جست‌وجوی استاد و پژوهشگر

Jiachen Zhuoمشاهده پروفایل

دانشیار

• Magnetic Resonance Imaging
• MR Pulse Sequences
• Diffusion Kurtosis Imaging
• +۵ مورد دیگر

Dr. Jiachen Zhuo is Associate Professor in the Department of Diagnostic Radiology and Nuclear Medicine at the University of Maryland School of Medicine, where she also serves as Director of Clinical MR Physics and Co-Director of the MR Fellowship. Education: BS, Electronics and Information Science and Technology, Peking University, 2000 MS, Electrical Engineering, University of Pittsburgh, 2002 PhD, Electrical and Computer Engineering, University of Maryland College Park, 2011 Research Interests: Dr. Zhuo’s laboratory focuses on cutting-edge MRI technology development and clinical translation, with emphases on diffusion kurtosis imaging, advanced tongue-muscle imaging, motion-correction strategies, traumatic brain injury biomarkers, and MR-guided focused ultrasound interventions. Her work integrates high-resolution structural and functional imaging with computational modeling to understand neural and muscular mechanisms underlying speech production and neurotrauma. Scientific Awards: Best Paper Award, IEEE Transactions on Visualization and Computer Graphics (2014) Grants & Funding: Dr. Zhuo has served as PI or MPI on grants exceeding $3.7 million from NIH and industry partners, including an R01 investigating tongue and muscle function after cancer surgery using 4D MRI and DTI, and an NINDS-funded longitudinal study of sub-thalamic changes after mild traumatic brain injury. Labs & Teams: She leads the Clinical MR Physics group within the Center for Advanced Imaging Research (CAIR), mentoring trainees and collaborating across radiology, neurosurgery, neurology, and biomedical engineering departments to advance quantitative imaging techniques into clinical practice.

• Medical Imaging
• Nuclear Medicine
• Magnetic Resonance Spectroscopy
• +۲ مورد دیگر

Stefan Posse serves as an Adjunct Professor within the Department of Clinical Medicine at the University of Copenhagen, specializing in Clinical Physiology and Nuclear Medicine. His academic work is centered on innovative imaging techniques in medical diagnostics and research. His research interests encompass a range of critical domains in medical imaging: Medical Imaging Nuclear Medicine Magnetic Resonance Spectroscopy Hyperpolarized Carbon-13 Imaging PET/MR Imaging Analysis of his publication record reveals a consistent focus on methodological standardization and technical innovation in spectroscopy-based imaging. His recent work establishes consensus protocols for diffusion-weighted MR spectroscopy while pioneering symmetric echo-planar frameworks for hyperpolarized carbon-13 applications, directly addressing clinical translation challenges in multimodal scanner environments. No scientific awards were documented in the provided source material. The available information does not specify any student advisees or research grant funding. No specific laboratory infrastructure or dedicated research team structures were detailed beyond departmental affiliations.

• Molecular imaging
• Positron emission tomography (PET)
• Cardiovascular physiology
• +۶ مورد دیگر

Henrik H. El Ali serves as an Associate Professor in the Department of Biomedical Sciences at the University of Copenhagen's Faculty of Health and Medical Sciences. His research is centered at the intersection of molecular imaging and physiological systems, with particular focus on circulation, kidney and lung functions. He maintains an active research profile through the Cluster for Molecular Imaging and Department of Clinical Physiology, Nuclear Medicine and PET. His primary research interests include Molecular Imaging , Positron Emission Tomography (PET) , and Cardiovascular Diseases , with significant contributions to cancer imaging and nuclear medicine applications. His work spans physiological mechanisms in circulation, kidney function, and pulmonary systems, often employing advanced imaging techniques to investigate disease pathways. Analysis of his publication record reveals a strong trend toward translational medical imaging research, particularly in stroke assessment, cancer treatment monitoring, and cardiovascular physiology. His recent work demonstrates increasing integration of machine learning techniques with physiological measurements, as evidenced by his 2025 paper using random forest analysis for lung disease assessment. While specific scientific awards aren't documented in the available materials, his research has garnered significant attention with multiple papers showing substantial Mendeley readership and citation metrics. His work on stroke biomarkers and cancer imaging appears particularly influential within the medical imaging community. Dr. El Ali maintains active research collaborations across multiple institutions, as indicated by his co-authorship patterns and the international scope of his publications. His laboratory work focuses on developing and applying novel imaging techniques to address critical questions in cardiovascular and pulmonary medicine. Current projects appear to emphasize non-invasive monitoring of disease progression and treatment response, particularly in stroke and cancer contexts.

• Medical Physics
• Magnetic Resonance Imaging (MRI)
• Magnetic Resonance Spectroscopy (MRS)
• +۹ مورد دیگر

Itamar Ronen is a Professor and Chair in Medical Physics at the Brighton and Sussex Medical School, University of Sussex. He also serves as the Academic Director of the Clinical Imaging Science Centre (CISC), focusing on clinical neuroscience. Previously, he held positions at Leiden University Medical Center (Netherlands), Boston University School of Medicine, and conducted postdoctoral research at the University of Minnesota. His educational background includes a PhD in Physical Chemistry from Tel Aviv University, where he worked with Prof. Gil Navon on indirect NMR detection of 17-O for metabolic imaging applications. Ronen's research is centered on advancing magnetic resonance spectroscopy and imaging techniques, particularly diffusion-weighted MRS and functional MRS, to study brain cell-specific microstructure and metabolism. He also develops novel methods for ultralow field MRI, with a focus on in vivo lactate detection and quantification of small molecules in aqueous environments. His work bridges physics, neuroscience, and clinical applications in neurodegenerative and psychiatric disorders. His recent publications (2023–2025) demonstrate a strong focus on neuroimaging in conditions such as bipolar disorder, HIV-related depression, Huntington’s disease, Pompe disease, and dementia. He employs ultrahigh (7T) and portable low-field MRI systems, emphasizing methodological innovation and clinical translation. Key themes include metabolite diffusion, neuroinflammation, mitochondrial metabolism, and brain microstructure. Feasibility of obtaining brain structural diagnostic markers in dementia with ultra-low field MRI – Alzheimer’s Research UK (2024–2026) DTI and MRS Correlates of Aging in Monkeys – National Institute on Aging (2007–2009) Effects of Drug Use and Cessation on Monkey Brain – National Institute on Drug Abuse (2002–2005) NMR Imaging and Spectroscopy – National Center for Advancing Translational Sciences (1993–2013) He has contributed to consensus guidelines in diffusion-weighted MRS and developed the course "Imaging in Brain Diseases" (2023). He leads a research team at CISC, focusing on clinical imaging science, and collaborates widely across neuroscience and physics domains.

Jon Bevesمشاهده پروفایل

استاد

• Supramolecular Chemistry
• Coordination Chemistry
• Molecular Sensors
• +۴ مورد دیگر

Professor Jon Beves is a distinguished academic in the School of Chemistry at the University of New South Wales (UNSW), where he was promoted to Professor in 2025. His academic journey began with a BSc (Hons) and MSc from the University of Sydney, followed by a PhD in Basel, Switzerland under Professors Ed Constable and Catherine Housecroft. He completed postdoctoral work at the University of Edinburgh and Nanjing University before joining UNSW in 2013. Professor Beves' research spans supramolecular and applied coordination chemistry, with particular expertise in crystal engineering, molecular sensors, and light-switchable molecular devices and machines. His work demonstrates a consistent focus on creating and controlling molecular systems that respond to external stimuli, particularly light. The trajectory of his research shows an evolution from fundamental coordination chemistry toward increasingly sophisticated molecular machines and responsive materials. Analysis of his recent publications (2022-2025) reveals a strong emphasis on photoswitchable molecular systems, with significant contributions to molecular cages, light-responsive catalysis, and molecular devices controlled by visible light. His work bridges fundamental chemistry with potential applications in materials science, sensing, and nanotechnology. The research consistently employs advanced techniques including NMR spectroscopy, crystallography, and photophysical characterization to understand molecular behavior. ARC Future Fellowship (2017) Professor Beves has established a productive research group that has generated numerous high-impact publications in top chemistry journals. His work often involves interdisciplinary collaborations across chemistry, materials science, and physics. The Beves Group maintains an active research program focused on developing novel molecular systems with controllable properties, particularly those responsive to light stimuli. Current projects appear to focus on molecular machines, photoswitchable catalysts, and light-controlled assembly processes with potential applications in smart materials and nanotechnology.

• Planetary science
• Atmospheric radiative transfer
• Astronomy
• +۷ مورد دیگر

Prof. Dr. Kevin Heng is Chair Professor of Theoretical Astrophysics of Extrasolar Planets at Ludwig Maximilian University of Munich, with additional honorary professorships at University College London and University of Warwick. Previously, he served as Executive Director of the Center for Space and Habitability and Professor of Astronomy & Planetary Science at the University of Bern, Switzerland. Dr. Heng received his Ph.D. in astrophysics from the University of Colorado at Boulder in 2007, following undergraduate studies at the National University of Singapore. His academic path included prestigious positions as Zwicky Prize Fellow at ETH Zurich and Member of the Institute for Advanced Study at Princeton. Professor Heng's research focuses on theoretical astrophysics, particularly exoplanetary atmospheres. His work spans atmospheric radiative transfer, dynamics, and chemistry, with applications to missions like ARIEL, JWST, and next-generation space telescopes. He has developed analytical methods and applied machine learning and Bayesian inference to exoplanet science. His innovative approach extends to 'Geoastronomy,' which unifies principles of astrophysics and geochemistry for studying rocky exoplanets. Dr. Heng's recent publications show a strong trend toward analyzing exoplanet atmospheres using data from cutting-edge missions like JWST, with particular focus on hot Jupiters, super-Earths, and sub-Neptunes. His research often combines theoretical modeling with observational data to understand atmospheric composition, dynamics, and evolution across diverse planetary types. Awards and Recognition: ERC Synergy Grant (2025-2031) for Project GEOASTRONOMY Fellow of the Royal Astronomical Society (2023) ERC Consolidator Grant (2018-2023) for Project EXOKLEIN Chambliss Astronomical Writing Award (2018) for his textbook 'Exoplanetary Atmospheres' NCU-Delta Young Astronomer Lecturership Award (2015) Professor Heng has secured substantial research funding totaling over 3.383 MCHF + 12.06 M€, including leadership roles in major projects like PlanetS NCCR. He serves on science teams for multiple space missions including ARIEL, PLATO, and CHEOPS, and has advised numerous students and postdocs through his research groups focused on exoplanet atmosphere modeling and data analysis. His laboratory develops theoretical models and computational tools for exoplanet characterization, with current work focusing on the 'Hot Rocks Survey' of bare rocky exoplanets and advancing retrieval methods for next-generation telescope data.

• Alzheimer's Disease
• Multiple Sclerosis
• Biomarkers
• +۳ مورد دیگر

Giulia Bivona serves as an Associate Professor at the University of Palermo's School of Medicine and Surgery within the Department of Biopathology and Medical Biotechnology, where she leads the Clinical Biochemistry Section. Her extensive teaching portfolio spans Neuroscience, Medicine and Surgery, Dentistry, and Dietetics programs from 2009-2026, with core responsibilities in Clinical Biochemistry and related disciplines across undergraduate and professional health curricula. Her research centers on neurodegenerative disease biomarkers, particularly Alzheimer's disease subtyping through cerebrospinal fluid proteome profiling and machine learning approaches. She investigates vitamin D's immunomodulatory role in multiple sclerosis pathogenesis, CX3CL1 pathway interactions in neuroinflammation, and monocyte distribution width as a sepsis diagnostic tool. Current work integrates neuroimaging (1H-MRS, fMRI) with immune profiling to decode disease mechanisms in Alzheimer's, multiple sclerosis, and neonatal conditions. Analysis of her 2022-2025 publications reveals three dominant research trajectories: (1) Alzheimer's biomarker discovery using multi-omics and AI-driven classification of disease subtypes, (2) neuroimmunological intersections between vitamin D, Epstein-Barr virus, and autoimmune pathways in multiple sclerosis, and (3) hematological biomarkers (especially MDW) for rapid sepsis detection in emergency settings. Her methodological expertise bridges clinical biochemistry, neuroimaging, and machine learning applications in diagnostic development.

• Magnetic Resonance Imaging (MRI)
• Quantitative Susceptibility Mapping
• Diffusion Tensor Imaging
• +۳ مورد دیگر

Douglas Kelley, PhD holds the title of Research Associate and Adjunct Professor at the University of California, San Francisco (UCSF). His work focuses on advanced MRI techniques, particularly in ultra-high field (7T) imaging, quantitative susceptibility mapping, and diffusion MRI. He has contributed to innovations in RF coil design, image reconstruction algorithms, and applications in neuroimaging, oncology, and musculoskeletal imaging. Key research areas include: Development of high-resolution MRI methods for brain tumor characterization and neurodegenerative diseases Optimization of 7T MRI protocols for phase imaging, T1-weighted imaging, and diffusion tensor imaging Advancements in RF coil architectures and parallel imaging strategies Applications of quantitative susceptibility mapping in clinical diagnostics His publications span over 30 years, with a focus on advancing imaging hardware, software algorithms, and clinical applications of MRI technology. Notable contributions include studies on hippocampal atrophy in Alzheimer's disease, multiple sclerosis lesion characterization, and the use of ultrashort echo time (UTE) and zero echo time (ZTE) imaging. Dr. Kelley has collaborated extensively with researchers in radiology, biomedical engineering, and neurology, contributing to both technical innovations and translational medical research.

Paul M. Maceyمشاهده پروفایل

استاد

• Obstructive Sleep Apnea
• Neuroimaging
• Autonomic Nervous System
• +۹ مورد دیگر

Paul M. Macey is a Professor at the University of California, Los Angeles (UCLA), affiliated with the School of Nursing. His research focuses on the neural mechanisms underlying obstructive sleep apnea (OSA), integrating neuroimaging techniques such as MRI to study brain structure and function. He explores how psychological factors like depression and anxiety, alongside autonomic nervous system dysregulation, contribute to health outcomes in sleep-disordered breathing conditions. Dr. Macey collaborates internationally on brain imaging projects and has extended his work to heart failure and pediatric conditions like Congenital Central Hypoventilation Syndrome (CCHS). His interdisciplinary approach bridges engineering and clinical sciences, emphasizing practical solutions for patient care. Dr. Macey holds a Bachelor of Engineering (Honors) in Electrical Engineering from the University of Canterbury, New Zealand (1991), followed by a PhD in Electrical Engineering from the same institution in 1998. These foundational studies in engineering provide expertise in medical technology and imaging methods. In his research, Dr. Macey investigates the interplay between brain physiology and physical/psychological stressors in OSA patients. Key areas include using MRI to assess brain changes linked to breathing, blood pressure regulation, and mood disorders. He evaluates interventions like CPAP therapy and mindfulness-based practices for their efficacy in symptom management. His work also examines comorbidities such as OSA and diabetes in veterans, the placebo effect in analgesia, and the impact of social media on mental health in older adults. His publications reflect a focus on pain modulation, neuroimaging advancements, and the implications of childhood trauma on adult health. Dr. Macey has contributed to developing novel breathing-assistance devices and imaging techniques, enhancing clinical applications in respiratory and neurological disorders. No scientific awards mentioned in the provided information. In advising and grants, Dr. Macey does not list current advisees but leads collaborative projects funded through interdisciplinary initiatives. These projects address topics such as CPAP efficacy, stress-management interventions, and global health challenges. His research group operates within UCLA’s advanced imaging facilities, employing state-of-the-art MRI technologies to study brain function in real-world settings. Dr. Macey’s lab focuses on cutting-edge neuroimaging applications, including longitudinal studies of migraine pain pathways and pediatric respiratory conditions. He collaborates with teams across UCLA and international universities to tackle complex health issues, ensuring his work remains grounded in clinical relevance and translational outcomes.

Monique Tourellمشاهده پروفایل

پژوهشگر ارشد

• Biomedical Imaging
• MRI Sequence Development
• Molecular Modeling of Water in Tissues
• +۲ مورد دیگر

Dr. Monique Tourell is a Research Fellow at the School of Electrical Engineering and Computer Science, Faculty of Engineering, Architecture and Information Technology, University of Queensland. Her work bridges engineering, physics, and medical applications, with a strong focus on advancing MRI technology for clinical and research use. Dr. Tourell's research interests span three interconnected domains: MRI sequence development - creating pulse sequences and imaging methods for human MRI at 3T and 7T Molecular modeling of water in tissues - developing simulations to understand water motion and its MRI signal implications Micro-MRI of porous media - conducting high-resolution imaging of organic and artificial materials to understand structure-function relationships Her recent publications (2020-2024) demonstrate a strong focus on quantitative susceptibility mapping (QSM) techniques, with significant contributions to high-resolution brain imaging, distortion correction methods, and clinical translation of advanced MRI techniques. These works consistently address challenges in image quality, acquisition speed, and clinical applicability. Dr. Tourell serves as an associate advisor for PhD students working on projects related to QSM validation, MRI quality assurance, and clinical applications of MRI techniques. She is currently leading an ARC Early Career Industry Fellowship project on pulse sequence development for ultra-high field MRI (2025-2028). Her research has practical applications in neurological imaging, breast tissue characterization, and understanding tissue microstructure across various biological systems. Dr. Tourell collaborates extensively with clinicians and researchers across multiple institutions to translate technical MRI advances into clinical practice.

Kevin Chenمشاهده پروفایل

استاد

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

Kevin Chen is a Professor in the Department of Physics & Astronomy at the University of Pittsburgh, with a secondary appointment. His research focuses on advanced neuroimaging techniques, including MRI-based methodologies applied to neurological disorders, cancer, and tissue regeneration. He is affiliated with the Dietrich School and collaborates with the Pittsburgh Institute of Brain Disorders and Recovery. Research Interests Dr. Chen specializes in developing cutting-edge imaging technologies such as fluorine-19 MRI, diffusion MRI, and molecular probes for studying brain connectivity, tumor biology, and neurodegenerative diseases. His work bridges physics, engineering, and medicine, with a focus on translational applications in oncology, neurology, and urology. Key Research Themes Non-invasive imaging of immune cell infiltration in stroke and cancer Mesoscale brain connectivity mapping in human and marmoset models Novel contrast agents for bladder and spinal imaging Theranostic strategies combining imaging and targeted therapy Recent Work Trends Publications from 2023–2025 emphasize MRI innovations for studying Alzheimer’s disease, sickle cell neurocognitive impairment, and vascular dementia. His team also explores spinal cord stimulation for neurological rehabilitation and imaging-based assessment of healthy aging trajectories in non-human primates. Labs & Collaborations Active collaborations include the Alzheimer’s Imaging Consortium and the Pittsburgh Institute of Brain Disorders. His lab develops open-source resources for neuroscientific research and translational imaging tools.

• Heat Transfer
• Gas Radiation
• Radiative Transfer Modeling
• +۵ مورد دیگر

Vladimir Soloviev is an Adjunct Professor of Mathematics at Utah Valley University and an Adjunct Faculty member in Mathematics and Mechanical Engineering at Brigham Young University (BYU), where he has served as a Visiting Professor of Mechanical Engineering since 1999. His academic work spans both applied mathematics and thermal sciences, with a strong focus on modeling and analysis in heat transfer and radiation. His educational background includes a Ph.D. in Mechanical Engineering (1999) and an M.S. in Mechanical Engineering (1995) from Brigham Young University, and an earlier M.S. in Mathematics and Applied Mathematics from Novosibirsk State University, Russia (1977). His research centers on heat transfer, gas radiation, and applied mathematics, particularly the development and application of spectral methods such as SLW (Spectral Line-Based Weighted-Sum-of-Gray-Gases) and CW (Cumulative Wavenumber) for modeling radiative transfer in non-isothermal, non-homogeneous gaseous media. His work has significant applications in combustion systems, industrial furnaces, and solar energy systems. He has published extensively in high-impact journals including the ASME Journal of Heat Transfer and the Journal of Quantitative Spectroscopy and Radiative Transfer . The recent publications reflect a consistent focus on advanced modeling techniques for radiative heat transfer, with particular attention to gas mixtures with soot, high-temperature environments, and industrial applications such as aluminum recycling. The articles demonstrate a strong integration of applied mathematics with engineering physics, often employing analytical methods like Green’s functions and inverse modeling. Key trends include the refinement of global spectral methods, sensitivity analysis, and the extension of models to complex, real-world conditions. Although no formal scientific awards are listed in the provided text, his sustained publication record and collaborative work with prominent researchers like Brent W. Webb indicate recognition within the thermal sciences community. Vladimir Soloviev has advised graduate students through advanced engineering mathematics courses and co-authored lecture notes for graduate-level instruction. His teaching portfolio includes a wide range of mathematics and mechanical engineering courses such as Calculus, Linear Algebra, Advanced Engineering Mathematics, Thermodynamics, and Heat Transfer at both undergraduate and graduate levels. While no specific grants are mentioned, his research output suggests involvement in funded projects, particularly during his time at BYU’s Advanced Combustion Engineering Research Center. His early career as a Scientific Researcher at the Kutateladze Institute of Thermophysics in Russia laid the foundation for his expertise in radiative transfer and thermal modeling. He has contributed to the development of educational materials, including the multi-volume Advanced Applied Engineering Mathematics , used for graduate instruction. His ongoing teaching and research activities indicate active engagement in both academic and applied domains.

• Medical Imaging
• Magnetic Resonance Imaging (MRI)
• Traumatic Brain Injury
• +۷ مورد دیگر

Professor Peter Stanwell is a globally recognized medical imaging research scientist with 25+ years of experience in clinical and research MRI environments. Currently serving as Head of Discipline, Diagnostic Radiography at the University of Newcastle 's School of Health Sciences , his career spans industrial non-destructive testing, clinical MRI development at Johns Hopkins Hospital, and academic leadership at Harvard Medical School. PhD from University of Sydney (Medicine) 2017-2022: Clinical Professor & Research Innovator 2008-2011: Instructor in Radiology, Harvard Medical School Research focuses on mild traumatic brain injury , sport-related concussion , and personalized medical imaging through: Development of diffusion-weighted and dynamic contrast-enhanced MRI techniques Integration of MRI metrics in chemotherapy response prediction Collaborations with Dana-Farber Cancer Institute 3D Tissue Clearing Facility partnerships for cross-modal imaging Retinal biomarker investigations for TBI His 170 publications (h-index:33) appear in NeuroImage , Radiology , and European Radiology . Recent work explores: MRI in chronic neck pain pathophysiology Optical coherence tomography for neurodegeneration screening Collateral circulation assessment in stroke patients Brain connectivity changes in retired athletes Scientific recognition includes: 2022 Senior Fulbright Scholar at University of Illinois 2017 Fulbright at MIT's McGovern Institute 2020 NEWstar Research Leader award 2011 Emerging Research Leader, UON 2008 Clinical Excellence at Brigham and Women's Hospital As educator, he supervises PhD students in medical radiation science and teaches MRI principles across courses (MRSC1150-MRSC4120A). Current collaborations span Harvard Medical School, Florey Institute of Neuroscience, and Australian-American research networks.

• Quantitative MRI
• Neuroimaging
• Multiple Sclerosis
• +۵ مورد دیگر

Professor Mara Cercignani is Professor and Head of MRI within the School of Psychology at Cardiff University . Internationally recognised for developing and applying quantitative MRI techniques, she leads a multidisciplinary programme that links non-invasive microstructural imaging to brain function and pathology, with particular emphasis on Multiple Sclerosis, dementia and depression. Education & Career: Current appointment: Professor and Head of MRI, School of Psychology, Cardiff University. Previous roles and institutional affiliations have included collaborative posts across Europe and the UK, though full biographical dates are not given in the provided text. Research Interests: Prof Cercignani’s work exploits quantitative MRI —diffusion imaging, magnetisation-transfer imaging, and multi-parametric relaxometry—to map tissue microstructure in vivo. She integrates these data with EEG/MEG, TMS and behavioural paradigms to relate anatomy to function. A major strand investigates myelin density and axonal conduction velocity as determinants of cognitive and motor performance in health and disease. She has pioneered the use of VERDICT-MRI and diffusion-weighted MR spectroscopy to probe cellular and vascular micro-environment, and applies these tools to understand neuroinflammation, fatigue, and neurodegeneration. Publication landscape: Over the past five years her output (> 60 papers) has concentrated on three overlapping themes: (i) neuroimmune interactions —how peripheral inflammation and cytokine challenges remodel reward and punishment circuits; (ii) neurodegeneration and glymphatic dysfunction —early microstructural changes in Alzheimer’s disease, MS and ALS detected by diffusion and sodium MRI; and (iii) network-level plasticity —how cognitive reserve, sleep and memory reactivation alter structural connectivity. Scientific Awards & Recognition: Continuous major-project funding from UKRI (MRC, EPSRC), EU-FP7/H2020, Wellcome Trust and industry partners. Invited keynote speaker at International Society for Magnetic Resonance in Medicine (ISMRM) and Organisation for Human Brain Mapping (OHBM). Serves on editorial boards of NeuroImage , Human Brain Mapping and Multiple Sclerosis Journal . Supervision & Team Leadership: Prof Cercignani heads the Cardiff Neuroimaging Group , currently supervising 8 PhD students and 4 post-doctoral researchers working on projects spanning MR physics, computational modelling, and translational neurology. Recent major grants include a Wellcome Trust collaborative award on “Neuroimmune Imaging in Depression” and an MRC programme grant on “Quantitative Imaging of Myelin in MS”. Laboratory & Core Facilities: She directs the Cardiff University Brain Research Imaging Centre (CUBRIC) 3 T MRI Physics programme , managing state-of-the-art Siemens Prisma and Connectom systems, and co-leads the low-field 64 mT UNITY consortium aimed at deploying portable neuroimaging in low- and middle-income settings.

• Microstructure Imaging
• Diffusion MRI
• Computational Modeling
• +۵ مورد دیگر

Dr Marco Palombo is a Senior Lecturer (Associate Professor) in Microstructure Imaging at Cardiff University, jointly appointed between the School of Psychology and the School of Computer Science and Informatics. He serves as Head of Microstructure Imaging at CUBRIC (Cardiff University Brain Research Imaging Centre) and co-leads the MicroTeam group and the Medical Image Computing group. He holds a B.Sc., M.Sc., and Ph.D. in Physics, with research interests spanning biophysical modeling, machine learning, computational modeling, medical imaging, and data analysis. Research Interests: Microstructure imaging of brain tissue Non-invasive histology using diffusion MRI Machine learning for medical imaging Cancer imaging (brain, prostate, endometrial, liver) Neurodevelopment and neurodegeneration Scientific Awards: UKRI Future Leaders Fellowship Funding & Grants: UKRI Future Leaders Fellowship Renewal (2025–2028): ~£700k UKRI MRC (2022–2025): ~£1m UKRI Future Leaders Fellowship (2020–2025): ~£1.3m Cancer Research Wales & Velindre NHS Trust (2024–2027): ~£350k Labs & Teams: MicroTeam group (CUBRIC) Medical Image Computing group (School of Computer Science) IPOCH (Interdisciplinary Precision Oncology Cardiff Hub) IROHMS Working Group on Human-centric AI for Medical Imaging