جست‌وجوی استاد و پژوهشگر

• Parallel Computing
• High-Performance Computing
• Computer Architecture
• +۳ مورد دیگر

Prof. Laxmikant V. Kale is a Research Professor and Paul and Cynthia Saylor Professor Emeritus at the University of Illinois at Urbana-Champaign's Department of Computer Science within the College of Engineering. He specializes in parallel computing, high-performance systems, and scientific applications. His research focuses on runtime systems like Charm++, NAMD, and OpenAtom, emphasizing scalability and efficiency in distributed environments. Education: B. Tech., Electrical Engineering, Banaras Hindu University (1977) M.E., Computer Science, Indian Institute of Science (1979) M.S. & Ph.D., Computer Science, SUNY Stony Brook (1985) Research Interests: Parallel programming models, adaptive runtime systems, distributed and GPU computing, and applications in molecular dynamics, computational biology, and astrophysics. His work bridges theory and practice, aiming to optimize performance for exascale systems. Awards: Gordon Bell Award (2002) IEEE Fellow (2010) Sidney Fernbach Award (2012) HPCC Challenge Award (2011) Grants & Projects: NIH-funded NAMD development, NSF projects on ParaTreet and OPEN ATOM, DOE's XPACC Center, and collaborations with NCSA. He advises students on HPC and molecular dynamics, with notable advisees including Maya Taylor and Jessica Williams. Labs & Teams: Director of the Parallel Programming Laboratory, leading Charm++ and NAMD development. Collaborates with teams on OpenAtom for ab initio simulations and EpiSimdemics for disease modeling.

• Robotics
• Intelligent Systems
• Reconfigurable Computing
• +۳ مورد دیگر

Alexander Wold is an Associate Professor at the University of Oslo, affiliated with the Research Group for Robotics and Intelligent Systems within the Faculty of Mathematics and Natural Sciences. His work focuses on reconfigurable computing, embedded systems, and robotics, with notable contributions to FPGA design, real-time systems, and educational technology. He holds a position at the Institute of Informatics (IFI) and can be contacted at alexawo@ifi.uio.no . Research interests include optimizing hardware-software co-design, thermal management in 3D-IC systems, and developing open-source tools like EasyPR for pattern recognition. His publications span topics such as remote cloud labs for reconfigurable logic education, network traffic management in industrial Ethernet, and constraint programming for module placement in FPGAs. Dr. Wold’s articles reflect a strong emphasis on practical applications of robotics and intelligent systems, with a focus on safety-critical industrial systems and autonomic computing. He has contributed to multi-core system design, thermal-aware FPGA architectures, and self-aware systems.

Jörgen Blomvallمشاهده پروفایل

دانشیار

• Financial Engineering
• Stochastic Programming
• Quantitative Finance
• +۳ مورد دیگر

Jörgen Blomvall is an Associate Professor at Linköping University's Department of Management and Engineering (IEI). His research focuses on optimal financial decision-making, accurate financial measurement, and stochastic optimization models applied to financial markets. He develops methods to enhance measurement accuracy for quantities like forward rates, default intensities, and local volatilities, which are critical for equity, interest, credit, and derivative markets. Blomvall's work integrates stochastic programming and dynamic programming to address portfolio optimization, risk management, and transaction cost reduction. He is affiliated with the Operations Management and Finance research group, exploring resource optimization in manufacturing and service industries. His key research areas include financial engineering, stochastic programming, and quantitative risk management. Recent work emphasizes improving dividend estimation from intraday quotes, reducing transaction costs in hedging strategies, and analyzing stage complexity in stochastic programming for portfolio choice. Blomvall's methodologies have advanced the modeling of systematic risks and optimal investment decisions under real-world market constraints. Blomvall has contributed extensively to the development of optimization-based frameworks for performance attribution and yield curve estimation. His articles frequently address practical applications of stochastic models in financial markets, balancing theoretical rigor with computational feasibility. Despite his prolific output, no specific academic awards or student advisees are documented in the provided texts. He is active in the Production Economics (PEK) research group at Linköping University.

Yue Zhaoمشاهده پروفایل

پژوهشگر

• Computational Mathematics
• Molecular Dynamics
• Computational Science
• +۳ مورد دیگر

Yue Zhao is a Researcher at the Department of Computational Mathematics, Science and Engineering (CMSE) within the College of Engineering and College of Natural Science at Michigan State University. Their work focuses on computational methods for molecular dynamics, kinetic theory, and numerical analysis. Key research interests include developing algorithms for efficient simulation of particle systems, variance reduction techniques, and scalable computational approaches for complex physical systems. Zhao's contributions span data-driven modeling, random batch methods, and energy-stable numerical schemes. Recent research trends reflect a strong emphasis on advancing computational tools for molecular dynamics, particularly in handling Coulomb interactions, improving algorithm scalability, and integrating machine learning for kinetic operator modeling. Their publications highlight innovations in both theoretical framework development and practical implementation for high-performance computing environments. No scientific awards or grants are explicitly mentioned in the provided information. Advising roles or student supervision details are not available. Zhao’s affiliation with the interdisciplinary CMSE program underscores a focus on bridging computational mathematics with engineering and natural science applications.

Joshua Pulsipherمشاهده پروفایل

استادیار

• Optimization under Uncertainty
• Data Science
• Machine Learning
• +۷ مورد دیگر

Joshua Pulsipher is an Assistant Professor of Chemical Engineering at the University of Waterloo, Canada. He joined in 2023 and leads a research group focused on interdisciplinary solutions at the intersection of chemical engineering, computer science, mathematics, and statistics. His work addresses challenges in sustainability, energy systems, and data-driven decision-making under uncertainty. He holds a B.Sc. from Brigham Young University and a Ph.D. from the University of Wisconsin-Madison, with postdoctoral training at Carnegie Mellon University. Education: B.Sc. in Chemical Engineering, Brigham Young University (2017) Ph.D. in Chemical & Biological Engineering, University of Wisconsin-Madison (2022) Postdoctoral Research, Carnegie Mellon University (2022–2023) Research Interests: Optimization under uncertainty, machine learning, sustainable systems, infinite-dimensional optimization, energy systems, wildfire mitigation, and software development for accessibility in research. His projects span wildfire management frameworks, resilient infrastructure, and software tools like InfiniteOpt.jl and FlexibilityAnalysis.jl. Awards: Best Presentation Award, JuMP-dev 2024 Travel Award, FOCAPO/CPC (2023) Plenary Speaker at AICHE Annual Meeting (2022) Teaching: Courses include CHE 322 (Numerical Methods), CHE 341 (Process Control), and CHE 521 (Process Optimization). His philosophy emphasizes active learning and inclusivity. Labs/Software: Develops open-source software frameworks such as InfiniteOpt.jl for infinite-dimensional optimization and SAFE-OCC for computer vision sensor reliability. Active in promoting reproducibility and software-driven research.

• High Performance Computing
• Parallel Computing
• Computer Architecture
• +۳ مورد دیگر

Wolfgang E. Nagel is a Professor of Computer Science and Director of the Center for Information Services and High-Performance Computing (ZIH) at Technische Universität Dresden. Since 2001, he has held the Chair for Computer Architecture, leading research in parallel computing and high-performance systems. Previously, he served as Dean of the Computer Science Department (2006–2009) and Director of the High-Performance Computing Center (ZHR) at TU Dresden (1997–2005). His professional experience includes roles at the Research Center Jülich and the California Institute of Technology (CACR). Education : 1985: Diplom-Informatics in Computer Science, RWTH Aachen 1993: Dr. rer. nat. in Computer Science, RWTH Aachen Research Focus : Nagel’s work centers on high-performance computing (HPC), parallel system architectures, and performance analysis tools like VAMPIR. He has contributed to exascale computing roadmaps, cache architecture studies, and scalable application development frameworks. His interdisciplinary projects span computational biology (e.g., endocytosis modeling) and physics simulations. Leadership Roles : Chair of Gauss-Allianz e.V. (since 2008) Member of DFG Commission for Computer Infrastructure (2005–2012) Advisory Board roles for HLRS Stuttgart and FIZ Karlsruhe Grants & Collaboration : His leadership in ZIH and ZHR has driven infrastructure development for German HPC networks. He coordinates national and international initiatives in computational infrastructure and education. Labs/Teams : Directs ZIH, a central hub for Dresden’s HPC services, supporting research across engineering and natural sciences.

• High-performance Computing
• Parallel Algorithms
• Scientific Computing
• +۳ مورد دیگر

Professor Tobias Weinzierl holds the position of Professor in the Department of Computer Science at Durham University. He is the Co-director of the Institute for Data Science (IDAS) and leads the Scientific Computing research group. His expertise includes high-performance computing, parallel algorithms, and scientific computing, with a focus on numerical methods and adaptive mesh refinement techniques. Research interests encompass high-performance computing architectures, parallel algorithm design, and the development of scalable numerical solvers for hyperbolic partial differential equations (PDEs). He has contributed to projects like ExaHyPE, an engine for exascale simulations of wave phenomena, and has authored influential books such as *Principles of Parallel Scientific Computing* and *A Framework for Parallel PDE Solvers on Multiscale Adaptive Cartesian Grids*. He has held roles including inaugural director of the Master in Scientific Computing and Data Analysis (MISCADA) and has reviewed for the European High Performance Computing Joint Undertaking (EuroHPC JU). His work emphasizes resilience in numerical software, compiler optimizations, and energy-efficient computing. Key contributions include the Peano software framework for adaptive grid traversals, and research on task-based parallelism, GPU offloading, and fault tolerance in HPC systems. Current research focuses on exascale computing, multiscale optimisation, and the application of parallel computing to astrophysics and fluid dynamics. Labs/Teams: Scientific Computing research group, ExaHyPE project team Grants/Projects: PI/Co-I on ExCALIBUR projects, H&ES installations

John F. Dannenhoffer IIIمشاهده پروفایل

دانشیار

• Multi-disciplinary Analysis and Optimization (MDAO)
• Computational Geometry (CG)
• Computational Fluid Dynamics (CFD)
• +۳ مورد دیگر

Dr. John F. Dannenhoffer III is an Associate Professor at Syracuse University's Department of Aerospace Engineering, affiliated with the Aerospace Computational Methods Lab (ACML). He specializes in multi-disciplinary analysis and optimization (MDAO), computational geometry, and computational fluid dynamics (CFD), with a focus on aerospace vehicle design. His work centers around the Engineering Sketch Pad (ESP), an open-source system enabling optimal design through feature-based solid modeling and sensitivity-driven optimization. Education: Sc.D., Computational Fluid Dynamics, Massachusetts Institute of Technology (1987) M.E., Aerospace Engineering, Rensselaer Polytechnic Institute (1978) B.S., Aerospace Engineering, Rensselaer Polytechnic Institute (1976) Research Contributions: ESP's unique feature of providing design sensitivities directly from CAD geometry has revolutionized gradient-based optimization. It is used by over 1,000 users across dozens of organizations. Dannenhoffer's publications span parallelization strategies for CFD-based optimization, real-time collaborative design environments, and educational tools integrating programming in mechanical design courses. Awards: 2016 Syracuse University ECS Dean’s Award for Excellence in Engineering Education 2015 and 2014 AIAA Shahyar Pirzadeh Memorial Awards for papers on design sensitivity calculations and conservative fitting in multi-disciplinary analysis Advising & Labs: Leads the ACML lab, focusing on CAD-centric design systems and multidisciplinary analysis. ESP's development highlights his commitment to open-source tools and practical engineering education.

• Computer Architecture
• Mobile Systems
• Robotics and Automation
• +۴ مورد دیگر

Jon Ludlam is a Senior Research Associate at the Department of Computer Science and Technology, University of Cambridge. His primary affiliation is with the Computer Architecture Group, focusing on advanced systems research. Research Interests: Computer Architecture Mobile Systems and Robotics Programming Languages & Verification Security & Systems Networking His work bridges theoretical foundations with practical implementations in distributed computing, cloud infrastructure, and virtualization technologies. Publications reflect a trajectory from early studies in materials physics (e.g., vibrational localization in disordered systems) to modern systems challenges in virtualization, unikernel optimization, and network-aware resource management. Notable contributions include Jitsu: Just-In-Time unikernel summoning and heterogeneous processor pool virtualization frameworks. No scientific awards listed. No advisees documented. Active in collaborative research within the department's Energy and Environment Group and Accelerate Programme for Scientific Discovery.

• Database Management
• Transaction Management
• Replication
• +۴ مورد دیگر

Alan Fekete is a Professor of Enterprise Software Systems in the School of Computer Science at the University of Sydney. He holds a BSc (Hons) from the University of Sydney and a PhD from Harvard University's mathematics department. With over 30 years at the University of Sydney, he has made significant contributions to database systems, distributed computing, and computing education. His research focuses on improving software systems' state-of-practice, particularly in transaction management, replication, and cloud computing. Education background: BSc(Hons) from the University of Sydney, PhD in Mathematics from Harvard University. Research interests include database management (transaction systems, replication), cloud computing, distributed systems, software engineering, and computing education. His teaching spans enterprise software architecture, data models, and systems analysis. He has supervised 13 doctoral students and contributed to curriculum development, notably in Java programming and cloud workforce training. Recent publications explore transactional frameworks, database benchmarking, and concurrency control. He is a Distinguished Scientist of ACM and a member of IEEE and Australian Computer Society. His work on robust rolling-upgrades and cloud storage benchmarking addresses modern system challenges. Fekete's teaching innovations include data-centric curricula and frameworks for self-assessment in programming education.

Basem Suleimanمشاهده پروفایل

مدرس ارشد

• AI-driven Software Services
• Applied Artificial Intelligence (GenAI/LLM, Machine Learning)
• Education Technologies (Personalized Learning)
• +۴ مورد دیگر

Dr. Basem Suleiman is an Adjunct Senior Lecturer in Advanced Computing at the University of Sydney and Deputy Director of the Software Engineering Program at UNSW Sydney. He holds a Ph.D. in Computer Science from UNSW (2012) and has over a decade of experience in academia and industry, including roles at SAP, CSIRO’s Data61, and leading universities. Education: Ph.D. in Computer Science, UNSW Sydney (2012) Graduate Certificate in Research Commercialization & Management, UNSW Sydney Master of Computing (Software Engineering), Western Sydney University Research Interests: AI-driven Software Services: Federated Learning, Recommender Systems, Human-Machine Interaction Applied AI: GenAI/LLMs, Machine Learning, Deep Learning for FinTech, Healthcare, and Education Cloud Computing: Elasticity, Workload Management, Privacy-Preserving Techniques Key Contributions: Developed AI models for structural health monitoring, personalized learning systems, and anomaly detection Secured research grants and published 80+ papers in venues like ACM Transactions, IEEE Conferences, and IJCAI Supervised 15+ PhD/MPhil students and led industry partnerships with SAP, CSIRO, and global tech firms Awards & Recognition: Runner-up Best Paper Award (2023) Dean’s Commendation for Teaching Excellence Invited Keynote Speaker (2022 ICoSEIT) Engagement: Leads industry collaborations as UNSW’s Industry Capstone Liaison Officer, fostering partnerships for student projects and curriculum innovation.

Steve Blackburnمشاهده پروفایل

استاد

• Computer Science
• Programming Languages
• Memory Management
• +۵ مورد دیگر

Steve Blackburn is a Professor of Computer Science at the Australian National University (ANU), affiliated with the ANU College of Systems & Society. His research focuses on programming language implementation, garbage collection algorithms, performance analysis, and high-performance runtime systems. He leads key projects like the DaCapo benchmark suite and the MMTk memory management framework. **Education & Background**: No specific education details provided, but his career spans decades with extensive contributions to computer science research. **Research Interests**: Blackburn prioritizes garbage collection innovation, memory management optimization, and empirical performance evaluation. His work bridges theory and practice, addressing challenges in managed runtimes, just-in-time compilation, and hardware-software co-design. He emphasizes reproducible research through shared infrastructure. **Recent Article Trends**: His 2020–2025 publications emphasize low-latency garbage collection, memory management in distributed systems (e.g., Mako collector for datacenters), and novel approaches to Java/JVM performance analysis. He also explores hardware features like transactional memory and their impact on runtime systems. **Awards**: ACM Fellow (2020+). **Grants & Leadership**: Served as Associate Dean for Diversity & Inclusion in ANU’s College of Engineering and Computer Science (2014–2019). Editorial roles include ACM TOPLAS Associate Editor (2017–2020) and program chairs for top conferences like PLDI (2015) and ISMM (2008). **Labs & Projects**: Leads the MMTk and DaCapo initiatives, foundational tools for memory management and benchmarking in academia and industry.

• Software Security
• Static Analysis
• Program Analysis
• +۳ مورد دیگر

Dr. Dominik Helm is an interim professor for Software Engineering at the University of Duisburg-Essen . His research focuses on modularization and automatic parallelization of collaborative static analyses, particularly through the OPAL framework for Java VM bytecode. He is the lead maintainer of OPAL, which aims to enhance precision, soundness, and scalability in static analysis for bug and security vulnerability detection. Helm has also received the Ernst Denert Software-Engineering-Preis (2024) for his contributions. Education : Helm earned his PhD in Computer Science from Technische Universität Darmstadt in 2023, with his thesis titled Modular Collaborative Program Analysis . His academic background includes extensive work on purity analysis, call graphs, and modular static analysis techniques. Research Interests : Helm's work bridges theoretical advancements in program analysis with practical tools. His key areas include cross-language analysis (e.g., AXA framework), modular call-graph algorithms (Unimocg), and soundness theory for analysis architectures. He emphasizes improving static analysis tools to handle complex language features and ensure robust software quality. Publications & Awards : Helm has authored/co-authored over 15 papers in top-tier conferences like ASE, ISSTA, and ESOP. His 2024 work on AXA and Unimocg showcases cross-language interoperability and modular consistency. The Ernst Denert Preis recognizes his impactful contributions to software engineering research. Technical Leadership : As OPAL's lead maintainer, Helm drives collaborative research in static analysis frameworks. His projects often involve interdisciplinary teams, reflecting his commitment to practical software engineering solutions.

Chris Stoneمشاهده پروفایل

استاد

• Formal Methods
• Programming Languages
• Natural Language Processing
• +۳ مورد دیگر

Chris Stone is a Professor specializing in formal methods and the intersection of natural language processing with mathematical proofs. He co-directs the Math+CS Clinic Program at his institution alongside Prof. Talithia Williams (Math) and Prof. Ben Wiedermann (CS). His research focuses on improving the readability and accessibility of computer-verified proofs, analyzing language patterns in academic mathematical proofs, and developing tools like the ProofLang Corpus. He collaborates extensively with undergraduate researchers and has contributed to foundational work in proof assistants such as Coq and Andromeda. His work bridges theoretical computer science and practical applications, including tools like RZ for computable mathematics and studies in multithreading performance optimization. He explores how imperative language structures in proofs affect formal verification systems, retraining NLP models to better parse mathematical texts. Key contributions include analyzing over 3.7M proofs from arXiv.org to identify linguistic patterns and collocations, discovering that phrases like 'without loss of generality' exhibit predictable syntactic structures. His projects also span curriculum analysis (CS Curricula: https://cscurricula.fyi) and explorations of non-classical logics. Labs/Teams: Principal investigator of the ProofLang Corpus project and core member of the Math+CS Clinic program. Current research directions include making proof assistants more user-friendly for mathematicians and improving cross-disciplinary collaboration through language-aware verification systems.

Justin Winzenburgمشاهده پروفایل

استاد

• New Testament Studies
• Roman Imperial Context
• Biblical Theology
• +۳ مورد دیگر

Dr. Justin Winzenburg is a Professor of New Testament and Director of the Crown Honors Program at Crown College's School of Theology + Ministry. He holds a Ph.D. in New Testament from Middlesex University (London School of Theology), an M.A. in Theological Studies from Bethel Seminary, and a B.A. in Bible and Theology from Crown College. His research focuses on the New Testament's Roman imperial context, particularly exploring anti-imperial themes in Ephesians and employing methodologies like empire criticism and speech-act theory. He co-authored Across the Pond: Navigating a PhD in Biblical Studies from a Distance (2022) and authored Ephesians and Empire (2022), which evaluates the epistle's subversion of Roman imperial ideology. Dr. Winzenburg’s work bridges academic rigor and pastoral impact, emphasizing how historical and theological studies can strengthen Christian faith. He is an affiliated member of the Society of Biblical Literature, Institute for Biblical Research, British New Testament Society, and Upper Midwest Honors Council. His presentations include discussing Ephesians as an 'anti-imperial hidden transcript' at the 2010 SBL/AAR conference. In 2021–2022, he received Crown College's Distinguished Scholarship Award for his contributions to biblical studies. His publications explore topics such as Markan demonology's liberationist dimensions, Pauline ethics in Ephesians, and postcolonial interpretations of Mark. He advocates for contextualized exegesis that addresses power dynamics in ancient and modern societies. As Honors Director, he integrates interdisciplinary approaches to enhance student scholarship.