Find Academic Supervisors

• Numerical Analysis
• Mathematical Modeling
• Thermal Stability
• +3 more

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)
• +5 more

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
• +5 more

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
• +4 more

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 GasperinView profile

Professor

• Radio Astronomy
• Astrophysics
• Galaxy Clusters
• +3 more

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.

Andreas KnechtView profile

Researcher

• Particle Physics
• Muon Spectroscopy
• Nuclear Physics
• +7 more

Andreas Knecht is a Researcher at the Paul Scherrer Institute (PSI) in Switzerland, affiliated with the Laboratory for Particle Physics and the Muon Physics group. His work focuses on muon-induced spectroscopy, nuclear structure analysis, and beamline engineering. His research spans muonic x-ray spectroscopy , charge radius measurements , and high-intensity muon beam optimization . Key methodologies include laser spectroscopy , target fabrication , and non-destructive elemental analysis . He contributes to infrastructure projects like HIMB (High-Intensity Muon Beams) and IMPACT upgrades. Recent publications highlight advancements in two-dimensional muon beam compression , superconducting magnet design , and precision detection systems for experiments like Mu3e and MONUMENT. His work intersects experimental particle physics , atomic physics , and applied material science . At PSI, he collaborates on non-destructive testing applications for cultural heritage (e.g., late antique fibula analysis) and energy storage diagnostics via Muon-Induced X-ray Emission (MIXE). His technical expertise includes molecular plating , SiPM cryogenics , and beam monitoring detectors .

• Computational Fluid Dynamics
• Machine Learning in Fluid Dynamics
• Compressible Flow Modeling
• +3 more

Dr. Deniz Bezgin is a Researcher at the Department of Aerodynamics and Fluid Mechanics of the Technische Universität München (TUM) . Her work focuses on computational fluid dynamics (CFD), machine learning integration in numerical methods, and high-order differentiable solvers for compressible flows. Research specialties include shock-capturing methods, multi-phase flow modeling, and data-driven shape optimization. Developed JAX-Fluids, a fully-differentiable framework for compressible two-phase flows. Key contributions to ENO/WENO schemes and thermodynamically consistent interface models. Current projects explore machine-learned discretizations and GPU-based high-performance computing. Her recent publications address differentiable simulations, data assimilation, and turbulence modeling. She has not received any explicitly listed scientific awards.

Adam G. MarshView profile

Associate Professor

• Epigenetics
• Bioinformatics
• Computational Biology
• +3 more

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.

Sun-Jeong KimView profile

Professor

• Computer Graphics
• Real-time Rendering
• Game Engines
• +3 more

Sun-Jeong Kim is a Professor at the Department of Computer Science within the School of Computer Science at Korea University . Her research focuses on real-time rendering techniques, GPU programming, and game engine optimization. Specializes in procedural modeling and interactive visualization Develops efficient rendering algorithms for virtual reality Active in graphics hardware acceleration and collision detection Her research has produced 15+ publications on topics including tessellation strategies, skeletal animation systems, and particle effect optimizations. While specific awards and students aren't detailed in the current text, her work demonstrates consistent contributions to real-time graphics and game development.

Anders J JohanssonView profile

Senior Lecturer

• Communication Systems
• Telecommunications
• Antenna Engineering
• +5 more

Anders J Johansson is a Senior Lecturer (Docent) in Radiosystems at the Department of Electrical and Information Technology, Lund University. He serves as Director of First and Second Cycle Studies and leads research activities within ELLIIT (Linköping-Lund IT Initiative) and NEXTG2COM (Vinnova Competence Centre). His affiliations include LTH Profile Area: AI and Digitalization, and X-Lab teaching infrastructure. Senior Lecturer in Radiosystems Director of First/Second Cycle Studies ELLIIT Researcher NEXTG2COM Researcher AI & Digitalization Profile Member His research focuses on advanced antenna systems, wireless channel characterization, and 6G testbed standards. Key projects include beam power monitoring at the European Spallation Source and maritime communication reliability studies. He contributes to open data frameworks for next-generation networks. Recent work includes co-authorship on proton beam diagnostics (2024), 6G dataset standards (2023), and maritime channel analysis (2023). Collaborations span European institutions and industry partners in telecommunications and particle physics domains. Current initiatives involve NextG2COM (2024-2028), MARRMOT (2019-2020), and ESS beam control projects. He actively participates in IEEE conferences and contributes to academic governance through LTH's educational leadership roles.

Paul RichmondView profile

Professor

• GPU Computing
• Agent-Based Modelling
• High-Performance Computing
• +5 more

Paul Richmond is a Professor of Research Software Engineering at the University of Sheffield's School of Computer Science. He holds an EPSRC Early Career Research Software Engineering Fellowship focused on accelerating scientific discovery through GPU-accelerated architectures. With a strong interdisciplinary research track record, he develops software solutions for complex systems simulation using high-performance computing architectures. His research spans GPU computing, agent-based modeling, complex systems simulation, and high-performance computing methodologies. Richmond leads the development of FLAME GPU, a framework enabling large-scale agent-based simulations on GPUs, applied to domains including computational biology, transportation systems, and neural simulations. Analysis of his recent publications reveals strong emphasis on GPU-accelerated scientific computing, computational biology applications (particularly oncology and neuroblastoma modeling), transportation simulations, and parallel algorithm development. His work consistently bridges theoretical computer science with practical engineering applications. EPSRC Early Career Research Software Engineering Fellowship Fellow of the Higher Education Academy Richmond has secured substantial research funding including £4.3M as PI/CI over five years. Major grants include leadership roles in PRIMAGE (childhood cancer diagnostics), ExaTEPP (particle physics), and industrial collaborations with Fujitsu, Siemens, and Department for Transport. He founded and led the University of Sheffield's Research Software Engineering group, growing it to 13.5 FTEs supporting £13M in research projects. He established the GPUComputing@Sheffield group, leads the FLAME GPU development team, and served as Engineering Lead for Cambridge's Institute of Computing for Climate Science. Richmond is also former President of the Society for Research Software Engineering.

Shuisheng HeView profile

Professor

• Fluid Mechanics
• Heat Transfer
• Computational Fluid Dynamics
• +4 more

Professor Shuisheng He is Professor of Thermofluids at the School of Mechanical, Aerospace and Civil Engineering, University of Sheffield, where he also serves as Course Director for the Nuclear Engineering Programme. With extensive expertise in fluid mechanics, heat transfer, and computational fluid dynamics, Professor He leads significant research in nuclear reactor thermal hydraulics and turbulence studies. Professor He earned his BSc and MSc in thermal power engineering from Huazhong University of Science and Technology in China, followed by a PhD in Nuclear Engineering from the University of Manchester in 1992. His career includes six years of post-doctoral research at Manchester, over three years at British Energy's reactor thermal hydraulics team, academic positions at Robert Gordon University and University of Aberdeen, before joining the University of Sheffield in 2011 as Chair in Thermofluids. His research focuses on the intersection of computational fluid dynamics and experimental studies, particularly in nuclear reactor thermal hydraulics and fundamental studies of turbulence, transition, and drag reduction. His recent publications reveal a strong emphasis on thermal hydraulics in nuclear applications, particularly sodium-cooled fast reactors and supercritical pressure systems. His work spans fundamental fluid dynamics, heat transfer phenomena, and practical nuclear engineering applications, with a consistent focus on computational modeling approaches including large eddy simulation and direct numerical simulation. Professor He is a Chartered Engineer and Fellow of the Institution of Mechanical Engineers. He leads the Heat, Flow and Turbulence Research Group (HeFT) and has secured numerous research grants, including significant projects with EPSRC, European Commission, and industry partners like EDF Energy. His research has practical applications in nuclear reactor design, safety analysis, and thermal system optimization.

• Atomic Physics
• Molecular Physics
• Nuclear Physics
• +8 more

Masaki Hori is an Associate Professor of Physics at Imperial College London's Faculty of Natural Sciences. He is affiliated with the High Energy Physics Group and the Physics of Particles sub-unit. His research spans experimental physics with a focus on atomic, molecular, nuclear, and particle physics, alongside quantum electronics and industrial applications. Education: PhD and Habilitation in Experimental Physics from Ludwig-Maximilians-Universität München; PhD in Physics from the University of Tokyo. Hori's work integrates laser spectroscopy, synchrotron instrumentation, and quantum metrology, with significant contributions to particle physics and precision measurement. He has held leadership roles at the Max Planck Institute of Quantum Optics and CERN. Scientific Awards: DFG Heisenberg Fellowship JSPS Overseas Research Fellowship JSPS PhD Fellowship Hori has advised research groups at Max Planck Institute and CERN, bridging academia and industry through collaborations in laser manufacturing and electronics development. His career includes tenure as a Senior Lecturer at Imperial College London (2023–2025) and Privatdozent roles in Germany.

Cynthia CattellView profile

Research Professor

• Space Physics
• Plasma Physics
• Solar Wind
• +4 more

Cynthia Cattell is a Research Professor at the School of Physics and Astronomy , University of Minnesota, with affiliations to the Minnesota Institute for Astrophysics , Physics Force Outreach Group , and Space Physics & Plasma Physics group. Her work bridges fundamental plasma processes and space weather phenomena, leveraging satellite data to advance understanding of Earth's magnetosphere and solar wind dynamics. Van Allen belts : Investigating rapid electron energization and loss mechanisms via wave-particle interactions Solar wind shocks : Studying microphysical structure and energy dissipation in collisionless plasmas Auroral acceleration : Analyzing electron/ion dynamics in auroral regions Magnetic reconnection : Probing energy conversion in Earth's magnetosphere Recent publications highlight her focus on ion acoustic waves , whistler wave effects , and radial evolution of solar wind structures , with implications for space plasma turbulence and particle acceleration. Her research has been recognized through the CSE Distinguished Professor award. Projects span 2004–2026, including NASA-funded studies on radiation belts, solar flares, and heliospheric phenomena Collaborates extensively with institutions like the Smithsonian Astrophysical Observatory and University of Maryland She contributes to UN Sustainable Development Goals through astrophysical research and leads major initiatives like the Solar Wind Electron Interaction Study and SoIFER projects.

Jeanne WilsonView profile

Professor

• Particle Physics
• Neutrino Physics
• Neutrino Oscillations
• +3 more

Professor Jeanne Wilson is a Professor of Particle Physics in the Department of Physics at King's College London, where she co-leads the Experimental Particle & Astroparticle Physics (EPAP) group. She serves as Postgraduate Admissions Coordinator and Department EDI Lead. Previously, she held positions at Queen Mary University of London (2010-2019) and the University of Oxford. Education includes an MPhys in Physics and Astronomy from the University of Sheffield and a PhD from the University of Oxford focused on the Sudbury Neutrino Observatory. Her research investigates fundamental neutrino properties through experiments including T2K, Hyper-Kamiokande, and SNO+. Key questions include: CP violation in the lepton sector Majorana nature of neutrinos via double beta decay Absolute neutrino mass scale Solar and reactor neutrino detection Publications demonstrate consistent focus on neutrino oscillations, detection methodologies, and particle interactions. Over 80 articles primarily explore: Neutrino oscillation parameters Cross-section measurements Detector development (liquid scintillators, water Cherenkov) Solar/reactor neutrino physics Awards and Fellowships: PPARC Post-doctoral Fellowship (University of Sussex) Leverhulme Early Career Fellowship (University of Oxford) Leadership roles include analysis coordination for SNO+ and detector design for Hyper-Kamiokande. She leads equality initiatives including interdisciplinary modules addressing gender inequality in STEM education.