جست‌وجوی استاد و پژوهشگر

Richard Hugtenburgمشاهده پروفایل

دانشیار

• Radiotherapy Physics
• Radiation Dosimetry
• Monte Carlo Modelling
• +۳ مورد دیگر

Richard Hugtenburg is an Associate Professor of Medical Physics at Swansea University and a clinical scientist at Singleton Hospital, Swansea Bay University Health Board. He specializes in radiotherapy physics, radiation dosimetry, and Monte Carlo modelling. Since 2008, he has coordinated the MSc program in Medical Physics. His career began in Christchurch, New Zealand, where he worked as a medical physicist while completing a PhD on Monte Carlo applications in radiotherapy design. He moved to the UK in 1997, practicing radiotherapy physics at Queen Elizabeth Medical Center (Birmingham) and Singleton Hospital (Swansea). Research Interests: Dr. Hugtenburg's research focuses on high-resolution solid-state dosimetry systems for emerging radiotherapy techniques (e.g., IMRT, proton therapy) and Monte Carlo modelling of radiation processes at micron/cellular scales. He also explores MRI-based tissue analysis at sub-mm resolutions. His work bridges computational physics with clinical applications. Articles: His recent publications highlight advancements in dosimetry verification, Monte Carlo simulations for photon and proton therapy, and radiation protection strategies. Key areas include detector technology (MAPS, diamond sensors), beam collimation analysis, and global healthcare access to radiotherapy resources. Labs/Teams: He contributes to the Medical Physics research group at Swansea University Medical School, collaborating on projects involving radiation safety, detector systems, and clinical implementation of new technologies. His work often involves interdisciplinary teams from physics, engineering, and clinical medicine.

• Medical Physics
• Radiation Physics
• Microdosimetry
• +۷ مورد دیگر

Dr Sebastian Galer is an Associate Tutor in the School of Mathematics and Physics at the University of Surrey. His work bridges applied physics and medical physics, with a focus on radiation detection and simulation for particle therapy applications. His research centers on advanced detector systems and computational modeling in radiation physics. Key areas include: Development of superconducting detectors such as SQUIDs and micro-calorimeters Microdosimetry using Tissue Equivalent Proportional Counters (TEPC) Monte Carlo simulation of particle beams using Geant4 Thermal modeling of energy deposition in multi-layer detectors via COMSOL Fabrication of nanobridge Josephson junctions using Focused Ion Beam (FIB) techniques The trend across his recent publications shows a strong emphasis on improving the accuracy of energy deposition measurements in particle therapy, particularly for carbon ions and protons. His work integrates experimental detector design with high-fidelity simulations to correct for real-world thermal and absorption effects, aiming to reduce uncertainties in Relative Biological Effectiveness (RBE) estimates. This interdisciplinary approach combines physics, engineering, and oncology to advance precision in radiation therapy. Dr Galer has collaborated extensively with researchers in medical physics and radiation science, including H. Palmans, Karen Kirkby, and Andrew Nisbet. His projects involve coupling Monte Carlo simulations with finite element thermal analysis to model complex detector behaviors. While no grants are explicitly mentioned, his work appears to be embedded in larger experimental and simulation-based initiatives in particle therapy dosimetry. He is involved in the development and testing of novel microdosimetric detectors, particularly those based on superconducting technologies. These detectors aim to measure energy deposition at the micrometre scale with sensitivities down to 0.4 eV, enabling more precise understanding of biological effects in radiation therapy.

• Numerical Analysis
• Applied Mathematics
• Monte Carlo Methods
• +۳ مورد دیگر

Vince Maes is a Research Fellow at KU Leuven's Numerical Analysis and Applied Mathematics (NUMA) research unit, supported by an FWO (Research Foundation - Flanders) special research associate fellowship. His work centers on computational methods for plasma physics and kinetic theory, with office location at Celestijnenlaan 200a, box 2402, room 02.49 in Leuven. Maes' research spans numerical analysis and applied mathematics, specializing in Monte Carlo particle tracing, statistical error prediction, and kinetic-diffusion algorithms. He develops computational frameworks for plasma edge modeling in fusion devices and dose estimation in radiation therapy, bridging theoretical mathematics with practical applications in energy and healthcare. His methodological innovations address challenges in rarefied gas dynamics and high-collisional regimes. Analysis of his 2023-2025 publications reveals consistent focus on Monte Carlo simulation accuracy, hybrid modeling techniques, and open-science practices. Key themes include statistical error quantification in particle tracing, Markov process applications on grids, and moment model development for plasma edge simulations. Collaborations with KU Leuven researchers dominate his output, particularly with Bossuyt, Vandecasteele, Dekeyser, Koellermeier, Baelmans, and Samaey. Funded through a competitive FWO fellowship, Maes contributes significantly to reproducible research by releasing code repositories alongside publications. While no formal advisees are documented, he actively participates in the NUMA research ecosystem through conference presentations (RGD32, NumKin) and collaborative projects. His work demonstrates strong integration of mathematical theory with plasma physics and medical applications. As part of NUMA at KU Leuven, Maes operates within a specialized computational mathematics team focused on scientific computing for plasma physics and radiation therapy. The group maintains active collaborations with plasma physics laboratories and medical physics departments, developing numerical tools for fusion energy research and cancer treatment optimization through kinetic-diffusion algorithms.

• Solar Energy
• Thermal Energy Storage
• Computational Fluid Dynamics (CFD)
• +۵ مورد دیگر

Prof. Dr. İlker Tari is a Professor of Mechanical Engineering at FMV Işık University (since 2025) and previously at Middle East Technical University (METU) from 1998 to 2022. He leads solar energy research at METU's GUNAM center and contributes to projects like EU Horizon2020. His work bridges computational modeling and experimental validation in thermal systems. Education: Ph.D., Northeastern University (1998), Mechanical Engineering M.Sc., MIT (1994), Nuclear Engineering M.Sc., University of Michigan (1991), Nuclear Engineering B.Sc., Hacettepe University (1987), Nuclear Energy Engineering Research Focus spans solar energy applications, thermal energy storage, radiative transfer modeling, electronics cooling, and fuel cell systems. Recent work emphasizes phase change materials, fluidized bed storage, and machine learning in spectral models. Publications highlight advancements in photovoltaic cooling, solar hybridization for industries, and CFD-based granular flow analysis. Key trends include sustainable energy systems and computational modeling for heat transfer optimization. Projects: EU H2020 INSHIP (2017-2020) TÜBİTAK Solar Dryer (2017-2020) SFERA-III (2019-2023) SolarTwins (2020-2023) ECOSun Solar (2020-2023) InnoSolPower (2021-2024) Academic Leadership includes roles as Secretary-General of the International Centre for Heat and Mass Transfer (2019) and board member at METU's ENDAM center. He has supervised over 30 theses and teaches courses in thermodynamics, heat transfer, and solar energy.

Dirk Reiserمشاهده پروفایل

پژوهشگر

• Plasma Physics
• Numerical Methods
• Plasma Transport
• +۱۰ مورد دیگر

Dr. Dirk Reiser serves as Team Leader for "Theory and Numerical Simulations" at Forschungszentrum Jülich, specifically within the Plasma Physics (IFN-1) group of the Institute of Fusion Energy and Nuclear Waste Management. His research focuses on advancing computational methods for plasma physics and fusion energy applications, with particular emphasis on plasma edge physics and divertor operation in tokamak devices. Dr. Reiser's expertise spans multiple critical areas of computational plasma physics: Numerical Methods and Partial Differential Equations for plasma modeling Plasma Transport and Turbulence analysis using advanced computational techniques Statistical approaches including Bayesian Inference and Monte Carlo Methods Machine learning applications for plasma modeling and data analysis Plasma-material interactions and surface physics His research bridges theoretical plasma physics with practical computational approaches to solve complex fusion energy problems, particularly related to impurity transport, plasma edge physics, and divertor operation. He has made significant contributions to the EMC3-EIRENE simulation framework, which is widely used in the international fusion community for modeling plasma edge and divertor physics. Analysis of his recent publications (2021-2025) reveals a strong focus on applying advanced computational methods to fusion energy challenges, with increasing integration of artificial intelligence techniques alongside traditional physics-based modeling. His work demonstrates consistent contributions to major international fusion projects including ITER, ASDEX Upgrade, and JET, addressing critical challenges in plasma exhaust, impurity control, and plasma-material interactions essential for future fusion reactors. As a team leader at one of Europe's largest research institutions, Dr. Reiser oversees research efforts that contribute significantly to the international fusion energy research community. His work helps advance the physics basis for ITER operation and future fusion power plants, with particular emphasis on solving the complex plasma physics challenges at the boundary between hot plasma and material surfaces.

• Signal Processing
• Medical Imaging
• Telecommunications
• +۵ مورد دیگر

A/Prof Daniel Franklin is an Associate Professor in the School of Electrical and Data Engineering at the University of Technology Sydney (UTS). His roles include Program Coordinator for Postgraduate Telecommunications Engineering and academic leadership in the Faculty of Engineering and Information Technology. He holds a PhD from the University of Wollongong and has over 20 years of experience in academia, previously lecturing at the University of Wollongong before joining UTS in 2011. Franklin's research focuses on signal/image processing, Monte Carlo modeling for radiation engineering, and high-performance networks. His work bridges industrial and medical applications, collaborating with sectors like telecommunications, medical imaging, and radiation therapy. Notable areas include neutron beamline modeling, IoT security frameworks (e.g., PrivySeC), and privacy-preserving computing. He has attracted millions in industry funding for projects such as ASTRID and agricultural IoT systems. Franklin teaches courses in telecommunications, biomedical instrumentation, and programming (e.g., Android development). His service includes organizing IEEE conferences, grant evaluation for the Australian Research Council, and professional membership in the IEEE since 1995. His research outputs span over 100 articles, with recent emphasis on radiation therapy innovations and cybersecurity in IoT ecosystems. Franklin leads interdisciplinary teams, combining hardware design, software development, and clinical applications. His funded research includes projects on precision agriculture sensors, smart urban greening systems, and quality-of-experience metrics for real-time gaming networks.

Xue Yangمشاهده پروفایل

دانشیار

• Nuclear Engineering
• Reactor Physics
• Computational Methods
• +۲ مورد دیگر

Xue Yang is Associate Professor in the Mechanical and Industrial Engineering Department at Texas A&M University-Kingsville's Frank H. Dotterweich College of Engineering. Her research focuses on computational nuclear engineering, including reactor physics simulations, neutron transport modeling, and nuclear materials behavior. Key research areas include: Development of numerical methods for neutron diffusion equations Simulation of plasma-material interactions in fusion environments Analysis of lithium-ion battery thermal management Verification of reactor physics codes against benchmarks Her work employs MATLAB-based tools for PDE solutions, Monte Carlo methods for material behavior prediction, and CFD for thermal-hydraulic analysis. Recent publications demonstrate applications in fusion material science, battery technology, and advanced reactor design.

Matthew Karl Borgمشاهده پروفایل

استاد

• Molecular Thermofluids
• Multiscale Fluid Dynamics
• Micro/Nano-Scale Devices
• +۷ مورد دیگر

Matthew Karl Borg is a Professor of Molecular Thermofluids at the School of Engineering, University of Edinburgh. He holds a BEng (2006) from the University of Malta and a PhD (2010) in Mechanical Engineering from the University of Strathclyde. His research focuses on non-equilibrium fluid flows at micro/nano scales, including applications in water filtration, semiconductor manufacturing, and surface nanobubble technologies. He develops computational tools like dsmcFoam and mdFoam within OpenFOAM, leveraging UK supercomputing resources. Borg has held visiting roles at the University of Malta (2012–2015) and postdoctoral positions at Strathclyde (2010–2015). His work bridges academia and industry, attracting EPSRC grants and collaborations with international institutions. Key projects include multiscale simulation of rarefied gas flows and nanobubble dynamics. Education: BEng Hons Mechanical Engineering, University of Malta (2006) PhD Mechanical Engineering, University of Strathclyde (2010) Research Interests: Multiscale thermofluids, computational particle simulation, and engineering applications of rarefied gas dynamics. His tools are integrated into OpenFOAM and used on HPC facilities like ARCHER2 and Cirrus. Current projects address challenges in nanotechnology, energy, and precision engineering. Grants & Collaborations: Principal Investigator on EPSRC projects including 'PV170 Numerical Models of Hydrogen for Photolithography' (2024) and 'Multiscale Simulation of Rarefied Gas Flow for Engineering Design' (2021–2024). Collaborates with the Institute of Multiscale Thermofluids and global partners. Labs & Teams: Leads the Multiscale Thermofluids Research Group, advancing hybrid simulation methods and nanoscale flow modeling.

Khong Wei Leongمشاهده پروفایل

مدرس

• Biomedical Engineering
• Image and Signal Processing
• Artificial Intelligence
• +۳ مورد دیگر

Dr. Khong Wei Leong is a Lecturer in the Department of Common Engineering at the Malaysia School of Engineering, Monash University Malaysia. He is a registered graduate engineer with the Board of Engineers Malaysia (BEM) and actively involved in research on biomedical imaging, image/video processing, smart healthcare, and non-contact vital signs measurement. His current work focuses on developing non-contact methods for measuring human vital signs, such as heart rate and blood pressure using video imaging and LabVIEW-based tools. Dr. Khong holds a PhD in Electrical & Electronics Engineering (2018), MEng in Modelling and Estimation of Vehicle Tracking (2013), and BEng (Hons) in Computer Engineering (2009), all from Universiti Malaysia Sabah. He coordinates the unit ENG1013: Engineering Smart Systems and serves as a reviewer for the Elsevier journal Biomedical Signal Processing & Control . His research interests span biomedical engineering, artificial intelligence, and telehealth solutions. Notable projects include the 'Catch me before I fail' initiative to improve student academic performance and a LabVIEW-based biomedical toolkit for ECG analysis. His work aligns with UN Sustainable Development Goals, particularly in advancing education and health technologies. Key collaborations include work on robot vision systems, vehicle tracking algorithms, and mobile health applications. Dr. Khong has contributed to over 26 peer-reviewed publications and actively participates in international conferences.

• Cardiac excitation/contraction coupling
• Calcium-induced calcium release
• Calcium channel selectivity
• +۳ مورد دیگر

Dirk Gillespie, PhD, holds the title of The John H. and Margaret V. Krehbiel Professor of Cardiology in the Department of Physiology & Biophysics at Rush University Medical Center. His academic career is centered at Rush Medical College, where he contributes to both research and education. He earned his PhD from Rush University, alongside an MS from Northwestern University and a BA from Johns Hopkins University. His research focuses on calcium signaling in cardiac and skeletal muscle, including calcium-induced calcium release (CICR) mechanisms, ion channel selectivity, and nanofluidic systems. Key areas include modeling cardiac calcium dynamics, understanding ryanodine receptor (RyR) function, and exploring nanoscale ion transport phenomena. Gillespie’s work integrates computational methods like Monte Carlo simulations and density functional theory to study biophysical processes. He leads the Laboratory of Dirk Gillespie, PhD, which investigates CICR in cardiac and skeletal muscle, calcium movement during muscle contraction, and nanofluidic applications such as energy conversion and molecular sensing. His lab develops novel algorithms (e.g., DABOSS, PACO) to model reaction-diffusion systems and ion channel behavior. Education: PhD, Rush University MS, Northwestern University BA, Johns Hopkins University Grants & Awards: Active NIH grants and collaborations in cardiac physiology and nanofluidics (specific awards not explicitly listed). Lab Affiliations: Rush University Department of Physiology & Biophysics Center for Integrated Microbiome and Chronobiology Research (CIMCR) Gillespie’s publications span over two decades, addressing ion channel selectivity, nanofluidic device modeling, and cardiac calcium dynamics. His work bridges theoretical physics and biomedical applications, with implications for understanding heart disease and developing nanotechnology-based sensors.

Mariana Kozlowskaمشاهده پروفایل

پژوهشگر

• Materials Science
• Computational Chemistry
• Biophysics
• +۷ مورد دیگر

Dr. Mariana Kozlowska is a Group Leader and KIT Associate Fellow at the Institute of Nanotechnology, Karlsruhe Institute of Technology (KIT). She leads the DNA Unit of the Virtual Materials Design platform, focusing on multiscale modeling of soft matter and natural materials to understand molecular dynamics, assembly, and interfacial phenomena in chemistry, biology, and physics. Her research integrates density functional theory (DFT) , molecular dynamics simulations , and multiscale modeling to investigate spectroscopic properties, photophysical phenomena in metal-organic frameworks (MOFs) , molecular adsorption, and noncovalent interactions. Current projects include virtual design of chiral alignment materials and photoswitchable MOF conductance, supported by the Carl Zeiss Stiftung and DFG Priority Program. Dr. Kozlowska’s work has been recognized through grants like the Brigitte-Schlieben-Lange-Programm and 3D Matter Made to Order Cluster of Excellence. Her interdisciplinary approach bridges computational modeling with experimental validation, particularly in biomolecular assembly and functional materials design . She has also contributed to science communication via initiatives like Creative Discussions about Science and the ADAMED SmartUP program. Research Focus: Multiscale materials modeling, soft matter assembly, MOF electronic properties Key Collaborations: Prof. Burkhard Luy (Virtmat), Prof. Maria Andrea Mroginski (DAAD grant)

David R. Smithمشاهده پروفایل

استاد

• Metamaterials
• Plasmonics
• Electromagnetic Imaging
• +۶ مورد دیگر

Dr. David R. Smith is the James B. Duke Distinguished Professor of Electrical and Computer Engineering at Duke University's Pratt School of Engineering, with a secondary appointment as Professor of Physics in Trinity College of Arts & Sciences. He serves as Director of the Center for Metamaterials and Integrated Plasmonics at Duke University and holds additional positions as Adjunct Associate Professor at UC San Diego and Visiting Professor at Imperial College London. Dr. Smith received his Ph.D. in Physics from the University of California, San Diego in 1994, following his B.S. degree from the same institution in 1988. His academic credentials have positioned him as a leader in the field of metamaterials research. Dr. Smith's research spans the development and application of metamaterials and plasmonic structures for electromagnetic wave control. His work bridges fundamental physics with practical engineering solutions, particularly in computational imaging using dynamic metasurface apertures. He has pioneered techniques that have revolutionized microwave and millimeter-wave imaging systems, with applications ranging from security screening to nuclear safety. His research also extends to radiation detection, plasma physics for fusion energy, and novel optical devices. Analysis of his recent publications reveals a consistent theme of using metasurface technology to solve challenging problems in electromagnetic wave manipulation, with applications across multiple domains including imaging systems, radiation detection, and wireless communications. His work demonstrates the versatility of metamaterials across different frequency ranges and applications. Fellow of the National Academy of Inventors (2016) Highly Cited Researcher (Thomson Reuters, 2014) Fellow of the Optical Society of America (2013) Top Ten Breakthroughs for 2006 (Science Magazine, for Cloaking) Top 50 Researchers (Scientific American, 2008) Top Ten Breakthroughs for 2003 (Science Magazine, for Negative Index Materials) Top 100 Science Accomplishments for 2006 (Discover Magazine, for Cloaking) Descartes Prize for Research (European Union, 2008) Fellow of the Institute for Electrical and Electronics Engineers (1986) Dr. Smith has secured significant research funding for projects including "Metasurface Antenna for Cloud-Targeting Radar (MACTRad)" (2023-2026), "Metasurface Antennas" (2023-2025), and "Large-scale Adaptive Metamaterial Apertures for Space (LAMAS)" (2023-2024), awarded by MetaCept, Inc., Kymeta Corporation, and NASA. These grants support his innovative work in developing next-generation metamaterial-based technologies. As Director of the Center for Metamaterials and Integrated Plasmonics, Dr. Smith leads a multidisciplinary research team working at the intersection of physics, electrical engineering, and materials science. His laboratory has been instrumental in advancing metamaterials from theoretical concepts to practical applications, particularly in imaging systems and electromagnetic wave control technologies.

Małgorzata Franzمشاهده پروفایل

استادیار

• Positron-molecule scattering
• Organic electronics
• Thin film transistors
• +۵ مورد دیگر

Dr. Małgorzata Franz serves as an Assistant Professor at the Institute of Physics and Applied Computer Science within the Faculty of Applied Physics and Mathematics at Gdańsk University of Technology. Her office is located in Building B, room 519. With over two decades of research experience documented in 25 publications, Dr. Franz has established herself as a prominent researcher in molecular physics and organic electronics. Dr. Franz's research focuses on two primary domains: positron-molecule interactions and organic semiconductor materials . Her work encompasses: Positron and positronium scattering with organic molecules Monte Carlo simulations of particle interactions in biological and organic materials Thin film transistors based on pentacene and tetracene derivatives Photovoltaic properties of organic materials Charge carrier generation, transport, and recombination mechanisms Development of organic-based gas sensors Analysis of Dr. Franz's publication record reveals a clear evolution in her research trajectory. Early in her career (2002-2011), she concentrated on fundamental properties of organic semiconductors, particularly charge carrier behavior in tetracene and pentacene layers. Around 2011-2017, her work expanded to include applications of organic electronics, especially in gas sensing and photovoltaic devices. Since 2017, there has been a pronounced shift toward positron physics, with numerous publications on positron scattering, annihilation, and Monte Carlo simulations of positron interactions with organic molecules. Her most recent work (2023-2025) demonstrates sophisticated computational approaches to modeling positron and positronium behavior in complex materials systems, particularly focusing on benzene and biological materials.

Sebastian Kempfمشاهده پروفایل

استاد

• Cryogenic Detectors
• Nuclear Physics
• Particle Physics
• +۵ مورد دیگر

Prof. Dr. Sebastian Kempf is a Professor at the Department of Micro- and Nanoelectronic Systems (IMS) within the College of Electrical Engineering and Information Technology at the Karlsruhe Institute of Technology (KIT). His research focuses on advanced cryogenic detectors, superconducting devices, and their applications in particle physics and astrophysics. Key projects include the AMoRE (Advanced MoRe) experiment for neutrinoless double beta decay studies, the ECHo experiment for electron neutrino mass measurements, and the development of metallic magnetic calorimeters (MMCs) for high-precision spectroscopy. His work spans detector fabrication, readout electronics optimization, and experimental design for low-background environments. Notable contributions include advancements in MMC-based gamma detectors, SQUID multiplexing for large detector arrays, and superconducting microbolometer technologies for cosmic microwave background (CMB) measurements. Kempf’s research bridges fundamental physics with cutting-edge instrumentation, addressing questions in dark matter, neutrino properties, and quantum metrology. Publications highlight interdisciplinary efforts in detector materials, noise reduction strategies, and applications in metrology (e.g., the MetroBeta project). Despite no listed awards here, his prolific output reflects recognition in the field. He leads the IMS Institute, overseeing a team engaged in FAIR (Facility for Antiproton and Ion Research) collaborations and next-generation detector systems.

Gianfranco Paternoمشاهده پروفایل

استادیار مهمان

• Medical Physics
• Particle Accelerators
• Radiation Detection
• +۵ مورد دیگر

Gianfranco Paterno is a Visiting Assistant Professor at the University of Ferrara, affiliated with the Department of Physics. His research focuses on medical physics, particle accelerators, radiation detection technologies, and wearable medical devices. He teaches Computational Methods for Medical Physics in the Master's program in Physics (LM-17). His work includes advancements in crystal-based detectors, energy-harvesting wearable systems, and radiation source development for medical and high-energy physics applications. Research Highlights: Development of crystal undulators and scintillator-based calorimeters. Pioneering studies on body heat energy harvesting via wearable devices. Simulations and experimental validation of radiation sources and particle interactions. Recent Publications (2022–2025): Focus on detector technology, medical imaging, and accelerator applications, with contributions to journals like Nuclear Instruments and Methods and Applied Sciences .