جست‌وجوی استاد و پژوهشگر

John Strattonمشاهده پروفایل

دانشیار

• Software Performance Optimization
• High-Performance Computing
• Parallel Processing
• +۵ مورد دیگر

John Stratton is an Associate Professor of Computer Science and Director of the 3-2 Engineering Program at Whitman College. He holds a Ph.D., M.S., and B.S. in Electrical and Computer Engineering from the University of Illinois at Urbana-Champaign (2006–2013). His research focuses on software performance optimization, tools for efficient scientific applications, and compiler optimizations for parallel and GPU-based systems. He leads the Whitman Optimization Laboratory (OptiLab), involving student researchers in projects like biological simulation, image analysis, and programmer productivity tools. Stratton’s work emphasizes bridging hardware and software efficiency, with contributions to CUDA compilation for FPGAs, parallel thread scheduling, and memory optimization. His pedagogical innovations include group oral presentations in algorithms courses. He has published extensively on topics ranging from kernel fusion in OpenCL to performance portability on shared-memory systems. Professional contributions include the SPEC ACCEL benchmark suite and the Parboil throughput computing benchmarks. He mentors student researchers and has advised projects on multi-threaded memory allocation, dynamic type acceleration, and thread-block management in multi-core systems.

Ioannis Dimitriouمشاهده پروفایل

استادیار

• Queueing Theory
• Applied Probability
• Stochastic Processes
• +۶ مورد دیگر

Ioannis Dimitriou is an Assistant Professor at the Department of Mathematics, University of Patras, Greece, since August 2019. Previously, he held academic positions at Imperial College London, FORTH Greece, Aristotle University of Thessaloniki, and INRIA Sophia Antipolis. Research Interests: His work focuses on Queueing theory Applied probability Stochastic processes Stochastic performance modeling Wireless network analysis Recent Publications: His recent work explores multidimensional queueing models, stability analysis in cooperative networks, and stochastic resource allocation with applications in IoT and 5G networks. Key trends include Retrial queue systems Markov-modulated random walks Network-level cooperation Power-saving mechanisms Stable throughput regions Scientific Awards: Marie Curie Fellow (ERCIM ABCDE program) Postdoctoral 'Research Excellence' Fellowship at Aristotle University Travel Grant for StochMod 2018 Teaching & Mentorship: He teaches Probability, Stochastic Processes, and Queueing Theory at both undergraduate and MSc levels. Mentored 9 MSc/BSc students, focusing on queueing applications in wireless networks, stochastic models, and performance evaluation.

Manuel Serranoمشاهده پروفایل

استاد

• Programming Languages
• Compiler Design
• Web Programming
• +۷ مورد دیگر

Manuel Serrano is a senior research scientist at Inria (French Institute for Research in Computer Science and Automation) affiliated with University of Côte d'Azur, based at the Sophia Antipolis research center in the indes team. He has been active in the programming languages research community since at least 2000, serving in numerous leadership roles across major conferences. His research focuses on programming languages, particularly JavaScript and Scheme implementations, compiler design for dynamic languages, web programming, and synchronous reactive programming. His work bridges theoretical language design with practical implementation concerns, with a strong emphasis on performance optimization of dynamic languages. He has made significant contributions to the understanding and improvement of JavaScript compilation techniques, particularly through his work on ahead-of-time compilation. His publication record shows consistent output in top venues including PLDI, OOPSLA, ICFP, and ECOOP, with a recent focus on JavaScript optimization, sealed classes, type system verification, and synchronous reactive programming through his HipHop.js language. His work demonstrates a progression from foundational Scheme compilation (Bigloo) to modern web technologies and JavaScript optimization. He has served as General Chair for the Programming conference in 2018, Program Co-Chair for Programming 2024-2025, and is currently serving as PC Chair for ICFP 2026. His conference service spans over two decades across numerous programming language venues including ICFP, SPLASH, ECOOP, and specialized workshops on Scheme and dynamic languages. As a creator of multiple programming tools and languages, he has developed Bigloo (an optimizing Scheme compiler), Hop (a language for web 2.0 programming), HipHop (an asynchronous programming language), and Flyspell (an on-the-fly Emacs spell checker). His Cold project with University of Montreal focuses on compilation and optimization techniques for dynamic languages like JavaScript and Python.

Tobias Wrigstadمشاهده پروفایل

استاد

• Type Systems
• Reference Capabilities
• Programming Languages
• +۲ مورد دیگر

Tobias Wrigstad is a faculty member at Uppsala University, Sweden, with research interests spanning type systems, reference capabilities, programming language design, scripting languages, and concurrent/parallel programming. His work focuses on memory management, concurrency safety, and language extensions for performance optimization. Education: Not explicitly mentioned in provided data Research Interests: Designing type systems to enforce concurrency safety and memory correctness Reference capabilities for manual and automatic memory management Actor model programming and garbage collection co-design Cache locality optimization without program restructuring Formal verification of language designs using Dafny Recent Publications (2025-2015): Explore concurrency safety through region ownership Develop parallel array programming models in Kappa Investigate energy-efficient garbage collection Design capability-based dynamic languages for data race freedom Create formal models for heap invariants and incorrectness Optimize memory allocation via load barriers Conference Involvement: 2025: IWACO Committee Member, OOPSLA Associate Chair 2024: Program Co-Chair for IWACO, Author in VIMPL, MPLR, ISMM 2023: SPLASH Steering Committee, ECOOP PC Member 2022-2015: Active in PLDI, ECOOP, ICFP, and related workshops

• Mobile Edge Computing
• Cloud Computing
• Internet of Things
• +۱۲ مورد دیگر

Junaid Shuja is a researcher with significant contributions to Mobile Edge Computing , Cloud Environments , and IoT Systems . Collaborating with scholars like Kashif Bilal , Abdullah Gani , and Ehzaz Mustafa , his work spans computation offloading, resource allocation, and security frameworks. Research Highlights 2017: Analysis of Vector Code Offloading in Heterogeneous Architectures 2021: Survey on Machine Learning for Edge Caching 2023: Reinforcement Learning for Computation Offloading in Vehicular Networks 2024: Blockchain Applications in Land Lease Systems and Employee Transfers 2025: Deep Reinforcement Learning for Resource Optimization His recent work focuses on Deep Learning and Blockchain for latency-sensitive applications in IoT and vehicular networks, published in IEEE Access , Cluster Computing , and Telecommunication Systems . Key co-authors include Faisal Rehman , Abdallah Namoun , and Muhammad Bilal .

M. Usman Jamalمشاهده پروفایل

پژوهشگر

• Computer Engineering
• High-Level Synthesis (HLS)
• Field-Programmable Gate Arrays (FPGAs)
• +۲ مورد دیگر

M. Usman Jamal is a researcher specializing in advanced computational techniques, particularly focusing on High-Level Synthesis (HLS) for Field-Programmable Gate Arrays (FPGAs). His work addresses critical challenges in memory management and design optimization for hardware acceleration. Research Interests High-Level Synthesis (HLS) for hardware acceleration Memory hierarchy optimization in FPGA-based systems Application of machine learning models (e.g., GNNs) for design optimization Software-hardware co-design methodologies Publications & Collaborations Prominent contributions in IEEE Access (2022, 2023) with co-authors like L. Lavagno, M. Lazarescu, and Zhuowei Li Focuses on improving design efficiency through automated caching mechanisms and predictive models

Oliver Hohlfeldمشاهده پروفایل

استاد

• Network Security
• Network Measurements
• Internet Architecture
• +۳ مورد دیگر

Oliver Hohlfeld is a Professor at the University of Kassel where he leads the Distributed Systems Group . Prior academic appointments include professorships at Brandenburg University of Technology (heading the Computer Networks group) and RWTH Aachen University , with earlier work at TU Berlin/Deutsche Telekom Innovation Laboratories . He has served as visiting scholar at University of Wisconsin-Madison (Paul Barford's group) and holds a Dr. rer. nat. in Computer Science (2013) from TU Berlin under advisor Anja Feldmann. B.Sc. and M.Sc. in Computer Science from Darmstadt University of Applied Sciences, Institute Eurecom, and Darmstadt University of Technology Former Fraunhofer IGD researcher (2004-2006) working on telemedical network architectures His research interests focus on data-driven analysis of internet performance and security through empirical network measurement, psychological user studies, and machine learning. Key areas include DDoS defense mechanisms, TLS deployment analysis, social media interaction patterns, caching strategies, and internet protocol evaluation (HTTP/2, QUIC, BGP). Recent work examines cross-border information control circumvention through unconventional user reviews. Oliver has served on technical program committees for 25+ conferences including SIGCOMM'24 , NSDI'25 , and IMC'24 . His scientific leadership includes: 2022 IETF/IRTF Applied Networking Research Prize 2020 ACM Senior Member status 2018-2021 conference co-chair roles He leads major research projects : AIDOS: AI-based DDoS Mitigation at DE-CIX Internet Exchange (BMBF funded) DFG SFB 1053 MAKI: Multi-Mechanism Internet Adaptation (2017-2020) EU Horizon 2020 SSICLOPS: Secure Cloud Operations Internet Observatory Initiative

• Probability and Statistics
• Signal Processing (Images/Video)
• TCP Modeling/Ad hoc Networking
• +۳ مورد دیگر

Riedi Rudolf is a Full Professor at the Haute école d'ingénierie et d'architecture de Fribourg, affiliated with the iSIS Institute for Intelligent and Secure Systems. His primary role involves academic leadership in telecommunications and signal processing education. His research focuses on wireless network capacity, network coding limitations, and stochastic processes with a focus on fractal/multifractal systems. Key projects include co-leading a CHF 167k project (2011-2013) on predictive caching for time-series storage and collaborating on a CHF 220k metadata mining initiative (2009-2012) involving data mining and cryptography. His work bridges theoretical foundations (e.g., Brownian motion properties) with applied telecommunications solutions like pathChirp bandwidth estimation tool. Received Best Student Paper Award for pathChirp research Published extensively in IEEE Transactions and Wiley's Encyclopedia of Environmetrics

• Machine Learning
• Wireless Communications
• Federated Learning
• +۴ مورد دیگر

Mohammad Mohammadi Amiri is an Assistant Professor in the Computer Science Department at Rensselaer Polytechnic Institute (RPI), joining in Fall 2023. Previously, he held postdoctoral positions at MIT Media Lab (2022–present) and Princeton University (2019–2021), working with Prof. Vincent Poor and Prof. Sanjeev Kulkarni. He earned his Ph.D. in Electrical and Electronic Engineering from Imperial College London (2019), with prior degrees from Iran University of Science and Technology (B.Sc., 2011) and the University of Tehran (M.Sc., 2014). His research focuses on decentralized intelligence, federated learning, and wireless edge computing. He explores enabling distributed machine learning while preserving privacy, particularly in IoT and smart systems. Key areas include federated learning over wireless channels, data valuation, and optimization of edge computing resources. His articles address topics like federated learning convergence, device selection in wireless systems, and decentralized data valuation. Recent work includes papers accepted at AAAI 2023, CISS 2023, and IEEE Transactions on Wireless Communications. Awards : IEEE Communications Society Young Author Best Paper Award (2022) Best PhD Thesis Award (2019), IEEE Information Theory Chapter Eryl Cadwallader Davies Prize (2019), Imperial College London Advising & Grants : Mentoring Ph.D. students in machine learning and distributed systems Recipient of multiple scholarships and awards during his academic career Labs/Teams : Camera Culture Group (MIT Media Lab) Princeton University's Electrical Engineering Department

• Cloud Computing
• Distributed Systems
• High-Performance Computing
• +۵ مورد دیگر

Raja Appuswamy is an Assistant Professor in the Department of Data Science at EURECOM, focusing on data management on modern hardware and molecular information storage. His research integrates cutting-edge storage technologies with bioinformatics, particularly in DNA-based data storage. He teaches courses in cloud computing, distributed systems, and databases. His work spans Optimizing storage hierarchies with DNA archival systems Hardware-conscious algorithms for GPUs and heterogeneous architectures Error correction in molecular storage Long-term database preservation strategies Key research interests include Cross-architecture data joins (e.g., OneJoin, XJoin) Cold storage innovation with CMOSS and OligoArchive Integration of bio-inspired storage with traditional computing and explores interdisciplinary challenges at the intersection of computer science and molecular biology. Publications emphasize scalable solutions for DNA storage density, error tolerance, and archival systems. Awards highlight contributions to DNA-based image encoding, storage reliability, and page cache checksums. Current projects focus on enzymatic DNA ligations for storage density improvement, motif-based error correction, and hardware acceleration for knowledge graphs. His work targets both theoretical advancements and practical implementations in storage systems.

FRANCILLON Aurélienمشاهده پروفایل

استاد

• Embedded Systems Security
• Cybersecurity
• Hardware/Software Co-design Security
• +۵ مورد دیگر

FRANCILLON Aurélien is a Full Professor at EURECOM within the Digital Security Department, specializing in embedded system security, software/hardware co-design vulnerabilities, and network security. He leads research on firmware analysis, side-channel attacks, and secure embedded architectures. His work includes developing frameworks like Avatar2 and SymCC, which advance dynamic analysis and symbolic execution techniques. Research Focus: His research bridges software and hardware domains, addressing critical security challenges in IoT, firmware, and embedded devices. Notable areas include electromagnetic side channels, covert channels (e.g., 'Screaming Channels'), and firmware vulnerability detection. He emphasizes practical defenses against exploitation of hardware-software interfaces. Awards & Grants: 2024 Test of Time Award (NDSS) for foundational work on SMART (2012) Google Faculty Research Award 2019-2020 (Security Category) Multiple best paper awards for contributions to covert channels (C5: Cross-cores cache) and firmware analysis (AVATAR framework) Teaching & Labs: Teaches system security at EURECOM and heads the Security and Privacy in the Digital World (S3) Lab. His teams develop open-source tools for embedded system security (e.g., LibAFL QEMU, Avatar²).

Thrasyvoulos Spyropoulosمشاهده پروفایل

استاد مدعو

• Distributed Storage/Caching
• Recommendation Systems
• 5G/5G+ Networks
• +۵ مورد دیگر

Thrasyvoulos Spyropoulos is an Adjunct Professor at EURECOM, focusing on cutting-edge research in telecommunications and network systems. His work spans distributed storage, recommendation systems, 5G/6G networks, and network slicing. He has made significant contributions to optimizing network performance through techniques like stochastic modeling, applied machine learning, and decentralized resource allocation. His research interests include: Distributed Storage/Caching, Recommendation Systems, 5G/5G+ Networks, Network Slicing, Social/Complex Network Analysis, Network Optimization, and Stochastic Modeling. These areas reflect his expertise in balancing technical innovation with practical network challenges. Key achievements include Best Paper Awards at IEEE WoWMoM 2012 and IEEE Sensor Networks 2008, as well as a Best-in-Session Presentation at INFOCOM 2016. His recent work emphasizes AI-driven solutions for network orchestration, edge computing, and QoS-aware recommendation systems. Publications highlight advancements in federated learning, DNN-based resource scaling, and combinatorial optimization for slice orchestration. His work on D2D relaying and spatial unfairness addresses critical mobile network challenges. Collaboration through platforms like Google Scholar and ResearchGate underscores his active role in the global academic community.

Shadi Sadeghpourمشاهده پروفایل

استادیار

• Cybersecurity
• Adversarial Machine Learning
• Network Security
• +۴ مورد دیگر

Dr. Shadi Sadeghpour is an Assistant Professor of Cyber Operations at The Citadel, based in the Department of Cyber and Computer Sciences under the Swain Family School of Science and Mathematics. She holds a Ph.D. in Computer Science (Cybersecurity focus) from York University (2023), along with a B.Sc. in Computer Engineering and M.Sc. in Computer Networks from Toronto Metropolitan University. Her research emphasizes applying machine learning to cybersecurity challenges, particularly web bot detection, intrusion detection systems, and adversarial machine learning. Her work involves developing defenses against session-replay bots using techniques like LSTM neural networks and web page randomization (RanABD framework). She also studies behavioral analysis through datasets like ReMouse, which quantifies human trajectory patterns to distinguish bots. Current projects include UAV-based intrusion detection systems employing intelligent approaches. Dr. Sadeghpour actively advises undergraduate and graduate research groups at The Citadel. Her recent publications (2023-2025) focus on bot detection methodologies, IoT security, and machine learning applications in cybersecurity. She collaborates on projects addressing real-time botnet detection and ad fraud mitigation in digital advertising. Labs/Teams: Involved with The Citadel's Cyber Range and Research Labs including CHARIoTS Lab and RADIUS Lab. Engaged in Citadel Cyber Institute initiatives and DoD Cyber Service Academy Scholarship programs.

Brice Goglinمشاهده پروفایل

پژوهشگر

• High Performance Computing (HPC)
• Parallel Computing
• Computer Architecture
• +۳ مورد دیگر

Brice Goglin is a Researcher at Inria and leads the TADaaM Inria team at the Inria Bordeaux - Sud-Ouest Research Centre. He is affiliated with the Laboratoire Bordelais de Recherche en Informatique (LaBRI) and the University of Bordeaux. His primary research focuses on modeling hierarchical and multicore platforms, I/O in NUMA systems, high-performance communication, and memory management for parallel architectures. University of Bordeaux Inria Bordeaux - Sud-Ouest Research Centre LaBRI (CNRS UMR 5800) Satanas Team Research Interests : His work centers on optimizing hardware locality in high-performance computing (HPC) through tools like hwloc and KNEM . He explores memory migration, cache-aware models, and communication strategies for NUMA and heterogeneous architectures, collaborating with institutions like AMD, Intel, Oak Ridge National Lab, and RWTH Aachen University. Major projects include the H2M ANR-DFG and TEXTAROSSA European initiatives. Scientific Awards : He received the 2024 Inria – Académie des sciences – Dassault Systèmes Innovation Award for his contributions to HPC software. His paper on adaptive MPI multirail tuning won the Best Paper Award at EuroMPI 2010. Advising & Collaborative Work : He supervises PhD students such as Méline Trochon, Charles Goedefroit, and Clément Gavoille. His software projects, including hwloc (which helps systems like Frontier achieve exaflop performance), are widely recognized. He actively participates in program committees for conferences like SuperComputing, EuroMPI, and ISC, and contributes to the Open MPI consortium alongside Intel, Cisco, and AMD.

Phillip Edwardsمشاهده پروفایل

دانشیار

• Levantine Prehistory
• Origins of Farming
• Sedentary Societies
• +۵ مورد دیگر

Dr. Phillip Edwards is an Associate Professor in the Department of Archaeology & History at La Trobe University (Melbourne, Australia), specializing in Levantine prehistory and the origins of sedentary life. With 30+ years of fieldwork in Jordan, he focuses on Lower to Neolithic period sites, particularly the Natufian settlement of Wadi Hammeh 27. Education : BSc (Monash University), BA(Hons), PhD (University of Sydney) Languages : French, Arabic (read/write/speak/understand) His research explores Pleistocene-Early Neolithic transitions in the Jordan Valley, emphasizing environmental contexts for the first villages. Key projects include the Australian Research Council-funded Earliest Village People and publication of Wadi Hammeh 27's stratigraphy. Recent articles address Natufian cultural diffusion, artifact analysis, and Pleistocene lake systems' impact on settlement patterns. Awards include the 2013 American Schools of Oriental Research G. Ernest Wright Award. Dr. Edwards supervises PhD candidates in Earth Sciences and co-supervises geoarchaeological projects. His expertise spans Jordanian archaeology, origins of farming, and lithic/residue analysis.