جست‌وجوی استاد و پژوهشگر

Richard Enbodyمشاهده پروفایل

دانشیار

• Computer Security
• Cybersecurity
• Computer Architecture
• +۹ مورد دیگر

Richard Enbody is an Associate Professor in the Department of Computer Science and Engineering at Michigan State University (MSU), within the College of Engineering. He has been at MSU since 1987, following a Ph.D. in Computer Science from the University of Minnesota and a B.A. in Mathematics from Carleton College. His research focuses on computer security, hardware security (e.g., Secure Bit), ransomware, browser malware, and cybersecurity education. He has won the Withrow Teaching Excellence Award twice (1992, 2008) and holds patents in nanotechnology and security hardware. Education: Ph.D., Computer Science, University of Minnesota, 1987 B.A., Mathematics, Carleton College, 1976 Research interests span: Computer security (ransomware, in-vehicle systems, browser exploits) Hardware security (buffer overflow prevention) Education (Python-based CS1 curriculum) Key contributions include: Books on cybersecurity and Python programming Development of Secure Bit hardware protection Advances in ransomware analysis and defense Awards include teaching excellence recognition and multiple patents. He advises graduate students in cybersecurity and holds leadership roles in academic departments.

• Algorithms
• Theoretical Computer Science
• Graph Layout Problems
• +۸ مورد دیگر

Jordi Petit Silvestre is a professor in the Department of Computer Sciences at the Barcelona School of Informatics (FIB), Universitat Politècnica de Catalunya (UPC). He is a member of the ALBCOM research group, focusing on algorithms, bioinformatics, complexity, and formal methods. His work bridges theoretical computer science with practical applications in algorithm engineering, VLSI design, and computer science education. His research interests include algorithms , graph layout problems , parallel computing , data structures , and computer science education . He has made significant contributions to the design and analysis of efficient algorithms, particularly in graph layout optimization and cache-conscious data structures. His work extends to electronic design automation, with publications on macro placement, routing, and physical design for integrated circuits. The recent publications highlight a dual focus: (1) algorithmic and physical design for VLSI, involving macro placement, routing, and system-level optimization; and (2) innovations in computer science education, particularly through the Jutge.org platform, continuous assessment, MOOCs, and feedback mechanisms in online judges. This reflects a career deeply engaged in both theoretical research and educational technology. Jordi Petit has participated in numerous competitive and non-competitive R&D+i projects, often in collaboration with other leading researchers at UPC. He has contributed to educational innovation projects aimed at transforming programming education and curriculum design in computer science degrees. He is actively involved in the development and deployment of Jutge.org , an educational programming judge that supports automated assessment and learning in programming courses. His work in this area includes improving feedback, integrating formal verification, and analyzing course evolution through metrics like pass rates and workload.

JayDee Gunnellمشاهده پروفایل

استاد

• Horticulture
• Soil Science
• Urban Agriculture
• +۶ مورد دیگر

JayDee Gunnell is an Extension Professor in Horticulture at Utah State University and currently serves as the Cache County Director . With an MS in Soil Science (2006) and a BS in Ornamental Horticulture (2002) from USU, he combines academic expertise with practical extension work. Education: MS (Soil Science), BS (Ornamental Horticulture) Certification: Private Pesticide Applicator (2017) His research spans horticulture , urban agriculture , and pollinator ecology , focusing on water-efficient landscaping , tree production systems , and turfgrass management . Recent publications include work on bee decline , fruit cultivation , and climate-adapted landscaping . Notable awards include: National Winner - Best Poster 'Garden Guys and Gal' (2022) Multiple NACAA Communications Awards (2022, 2015, 2013) Extension Field Faculty of the Year (2015) Paul H. Shephard Award for Best Research Paper (2010) He leads initiatives like the Utah State University Botanical Center (2017-2025) and Master Gardener Volunteer Training (2012-ongoing), contributing to community education through multimedia resources and workshops.

• Distributed Data Management
• Cloud Computing
• Digital Cultural Heritage
• +۴ مورد دیگر

Renata Słota is a Professor at the Institute of Computer Science within the Faculty of Computer Science at AGH University of Science and Technology in Kraków, where she serves as Vice-Dean of the Faculty of Development. Her office is located at D-17, ul. Kawiory 21, room II, 3.34, with contact details including phone +48 12 328 33 35 and email rena@agh.edu.pl. She also contributes to academic governance as a member of the Disciplinary Council for Technical Information Technology and Telecommunications. Her research centers on distributed data management and cloud computing , with pioneering work in digital cultural heritage systems , blockchain-based decentralized authority , and scientific workflow automation . Notable contributions include integrated frameworks for 3D Cultural Heritage objects management, consensus mechanisms for collaborative data sharing, and multi-cloud data access solutions. Her work bridges theoretical advances with practical applications in cultural preservation and scientific computing. Analysis of her 2020-2026 publications reveals dominant trends in decentralized data governance , cultural heritage digitization , and hybrid cloud workflow management . Key themes include blockchain applications for organizational structures, semantic interoperability for quality-oriented data access, and reproducibility frameworks for computational experiments. Her research consistently addresses real-world challenges in global data accessibility and fault tolerance. Professor Słota actively participates in major research initiatives including the Onedata project for global data federation and the Scalarm platform for distributed parameter studies, demonstrating leadership in data-intensive computing environments and collaborative infrastructure development.

Abhay Parekhمشاهده پروفایل

استاد مدعو

• Computer Networking
• Wireless Communication
• Peer-to-Peer Systems
• +۵ مورد دیگر

Abhay Parekh is an Adjunct Professor in the Electrical Engineering and Computer Sciences Department at the University of California, Berkeley, where he has been teaching since 2003. His academic career is complemented by extensive industry experience in the field of computer networking and communications. Dr. Parekh received his educational training from prestigious institutions: Ph.D. in Electrical Engineering and Computer Science from MIT (1992) S.M. in Operations Research from MIT (1985) B.E.S. in Mathematical Sciences from Johns Hopkins University (1983) His research interests span multiple domains within computer networking and communications, with particular focus on Computer Networking , Wireless Communication Systems , Peer-to-Peer Systems , and Multimedia Networks . Dr. Parekh has made significant contributions to the understanding of quality of service in data networks, spectrum sharing mechanisms, and peer evaluation systems in MOOCs. His work on generalized processor sharing has been highly influential in the networking community. Dr. Parekh's publication record demonstrates a consistent research trajectory from theoretical networking foundations to practical applications. His early work focused on fundamental networking concepts like processor sharing and quality of service, while more recent publications address contemporary challenges in peer-to-peer systems, spectrum sharing, and educational technology. The breadth of his work spans from theoretical information theory to practical implementations in multimedia delivery systems and wireless communications. Among his notable achievements: Recipient of the IEEE Communication Society's William Bennett Prize Paper Award (1994) Co-author of the book "Resource Sharing in Networks" (2014) Co-inventor of multiple patents related to network bandwidth allocation Dr. Parekh has successfully bridged academia and industry throughout his career. Following his academic training, he co-founded FastForward Networks, which was later acquired by Inktomi. He has also served as a Venture Partner at Accel Partners and founded Flowgram, Inc. Since 2014, he has been co-founder and CEO of Lytmus Inc. His industry experience informs his academic work, particularly in understanding real-world networking challenges.

Craig Douglasمشاهده پروفایل

استاد

• Dynamic Data-Driven Application Systems
• Big Data
• High Performance Computing
• +۶ مورد دیگر

Dr. Craig Douglas is a Professor of Mathematics and Statistics at the University of Wyoming's College of Engineering and Physical Sciences, with an Adjunct Professor appointment in Computer Science. He earned his Ph.D. from Yale University and is globally recognized for pioneering research in Dynamic Data-Driven Application Systems (DDDAS) for Big Data, high-performance computing, and multigrid algorithms for partial differential equations. He co-developed the first commercial DDDAS for oil and gas pipeline monitoring, deployed across 100+ countries. His work bridges theoretical mathematics and practical engineering challenges. Research Interests Dynamic Data-Driven Application Systems (DDDAS) High-Performance Computing (HPC) Multigrid Algorithms Big Data Analytics for Energy and Environment Computational Science Applications Recent Publications Advances in DDDAS frameworks Computational wildfire modeling CO 2 sequestration simulation Finite-difference and finite-element methods Cache optimization for multigrid algorithms Email: cdougla6@uwyo.edu

Andreas Abelمشاهده پروفایل

پژوهشگر

• Microarchitecture Analysis
• Performance Prediction
• Cache Systems
• +۵ مورد دیگر

Dr. Andreas Abel is a postdoctoral researcher at Saarland University working in the Real-Time and Embedded Systems Lab under Prof. Jan Reineke. His work focuses on the intersection of computer architecture, performance analysis, and security, with a particular emphasis on x86 microarchitectures. His research interests span microarchitecture analysis, performance prediction, cache systems, computer security, hardware-software interaction, and reverse engineering. Dr. Abel has made significant contributions to understanding CPU microarchitectures through tools like uops.info, which provides detailed latency, throughput, and port usage data for x86 instructions, and nanoBench, a low-overhead tool for running microbenchmarks on x86 systems. His work bridges theoretical computer science with practical performance analysis, enabling more accurate prediction of program behavior on modern processors. His publication record shows a consistent trajectory from formal methods and model checking in his early career toward increasingly sophisticated analysis of modern processor microarchitectures. Recent work focuses on accurate throughput prediction (FACILE, uiCA), security implications of microarchitectural behavior (Flushgeist), and tools for microbenchmarking (nanoBench). His research demonstrates a unique combination of formal methods expertise applied to practical problems in computer architecture. Dr. Abel has taught various courses at Saarland University including System Architecture, Design and Analysis of Real-Time Systems, and seminars on Resource Sharing in Real-Time Systems and Robustness of Hardware and Software Systems. His teaching spans both undergraduate and graduate levels, reflecting his dual expertise in theoretical computer science and practical systems engineering.

• Distributed Systems
• Cloud Computing
• Tail Latency Optimization
• +۳ مورد دیگر

Timothy Zhu is an Associate Professor in Computer Science and Engineering, focusing on distributed systems and cloud computing technologies. His research explores tail latency optimization, resource management in heterogeneous environments, and sustainable computing practices. Current PI for NSF DESC : Extending machine lifetimes to repurpose e-waste Lead investigator for NSF CAREER : Auto-generated experimentation for performance diagnosis Principal Investigator for NSF CNS Core : Tail latency reduction through system heterogeneity Research trends show emphasis on: Latency Management : Tail latency SLOs, admission control, and performance profiling Cloud Efficiency : Autoscaling algorithms, workload characterization, and cost optimization Hardware-aware Systems : DNN performance estimation, SmartNIC utilization, and heterogeneous server architectures Collaborative efforts span institutions including: Co-authorships with researchers at Carnegie Mellon University (CMU) Joint projects with Pennsylvania State University (Penn State) collaborators like Anand Sivasubramaniam

Donna J. Crossمشاهده پروفایل

دانشیار

• Neuroimaging
• Neurodegenerative Disorders
• Traumatic Brain Injury
• +۶ مورد دیگر

Donna J. Cross, PhD, serves as Research Associate Professor in the Department of Radiology & Imaging Sciences at the University of Utah, directing the NeuroImaging and Biotechnology Laboratory (NIBL). Her work pioneers neuroimaging applications to transform therapeutic and diagnostic approaches for neurological disorders and dementia through advanced techniques like MR-guided focused ultrasound and molecular imaging. Dr. Cross's academic foundation includes a PhD and BSE from the University of Michigan, senior fellowship training at the University of Washington, and additional studies at Michigan State University. Her educational journey established the groundwork for her innovative research in brain imaging and therapeutic development. Her research program spans neurodegenerative disorders, traumatic brain injury, and dementia, with emphasis on Alzheimer's disease mechanisms, spinal cord injury treatment via focused ultrasound, and intranasal drug delivery systems. NIBL's projects integrate molecular imaging, AI-driven analysis, and cross-species models to address critical gaps in neurological care. Recent publications demonstrate accelerating focus on AI-enhanced imaging biomarkers, avian cognition models for human brain function, and microtubule-stabilizing therapies for neurodegeneration. These works reveal growing interdisciplinary convergence between computational neuroscience, therapeutic delivery systems, and translational neurotrauma research. As 2022/2023 president of the SNMMI Brain Imaging Council and active NIH study section participant, Dr. Cross shapes national research priorities. Her laboratory receives funding from the International Atomic Energy Agency and Alzheimer's Association for multi-center dementia imaging and intranasal therapy development. NIBL operates as a multidisciplinary hub with faculty collaborators, lab technologists, and student researchers advancing seven core projects from brain mapping to traumatic injury therapeutics.

Imanol Munoz-Pandiellaمشاهده پروفایل

استادیار

• Computer Graphics
• Cultural Heritage
• 3D Reconstruction
• +۴ مورد دیگر

Imanol Munoz-Pandiella is an assistant professor in the Computer Science Department at Universitat Politècnica de Catalunya – BarcelonaTech (UPC) and a core member of the ViRVIG research center . His work bridges computer graphics and cultural-heritage science, with a focus on 3-D reconstruction, appearance modeling, and interactive visualization of historical artefacts. Education Ph.D. in Computer Graphics (2017) – joint programme between Université de Limoges and Universitat de Girona (supervisors: Stéphane Mérillou, Xavier Pueyo, Carles Bosch, Nicolas Mérillou) Pre-doctoral stay – Yale University (supervisor: Holly Rushmeier) Research Interests Dr Munoz-Pandiella investigates the intersection of Computer Graphics and Cultural Heritage . Current themes include: Appearance change and weathering analysis in architectural heritage High-fidelity 3-D reconstruction from sparse data Interactive narrative frameworks for 4-D (time-varying) heritage models Physically-based rendering and differentiable inverse rendering Color constancy and illumination-robust imaging for conservation science Publication Landscape His 2024–2025 output is dominated by 4-D cultural-heritage visualization , digital restitution of lost or weathered artworks , and real-time rendering techniques . Earlier work (2021–2022) concentrated on LiDAR intensity correction and neural colorization . Collectively, these publications map onto broad disciplines of Computer Graphics , Computer Vision , and Digital Heritage , with sub-fields spanning differentiable rendering, mural-painting restoration, and interactive 3-D exploration. Scientific Awards & Grants Assistant Professor position award – UPC, 2023 Post-doctoral fellow award – DTIC, Universitat Pompeu Fabra, 2023 Participant and grantee – European Cloud for Heritage OpEn Science (ECHOS), 2024 Service & Leadership Program Chair, CEIG 2026 (with Elena Garces) Program Co-Chair, Web3D 2023 Guest Editor, Computers & Graphics special issue on Web3D 2023 Program Committee member, CEIG 2023 Laboratory & Collaborations Dr Munoz-Pandiella conducts his research within the ViRVIG research center at UPC, collaborating closely with cultural-heritage stakeholders across Europe. His interdisciplinary teams integrate art historians, conservation scientists, and graphics engineers to deliver open-source tools and datasets for heritage documentation and dissemination.

Robert Strzodkaمشاهده پروفایل

استاد

• Parallel algorithms on parallel hardware (GPUs, many-core CPUs, FPGAs)
• Numerical methods (AMG, Krylov, preconditioners, FMM, multilevel methods, SVD)
• Graph algorithms (partitioning, coloring, decomposition, BFS, MST)
• +۷ مورد دیگر

Robert Strzodka is a full professor at Heidelberg University, holding the chair on Application Specific Computing since 2015. He is renowned for pioneering work in GPU-based scientific computing, focusing on optimizing interactions between mathematics, algorithms, and parallel hardware architectures. Current affiliation: Institute of Computer Engineering (ZITI), Heidelberg University Prior roles: NVIDIA (AmgX group), Max Planck Institute (Integrative Scientific Computing), Stanford University (visiting assistant professor) PhD: Numerical mathematics from University of Duisburg-Essen (2004) His research spans parallel algorithms (GPUs, FPGAs), numerical methods (AMG, Krylov, preconditioners), and graph algorithms (partitioning, MST). Publications emphasize GPU acceleration , cache optimization , and mixed precision computing across domains like astrophysics, fluid dynamics, and finite element methods. The 15 most recent articles (2024-2008) demonstrate consistent innovation in parallel computing , GPU algorithms , and numerical methods . Key subfields include stochastic modeling , tridiagonal solvers , level set visualization , and cache-aware algorithms .

Jan Reinekeمشاهده پروفایل

استاد

• static analysis
• real-time systems
• computer architecture
• +۱ مورد دیگر

Jan Reineke is a Professor of Computer Science at Saarland University , where he leads research at the intersection of hardware and software. His work focuses on timing-predictable microarchitectures, real-time systems, and hardware-software security contracts. Affiliation: Saarland University (since 2012) Previous: Postdoctoral scholar at UC Berkeley (2009-2011) Research Interests include static program analysis, real-time systems, computer architecture, and hardware-related security issues. His group develops tools like LLVMTA , uops.info , and Spectector for cache analysis, microarchitectural profiling, and speculative execution security. Design of timing-predictable processors (RTSS 2018, RTSS 2019) Exact LRU cache analysis (CAV 2017, POPL 2019, RTSS 2019) Detection of speculative information flows (S&P 2020, S&P 2021) Quantitative cache analysis frameworks (RTAS 2025) Recent Articles span cache timing analysis, speculative execution vulnerabilities, and performance modeling. Keywords include Real-Time Systems , Security , Computer Architecture , and Static Analysis , with sub-fields covering cache persistence, hardware-software contracts, throughput prediction, and formal verification of side-channels. Scientific Awards include an ERC Advanced Grant (2021) , multiple best paper awards (RTAS 2025, DATE 2024, CCS 2023), and the Intel Early Career Faculty Honor Program (2012). Advising and Grants : He actively recruits PhD students and postdocs for hardware-software security research, supported by the ERC grant. His lab's alumni include Dr. Sebastian Hahn, and he has hosted numerous student assistants. Labs and Teams : He leads the Real-Time and Embedded Systems Lab at Saarland Informatics Campus, collaborating on projects like uops.info (Intel microarchitectural profiling) and chi (cache hierarchy inference).

• Programming Languages
• Compiler Optimization
• Data Movement Analysis
• +۲ مورد دیگر

Auguste Olivry is a researcher at the French Institute for Research in Computer Science and Automation (Inria), France, specializing in programming languages and compiler optimization with focus on data movement analysis for computational workloads. Research interests include: Data Movement Lower Bounds Derivation I/O Complexity Analysis for Affine Programs Polyhedral Model Applications Memory Hierarchy Optimization Compiler Techniques for Data Locality Olivry's work addresses fundamental challenges in optimizing memory access patterns in nested loop programs, with significant implications for high-performance computing and compiler design. The research develops formal methods to automatically derive bounds on data movement and I/O complexity, helping establish theoretical limits for program optimization. Recent publications demonstrate expertise in creating analytical frameworks that characterize data movement requirements in programs with affine loop structures and array accesses, contributing to the theoretical foundations of compiler optimization.

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.

• Lithic Technology
• Neolithic Period
• Chalcolithic Period
• +۵ مورد دیگر

Assoc. Prof. Petranka Nedelcheva, PhD is a faculty member in the Department of Archaeology at New Bulgarian University, specializing in lithic technology and prehistoric archaeology. Her academic position is listed as главен асистент (Associate Professor) with office hours held in Room 219, Building II. Her research focuses on Neolithic and Chalcolithic periods across Southeastern Europe and Anatolia, with particular expertise in lithic production systems, stone tool analysis, and prehistoric exchange networks. Her fieldwork spans multiple countries including Bulgaria, Greece, Turkey, Romania, and Georgia, examining sites such as Troy, Barcın Höyük, Aruchlo, and Pietrele. Prof. Nedelcheva's publication record demonstrates consistent research output in prestigious archaeological journals and edited volumes, with particular emphasis on Balkan-Anatolian interactions during the Neolithic transition period. Her work frequently addresses technological organization, raw material procurement strategies, and the role of lithic industries in understanding cultural change. Postdoctoral Fellowship at The Field Museum, Chicago (2014-2015) Postdoctoral Fellowship at The Field Museum, Chicago (2013-2014) DAAD Scholarship at German Archaeological Institute, Berlin (2011) She has directed multiple research projects including "Sboryanovo - crossroads of cultures and religions" (2005-2010) and participated in international collaborations such as the "Cutting Edge" project with the University of Arkansas. Her teaching responsibilities include undergraduate courses in Egyptology, Introduction to Archaeology, Evolution and Archaeology, and Introduction to Prehistory.