جست‌وجوی استاد و پژوهشگر

Andreas Dednerمشاهده پروفایل

دانشیار

• Numerical Analysis
• Scientific Computing
• Higher Order Methods
• +۴ مورد دیگر

Andreas Dedner is an Associate Professor at the University of Warwick's Department of Mathematics, serving as Director of Studies for the MASDOC Doctoral Training Centre and a core developer of the DUNE Project. His work focuses on numerical analysis, scientific computing, and higher-order methods for nonlinear evolution equations, with applications in geophysical flows, magnetohydrodynamics, and software engineering. He leads research on discontinuous Galerkin methods, grid-based numerical schemes, and parallel computing. He has organized numerous workshops, including the Dune School at Warwick (2012) and conferences on geometric multigrid methods. His software contributions include the DUNE-FEM module and ALU-Grid Library, emphasizing efficient adaptive grid techniques and parallelization. Key research grants include EPSRC projects on finite element methods and NERC-funded weather modeling initiatives. His research spans computational fluid dynamics, surface PDEs, and interdisciplinary applications like radiation magnetohydrodynamics. Recent publications address stabilization techniques, virtual element methods, and coupled flow models. Dedner’s work bridges theoretical analysis with practical software development, impacting both academic and applied scientific computing landscapes.

Agnieszka Nowakمشاهده پروفایل

پژوهشگر ارشد

• Particle Physics
• Neutrino Physics
• Astrophysics
• +۳ مورد دیگر

Agnieszka Nowak is a Research Fellow at the Department of Physics , Lancaster University , specializing in experimental particle physics and neutrino research. She is actively involved with the DUNE (Deep Underground Neutrino Experiment) collaboration, contributing to detector development, software, and astrophysical applications. Role : DUNE PCB Research Associate Department : Physics Institution : Lancaster University Her research focuses on neutrino physics , liquid argon time-projection chambers (TPCs) , and supernova detection . She develops algorithms for energy measurement in particle detectors and contributes to the DUNE experiment's software and computing infrastructure. Recent publications highlight her work on neutrino oscillations , detector calibration techniques , and international collaborations for accelerator upgrades. Her efforts span both theoretical and experimental domains, bridging particle physics with astrophysical phenomena.

Kevin Pittsمشاهده پروفایل

استاد

• Experimental Particle Physics
• Neutrino Physics
• High Energy Physics
• +۳ مورد دیگر

Kevin Pitts is the Dean of the College of Science at Virginia Tech and holds the Lay Nam Chang Dean’s Chair. He is also a Professor of Physics at Virginia Tech and concurrently serves as Chief Research Officer at Fermilab National Accelerator Laboratory. Previously, he was a Professor of Physics at the University of Illinois at Urbana-Champaign. His research focuses on experimental particle physics, particularly neutrino physics and the Muon g-2 experiment. Pitts has over 25 years of experience in academic and research leadership, including roles as Vice Provost for Undergraduate Education and Associate Dean at the University of Illinois. He earned his Ph.D. in Physics from the University of Oregon in 1994, preceded by a master’s degree and a bachelor’s degree from the same university. His research contributions include over 600 peer-reviewed articles on particle physics, with a focus on neutrino experiments (e.g., DUNE) and precision measurements of the muon’s magnetic moment. He has led major accelerator projects at Fermilab, including the Deep Underground Neutrino Experiment. Pitts’ work addresses fundamental questions in particle physics and detector technology. Education: B.Sc. Anderson University; M.Sc. and Ph.D. (1994) University of Oregon Affiliations: Virginia Tech (Dean, Physics Professor), Fermilab (Chief Research Officer) His articles emphasize cutting-edge projects like the DUNE neutrino detector and Muon g-2 experiments, reflecting expertise in particle detection, computational methods, and international collaborations. Recognized for leadership, Pitts has received the Lay Nam Chang Dean’s Chair, an endowed position supporting scientific leadership. Grants & Leadership: Directed Fermilab’s science program, managed undergraduate education initiatives, and secured funding for multi-institutional projects Labs/Teams: DUNE Collaboration, Fermilab Accelerator Division, Muon g-2 Experiment Team

• Particle Physics
• Neutrino Physics
• Dark Matter Detection
• +۳ مورد دیگر

Dr Anthony Ezeribe is a Researcher at the University of Sheffield's School of Mathematical and Physical Sciences, specializing in experimental particle physics and astroparticle physics. He serves as the Underground Laboratory Operations Officer and is affiliated with the Particle Physics and Particle Astrophysics Research Cluster. His primary contributions focus on the DUNE (Deep Underground Neutrino Experiment) and COSINE-100 collaborations, advancing neutrino physics, dark matter detection, and detector technology. His research interests encompass neutrino oscillations, neutrino interactions in liquid argon time projection chambers (LArTPCs), dark matter searches using sodium iodide detectors, and the development of advanced computing frameworks for high-energy physics experiments. Dr. Ezeribe has contributed to the design and optimization of DUNE's detectors, including Phase II concepts, and has pioneered algorithms for neutrino vertex reconstruction using machine learning. He also investigates background reduction techniques in COSINE-100 and explores novel gas mixtures for directional dark matter detection. Dr. Ezeribe's work integrates cutting-edge detector technologies, data analysis methodologies, and international collaborations to address fundamental questions in particle physics. His recent efforts include improving the sensitivity of DUNE to supernova neutrinos and enhancing the performance of pixel-readout systems in LArTPCs. He actively participates in the European Strategy for Particle Physics, contributing to accelerator upgrades and computing infrastructure for large-scale experiments.

Wanwei Wuمشاهده پروفایل

استادیار مدعو

• Particle Physics
• Neutrino Physics
• Experimental Physics
• +۳ مورد دیگر

Wanwei Wu is an Adjunct Assistant Professor in the Department of Physics & Astronomy at the University of Pittsburgh, affiliated with the Dietrich School. His research focuses on neutrino physics, particularly using liquid argon time projection chambers (LArTPCs) in experiments like MicroBooNE and DUNE . Key areas include neutrino-nucleus interactions, cross-section measurements, and detector development. He contributes to analyzing neutrino oscillations, supernova neutrinos, and novel particle physics searches. Wu's work at MicroBooNE involves studying charged-current interactions, pion production, and suppression effects in argon. For DUNE, he explores vertex reconstruction, computing infrastructure, and detector design for Phase II. His technical contributions span energy estimation algorithms, scintillation light analysis, and machine learning applications in neutrino event reconstruction. Recent projects include validating neutrino interaction models, demonstrating neutron identification in LArTPCs, and investigating sterile neutrino signals. His research bridges experimental methods with theoretical predictions, aiming to advance our understanding of fundamental particle physics phenomena.

• High Performance Computing
• Numerical Methods
• Scientific Computing
• +۴ مورد دیگر

Dr. Anne Reinarz is an Associate Professor in the Department of Computer Science at Durham University, specializing in High Performance Computing, Numerical Methods, and Scientific Computing. Her research focuses on developing scalable algorithms and software frameworks for complex systems, including ExaHyPE for wave simulations and dune-composites for composite material modeling. She actively collaborates with interdisciplinary teams to address challenges in fault tolerance, parallel computing, and uncertainty quantification. Her work emphasizes computational efficiency and resilience, with contributions to adaptive mesh refinement, high-order numerical methods, and error detection in task-based systems. Reinarz has supervised multiple postgraduate students in computational mechanics and numerical analysis. Key projects include ExaHyPE—an engine for hyperbolic PDE systems—and UM-Bridge, a tool for uncertainty quantification. Her publications span conferences like SC and journals such as Journal of Computational Physics , reflecting her impact on computational science and engineering. Reinarz’s research bridges theoretical advancements with practical applications in aerospace composites, seismic simulation, and gravitational physics, driven by the need for robust and scalable computational solutions.

Jeff Moerschمشاهده پروفایل

استادیار

• Planetary Geology
• Remote Sensing
• Mars Exploration
• +۵ مورد دیگر

Jeff Moersch serves as Assistant Professor in the Department of Earth and Planetary Sciences at the University of Tennessee, Knoxville, specializing in planetary surface processes and remote sensing with emphasis on Mars exploration. His interdisciplinary work bridges spacecraft mission operations, terrestrial analog studies, and instrument development. Bachelor’s in Physics, Cornell University Master’s in Geology, Arizona State University Master’s in Astronomy, Cornell University Ph.D. in Astronomy, Cornell University Dr. Moersch’s research investigates Martian surface environment evolution through mineralogic composition analysis using infrared spectroscopy, while simultaneously advancing spacecraft instrument capabilities. His dual focus encompasses interpreting orbital/surface data from missions like Mars Odyssey and Mars Exploration Rovers, and conducting Earth-based validation studies in Mars analog terrains including Iceland and Chile’s Atacama Desert. This approach integrates field geology, laboratory spectroscopy, and drone-based thermal imaging to develop robust methodologies for planetary exploration. Recent publication trends (2023–2025) demonstrate increasing emphasis on drone/UAV applications for planetary surface characterization, thermal inertia analysis of Martian dunes and alluvial fans, and biosignature detection frameworks in terrestrial analogs. His work consistently addresses critical knowledge gaps in Mars’ hydrological history and surface processes through innovative remote sensing techniques. No scientific awards were mentioned in the provided source material. While specific student mentoring details are absent from the source text, Dr. Moersch’s leadership in NASA mission science teams (Voyager 2, Galileo, Mars Observer, Deep Space 2, Mars Odyssey, Mars Exploration Rover) indicates substantial grant-funded research activity. His work frequently involves collaborative field campaigns in international Mars analog sites requiring multidisciplinary teams. His research group conducts drone-based thermophysical investigations and instrument development projects, notably testing planetary exploration methodologies at Holuhraun, Iceland, and Salar de Pajonales, Chile. Current efforts focus on rover-aircraft exploration networks and AI-enhanced data analysis systems for future Mars missions.

• Particle Physics
• Dark Matter Detection
• Neutrino Detection
• +۳ مورد دیگر

Sagar Sharma Poudel is a Postdoctoral Research Scientist at the South Dakota School of Mines and Technology , focusing on advanced neutrino and dark matter research. Key Affiliation : South Dakota School of Mines and Technology Role : Postdoctoral Research Scientist Research Areas : His work spans Liquid Argon Time Projection Chambers , Deep Learning Applications for particle detection, and Dark Matter Searches . He contributes to the DUNE Experiment, emphasizing neutrino interaction reconstruction and detector calibration. Publication Trends : Recent work centers on Liquid Argon Purity , Deep Learning Vertex Reconstruction , and Low-Mass Dark Matter Constraints . He has developed algorithms for energy measurement in TPCs and studied background reduction techniques in rare-event searches. Contact : Email: sagar.sharmapoudel@sdsmt.edu

Jingbo Wangمشاهده پروفایل

استادیار

• Neutrino Physics
• Particle Physics
• Experimental Physics
• +۳ مورد دیگر

Jingbo Wang is an Assistant Professor of Physics at the South Dakota School of Mines & Technology (SDSMT). His research focuses on precision measurements of neutrino properties to explore physics beyond the Standard Model. He is actively involved in experiments like the Deep Underground Neutrino Experiment (DUNE) and the Accelerator Neutrino-Neutron Interaction Experiment (ANNIE), leveraging Liquid Argon Time Projection Chambers (LArTPCs) and gadolinium-loaded water detectors. His work addresses neutrino oscillation parameters, mass ordering, and CP violation. Wang holds a B.S. and Ph.D. in Physics from Tsinghua University. Prior to SDSMT, he held roles including Assistant Project Scientist at UC Davis, Intensity Frontier Fellow at Fermilab, and Postdoctoral positions at UC Davis and Argonne National Laboratory. His research emphasizes experimental neutrino physics with a focus on detector technology advancements. Key areas include optimizing LArTPC performance, analyzing neutron interactions, and developing machine learning techniques for event reconstruction. He contributes to international collaborations like DUNE, which aims to revolutionize our understanding of neutrino behavior and the universe's matter-antimatter imbalance. Wang’s technical expertise spans neutrino detection systems, scintillation light analysis, and GPU-accelerated simulations. His recent work addresses challenges in low-energy physics, neutron cross-section measurements, and background mitigation strategies critical to next-generation neutrino experiments.

Timothy Priceمشاهده پروفایل

استادیار

• Coastal Dynamics
• Coastal Morphodynamics
• Sediment Transport
• +۷ مورد دیگر

Dr. Timothy Price is an Assistant Professor in Physical Geography at Utrecht University, part of the Faculty of Geosciences. His research focuses on coastal dynamics, morphodynamics, sediment transport, and citizen science. He leads projects such as EURECCA and CoastSnap NL, addressing coastal climate adaptation and crowd-sourced monitoring. Price holds a PhD from Utrecht University (2013) and has supervised numerous students in BSc and MSc theses. His work integrates field observations, numerical modeling, and remote sensing to understand coastal processes and inform sustainable management strategies. Key roles: Research leader of EURECCA, Project coordinator for CoastSnap NL. Education: PhD 2013, Utrecht University. Research Themes: Pathways to Sustainability, Water, Climate and Future Deltas. Research interests include coastal morphodynamics, sediment transport mechanisms, and the impact of climate change on coastal systems. Recent work explores shoreface nourishments, citizen science applications, and mixed-energy coastal systems. His team collaborates with institutions like Deltares and Rijkswaterstaat to bridge research and practical coastal management. Publications span over 550 citations (Google Scholar, 2022), including studies on SPAWs, numerical modeling of dune erosion, and satellite-based coastal monitoring. Awards include a NWO Veni Grant (2017).

• Scientific Computing
• High Performance Computing
• Numerical Analysis
• +۸ مورد دیگر

Robert Klöfkorn is an Associate Professor and Senior Lecturer in the Department of Mathematics at Lund University's Faculty of Sciences, affiliated with MERGE: Modelling the Regional and Global Earth system and eSSENCE: The e-Science Collaboration. His research focuses on Numerical Analysis and Scientific Computing, particularly in high-performance computing frameworks. Research Interests: Klöfkorn specializes in: Development of open-source scientific software (DUNE, OPM initiatives) Higher-order adaptive methods for partial differential equations Applications ranging from climate dynamics to porous media flow Structure-preserving methods for multiphase flow with imaging applications Discontinuous Galerkin methods and mesh refinement techniques His recent publications (2018-2021) demonstrate consistent focus on computational mathematics frameworks, finite volume/discontinuous Galerkin methods, and adaptive algorithms for complex physical systems like fluid dynamics and porous media. Work frequently intersects high-performance computing and open-source tool development. Projects & Leadership: Principal Investigator for AI-Twin project (Swedish Research Council, 2025-2029) on physics-informed AI for imaging reconstructions Leads eSSENCE@LU 11:1 initiative in computational imaging (2025-2026) Co-founder of Distributed and Unified Numerics Environment (DUNE) Core contributor to Open Porous Media Initiative (OPM) Teaching: Oversees courses across all academic levels including Computational Programming (Python), Numerical Methods for PDEs, and Simulation Tools. Supervises bachelor/master theses requiring advanced numerical analysis proficiency.

• Particle Physics
• Neutrino Physics
• Experimental Physics
• +۳ مورد دیگر

Dr Rhiannon Jones serves as a Lecturer in Experimental Particle Physics within the School of Mathematical and Physical Sciences at the University of Sheffield. She is an active member of the Particle Physics and Particle Astrophysics Research Cluster (PPPA), contributing to major international collaborations including the Deep Underground Neutrino Experiment (DUNE) and Short-Baseline Near Detector (SBND) project. Her work focuses on advancing liquid argon time projection chamber (LArTPC) technologies for neutrino detection, with responsibilities spanning detector development, data analysis, and physics interpretation across multiple experimental frameworks. Her research program centers on experimental neutrino physics, specifically targeting neutrino interaction measurements, detector response optimization, and background mitigation in LArTPC systems. Key investigation areas include scintillation light characterization for particle identification, reconstruction of low-energy electron events, simulation of detector performance using GPU-accelerated computing, and analysis of cross-section uncertainties affecting supernova neutrino studies. Her work bridges particle physics, nuclear physics, and computational science to address fundamental questions about neutrino properties, oscillation parameters, and potential sterile neutrino signatures. Analysis of her publication record from 2018-2024 reveals consistent contributions to neutrino experiment infrastructure and physics analysis. Early work established foundations in joint oscillation analyses (VALOR) and SBND detector construction, while recent efforts have driven DUNE Phase II development, vertical drift detector technology, and innovative data processing techniques using deep neural networks. Her publications demonstrate growing leadership in technical design reporting, white paper authorship, and cross-collaboration studies addressing sterile neutrino phenomenology and detector performance optimization. The Particle Physics and Particle Astrophysics Research Cluster (PPPA) provides Dr Jones's primary institutional framework at Sheffield, connecting her to a multidisciplinary team engaged in detector development, data acquisition systems, and physics analysis for both accelerator-based experiments and astroparticle physics. Within PPPA, she contributes specifically to the experimental neutrino program, working on near-detector calibration systems for SBND and far-detector technologies for DUNE, with strong operational ties to Fermilab and international partner institutions.

• Particle Physics
• Neutrino Interactions
• Dark Matter Detection
• +۴ مورد دیگر

Professor Jaroslaw Nowak is a faculty member in the Department of Physics at Lancaster University. He serves as Chair of the Nuclear & Particle Physics Theme Group and actively coordinates and teaches multiple advanced physics modules including Phys311 (Particle Physics) and Phys133 (IT Skills - LaTeX). As a leading figure in neutrino physics, he contributes to detector development and simulation software. Phys311 (Particle Physics) - Coordinator/Instructor Phys133 (IT Skills - LaTeX) - Coordinator/Instructor Phys450 (MPhys projects) - Report Moderator His research program focuses on experimental particle physics with particular emphasis on neutrino interactions, dark matter detection, and liquid argon detector technology. Key areas include resonance excitations, hyperon production, and nuclear effects in neutrino scattering. He leads the NuWro generator development and contributes to GENIE and NUANCE neutrino simulation frameworks. Recent publications highlight his work on neutrino cross-section measurements (MicroBooNE, DUNE), detector calibration (DarkSide-20k), and software development (ProtoDUNE-SP algorithms). His team investigates supernova neutrino detection capabilities and MeV-scale sensitivity in LArTPCs, while maintaining active participation in the DUNE, SBND, and MicroBooNE collaborations. Professor Nowak supervises PhD candidates including Krittika Adhikari and Bethany McCusker, while previous students like Dr. Christophe Thorpe and Dr. Adam Lister have completed neutrino interaction studies. His research receives support from STFC and MSCA grants, including DUNE-related projects and DarkSide travel funding.

Ian Shoemakerمشاهده پروفایل

دانشیار

• Theoretical Particle Physics
• Dark Matter Detection
• Neutrino Physics
• +۴ مورد دیگر

Ian Shoemaker is an Associate Professor in the Department of Physics at Virginia Polytechnic Institute and State University (Virginia Tech), within the College of Science. He specializes in theoretical particle physics with a focus on neutrino physics, dark matter detection, and astrophysical phenomena. His research involves collaborations with major experimental facilities like the Deep Underground Neutrino Experiment (DUNE), where he contributes to software development, detector design, and physics analysis. Shoemaker holds a Ph.D. from UCLA. His work integrates theoretical models with experimental data to explore fundamental questions in particle physics, including neutrino oscillations, dark matter interactions, and supernova neutrino behavior. Key research interests include detecting new physics through neutrino experiments, studying sterile neutrinos, and probing dark matter via cosmic ray and neutrino signatures. His recent articles emphasize DUNE's role in advancing neutrino science, including CP violation studies, supernova detection capabilities, and searches for beyond-Standard-Model particles. He also investigates neutrino properties such as polarizability and interactions with dark sector particles, leveraging experimental facilities like ProtoDUNE and Super-Kamiokande. Shoemaker’s contributions extend to detector technology advancements, including liquid argon time projection chambers (LArTPCs), and computational methods for neutrino event reconstruction. His research bridges theoretical predictions with experimental validation, addressing topics like cosmic neutrino backgrounds and high-energy cosmic neutrino probes of fundamental physics.

Holger Meyerمشاهده پروفایل

استاد

• Experimental High Energy Particle Physics
• Neutrino Physics
• Nuclear Physics
• +۳ مورد دیگر

Dr. Holger Meyer is a Professor of Physics at Wichita State University's Fairmount College of Liberal Arts and Sciences, within the Department of Mathematics, Statistics, and Physics. He holds a Ph.D. from Virginia Tech (2002) and specializes in experimental high-energy particle physics, with a focus on neutrino physics. His research involves collaborations with major institutions like Fermi National Accelerator Laboratory (Fermilab) and Brookhaven National Laboratory, contributing to the NOvA and DUNE long-baseline neutrino experiments. Dr. Meyer also explores space-based neutrino detection in collaboration with NASA's Marshall Space Flight Center and other universities, aiming to detect neutrinos in near-solar environments. His research interests span neutrino oscillation studies, CP violation, and astrophysical applications such as supernova neutrino detection. He actively participates in detector development for DUNE, including liquid argon time projection chambers (LArTPCs) and software computing frameworks. Dr. Meyer has contributed to cross-section measurements in neutrino interactions and pioneered methods for neutrino interaction vertex reconstruction using machine learning. Publications highlight his work on DUNE's supernova pointing capabilities, Fermilab accelerator upgrades, and NOvA's oscillation parameter analyses. He is a key figure in international physics collaborations, advancing neutrino physics through both terrestrial and space-based experimental initiatives.