جست‌وجوی استاد و پژوهشگر

Christopher Unsworthمشاهده پروفایل

پژوهشگر

• Coastal Oceanography
• Sediment Transport
• Turbulence
• +۳ مورد دیگر

Christopher Unsworth is a Researcher at the School of Ocean Sciences, Bangor University, specializing in coastal oceanography and sediment transport dynamics. He currently leads the SEACAMS-2 project, focusing on renewable energy infrastructure and sediment-turbulence interactions. His work integrates field measurements, numerical modeling, and advanced acoustic techniques to study hyper-tidal environments like Morecambe Bay. With expertise in acoustic instrumentation (ADCP, SBES) and software (MATLAB, ArcGIS), he has conducted extensive fieldwork in Canada’s South Saskatchewan River and contributed to projects like BlueCOAST. His research aligns with UN SDGs, emphasizing sustainable coastal management and renewable energy innovation. Education: PhD in River Dunes in Unsteady Conditions (University of Hull, 2015) MRes in Catchment Dynamics and Management (University of Leeds, 2011) BSc in Geology and Geography (University of Birmingham, 2010) Research Interests: Coastal sediment dynamics and turbulence in tidal systems Infrastructure impacts on seabed morphodynamics Offshore wind energy and cable self-burial mechanisms Integration of field data with numerical models Key Projects: SEACAMS-2: Turbulence and sediment transport for renewable energy ECOWind-ACCELERATE: Seabed mobility around windfarms META in Wales: Marine energy test site characterization Collaborations: Active partnerships with institutions like Cefas and Nortek, focusing on instrument development and environmental monitoring.

Linda Cremonesiمشاهده پروفایل

استاد

• Neutrino Physics
• Particle Physics
• Neutrino Oscillations
• +۴ مورد دیگر

Linda Cremonesi is a UK Future Leaders Fellow and Professor in Particle Physics at Queen Mary University of London, serving as Head of the Centre for Fundamental Physics within the School of Physical and Chemical Sciences. Her research focuses on neutrino physics, including oscillations, interactions, and astronomy. She leads major experiments such as NOvA (Analysis Coordinator) and DUNE (near detector simulation leader), and contributes to ANITA, a NASA-funded Antarctic balloon experiment. She holds a PhD from Queen Mary (2015) and conducted postdoctoral work at UCL, where she contributed to ANITA-IV commissioning. Her scientific achievements include a £1.5M UKRI Future Leaders Fellowship (2020–2024) and the Institute of Physics Science in Society Award for public engagement. Her grants span detector development, neutrino interactions, and collaboration projects like the Particle Physics Research Centre (STFC grants totaling £1.86M+). Research interests combine neutrino oscillations (NOvA, DUNE) with neutrino astronomy (ANITA, PUEO). She applies machine learning to neutrino detection and reconstruction, advancing technologies like pixelated liquid argon time projection chambers. Public engagement includes science festivals, podcasts, and outreach initiatives targeting underrepresented groups. Her leadership roles and interdisciplinary work reflect her commitment to advancing particle physics and broadening its impact.

Jon Haysمشاهده پروفایل

استاد

• Particle Physics
• Higgs Boson
• Neutrino Oscillations
• +۴ مورد دیگر

Prof. Jon Hays is a Professor of Physics and Director of the Particle Physics Research Centre at Queen Mary University of London. His research focuses on particle physics, including Higgs boson properties, neutrino oscillations, and large-scale scientific computing. He leads the STFC IRIS project, managing UK-wide research computing resources for high-energy physics and national facilities. Hays has contributed to major experiments like ATLAS (CERN), DZero (Fermilab), and NOvA, with recent work on sustainability for dark matter experiments like XLZD. Roles: Professor, Director Particle Physics Research Centre, Science Director STFC IRIS. Research: Higgs boson measurements, neutrino oscillations (NOvA/DUNE), magnetic monopole searches (MoEDAL), and research computing infrastructure. Grants: Includes UKRI Federated Compute NetworkPlus (£911k), GridPP7 (£1.8M), and STFC IRIS staff grants. Collaborations: ATLAS, DUNE, NOvA, and GridPP. His work bridges fundamental physics with computational challenges, emphasizing sustainability in next-gen experiments.

James Battatمشاهده پروفایل

استاد

• Experimental Particle Astrophysics
• Neutrino Detection
• Dark Matter Detection
• +۳ مورد دیگر

James Battat is a Professor of Physics at Wellesley College, specializing in experimental particle astrophysics. His research focuses on neutrino and dark matter detection, with a particular emphasis on advancing detector technologies for large-scale experiments like the Deep Underground Neutrino Experiment (DUNE). He collaborates with the Q-Pix consortium to develop 3D tracking systems for rare-event detection and works with the APOLLO collaboration on precision lunar laser ranging to test gravitational theories. Education: B.S., Brown University M.A., Harvard University Ph.D., Harvard University Research Interests: Experimental particle astrophysics, neutrino oscillations, dark matter detection, gravitational physics, and detector technology development. His work bridges theoretical physics with cutting-edge experimental techniques, such as using LArTPCs for neutrino detection and millimeter-precision lunar laser ranging to constrain gravitational models. Notable Projects: Leadership in the Q-Pix system for DUNE, APOLLO's tests of the strong equivalence principle, and development of pixel-readout technologies. His research aims to address fundamental questions like the matter-antimatter asymmetry in the Universe and the nature of dark matter. Teaching: Teaches courses including Classical Mechanics (PHYS207) and Relativity and Quantum Physics (PHYS100), emphasizing hands-on learning and student exploration. He focuses on creating inclusive environments where students engage deeply with physics concepts. Labs/Teams: Active in the Q-Pix consortium and APOLLO collaboration. His lab develops novel detector systems and contributes to international collaborations in neutrino and gravitational physics.

David Caratelliمشاهده پروفایل

استادیار

• Neutrino Physics
• Particle Astrophysics
• Liquid Argon Time Projection Chamber (LArTPC) Technology
• +۳ مورد دیگر

David Caratelli is an Assistant Professor in the Department of Physics at University of California Santa Barbara. His research focuses on experimental particle physics through neutrino studies to understand fundamental laws of nature and universe evolution. Member of MicroBooNE collaboration (Fermilab Short Baseline Neutrino program) Participant in Deep Underground Neutrino Experiment (DUNE) Office: Broida Hall 5119 Contact: (805) 893-7567 | dcaratelli@ucsb.edu Key research areas include: Neutrino Oscillations and New Physics Searches LArTPC Calibration and Reconstruction Sub-MeV Energy Regime Expansion Coherent Elastic Neutrino-Nucleus Scattering (CEvNS) Dark Matter Detection Techniques Electron Amplification in Liquid Argon Recent publications examine: Sterile neutrino constraints (2023) Electron neutrino excess searches (2022) Pion decay reconstruction (2020) Supernova neutrino detection methods (2021) Comprehensive detector design (2017) Technical contributions include: CRT Veto implementation Waveform visualization tools Software dependency frameworks Argon-39 background analysis

Mario Ohlbergerمشاهده پروفایل

استاد

• Numerical Analysis
• Machine Learning
• Scientific Computing
• +۳ مورد دیگر

Prof. Dr. Mario Ohlberger is a faculty member in the Department of Mathematics and Computer Science at the University of Münster, Germany. As a leading researcher in numerical analysis and scientific computing, he contributes to the Cluster of Excellence 2044 'Mathematics Münster: Dynamics – Geometry – Structure' and the Mathematical Research Data Initiative (MaRDI). His work integrates machine learning with classical numerical methods. University: University of Münster Research Focus: Numerical analysis for PDEs, model reduction, machine learning, multiscale methods Key Projects: EXC 2044 (subprojects C2 and C4), MaRDI His recent publications emphasize adaptive reduced basis methods, multi-fidelity learning, and surrogate modeling for parameterized PDEs, with applications in oil recovery and reactive transport. He has supervised numerous theses and taught courses on numerical analysis, scientific computing, and model reduction. Scientific awards include the Eliteförderprogramm für Postdoktoranden (2002), Ferdinand-von-Lindemann-Preis (2001), and a 1994 teaching award. Current teaching includes lectures on differential equations and seminars on advanced numerical methods.

• Particle Physics
• Experimental Physics
• Neutrino Physics
• +۵ مورد دیگر

Dr. Michal Rigan is a Research Fellow in the Department of Physics and Astronomy at the University of Sussex, within the School of Mathematical and Physical Sciences. His research focuses on experimental particle physics, particularly with the DUNE (Deep Underground Neutrino Experiment) and previously with the SNO+ experiment. Dr. Rigan completed his PhD in Physics at the University of Sussex, where he worked on the SNO+ experiment, focusing on calibration systems and developing a burst trigger system for supernova detection. Before his PhD, he earned an MSci in Particle Physics and Physical Chemistry from University College London, where his master's thesis involved work on the SHiP experiment in collaboration with CERN. His research interests span neutrino physics , supernova detection , liquid argon detector technology , and trigger systems development . Dr. Rigan has made significant contributions to the field through his work on calibration systems, supernova sensitivity analysis, and physics trigger implementation for large-scale particle physics experiments. His recent publications (2023-2025) demonstrate a strong focus on the DUNE experiment, with particular emphasis on neutrino interaction vertex reconstruction using deep learning, supernova pointing capabilities, detector technology development, and data analysis techniques for liquid argon time projection chambers. His work shows a progression from detector calibration and supernova detection in SNO+ to more advanced physics trigger systems and analysis techniques in DUNE. Dr. Rigan has received recognition through citations for his work, with several publications accumulating significant citation counts (up to 25 citations for the DUNE far detector vertical drift technology paper). His research has been highlighted by various platforms including news outlets, social media, and academic readership services. As an educator, Dr. Rigan teaches C++ programming to students in the School of Mathematical and Physical Sciences. His background as a full-stack developer during a gap year before his PhD provides him with practical industry experience that informs his teaching approach. He is actively involved in mentoring and would be an excellent supervisor for students interested in experimental particle physics and computational methods. Dr. Rigan's laboratory work is primarily associated with the DUNE experiment ( https://www.dunescience.org/ ), where he contributes to the development of physics trigger systems and supernova detection capabilities. His work involves close collaboration with international research teams working on this major particle physics project.

• Coastal Engineering
• Geomorphology
• Aeolian Sediment Transport
• +۱ مورد دیگر

Glenn Strypsteen is a Postdoctoral Research Associate at KU Leuven's Hydraulics and Geotechnics unit (Bruges Campus), funded by the Research Foundation - Flanders (FWO). His work focuses on coastal processes with emphasis on aeolian sediment dynamics and dune development along Belgium's urbanized coastline. As holder of a competitive FWO fellowship and recipient of the Brilliant Marine Research Idea 2021 award, he contributes to advancing practical coastal protection strategies through rigorous field and modeling research. Strypsteen's research centers on Coastal Engineering and Geomorphology, specifically investigating how wind-driven sediment transport, vegetation establishment, and beach morphology interact to shape dune systems. His work combines field measurements of natural beaches, numerical modeling (including development of the AeoLiS framework), and experimental analysis to understand dune formation mechanisms. Key interests include fetch-limited transport processes, vegetation-sediment feedbacks, and the long-term evolution of restored dune systems following interventions like beach nourishment and grass planting. Analysis of his 10 publications (2021-2024) reveals a consistent focus on practical coastal management challenges, particularly for Belgium's macro-tidal coast. His work demonstrates strong interdisciplinary collaboration across institutions, with publications spanning Coastal Engineering , Earth Surface Processes and Landforms , and Geomorphology . Recurring themes include quantifying vegetation effects on dune growth, analyzing sand budget dynamics, and developing predictive models for dune evolution under varying environmental conditions. Scientific recognition includes: Brilliant Marine Research Idea 2021 award (as Promotor) Supported by his FWO Postdoctoral Fellowship, Strypsteen operates within KU Leuven's Hydraulics and Geotechnics research ecosystem. While his postdoctoral role doesn't involve primary student supervision, he contributes to the research environment through collaborative projects and publications. His work maintains strong connections with Belgian coastal management authorities, ensuring research addresses real-world protection challenges. As part of KU Leuven's Bruges Campus research team, Strypsteen collaborates within a multidisciplinary group focused on coastal and geotechnical engineering. The unit combines fundamental process studies with applied solutions for coastal resilience, frequently partnering with government agencies and international researchers to develop evidence-based management strategies for sandy shorelines facing climate change pressures.