جست‌وجوی استاد و پژوهشگر

• Wireless Communications
• Signal Processing
• Artificial Intelligence
• +۶ مورد دیگر

Prof. Gan Zheng is a Professor in Connected Systems at the School of Engineering, University of Warwick, and a Visiting Professor at Loughborough University. His research focuses on optimizing wireless communication networks through AI, quantum computing, and edge computing. He holds a PhD from The University of Hong Kong (2008) and has held academic roles at University College London, KTH Royal Institute of Technology, and the University of Essex. His research interests include quantum computing for 6G, AI-driven communication protocols, UAV communications, and physical layer security. He has received prestigious awards such as the 2013 IEEE Best Paper Award and was recognized as a Highly-Cited Researcher (2019). Currently, he serves as an Associate Editor for IEEE Transactions on Communications and IEEE Wireless Communications Letters. Prof. Zheng leads the Connected Systems Group and actively contributes to interdisciplinary projects involving space-air-ground integrated networks and adversarial learning in signal classification. His work emphasizes sustainable and secure network design, with applications in industrial IoT and 6G architectures. Awards: IEEE Fellow, IET Fellow, AAIA Fellow Key Projects: RIS-aided anti-jamming systems, UAV-enabled edge computing Grants: Hosts postdoc and PhD scholarships via EPSRC, Royal Academy of Engineering, and others His research group explores cutting-edge topics like digital twin technology, federated learning in D2D networks, and hybrid quantum-classical neural networks.

• Computer Science
• Artificial Intelligence
• Cloud Computing
• +۷ مورد دیگر

Assoc. Prof. Ali Haydar Özer is affiliated with the Department of Computer Engineering at Marmara University's Faculty of Engineering since 2011. He holds a PhD in Computer Engineering from Boğaziçi University (2011), with postgraduate and undergraduate degrees also from Boğaziçi University. His research focuses on electronic market design, auctions, barter exchanges, cloud computing, combinatorial optimization, and heuristic algorithms. Research Interests: Dr. Özer specializes in energy-efficient cloud computing resource allocation, auction-based systems for electronic markets, combinatorial optimization problems, and fair resource distribution models. His work bridges theoretical computer science with practical applications in sustainable computing and circular economy frameworks. Recent studies emphasize green cloud computing through energy-aware scheduling and virtual resource management. Key Contributions: His publications address energy-aware VM scheduling, double auction models for secondhand markets, and combinatorial optimization heuristics. Ongoing projects include energy-efficient cloud resource allocation frameworks funded by TÜBİTAK. Awards: Serhat Özyar Young Scientist Award (2012), TÜBİTAK Student Project Mentor Award (2015) Leadership Roles: Erasmus Coordinator (2012-present), Farabi Program Coordinator (2014-present) Advising: Supervised 4 theses, including energy-aware scheduling models for cloud computing

• Computer Software
• Distributed Computing
• Automotive Engineering
• +۳ مورد دیگر

Jeremy Cohen is an Advanced Research Fellow in the Department of Computing at Imperial College London, where he also serves as Director of Research Software Engineering Strategy. His primary affiliation is with the Faculty of Engineering. Cohen holds an EPSRC Research Software Engineering (RSE) Fellowship awarded in 2017. His research focuses on developing software tools and frameworks to enhance computational infrastructure utilization across scientific domains, emphasizing sustainability, maintainability, and equity in research software development. He leads the Imperial Research Software Engineering Community and founded RSLondon, a regional hub connecting over 20 institutions in research software engineering. He earned both his MSc and PhD in Computing from Imperial College London, with prior work in e-Science middleware and grid computing. Cohen is an affiliate of the Research Computing Service team and a member of the Society of Research Software Engineering. His professional roles include advocating for policies that support quality research software and fostering interdisciplinary collaboration between researchers and software developers. His publications emphasize HPC training pathways, RSE competency frameworks, and equity challenges in software communities. Recent work explores foundational competencies for RSEs and strategies for sustainable software ecosystems. Beyond research, Cohen actively contributes to policy discussions on institutional support for research software engineering.

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.

Simon Peterمشاهده پروفایل

دانشیار

• Operating Systems
• Networking
• Data Center Systems
• +۵ مورد دیگر

Simon Peter is an Associate Professor in the Paul G. Allen School of Computer Science and Engineering at the University of Washington since 2022. His research focuses on operating systems, networking, and energy-efficient data center systems. Previously, he held positions as an Assistant Professor at UT Austin (2016–2022) and earned his Ph.D. (Dr. sc. ETH) from ETH Zurich in 2012, with a Dipl.-Inf. from Carl-von-Ossietzky University of Oldenburg in 2006. Education: Ph.D. in Computer Science, ETH Zurich, 2012 Dipl.-Inf. (M.Sc.), Computer Science, Oldenburg University, 2006 Research Interests: Design of low-latency, scalable, and energy-efficient data center systems Virtual machine and OS design (QoS in memory management, zero-copy I/O) Programmable NICs/switches (RDMA offloading, in-network ML preprocessing) Power control planes and disaggregated storage systems Teaching: Recent courses include CSE481A Operating Systems Capstone and Data Center Systems Extensive teaching history at UW and UT Austin in operating systems and data center topics Awards & Recognition: Not explicitly listed in provided materials Advising & Grants: Actively recruiting Ph.D. students via UW’s program No grant details provided in current text Labs & Teams: Part of UW’s Distributed Systems Lab Collaborates with industry on data center innovations Personal: Music enthusiast with background in violin, electronic music production, and DJing Outdoor activities include skiing and hiking Former Demoscene participant in Germany

Lea Skorin-Kapovمشاهده پروفایل

استاد

• Quality of Experience (QoE)
• Multimedia Systems
• Telecommunications Networks
• +۶ مورد دیگر

Lea Skorin-Kapov is a Full Professor in the Department of Telecommunications at the University of Zagreb Faculty of Electrical Engineering and Computing. Her research focuses on Quality of Experience (QoE), multimedia systems, and telecommunications networks. She leads the MUEXLab research group, which addresses challenges in QoE management, network resource allocation, and user-centric system design. Her work spans topics like video streaming optimization, cloud gaming performance, and energy-efficient network solutions. Notable contributions include frameworks for encrypted video monitoring and best practices for QoE fairness in shared systems. She has authored over 50 peer-reviewed publications and received two Best Paper Awards for innovative work in VR gaming and drone control simulations. Current research emphasizes QoE sustainability in 6G networks and wildfire resource scheduling. Collaborations involve institutions like TU Dortmund and industry partners in telecommunications. Lea actively participates in IEEE standards committees and serves on editorial boards for journals like the International Journal of Human-Computer Interaction .

Calvin J. Ribbensمشاهده پروفایل

استاد

• Parallel Computing
• High-End Computing Systems
• Computational Science and Engineering
• +۷ مورد دیگر

Calvin J. Ribbens is a Professor in the Department of Computer Science at Virginia Tech, affiliated with the College of Engineering. He served as Associate Department Head (2003-2015) and Department Head (2015-2024). His research focuses on parallel computing, high-end systems, computational science, and numerical algorithms. Ribbens holds a Ph.D. and M.S. from Purdue University and a B.S. from Calvin College. Research interests include distributed shared memory systems, parallel algorithm optimization, sparse linear algebra, and grid/cloud computing. He has advised numerous graduate students on topics like resizable parallel applications and speculative parallelism. His work bridges computational science applications with system-level optimizations. Teaching includes courses on software design, numerical methods, parallel computation, and theory of computation. Ribbens has contributed to computational grids, problem-solving environments, and adaptive scientific software frameworks. He actively participates in HPC conferences and editorial roles, emphasizing interdisciplinary collaboration between computer science and scientific domains.

Yu Liuمشاهده پروفایل

استاد

• Sustainable Computing
• Energy-Efficient Software
• Programming Languages
• +۳ مورد دیگر

Yu Liu is a Professor at the School of Computing, Binghamton University, where he has been a faculty member since 2008. His research focuses on sustainable computing, energy efficiency, and security in emerging software systems, with significant contributions to programming languages, robotics, and software-hardware interfaces. Education: MSE, Johns Hopkins University PhD, Johns Hopkins University Professor Liu's research centers on sustainable computing and energy-aware software systems. He investigates programming language designs for energy prediction, develops reliable robotics software through managed languages, and creates secure software-hardware interfaces. His work bridges theoretical foundations with practical applications in data centers, UAV systems, and multi-threaded environments, emphasizing verifiable sustainability metrics and energy-efficient resource management. His publication trends reveal a consistent focus on sustainable computing evolution, with recent work advancing verifiable sustainability frameworks in data centers (2023-2024), energy accounting for multi-threaded applications (2020), and secure cache management techniques (2022). The research spans programming language theory, robotics safety, and hardware security, demonstrating interdisciplinary integration across computer science subfields. Scientific Awards: NSF CAREER Award Google Faculty Research Award Fulbright Scholarship Professor Liu has secured significant research funding through his NSF CAREER Award and Google Faculty Research Award, supporting innovations in sustainable computing infrastructure. His Fulbright Scholarship enabled international collaboration in Slovenia, advancing global research in energy-efficient software systems. He regularly teaches core courses including Programming Languages (CS471/571) and Sustainable Computing (CS680G), mentoring the next generation of computer scientists. While specific lab affiliations aren't detailed in the source text, his research on UAV software (Jcopter) and cache security (Composable cachelets) suggests active involvement in robotics and systems security research groups at Binghamton University.

Minlan Yuمشاهده پروفایل

استاد

• Computer Science
• Networking
• Distributed Systems
• +۹ مورد دیگر

Minlan Yu is the Gordon McKay Professor of Computer Science at Harvard University's John A. Paulson School of Engineering and Applied Sciences (SEAS). She leads the Harvard Theory and Systems group and co-leads the Harvard Power and AI initiative. Her research focuses on data networking, distributed systems, and software-defined networking, with recent emphasis on sustainable computing and AI-driven network management. She is also Assistant Director of the SRC/DARPA JUMP 2.0 ACE Center for Evolvable Computing. Key research interests include network optimization, edge AI serving, large-scale resource allocation, and fault tolerance in distributed systems. Recent work highlights include innovations in energy-efficient data centers, homomorphic encryption acceleration, and real-time network telemetry using FPGA coprocessors. Teaching responsibilities include advanced courses on networking (CS 145/243) and systems programming. She actively advises PhD students and postdocs across systems and networking domains. Her lab's work has led to impactful contributions in both academia and industry, with a focus on bridging theory and practical system implementations. Current research initiatives include the Harvard Power and AI initiative exploring energy-efficient AI workflows and the development of evolvable computing infrastructure through the ACE Center.

Grammati Pantziouمشاهده پروفایل

استاد

• Algorithmic Techniques
• Parallel and Distributed Computing
• Mobile Ad-Hoc and Sensor Networks
• +۵ مورد دیگر

Grammati Pantziou is a Professor at the Department of Informatics and Computer Engineering, University of West Attica (since 2018). She previously held roles as Vice Rector for Administrative Affairs (2019–2023), member of the Governing Committee, and president of the Research Committee at the same institution. Earlier positions include Assistant Professorships at Dartmouth College (1992–1994) and University of Central Florida (1994–1995), and Professor at the Technological Educational Institute of Athens (1998–2018). She served on the Greek Data Protection Authority (2003–2013). Education: Ph.D. in Computer Science, University of Patras, Greece (1991) Research Interests: Focuses on algorithmic optimization, parallel/distributed computing, mobile networks, and cybersecurity. Specializes in sensor networks, pervasive computing security, and smart city applications. Her work bridges theoretical algorithms with real-world systems like tourism route planning, vehicular networks, and IoT. Publications & Impact: Authored/co-authored 11 books, 165+ papers, and edited 5 books. Her research has 5,600+ citations (h-index:34, i10-index:80). Leads 29 funded projects on cybersecurity, transportation optimization, and smart systems. Editorial Roles: Editor-in-Chief of Algorithms Journal's 'Parallel and Distributed Algorithms' section, and editor for journals like Cybersecurity & Privacy (MDPI) and Security and Communication Networks (Wiley). Contributions: Developed frameworks like eCOMPASS for tourist route planning and ETHACA for cybersecurity training. Pioneered algorithms for vehicle relocation in sharing systems and energy-efficient data aggregation in sensor networks.

Theocharis Theocharidesمشاهده پروفایل

دانشیار

• Embedded Systems
• Hardware Acceleration
• Computer Vision
• +۳ مورد دیگر

Theocharis (Theo) Theocharides is an Associate Professor and Department Chair at the University of Cyprus's Department of Electrical and Computer Engineering. He serves as Director of Research at the KIOS Research and Innovation Centre of Excellence. Holding a Ph.D. in Computer Science and Engineering from Pennsylvania State University, his research focuses on designing intelligent embedded systems with specialization in domain-specific architectures, reconfigurable hardware, and low-power embedded processors. He leads the Embedded and Application-Specific System-on-Chip Lab, conducting projects in mobile systems, tinyML, embedded computer vision, pattern recognition architectures, and intelligent system monitoring. His pioneering work includes hardware acceleration for real-time object detection and depth estimation in embedded vision systems for robotics and cyber-physical applications. Current investigations focus on hardware-friendly ML algorithms for tinyML, visual information extraction, and distributed embedded vision systems involving drone swarms and robotic networks. Professor Theocharides has authored over 130 publications and serves as Associate Editor for prestigious journals including ACM's Computing Surveys and IEEE Transactions on Computer-Aided Design. As Technical Programme Committee Chair for DATE 2025, he maintains active involvement in the research community.

Cüneyt F. Bazlamaçcıمشاهده پروفایل

استاد

• Communication and Computer Networks
• Computer Systems Architecture
• Hardware Optimization
• +۵ مورد دیگر

Prof. Cüneyt F. Bazlamaçcı is a Professor in the Computer Engineering Department at İzmir Institute of Technology (IZTECH). He holds a B.Sc. and M.Sc. from Middle East Technical University (1988, 1991) and a Ph.D. in Computing from the University of Manchester (1996). His academic career includes roles at METU (1992–2020) before joining IZTECH in 2020. His research focuses on Communication and Computer Networks, Computer Systems Architecture, Graph Algorithms, and Embedded Systems. Notable contributions include patents on IP lookup architectures and publications in journals like Microprocessors and Microsystems and IEEE Transactions . He has advised over 40 graduate students, with topics ranging from FPGA-based systems to network optimization. His work spans network-on-chip design, reconfigurable computing, and cloud resource allocation. Projects include TÜBİTAK-funded research on low-voltage distribution systems and METU DSIM benchmarking studies. Prof. Bazlamaçcı teaches advanced courses in optimization, computer networks, and architecture. His research integrates algorithm design, hardware/software co-design, and parallel computing for real-world applications.

Josep Torrellasمشاهده پروفایل

استاد

• Computer Architecture
• Parallel Processing
• Hardware Reliability
• +۱ مورد دیگر

Josep Torrellas is the Saburo Muroga Professor of Computer Science at the University of Illinois at Urbana-Champaign. He directs the SRC/DARPA JUMP 2.0 ACE Center for Evolvable Computing and leads research in computer architecture, with focus on parallel processing, energy efficiency, and hardware reliability. Dr. Torrellas has received major awards including the IEEE Harry H. Goode Memorial Award, UIUC Campus Mentoring Award, and IEEE Technical Achievement Award. He is a Fellow of IEEE, ACM, and AAAS. His recent publications demonstrate strong focus on cloud security, serverless computing, and AI acceleration. Research consistently addresses hardware/software co-design for emerging computing paradigms. He has graduated 48 PhD students, many now faculty at top institutions. Dr. Torrellas teaches courses in parallel computer architecture and advises students in the ACE Center for Evolvable Computing.

• Parallel and Distributed Algorithms
• Network Embedded Systems
• Multi-agent Systems
• +۴ مورد دیگر

Gul A Agha is a Research Professor and Professor Emeritus in the Department of Computer Science at the University of Illinois at Urbana-Champaign. He holds affiliations with the Open Systems Laboratory and focuses on concurrent computing, distributed systems, and actor-based models. His work on the Actor Model is foundational in concurrent programming, with contributions to languages, systems, and formal verification techniques. Education: Ph.D. in Computer & Communication Science from the University of Michigan (1985). Research Interests: Parallel and distributed algorithms, network embedded systems, multi-agent systems, and concurrent programming languages. His group develops high-performance systems for real-time, fault-tolerant applications, combining theoretical models with practical implementations. Key Achievements: Named ACM Fellow (2018) for contributions to concurrent systems and actor models. Led projects in structural health monitoring using wireless sensors, such as the Little Calumet River Bridge and 2nd Jindo Bridge. Pioneered actor-based frameworks for IoT and cloud computing. Grants & Awards: Includes NSF-funded projects on cyber-physical systems and cloud computing assurance. Recognized for innovations in distributed consensus (Synod) and energy-efficient parallel algorithms. Labs/Teams: Director of the Open Systems Laboratory, collaborating on actor platforms (Actornet) and middleware for sensor networks. Advised over 20 graduate students in distributed systems and formal methods.

Fan Laiمشاهده پروفایل

استادیار

• Machine Learning Systems
• Cloud Computing
• Networked Systems
• +۳ مورد دیگر

Dr. Fan Lai is an Assistant Professor at the Department of Computer Science, University of Illinois Urbana-Champaign (UIUC) , where he leads research at the intersection of Machine Learning, Systems, and Computer Networking . His work focuses on building practical systems for efficient GenAI applications across cloud and planetary scales, with real-world adoption by companies like Meta, LinkedIn, and Cisco . Education : Ph.D. in Computer Science from the University of Michigan (2023) Previous Roles : Systems Research@Google, Meta AI Research areas include: Cloud ML Systems (LLMs, Image/VideoGen, DLRMs) Collaborative Learning (Federated Learning, Edge-Cloud ML, Hyperscale Training) ML for Systems (Resource Management, Network Optimization) Recent publications span top conferences like SOSP'25, MICRO'25, MLSys'25, SIGMOD'25 , covering topics from LLM serving to distributed training compression . Awards include ACM SIGOPS Honorable Mention , David J. Kuck Dissertation Prize , and ML and Systems Rising Stars . Teaching includes CS 498: Machine Learning Systems and CS 598: Systems for GenAI . Actively mentoring PhD and MS students in ML systems research, with prior mentees transitioning to institutions like Princeton and UW .