جست‌وجوی استاد و پژوهشگر

Paul Gibbonمشاهده پروفایل

استاد

• Computational Plasma Physics
• Laser-Plasma Interactions
• Particle Acceleration
• +۵ مورد دیگر

Paul Gibbon is a Professor and current Head of the HPC in Applied Sciences and Engineering division at the Jülich Supercomputing Centre (JSC), Forschungszentrum Jülich. He also maintains a part-time teaching appointment at Katholieke Universiteit Leuven where he teaches computational physics. Having joined JSC in 2001, he helped establish the Simulation Labs for Plasma Physics in 2008 and served as Head of the Computational Science Division from 2009 to 2022. After a brief period working in the fusion energy industry, he returned to JSC in 2024 as co-head of his current division. Gibbon's educational background includes physics studies at Bristol University followed by plasma physics research at Imperial College London. His postdoctoral journey took him across Europe to CEA Saclay and the University of Jena before settling at JSC. His research spans computational plasma physics, laser-based particle and radiation sources, and parallel mesh-free N-body simulation techniques. His publication record demonstrates significant contributions to computational plasma physics, with recent work focusing on N-body simulation methods (particularly the PEPC solver), laser-plasma interactions, particle acceleration mechanisms, and fusion energy applications. His research shows a clear trajectory from fundamental plasma simulation methods toward practical fusion energy applications, with substantial contributions to high-performance computing techniques for scientific simulation. Gibbon has been instrumental in advancing high-performance computing applications for plasma physics and fusion research, with leadership roles in developing simulation capabilities at one of Europe's premier supercomputing centers. His work bridges theoretical plasma physics with practical computing implementations, contributing to both the computational methods community and fusion energy research.

Troels Haugbølleمشاهده پروفایل

دانشیار

• Star Formation
• Planet Formation
• Plasma Physics
• +۵ مورد دیگر

Troels Haugbølle is an Associate Professor in the Astrophysics and Planetary Research group at the Niels Bohr Institute, University of Copenhagen. His work focuses on computational astrophysics related to star and planet formation, with particular expertise in numerical modeling of protostellar systems, disk dynamics, and plasma physics applications in astrophysical contexts. Research Interests: AMR models of star formation Particle-in-cell models Plasma physics Dust dynamics in protostellar environments Astro-chemistry integration in hydrodynamics Forward modeling to link simulations with observations His recent research shows a strong focus on protoplanetary disk formation mechanisms, particularly through Bondi-Hoyle accretion, and the evolution of angular momentum in young stellar systems. He has developed advanced computational methods including GPU-accelerated MHD simulations and Monte Carlo approaches for plasma physics. His work increasingly integrates multi-scale modeling to connect large-scale molecular cloud dynamics with the formation of planetary systems. Professional Activities: Maintains the starformation.hpc.ku.dk research platform Active contributor to major astrophysics journals including Nature Astronomy, Astronomy & Astrophysics, and Monthly Notices of the Royal Astronomical Society Collaborates internationally with researchers across Europe and beyond Dr. Haugbølle's work has been featured in 14 news outlets, blogged about by 2 sources, and shared by multiple social media users, demonstrating the impact of his research on the broader scientific community and public understanding of star and planet formation processes.

• Hydraulic Engineering
• Flood Risk Management
• Hydrology
• +۳ مورد دیگر

Susanna Dazzi is a Fixed-term Researcher at the Department of Engineering and Architecture, University of Parma, Italy. Her work focuses on hydraulic engineering, flood risk management, and computational modeling, leveraging advanced techniques like physics-informed neural networks and GPU acceleration for real-time flood prediction. Key Research Areas: Flood hazard estimation, levee breach dynamics, dam-break scenarios, 2D hydraulic modeling, and sediment transport analysis. Teaching: Delivers courses on Hydraulic Infrastructures and Hydraulic Protection of the Territory for Master's Degree programs in Civil Engineering. Publications: Develops data-driven models (e.g., FloodSformer) for real-time flood forecasting and investigates hydrodynamic interactions with infrastructure. Contact: Email: susanna.dazzi@unipr.it ; Office: Science Area Park, 181/A, 43124 Parma, Italy.

Amit Sawantمشاهده پروفایل

استاد

• Radiation Oncology
• Medical Physics
• Image-Guided Radiotherapy
• +۴ مورد دیگر

Amit Sawant is a Professor and Vice Chair of Medical Physics in the Department of Radiation Oncology at the University of Maryland School of Medicine. His research focuses on advancing image-guided radiotherapy techniques, particularly for stereotactic body radiotherapy (SBRT) and motion management in cancer treatment. His academic background includes: B.E.(Hons.) in Biomedical Engineering from University of Mumbai (1996) M.S. in Biomedical Engineering from University of Tennessee (1999) Ph.D. in Biomedical Engineering from University of Michigan (2006) Dr. Sawant's research centers on two interconnected domains: Small Animal Image-Guided Radiotherapy (SA-IGRT) and Next-Generation Motion Management. In SA-IGRT, he develops orthotopic tumor models for prostate, lung, and pancreatic cancer using the SARRP platform, investigates thermally-modulated radiotherapy to widen therapeutic windows, and creates advanced imaging techniques for mapping post-radiotherapy inflammation. His motion management research addresses 4D anatomical changes through patient-specific volumetric motion modeling, GPU-accelerated particle swarm optimization for 4D treatment planning, and real-time tumor tracking with dynamic multileaf collimators (MLC) that compensate for translation, rotation, and deformation. His publication record (2008-2016) demonstrates consistent innovation in motion-adaptive radiotherapy, with emphasis on lung SBRT. Key themes include 4D treatment planning optimization, real-time MLC tracking systems, motion phantom development, and MRI-based guidance – all converging toward submillimeter targeting accuracy for moving tumors. His scientific recognition includes: John R. Cameron Young Investigator Award (AAPM 2004) ASTRO Basic Science Research Grant Award (2008) Multiple 'Best in Physics' selections at AAPM/ASTRO meetings (2010, 2014, 2015, 2016) ICCR Young Investigator Award (2007) Dr. Sawant has secured over $4.5 million in research funding as Principal Investigator, including two NIH R01 grants on personalized motion management and radiation injury to pulmonary structures. His industry collaborations with VisionRT and Varian Medical Systems have translated theoretical advances into clinical motion management solutions. He leads active research teams developing orthotopic tumor models and implementing 4D radiotherapy workflows for precision cancer treatment.

Tusseau-Nenez Sandrineمشاهده پروفایل

پژوهشگر

• Materials Science
• Solid-state Chemistry
• Thermodynamics
• +۵ مورد دیگر

Sandrine Tusseau-Nenez is a Research Engineer and Head of the X-ray diffraction platform (DIFFRAX) at École Polytechnique's Department of Physics, within the Condensed Matter Physics Laboratory. With a PhD in Chemistry and Physics from the University of Dijon, she has developed extensive expertise in materials characterization, particularly X-ray diffraction techniques for both polycrystalline and thin film materials. Member of the PANalytical Users Club office since 2010 Member of the Reciproqs professional network Member of the French crystallography association Competent person in radiation protection since 2005 Her educational background includes a Professional License in Materials Analysis from Paris-Diderot University and specialized courses at CNAM-entreprises, focusing on metallurgy, metallography, and X-ray diffraction. Her technical expertise spans X-ray diffraction, thermodynamic analyses (ATD-ATG, DSC), material characterizations (SEM-EDX, BET), and phase diagram calculations using the Calphad method. Dr. Tusseau-Nenez's research focuses on applications of powder diffraction techniques for analyzing materials microstructure, with recent expansion into XRD thin film analysis. Her publication record shows consistent output across materials science, nuclear physics, and chemistry, with particular emphasis on uranium carbide targets for radioactive beam production, cement chemistry, and nanomaterials characterization. The analysis of her 15 most recent publications reveals a strong interdisciplinary approach connecting materials characterization with applications in nuclear physics, energy production, and civil engineering. 64 total publications with 874 citations Research spanning nuclear target materials, cement chemistry, and nanomaterials Active collaboration across physics, chemistry, and engineering disciplines As a research supervisor, she has co-supervised multiple PhD theses and numerous internships, demonstrating her commitment to training the next generation of materials scientists. Her leadership of the DIFFRAX platform provides critical characterization capabilities for researchers across École Polytechnique and collaborating institutions.

• Magnetospheric Physics
• Radiation Belt Dynamics
• Ionospheric Physics
• +۴ مورد دیگر

Walther N. Spjeldvik is a prominent researcher in magnetospheric physics with over five decades of contributions to radiation belt dynamics, ionospheric interactions, and energetic particle transport. His work spans institutions including the University of California, Los Angeles; University of Bergen; University of Colorado; and collaborations with NASA's Explorer 45 , ISTP/Polar , and Japanese Ohzora spacecraft teams. Radiation Belt Expertise: Pioneering studies on heavy ion composition, charge state distributions, and storm-time dynamics Space Weather Impacts: Demonstrated connections between magnetospheric disturbances and atmospheric phenomena like lightning and rainfall cycles Antimatter Research: Early investigations into antiproton and positron radiation belts in planetary magnetospheres Publication Trends: Recent decades show increasing focus on Fe ion dynamics (2022), antiproton trapping mechanisms (2018-2008), and space weather-climate connections (2008). Earlier work (1969-1979) established foundational understanding of electron precipitation and magnetospheric ion chemistry . Key Collaborators: Dr. T.A. Fritz (NOAA), Dr. R.M. Thorne (UCLA), and international teams from Soviet/American satellite comparisons (1978) to modern Brazilian cosmic ray monitoring projects (2014).

Michael Schlottke-Lakemperمشاهده پروفایل

استاد

• High-Performance Scientific Computing
• Adaptive Multi-Physics Simulations
• Research Software Engineering
• +۴ مورد دیگر

Dr. Michael Schlottke-Lakemper is a Professor of High-Performance Scientific Computing at the University of Augsburg, Faculty of Mathematics, Natural Sciences, and Materials Engineering. He previously held positions as an Interim Professor of Computational Mathematics at RWTH Aachen University (2022–2024) and led a research group at the High-Performance Computing Center Stuttgart (HLRS) from 2021 to 2024. His career includes postdoctoral roles at the University of Cologne and RWTH Aachen University/FZ Jülich. Education: Ph.D. in Mechanical Engineering, RWTH Aachen University (2017) Diplom in Aerospace Engineering, University of Stuttgart (2011) His research focuses on adaptive multi-physics simulations, research software engineering for high-performance computing (HPC), and scientific machine learning. Applications span fluid mechanics, aeroacoustics, and astrophysics, with recent work emphasizing robust high-order summation-by-parts methods and Julia-based computational frameworks like Trixi.jl and TrixiParticles.jl. His publications highlight advancements in discontinuous Galerkin methods, entropy stable schemes, and HPC optimization for compressible flows. Scientific contributions include Developing dynamic load balancing algorithms for multiphysics simulations Creating hybrid computational aeroacoustics methods Advancing Julia's adoption in HPC communities Improving error-based step size control in numerical solvers Current teaching activities include graduate seminars on Maschinelles Lernen in Theorie und Praxis and undergraduate courses in Numerische Lineare Algebra . He leads a research team at the University of Augsburg with collaborators across Germany, including Simon Candelaresi, Valentin Churavy, and Niklas Neher.

Stephen Gibsonمشاهده پروفایل

استاد

• Accelerator Physics
• Particle Physics
• Beam Instrumentation
• +۵ مورد دیگر

Stephen Gibson is a Professor and Head of Department in the Department of Physics at Royal Holloway, University of London. He serves as Deputy Director of the John Adams Institute for Accelerator Science and leads the Accelerator Group at Royal Holloway. His research focuses on accelerator physics, particularly the development of advanced instrumentation for determining properties of intense hadron beams. He collaborates with CERN Beam Instrumentation on projects for the High Luminosity LHC and has built key instrumentation for CERN's Linac4. Professor Gibson's educational background includes: D.Phil in Experimental Particle Physics from St. John's College, Oxford (2004) MSci Physics from University of Bristol (2000) Professor Gibson's research spans accelerator physics and particle physics instrumentation. His work includes developing Electro-Optic Beam Position Monitors for the High Luminosity LHC, building transverse laserwire emittance scanners for CERN's Linac4, and implementing novel laserwire systems at the Front End Test Stand at RAL. He also studies beam-induced backgrounds affecting the ATLAS experiment. His research has significant implications for advancing particle accelerator technology and improving detector systems for high-energy physics experiments. His recent publications demonstrate a strong focus on accelerator instrumentation, beam diagnostics, and ATLAS experiment support. The research spans computational methods for particle detection, advanced beam monitoring systems, and searches for new physics phenomena. His work bridges theoretical concepts with practical engineering solutions for cutting-edge particle physics experiments. Among his recognitions: Award-winning Outreach Coordinator Professor Gibson has supervised numerous research projects and students, with 8 supervised works documented. He leads significant research grants including the John Adams Institute Core Grant (2025-2028), High Luminosity Large Hadron Collider UK Phase-II project, and the John Adams Institute for Accelerator Science project. His funding comes primarily from the Science & Technology Facilities Council (STFC). He leads the Accelerator Group at Royal Holloway, which collaborates closely with CERN Beam Instrumentation and other international partners. The group focuses on developing next-generation beam instrumentation and addressing challenges in particle accelerator physics.

Pablo Lemosمشاهده پروفایل

پژوهشگر ارشد

• Cosmology
• Machine Learning
• Astrophysics
• +۳ مورد دیگر

Pablo Lemos is a postdoctoral Research Fellow at the Montrel Institute for Learning Algorithms (MILA) and the CIELA institute at the University of Montreal, where he is affiliated with the Department of Physics. He co-leads the accelerated forward modelling group at the Simons Collaboration in Learning the Universe and is a member of the Dark Energy Survey (DES) collaboration. Research Focus Lemos specializes in applying machine learning techniques to astrophysics and cosmology problems. His core research areas include: Graph neural networks for cosmological simulations Symbolic regression methods for data analysis Simulation-based inference techniques Bayesian inverse problem solving Large-scale structure analysis Publication Analysis Lemos's recent publications (2024-2025) demonstrate strong interdisciplinary work combining cosmology, astrophysics, and machine learning. Major themes include cosmological constraints from galaxy clustering and weak lensing, advanced Bayesian inference methods using diffusion models, and applications of neural networks to astrophysical data. Approximately 60% of recent publications focus on machine learning applications in cosmology, while 25% address astrophysical inverse problems, and 15% explore cometary science and planetary physics. Collaborations and Groups Co-leader of accelerated forward modelling group at Simons Collaboration in Learning the Universe Active member of Dark Energy Survey (DES) collaboration

• Numerical Analysis
• Mathematical Modeling
• Thermal Stability
• +۳ مورد دیگر

Richard Baltensperger is a Full Professor at the University of Applied Sciences and Arts Western Switzerland (HES-SO) , affiliated with the Fribourg School of Engineering and Architecture and the HumanTech - Technology for Human Wellbeing Institute . His research spans numerical analysis, thermal kinetics, and ecological network modeling. Key research areas include: Thermal stability prediction using kinetic models Remote teaching methodologies in chemistry IoT-enabled material shelf-life monitoring Optimization of acoustic sensor networks Thermal hazard analysis for reactive chemicals Complex systems in ecology His work on merging DSC and large-scale testing data has improved safety temperature predictions for materials, while recent publications explore AI-driven sensor placement optimization. He employs advanced statistical methods (AIC/BIC) for model selection and has developed applications for smartphone-based deterioration tracking via data loggers. Current research at the HumanTech Institute focuses on technology applications for environmental and materials safety. Publications show collaborations with institutions like the Federal Institute for Materials Research and Testing (BAM) in Germany.

• Quantum Physics
• Nuclear Physics
• Low Energy Nuclear Reactions (LENR)
• +۵ مورد دیگر

Vladimir Vysotskii is a Professor and current Head of the Department of Mathematics and Theoretical Radiophysics at Taras Shevchenko National University of Kyiv, where he has served since 1974. His career progression includes Junior Researcher (1974-1976), Senior Researcher (1976-1979), Associate Professor (1979-1993), Professor (1993-2006), and Leading Researcher (2014-2015), demonstrating five decades of continuous academic service in theoretical physics. Education: 1969: Master degree in Radiophysics, Taras Shevchenko National University of Kyiv 1974: Ph.D., Kyiv Bogolyubov Institute for Theoretical Physics 1992: Dr. Phys.-Math. Sci., Taras Shevchenko National University of Kyiv Research Focus: Vysotskii's pioneering work centers on coherent correlated states in quantum systems, with groundbreaking contributions to Low Energy Nuclear Reactions (LENR). His research bridges nuclear physics and biophysics through investigations into barrier transparency optimization, nuclear reactions in biological systems, and modeling of neuron synchronization mechanisms. Key methodological innovations include three-dimensional correlation techniques for radiation source detection and mathematical models for molecular diffusion in complex solutions. Publication Trends: His 2012-2015 publications reveal a concentrated exploration of correlated state formation to enhance nuclear reaction efficiency at low energies. These works, appearing in high-impact journals like Journal of Experimental and Theoretical Physics (SNIP=2.736), establish theoretical frameworks for LENR applications in environmental remediation, energy production, and biological transmutation. The consistent focus on quantum coherence under damping conditions demonstrates both theoretical rigor and practical interdisciplinary relevance.

• Radiation Dosimetry
• Medical Physics
• Radiotherapy
• +۵ مورد دیگر

Dagmara Kulig, PhD, Eng., serves as a Lecturer at the Department of Particle Interactions and Detection within the Faculty of Physics and Applied Computer Science at AGH University of Science and Technology in Kraków, Poland. Her research focuses on advancing radiation measurement technologies for medical applications, particularly in radiotherapy quality assurance and dosimetry innovation. Her primary research domains include Radiation Dosimetry, Medical Physics, and Radiotherapy, with specialized expertise in Optically Stimulated Luminescence (OSL) and Thermoluminescence (TL) phenomena. Kulig investigates novel luminescent materials—especially LiMgPO 4 -based compounds—and develops 3D-printed scintillators for precise dose measurement. Her work bridges experimental physics with clinical oncology through computational modeling and deep learning applications for treatment planning optimization. Analysis of her 15 most recent publications (2016-2025) reveals a consistent trajectory in radiation monitoring systems, with increasing emphasis on modular detector architectures and AI-driven medical imaging. The Dose-3D project represents a significant computational contribution, while her material science work on LiMgPO 4 dosimeters addresses critical challenges in signal stability and sensitivity. Recent publications demonstrate growing integration of 3D printing and deep learning for personalized radiotherapy solutions. Scientific awards: No awards documented in provided information Advising and grants: No student supervision details available No external funding sources specified Laboratory engagement: Core contributor to Dose-3D project developing Monte Carlo simulation platforms Experimental work on radiation detector systems at Department of Particle Interactions and Detection Material synthesis and characterization for luminescent dosimeters

• Theoretical Physics
• Atomic Physics
• Particle Physics
• +۴ مورد دیگر

Zoran Kaliman is a full-time Professor at the Department of Physics, University of Rijeka. He holds a PhD in Natural Sciences (Physics) from the University of Zagreb and has been active in theoretical physics, nuclear physics, and mathematical physics since the 1970s. Education: PhD in Physics (1998), University of Zagreb; Master in Nuclear and Particle Physics (1986), University of Zagreb; Teaching Degree in Physics and Math (1974), University of Rijeka. Research: Focuses on Compton scattering, double ionization of helium, positronium interactions, geometric theorems, and radiation physics. His work spans theoretical physics, atomic physics, and medical physics applications. Grants: Participated in EU-funded STEM education projects and Croatian national grants on photon-atom interactions and nuclear decay processes. Leadership: Served as Deputy Head (2015–2017) and Head (2002–2008) of the Department of Physics.

Francesco de Gasperinمشاهده پروفایل

استاد

• Radio Astronomy
• Astrophysics
• Galaxy Clusters
• +۳ مورد دیگر

Dr. Francesco de Gasperin is a Professor at the University of Hamburg's Faculty of Mathematics, Informatics and Natural Sciences, specifically affiliated with the Hamburger Sternwarte. He holds a staff scientist position at the Institute of Radioastronomy (IRA-INAF) and serves as a Junior Professor at Hamburg University. His research focuses on ultra-low frequency radio-astronomy ( Education: PhD at Max Planck Institute for Astrophysics (MPIA) on radio-emitting supermassive black holes in the Virgo cluster; Master's work with ESA's Planck satellite on Cosmic Microwave Background studies. Francesco leads LOFAR's low-band antenna calibration efforts for decametre wavelength surveys and received the prestigious ERC Consolidator Grant 'Ultra Low Frequency Universe' (ULU). His work bridges galaxy-scale radio jet physics with large-scale cosmic structure analysis, utilizing multi-frequency observations and cross-disciplinary collaborations with eROSITA and MeerKAT telescopes. Selected Publications (2024-2025) reveal expertise in: Galaxy cluster radio emission (CIZA J2242.8+5301, RX J1347.5–1145) LOFAR deep field surveys (ELAIS-N1, Virgo cluster) Multi-wavelength AGN studies (X-ray-radio disk-jet connections) Cosmic web black hole jet interactions Decametre wavelength calibration techniques Scientific Awards: ERC Consolidator Grant 'Ultra Low Frequency Universe' (ULU) VENI Fellowship (Leiden University, concluded in 2017) He is involved in mentoring collaborations through the LOFAR international telescope network and contributes to advancing radio-astronomy methodologies for cosmic structure mapping.

Adam G. Marshمشاهده پروفایل

دانشیار

• Epigenetics
• Bioinformatics
• Computational Biology
• +۳ مورد دیگر

Adam G. Marsh is an Associate Professor at the School of Marine Science & Policy within the University of Delaware. His academic affiliations also extend to the Bioinformatics and Computational Biology program, reflecting his interdisciplinary expertise. Ph.D., Marine Science, University of Maryland (1989) M.S., Invertebrate Zoology, University of South Florida (1983) B.A., Biology and English Literature, University of South Florida (1981) Dr. Marsh specializes in epigenetics , with a focus on computational and bioinformatic analyses of genomes and DNA methylation to understand disease drivers and stress acclimation. His work spans marine organisms and clinical applications, including ovarian cancer, cerebral palsy, and breast cancer diagnostics. Recent publications highlight his innovative use of machine learning to diagnose complex diseases via DNA methylation patterns, contributions to geometric gauge theory , and marine genomics studies on Antarctic species. His research bridges theoretical physics, computational biology, and ecological systems. NSF CAREER Award (2003) for cold-adaptation genomics in polar marine invertebrates Dr. Marsh co-founded Genome Profiling, LLC (2012-present) and Evozym Biologics, Inc. (2010-present), serving as Chief Science Officer. His work explores the intersection of epigenetics, environmental stress, and technological innovation.