e-Government. He teaches courses in Operating Systems, Software Engineering, and Network Performance Evaluation. Key projects include the SMARTGOV platform and the Taxisnet service, which earned the 2001 eEurope Best Electronic Governance Award. He has supervised over 15 Ph.D. theses and contributed to 50+ scientific publications. Awards & Recognition Project of the Month Award (SMARTGOV, 2001) Best Paper Award at ECIS 2001 2001 eEurope Best Electronic Governance Award (Taxisnet) Advising & Labs Head of the e-Gov Lab, which develops tools for public sector IT systems. His students include notable researchers such as D. Anagnostopoulos (expert system design) and St. Gritzalis (information security). He also contributed to the International Journal of Electronic Governance as Editor-in-Chief.