جست‌وجوی استاد و پژوهشگر

• Cardiac Metabolism
• Magnetic Resonance Imaging
• Dynamic Nuclear Polarization
• +۲ مورد دیگر

Damian Tyler is Professor of Physiological Metabolism at the University of Oxford's Department of Physiology, Anatomy and Genetics. He serves as Director of MR Physics at the Oxford Centre for Clinical Magnetic Resonance Research (OCMR) and is a Fellow in Medicine at Somerville College. With over 20 years of experience, he leads the Oxford Metabolic Imaging Group and is an associate member of the Cardiac Metabolism Research Group. His research focuses on: Cardiac metabolism in normal and diseased hearts Development of Magnetic Resonance Imaging/Spectroscopy techniques High-resolution CINE imaging for cardiac function assessment Phosphorus/carbon spectroscopy for metabolic abnormalities Dynamic Nuclear Polarization for enhanced sensitivity in metabolic visualization Publications demonstrate a strong focus on hyperpolarized carbon-13 MRI applications, with recent work expanding into metabolic dysfunction in diabetes, obesity, and long COVID. Trends include therapeutic response monitoring and technical innovations in metabolic imaging. Honors and Awards: British Heart Foundation Intermediate Research Fellowship British Heart Foundation Senior Research Fellowship Research groups include: Oxford Centre for Clinical Magnetic Resonance Research (OCMR) Oxford Metabolic Imaging Group Cardiac Metabolism Research Group

Jean-Paul Boothمشاهده پروفایل

پژوهشگر

• Plasma Physics
• Electrical Discharges in Reactive Gases
• Plasma Diagnostic Techniques
• +۴ مورد دیگر

Jean-Paul Booth is a Research Director (1st class) at the CNRS-affiliated Plasma Physics Laboratory (LPP) within the Polytechnic School (Ecole Polytechnique), Palaiseau, France. His primary affiliation is with the Low Temperature Plasmas Team. He holds a D.Phil. in Physical Chemistry from Oxford University and has held roles including Technical Director at Lam Research Corp (2006-2008) and Research Fellow at the Laboratoire de Spectrométrie Physique, Grenoble. Research Focus: His work centers on plasma physics and chemistry, particularly in reactive gas discharges and plasma-surface interactions. Key areas include novel diagnostic techniques (e.g., laser-induced fluorescence, cavity ring-down spectroscopy), sensor development for industrial processes, and RF plasma physics. He has pioneered studies on oxygen plasma dynamics and plasma breakdown mechanisms. Awards & Leadership: 2023 Nishizawa Prize (Japan) 2019 AVS Plasma Science Division Prize Associate Editor of Plasma Sources, Science and Technology Chair of International Workshop on Oxygen Plasma Kinetics (2016) Recent Contributions: Recent work emphasizes quantitative spectroscopic analysis of oxygen plasmas and experimental validation of plasma models. His research bridges fundamental plasma physics with industrial applications.

James Partridgeمشاهده پروفایل

دانشیار

• Condensed Matter Physics
• Nanotechnology
• Materials Engineering
• +۳ مورد دیگر

Associate Professor James Partridge is affiliated with the School of Science at RMIT University. He focuses on research areas including Condensed Matter Physics, Nanotechnology, Materials Engineering, and related interdisciplinary studies. His work spans electronic device fabrication, material characterization, and quantum technologies. He supervises research projects on topics like nanofluids, topological materials, and advanced microscopy techniques. His email is james.partridge@rmit.edu.au and he holds an ORCID identifier. Research interests emphasize cutting-edge materials science and their applications in electronics, energy, and sensing. Recent publications highlight innovations in gallium oxide semiconductors, van der Waals heterostructures, and neuromorphic computing. His projects often involve collaboration with industry and academic partners, focusing on practical device applications and fundamental material behavior. He is open to supervising PhD and Master’s students in areas such as spin dynamics, magneto-optical studies, and wide-bandgap semiconductor devices. His research has been featured in high-impact journals like Physical Review Letters and Nature Communications.

Irving Bigioمشاهده پروفایل

استاد

• Optical Biopsy
• Biomedical Optics
• Cancer Diagnostics
• +۲ مورد دیگر

Irving Bigio is Affiliate Faculty and Professor of Biomedical Engineering at Boston University, developing optical technologies for minimally-invasive diagnostics and surgery. His research creates tools for cancer detection, neural imaging, and surgical guidance. Research focuses on: Elastic scattering spectroscopy for cancer margin delineation Birefringence microscopy for neural and myelin imaging Optical coherence tomography for brain mapping Real-time intraoperative tissue characterization Recent publications (2025-2012) demonstrate applications in oral cancer surgery guidance, Alzheimer's vascular analysis, skin cancer assessment, and neural activity imaging. Article trends show progressive development of quantitative optical techniques for clinical decision support. Fellowships include OSA, ASLMS, and AIMBE. Received Los Alamos Inventor Awards (1994, 1996, 1999). Authored 'Quantitative Biomedical Optics' textbook.

Katrin Ackermannمشاهده پروفایل

پژوهشگر ارشد

• EPR Spectroscopy
• Biophysics
• Structural Biology
• +۳ مورد دیگر

Katrin Ackermann is a Senior Research Fellow at the University of St Andrews, affiliated with the School of Chemistry and the Institute of Behavioural and Neural Sciences. Her work focuses on EPR (Electron Paramagnetic Resonance) spectroscopy, applied to structural biology and biomolecular interactions. She has contributed to over 50 peer-reviewed publications and leads a research project on Cu(II)-19F distance measurements for structural biology. Her research interests include protein dynamics, membrane channel structure, and metal-binding sites in biomolecules. Notable contributions involve using pulse EPR techniques to study multimeric systems, such as mechanosensitive membrane channels and viral proteins. She collaborates internationally on projects spanning EPR method development and applications in biochemistry. Recent work highlights include characterizing copper-binding sites in human serum albumin and investigating the conformational flexibility of biomolecules using advanced EPR methods. Her research also explores the role of cyclic nucleotides in CRISPR defense mechanisms and the application of machine learning to chronobiological analyses. Ackermann has created over 25 datasets and software tools, including spin-labeling methodologies and protocols for low-concentration EPR studies. She actively engages in grant-funded projects and has supervised collaborations across multiple universities.

Oumeng Zhangمشاهده پروفایل

پژوهشگر ارشد

• Biophotonics
• Computational Microscopy
• Optical Imaging
• +۵ مورد دیگر

Oumeng Zhang serves as a Postdoctoral Scholar Research Associate in Electrical Engineering at the California Institute of Technology, working under Professor Changhuei Yang in the renowned Biophotonics Laboratory. As a Resnick Postdoctoral Scholar, Zhang contributes to cutting-edge research at the intersection of optics, computation, and biomedical applications. Zhang's research interests span multiple advanced imaging domains including biophotonics, computational microscopy, optical imaging, wavefront engineering, Fourier ptychography, non-line-of-sight imaging, and AI applications in medical imaging. The work focuses on developing novel tools that combine optics and microfluidics to tackle diagnostic and measurement problems in biology and medicine, with particular emphasis on pushing the performance of standard microscopes beyond their physical limitations through computational approaches. Analysis of Zhang's recent publications reveals a strong trend toward increasingly sophisticated computational imaging techniques that integrate artificial intelligence with advanced optical methods. The research demonstrates a progression from fundamental optical principles to complex multi-dimensional imaging systems capable of capturing molecular orientation, volumetric structures, and dynamic biological processes with unprecedented resolution. Key thematic areas include polarization imaging, quantitative phase retrieval, neural network-enhanced reconstruction, and multi-view optical systems that achieve isotropic resolution. Resnick Postdoctoral Scholar fellowship Zhang's research is supported through the Resnick Sustainability Institute fellowship and contributes to the broader research portfolio of the Biophotonics Laboratory, which receives funding from multiple federal agencies and private foundations supporting innovative biomedical imaging technologies. The laboratory environment fosters interdisciplinary collaboration between electrical engineers, biologists, and computer scientists working toward transformative diagnostic tools. The research takes place within Caltech's Biophotonics Laboratory, which specializes in developing novel optical tools that combine optics and microfluidics to tackle diagnostic challenges in biology and medicine. Major projects include Fourier Ptychographic microscopy, time-reversal optical focusing, and parallel microscopy systems that transform physical optical problems into computational challenges.

• Medical Imaging
• Biomedical Engineering
• Radiology
• +۳ مورد دیگر

Chao Ma is an Assistant Professor of Radiology & Biomedical Imaging at Yale School of Medicine. He holds affiliations with the Bioimaging Sciences Center, Center for Molecular Imaging Technology and Translation (CMITT), and Yale Biomedical Imaging Institute. His research focuses on advanced imaging techniques including PET/MR integration, MRI reconstruction algorithms, and applications of machine learning in medical imaging. Dr. Ma earned his PhD in Electrical and Computer Engineering from the University of Illinois at Urbana-Champaign (2013). Key research areas include: Development of novel imaging modalities for tumor diagnosis Diffusion models for medical image analysis Manifold learning (LTSA) for accelerated MRI PET motion correction using real-time MR data Quantitative MRI techniques for cardiac and brain imaging Recent work emphasizes: PET/MR fusion for brain tumor characterization Free-breathing cardiac ECV mapping AI-driven signal processing for MRSI data Dr. Ma collaborates extensively with researchers like Georges El Fakhri, Paul Han, and Thibault Marin. His work bridges engineering and clinical applications, advancing diagnostic precision in oncology and cardiology.

• Nuclear Magnetic Resonance (NMR) Spectroscopy
• Quantitative NMR (qNMR)
• Analytical Chemistry
• +۴ مورد دیگر

Dr. Lorraine Bateman is a Lecturer in Pharmaceutical Chemistry and NMR Spectroscopist at University College Cork. She holds a PhD in Chemistry from NUI Galway (2006), specializing in chiral diamide ligand synthesis and asymmetric catalysis. Her research focuses on advanced applications of Nuclear Magnetic Resonance (NMR) Spectroscopy, including quantitative NMR (qNMR), molecular structure determination, and reaction monitoring. She has led grants such as the SFI Advance Award (2014) for qNMR research and contributed to interdisciplinary studies in pharmaceutical, food, and biological sciences. Her teaching spans undergraduate and postgraduate courses in spectroscopy, organic synthesis, and drug design. Education: PhD in Chemistry (NUI Galway, 2006); BSc in Chemistry & Applied Chemistry (NUI Galway). Research emphasizes NMR techniques for small molecule characterization, metabolomics, and dynamic processes. Notable contributions include community-led qNMR calibration systems and flowNMR-based reaction monitoring. She has published widely in journals like Chemical Science and European Journal of Organic Chemistry . Grants & Awards: SFI Advance Award (2014), ENSNARE grant (Science Foundation Ireland, Peer-Reviewed). Teaching roles include module coordination for Research Standard Spectroscopic Methods and lecturing on advanced pharmaceutical chemistry topics. Professional contributions include conference presentations on qNMR applications and participation in global research initiatives. Her work bridges analytical chemistry with pharmaceutical and food science applications.

• Medical Imaging
• Quantitative MRI
• Magnetic Resonance Imaging (MRI) Techniques
• +۵ مورد دیگر

Rudolf Stollberger is a Professor at TU Graz's Institute of Biomedical Imaging. His research focuses on advanced MRI techniques, including CEST-MRI, arterial spin labeling, quantitative MRI parameter quantification, and optimal control-based RF pulse design. He holds academic appointments in medical technology and has expertise in high-field MRI (7T), image reconstruction algorithms, and deep learning applications in medical imaging. Education and affiliations are not explicitly detailed, but his work spans interdisciplinary areas such as neuroimaging, perfusion quantification, and biomedical signal processing. His research portal is accessible via http://www.imt.tugraz.at/ . Key research interests include developing robust RF pulses for inhomogeneous fields, improving CEST MRI contrast via optimal control, and enhancing real-time fMRI neurofeedback systems. He has contributed to model-based reconstructions for IVIM and DTI, as well as automated segmentation methods using deep learning. Notable articles from 2025–2023 highlight innovations in MRI sequence optimization, artifact reduction, and explainable AI for medical imaging datasets. His work addresses challenges in high-resolution ASL perfusion imaging, T1 quantification, and lung vessel morphology analysis.

• Geology
• Hydrology
• Environmental Engineering
• +۵ مورد دیگر

Thomas Brikowski is an Associate Professor of Geosciences at The University of Texas at Dallas (UTD), affiliated with the School of Natural Sciences and Mathematics. He holds a Ph.D. in Geology from the University of Arizona (1987), an M.S. from the University of Oregon (1983), and a B.S. from the California Institute of Technology (1979). His research focuses on quantitative hydrogeology, climate change impacts on water resources, geothermal systems modeling, and medical geology. Key projects include studying groundwater arsenic contamination in South Asia and Nepal, evaluating sustainable water extraction in Kansas, and linking climate variability to kidney stone prevalence. He has advised numerous graduate students and received the 20-Year Service Award from UTD (2017). Research interests span computational hydrology, subsurface fluid dynamics, and geophysical remote sensing. Notable contributions include developing numerical models for geothermal systems and assessing climate-driven water scarcity risks. His work integrates field data with advanced modeling techniques, emphasizing interdisciplinary applications in environmental health and resource management. Publications highlight themes like groundwater-surface water interactions, geothermal reservoir characterization, and the socio-environmental implications of climate change. Recent studies address hydrometeorological dataset integration and Saharan dust’s role in pediatric asthma in the Caribbean. Brikowski’s lab focuses on translating geoscientific insights into actionable solutions for water security and public health challenges.

Yang Zhangمشاهده پروفایل

استاد مدعو

• Biophysics
• Nanotechnology
• Fluorescence Spectroscopy
• +۳ مورد دیگر

Yang Zhang is an Adjunct Professor at Northeastern University's Department of Marine, Earth, and Atmospheric Sciences, part of the College of Sciences. He is affiliated with NC State University (Raleigh, NC) as indicated by his contact address at Jordan Hall. His research focuses on advanced microscopy techniques, fluorescent probe development, and their applications in cellular and biomedical imaging. Key interests include single-molecule localization microscopy (SMLM), spectroscopic imaging, and nanotechnology-driven solutions for biological systems. Research highlights include the design of photoactivatable fluorophores (e.g., BODIPYs), optimization of super-resolution imaging protocols, and the integration of machine learning into microscopy workflows. His work spans disciplines such as biophysics, materials chemistry, and cellular biology, with applications in studying mitochondrial dysfunction, corneal damage, and live-cell dynamics. Recent efforts also emphasize educational initiatives, such as developing STEM curricula that bridge machine learning and chemistry for high-school problem-solving. Publications since 2011 showcase contributions to fluorophore chemistry, imaging instrumentation, and data analysis tools like the RainbowSTORM plugin. While no awards are explicitly listed, his work reflects sustained innovation in imaging technologies. Advising and grant details are not provided here. Yang Zhang’s research lab or team affiliations remain unspecified in the available data.

Katie Mitchell-Kochمشاهده پروفایل

دانشیار

• Computational Chemistry
• Biomolecular Solvation
• Enzyme Dynamics
• +۴ مورد دیگر

Dr. Katie Mitchell-Koch is an Associate Professor of Chemistry at Wichita State University, holding tenure since 2019. She holds a B.S. (2003) and Ph.D. (2008) from the University of Kansas, with a M.S. from the University of Michigan (2005). Her research focuses on computational chemistry, particularly biomolecular solvation, enzyme dynamics in non-aqueous environments, fluorine chemical shifts, and applications in drug design and green chemistry. She received the prestigious Higuchi Doctoral Progress Award during her doctoral studies and has been recognized for research excellence at Wichita State. Her work combines theoretical modeling with experimental insights to understand solvent effects on protein structure, enzymatic catalysis mechanisms, and fluorine NMR spectroscopy. Collaborative projects include drug development strategies and sustainable chemical processes leveraging novel solvents like ionic liquids and deep eutectic systems. Key research themes include: (1) hydration layer dynamics and their impact on protein function, (2) fluorine-based chemical shift analysis for structural determination, and (3) biocatalytic reactions in non-traditional solvents. Her recent publications (2021-2025) explore enzyme adaptation to solvents, micellar systems, and hydrogen bond characterization in amino acids. Awards: Higuchi Doctoral Progress Award (2008) Collaborations: Cross-disciplinary teams in medicinal chemistry, materials science, and bioinorganic chemistry Lab Focus: Computational modeling (DFT, MD simulations) and spectroscopic analysis Her teaching and mentoring emphasize computational methods training for graduate students, though specific advisee names are not documented here.

• Nanoparticles Engineering
• Emission Dynamics
• Upconversion Nanoparticles
• +۶ مورد دیگر

Ali Eftekhari is a Postdoctoral Researcher in Materials Science and Environmental Engineering , focusing on advanced nanomaterials and their applications in biomedical and environmental contexts. His work contributes to UN Sustainable Development Goals related to affordable and clean energy, good health, and sustainable cities. Research Interests: Nanoparticle engineering, emission dynamics, upconversion nanoparticles, rate equation analysis, gene delivery systems, and sustainable materials from food waste. His interdisciplinary approach bridges materials science, photonics, and biomedicine. Publications highlight innovations in nanoparticle synthesis, optical properties, and applications in healthcare. Recent studies include using insect-based spinach waste for cancer gene targeting and developing sub-3 nm upconversion nanoparticles for luminescence control. His work often explores energy transfer mechanisms and biomedical applications. Collaborations span international institutions, emphasizing nanoparticle design and environmental sustainability. No awards were explicitly mentioned, but his research has garnered attention in journals like Advanced Optical Materials and Scientific Reports .

• Cardiovascular Imaging
• Medical Image Processing
• Coronary Artery Disease
• +۳ مورد دیگر

Shengnan Liu is a Researcher at Erasmus MC, University Medical Center Rotterdam, affiliated with Erasmus University Rotterdam. Her work centers on advanced cardiovascular imaging techniques for coronary artery disease diagnosis and treatment assessment. Her research emphasizes Cardiovascular Imaging and Medical Image Processing , with specialized expertise in Intravascular Ultrasound (IVUS) and Optical Coherence Tomography (OCT) . Key contributions include developing automated systems for coronary calcification quantification, stent expansion analysis in calcified lesions, and spectroscopic lipid detection—bridging engineering innovations with clinical cardiology applications. Recent publications reveal a clear trajectory toward AI-driven automation in intravascular imaging, focusing on quantitative accuracy and prognostic validation. Her work spans from fundamental spectroscopic OCT development to clinical validation of automated calcium scoring systems, demonstrating consistent integration of image processing with cardiovascular outcomes research.

• Ultrasound Characterization and Imaging
• Medical Devices
• Computer Modelling and Simulation
• +۵ مورد دیگر

Christian Langton is an Adjunct Professor at the School of Biomedical Sciences, Faculty of Health at Queensland University of Technology (QUT). His academic career includes roles such as Assistant Dean (Research) in the Science & Engineering Faculty and Head of Physics at QUT. He holds a PhD and DSc in Medical Physics from the University of Hull. His research focuses on ultrasound imaging, bone characterization, and medical device innovation, with significant contributions to osteoporosis assessment via broadband ultrasonic attenuation (BUA). Key areas include Quantitative Ultrasound Imaging, Robotic Intervention for Radiation Therapy, and 3D Imaging systems. Langton’s research has been recognized through awards including the EurekaUK 2006 award and a DSc (2007) for contributions to medical physics. He has pioneered techniques like Ultrasound Transit Time Spectroscopy (UTTS) and developed systems for tumor tracking during radiotherapy. His work spans applications in healthcare, including pediatric skeletal assessments and tropical healthcare smartphone scanners. Publications highlight advancements in ultrasound signal processing, robotic interventions, and biomedical engineering. Awards include Fellow of the Australian Institute of Physics and Honorary Research Doctorate (2016). His interdisciplinary approach bridges engineering, physics, and clinical medicine, with ongoing projects in phase interference compensation and therapeutic ultrasound applications.