جست‌وجوی استاد و پژوهشگر

Andreas Penirschkeمشاهده پروفایل

استاد

• Terahertz Technology
• High-Frequency Measurement
• Microwave Sensors
• +۵ مورد دیگر

Prof. Dr.-Ing. Andreas Penirschke is a Professor at Technische Hochschule Mittelhessen (THM) in the Department of Electrical Engineering and Computer Science, where he leads research in high-frequency technology and serves as NAC Study Program Director. His academic appointment includes teaching advanced courses in high-frequency measurement technology, signal processing, and sensor systems, and he actively participates in the Examination Board for Communications Engineering and Computer Networks (Bachelor). Professor Penirschke's research focuses on cutting-edge developments in terahertz technology, microwave sensor systems, and beam diagnostics for particle accelerators. His work spans both theoretical and applied aspects, with significant contributions to high-frequency circuit design, terahertz detectors, and novel sensing techniques for industrial applications including flow measurement and humidity detection. His interdisciplinary approach bridges electrical engineering, physics, and materials science to solve complex measurement challenges in accelerator physics and industrial process monitoring. Analysis of Professor Penirschke's recent publications reveals a strong trend toward ultra-precise measurement systems for particle accelerators and advanced microwave sensor technology. His work on beam diagnostics for X-ray free-electron lasers demonstrates expertise in femtosecond-precision timing systems, while his research on microwave-based sensors shows innovative applications of metamaterials and composite right/left-handed transmission lines for permittivity measurements and flow monitoring. The interdisciplinary nature of his publications reflects collaborations across accelerator physics, semiconductor device engineering, and industrial process control. Professor Penirschke actively supervises multiple PhD and Master's students across several major research projects. His grant portfolio includes significant funding from the German Federal Ministry of Education and Research (BMBF), the Federal Ministry for Economic Affairs and Energy (BMWi), and the European Union's Horizon 2020 program. Current projects include HisTeD (High Speed Room Temperature Terahertz Devices), ULCBAMs (Ultra-Low Charge Bunch Arrival-time Monitors), DFMP (sensor systems for flow and humidity measurement), and DIAGNOSE PASST-THM (beam structure analysis). Professor Penirschke leads the High-frequency technology RF laboratory at THM, where his team develops advanced measurement systems for both academic research and industrial applications. The laboratory serves as a hub for collaborative projects with major research institutions including Technical University of Darmstadt, DESY Hamburg, HZDR Dresden, and KIT. The research environment combines theoretical modeling, circuit design, and experimental validation to push the boundaries of high-frequency measurement technology across multiple application domains.

• Particle Physics
• Neutrino Physics
• High Energy Physics
• +۴ مورد دیگر

Inar Timiryasov is an Assistant Professor in the Experimental Particle Physics group at the Niels Bohr Institute, University of Copenhagen. His research focuses on neutrino physics, heavy neutral leptons, and collider physics, with significant contributions to the SND@LHC experiment at CERN's Large Hadron Collider. Timiryasov's research interests span several critical areas in modern particle physics, including collider neutrino detection, heavy neutral leptons beyond the Standard Model, detector instrumentation for high-energy experiments, and theoretical aspects of Higgs physics and cosmological inflation. His work bridges experimental and theoretical physics with a strong emphasis on developing novel detection techniques for neutrinos produced in collider environments. His recent publications (2024-2025) demonstrate a strong focus on the SND@LHC experiment, with particular attention to neutrino detection without final state muons, muon flux measurements, and detector upgrades including spectrometer-magnet systems and veto planes. His theoretical work explores constraints on heavy neutral leptons and critical points in Palatini Higgs inflation. The research spans both experimental instrumentation development and theoretical particle physics. Timiryasov collaborates extensively within large international collaborations, particularly the SND@LHC and SHiP experiments. His work shows significant contributions to detector development, data analysis, and theoretical constraints on physics beyond the Standard Model. He is actively involved with the SND@LHC collaboration, which has made pioneering measurements of collider neutrinos, and contributes to the development of next-generation detectors for the High-Luminosity LHC era. His research group at the Niels Bohr Institute focuses on advancing neutrino physics at colliders and exploring connections between particle physics and cosmology.

• Dark Matter
• Stellar Streams
• Galactic Dynamics
• +۳ مورد دیگر

Nathaniel Starkman is a Brinson Prize Fellow and Astrophysics Postdoc at MIT. He is a key maintainer for open-source projects including @astropy , @GalacticDynamics , and @cosmology-api , with over 2,500 GitHub contributions in the last year. His work focuses on dark matter detection, stellar stream dynamics, and computational astrophysics using JAX and differentiable simulations. Current affiliations: MIT, GalacticDynamics, cosmology-api Former affiliations: Astropy Project, Quax, Potamides Research interests span dark matter substructure mapping via stellar streams, Hamiltonian perturbation theory applications, and JAX-based galactic dynamics tools. He develops unit-aware numerical frameworks (unxt, coordinax) and contributes to astronomical data infrastructure standards. Scientific contributions include: Leading differentiable simulations for galactic potentials Creating data-driven stellar stream characterization methods Advancing type annotations in astropy Awards: Brinson Prize Fellowship (MIT) Contact: starkman@mit.edu | ORCiD

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.

• Mechanical Engineering
• Industrial Engineering
• Civil Engineering
• +۳ مورد دیگر

RAUL MARTIN GARCIA is a Professor at the University of Cadiz, affiliated with the College of Engineering within the Department of Industrial Engineering and Civil Engineering. His research group TEP976 Structural and Geotechnical Engineering focuses on mechanical and production technologies. PhD in Mechanical Engineering (2005), University of Cadiz Research interests span interdisciplinary domains including Mechanical Engineering , Geotechnical Engineering , and Circular Economy . Recent publications reflect expertise in radiation detection, environmental isotope analysis, and engineering education pedagogy. Articles demonstrate engagement with topics like EU marine policy , dose measurement , and neurological stroke outcomes . His email address is raul.martin@uca.es . No scientific awards or student supervision details are explicitly listed.

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.

Desh Ranjanمشاهده پروفایل

استاد

• Bioinformatics
• Computational Biology
• High Performance Computing
• +۵ مورد دیگر

Desh Ranjan is a Professor at the College of Sciences, Old Dominion University , with a focus on Bioinformatics , High Performance Computing , and Algorithm Design . His work bridges Computational Biology and Parallel Computing . Ph.D., Cornell University (1992) M.S., Cornell University (1990) Other, Indian Institute of Technology Kanpur (1987) His research interests revolve around efficient algorithms for bioinformatics and computational complexity , with applications in protein structure prediction , GPU optimization , and particle accelerator simulations . He has secured over $2 million in federal grants , including a major 2015-2018 $2M award for Hispanic-Serving Institutions . Recent work emphasizes machine learning and real-time simulations in high-fidelity physics and genomic data analysis . 2011: Sage Graduate Fellowship, Cornell University 2011: Outstanding Faculty Member, Iowa State University 2009/2008: NMSU Millionaire Researcher 2006: University Research Council Distinguished Career Award, NMSU 1995: Morrison Award for Best Technical Presentation, Regional ACM Ranjan's publications span 25+ years , with recent trends in GPU-accelerated algorithms , structural biology , and parallel computing . His grants highlight collaborations in bioinformatics , physics simulations , and STEM education projects.

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.

• Concrete Technology
• Cementitious Materials
• Rheology of Cement Pastes
• +۵ مورد دیگر

Rolands Cepuritis is an Associate Professor at the Department of Structural Engineering , Norwegian University of Science and Technology (NTNU) . With over 20 years of international experience in cement production, concrete technology, and academia, his research focuses on sustainable concrete materials and advanced rheological modeling. Research Highlights: Leading MiKS (Microproportioning with Crushed Sand) project to optimize crushed sand in concrete Coordinating COIN (High Quality Manufactured Sand) initiatives Developing the FlowCyl one-parameter rheology test for cement paste Investigating calcium sulfoaluminate binders for carbonation resistance Advancing steel fiber-reinforced concrete for thin overlays Publication Trends: Recent work emphasizes manufactured sand optimization, rheological modeling with neural networks, acid resistance of novel binders, and sustainable tunnel lining solutions via SUPERCON project. Contact: Email: rolands.cepuritis@ntnu.no Office: Materialteknisk, 3-202, Gløshaugen, Richard Birkelands vei 1a, Norway

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