جستجوی استاد راهنمای دانشگاهی

Cornelius Faber is a University Professor in the Department of Radiology at the University of Münster, Germany, where he leads the Experimental Nuclear Magnetic Resonance research group. His work focuses on developing and implementing novel MRI techniques that extend the boundaries of magnetic resonance imaging in terms of spatial and temporal resolution, sensitivity, and specificity for physiological, structural, and molecular changes. He actively participates in the "Cells in Motion" interdisciplinary research initiative at the university. Professor Faber's research spans multiple critical areas in medical imaging and biomedical science. His primary expertise lies in MRI cell tracking , enabling visualization of cellular dynamics in vivo. He has made significant contributions to infection imaging , developing methods to detect and characterize microbial infections using MRI. His work on MR methodology development has advanced quantitative imaging techniques, while his research on multimodal integration in MR and MRI contrast mechanisms has provided deeper insights into molecular and cellular processes. His research bridges physics, engineering, and biomedical applications, with particular relevance to inflammation, cancer, neurological disorders, and cardiovascular disease. Analysis of Professor Faber's extensive publication record reveals a clear evolution from fundamental MRI technique development toward increasingly sophisticated applications in disease models. His recent work demonstrates a strong trend toward multimodal imaging approaches that combine MRI with complementary techniques such as mass spectrometry, optical imaging, and PET. This integration creates comprehensive diagnostic platforms that provide both anatomical and molecular information. A notable pattern is the focus on cellular dynamics, particularly immune cell behavior in inflammatory conditions and tumor microenvironments, with applications spanning neuroscience, oncology, and cardiology. Professor Faber leads a multidisciplinary research team of approximately 15 members, including scientists, doctoral students, technicians, and medical students. His laboratory is deeply integrated with the University of Münster's research infrastructure, particularly the Multiscale Imaging Centre. The group's work contributes significantly to advancing preclinical MRI methodologies while maintaining strong clinical relevance, with numerous publications in high-impact journals across medical imaging, neuroscience, and biomedical engineering disciplines.

• MRI cell tracking
• infection imaging
• MR methodology
• +۶ مورد دیگر

Sabrina Pitzalis is an Associate Professor at the University of Rome 'Foro Italico', Department of Human Motor Sciences and Health. She serves as Delegate for Gender Budget and Head of the SACS (Student Counselling and Help Desk). Her research focuses on cognitive neuroscience, functional neuroimaging, and brain mapping, with specializations in neural mechanisms of perception, sensorimotor functions, and brain plasticity induced by motor activity. She leads projects like the 2019 study on neuromuscular electrical stimulation effects. Her work integrates neuroimaging techniques to explore topics such as anticipatory brain activity and motion perception. Pitzalis teaches courses in sport psychology, neuroscience, and pedagogy, emphasizing the interplay between cognitive and motor systems. Her research highlights neural adaptations to sensory and motor interventions, including multifocal contact lenses and exoskeleton-assisted rehabilitation. Research Themes: Neural basis of perceptual and sensorimotor functions Brain plasticity and motor learning Anticipatory neural processing during action preparation Integration of visual and motor signals in spatial navigation Recent Contributions: Her articles (2022–2025) reveal insights into how brain circuits process self-motion, adapt to sensory interventions, and modulate during complex cognitive-motor tasks. These studies use advanced neuroimaging and electrophysiological methods to map functional brain dynamics. Ongoing work explores neurocognitive trade-offs in dual-task scenarios and the role of parietal cortex in visuomotor integration. Teaching and Leadership: Pitzalis contributes to degree programs in Sports Sciences (L22), Preventive Motor Activities (LM67), and Sports Technology (LM68). She promotes interdisciplinary approaches, combining neuroscience with sport pedagogy. Her leadership roles emphasize institutional quality assurance and student support initiatives. Labs/Teams: Collaborates within university labs specializing in motor neuroscience and neuroimaging, contributing to projects on neural adaptation mechanisms and clinical applications in rehabilitation.

• Cognitive Neuroscience
• Functional Neuroimaging
• Brain Mapping
• +۳ مورد دیگر

Marco Pizzolato is an Associate Professor in the Department of Applied Mathematics and Computer Science at the Technical University of Denmark (DTU), specializing in Visual Computing with a focus on Magnetic Resonance Imaging (MRI), particularly diffusion MRI and biophysical modeling. He is also affiliated with the inter-departmental Microstructure & Plasticity (MAP) research group and has held visiting positions at the University of Verona, EPFL, and DRCMR. His educational background includes a PhD in Signal and Image Processing from INRIA Sophia Antipolis, a Master’s in Bioengineering from the University of Padua, and a Bachelor’s in Biomedical Engineering from the same institution. He previously served as an Assistant Professor at DTU and was a postdoctoral researcher under the Marie Curie COFUND Eurotech programme. Dr. Pizzolato's research centers on image and signal denoising, inverse problems, optimization, diffusion MRI, tractography, and Monte Carlo simulations. He actively contributes to the development of microstructural models for brain imaging, with applications in neurodegenerative diseases and brain connectivity. His work aligns with UN Sustainable Development Goals, particularly in advancing education and health through imaging technology. The recent publications reflect a strong trend in advancing diffusion MRI techniques, including ACID imaging, microscopic propagator modeling, myelin integrity mapping, and multi-scale white matter organization. These works emphasize biophysical accuracy, model validation, and integration across imaging modalities and species. Magna Cum Laude , ISMRM 2020 Magna Cum Laude , ISMRM 2022 First Place , Macaque Validation Challenge at ISBI 2018 First Place (Overall and HCP) , IronTrack Challenge 2019 (MICCAI) MICCAI Student Travel Award 2015 He has supervised PhD students such as Thøgersen, T. L. and Corral Bolaños, M. in projects related to microstructure MR imaging and myelin mapping. He has also been involved in significant grants and collaborative projects, including the Multimodal Microstructure-Informed Connectivity (MMINCARAV) initiative between Inria and EPFL, and the Sinergia consortium for Brain Communication Pathways . He co-organized multiple international events, including the MICCAI CDMRI workshops and challenges (2019–2021), and the ESMRMB Leaps in Microstructure Imaging workshop (2024). Dr. Pizzolato is an active member of the scientific community, serving as an editor for MICCAI workshop proceedings, a reviewer for major journals and conferences, and an invited speaker at ISMRM 2025. He leads and participates in several ongoing research projects at DTU focused on quantitative imaging, myelin mapping, and MRI-based connectivity, demonstrating sustained research leadership and external funding success.

• Magnetic Resonance Imaging (MRI)
• Diffusion MRI
• Image and Signal Denoising
• +۱۰ مورد دیگر

Oliver Wieben is a Professor in the Departments of Medical Physics and Radiology at the University of Wisconsin-Madison. He serves as Vice Chair for Research and Co-Director of the International Center for Accelerated Medical Imaging (2013-2019). B.S., Electrical Engineering, Leibniz Universität Hannover Dipl.-Ing., Electrical Engineering, Karlsruhe Institute of Technology Ph.D., Electrical Engineering, University of Wisconsin-Madison His research focuses on MRI methodology development , particularly in cardio/cerebrovascular imaging , 4D Flow MRI , and placental oxygenation assessment . He has pioneered techniques for real-time imaging , velocity-sensitive MRI , and motion correction schemes in MR imaging. His recent publications (2022-2025) demonstrate expertise in computational fluid dynamics , automated post-processing , and exercise MRI . Notable collaborations include work on Zika virus effects in placenta and 4D Flow applications in Alzheimer's research . Scientific Achievements: Distinguished Investigator Award (2022) Fellow of SCMR (2018) Lauterbur Award for Best MRI Presentation (2009) ISMRM Outstanding Teacher Awards (2014) Multiple patents in MRI reconstruction techniques He has led international workshops on 4D Flow MRI , served on peer review panels for the American Heart Association , and contributed to 4D Flow consensus guidelines . His work bridges technical MRI innovation with clinical translational research in cardiology, pulmonology, and maternal-fetal medicine.

• MRI Methodology
• Cardiovascular Imaging
• Cerebrovascular Imaging
• +۷ مورد دیگر

Bas Rokers is Professor of Psychology and Global Network Professor at New York University Abu Dhabi (NYUAD), where he also serves as Director of the Center for Brain and Health. He leads the Rokers Vision Laboratory, which investigates the neural basis of visual perception, particularly motion and depth processing. His interdisciplinary work integrates behavioral experiments, neuroimaging (e.g., fMRI, dMRI), and computational modeling. BA, Utrecht University MA, Rutgers University PhD, University of California, Los Angeles Dr. Rokers’ research centers on how the brain constructs 3D visual experience from 2D retinal inputs. His lab explores motion perception , depth perception , and binocular integration , with applications in understanding amblyopia , cybersickness , and virtual reality . His team uses neuroimaging , behavioral testing , and AI-driven data analysis to decode visual processing mechanisms. His recent publications reveal trends in 3D motion perception , sensory cue integration , and neural correlates of visual disorders . Studies often employ Bayesian models , fMRI , and psychophysics to explain perceptual biases and clinical conditions. His work bridges basic science with technological innovation in VR/AR systems. Dr. Rokers has contributed to science outreach through the Wisconsin Virtual Brain Project and the National Geographic series Brain Games . He has held visiting positions at MIT, Utrecht University, and NYU. Research Scientist, Max Planck Institute (collaborator) Contributor, National Geographic’s Brain Games Visiting positions at MIT, Utrecht University He mentors students through capstone projects in Psychology, Biology, and Computer Science at NYUAD. His lab includes postdoctoral associates, graduate students, and research scientists working on MRI data pipelines and AI applications in neuroimaging. The Rokers Vision Laboratory is a hub for interdisciplinary research in visual neuroscience, combining experimental and computational approaches to understand perception in health and disease.

• Visual Perception
• Motion Processing
• Depth Perception
• +۷ مورد دیگر

Dr. Ralf Metzner serves as Deputy Head of Enabling Technologies and Team Leader of Plant Radiotracers at the Institute of Bio- and Geosciences (IBG-2: Plant Sciences), Jülich Research Centre. His leadership focuses on developing non-invasive imaging methodologies to study plant transport processes, with direct applications in sustainable agriculture and bioeconomy initiatives. Metzner's research centers on plant transport physiology, particularly the demand-driven allocation of photoassimilates between photosynthetic and non-photosynthetic organs. He pioneers the use of short-lived radiotracers (primarily carbon-11) coupled with Positron Emission Tomography (PET) and Magnetic Resonance Imaging (MRI) to visualize three-dimensional carbon dynamics in living plants. This approach overcomes traditional limitations in studying phloem transport, enabling real-time observation of carbon flow under various environmental stresses including drought and disease. Analysis of his recent publications (2022-2025) reveals three dominant research trajectories: development of the phenoPET plant-dedicated scanner system, investigation of carbon allocation patterns in response to biotic/abiotic stresses, and exploration of plant-microbe interactions in the rhizosphere. His work consistently bridges plant physiology, imaging technology, and agricultural science to address climate adaptation challenges. Metzner leads the Plant Radiotracers team that operates specialized imaging infrastructure including the phenoPET scanner and integrated MRI-PET systems. This facility enables non-invasive 3D analysis of root systems in soil environments, supporting Jülich Research Centre's mission to develop sustainable plant production solutions through advanced phenotyping technologies.

• Plant Transport Physiology
• Radiotracer Imaging
• Positron Emission Tomography
• +۵ مورد دیگر

Marina Bloj is a Professor of Health Research at the University of Bradford's Faculty of Health Studies. Her research focuses on understanding human visual perception, particularly how eyes and the brain collaborate to process visual information. Her work integrates physics principles with experimental techniques like eye-tracking and reaction-time measurements to explore topics such as color constancy, binocular motion-in-depth perception, and visual memory. Current projects include collaborations with Professors Julie Harris (University of St Andrews) and Alex Wade (University of York) on neural processing of binocular motion, and work with Prof Karl Gegenfurtner in Germany on color memory of real objects. She has secured sustained EPSRC funding through interdisciplinary collaborations and leads projects addressing applied vision challenges. Her lab develops computational models of vision that predict human performance in tasks like camouflage detection and object recognition. Research interests span fundamental visual processes (e.g., light interaction with surfaces, depth perception) and applied areas such as clinical vision screening and public health interventions. She investigates how visual abilities develop over time, including aging effects and literacy impacts of vision correction. Her interdisciplinary approach bridges physics, neuroscience, and computer science, with outputs ranging from fMRI studies to psychophysical experiments. Notable collaborations include EPSRC-funded projects on lightness constancy and BBSRC-supported work on binocular motion pathways. Her work emphasizes real-world relevance, linking laboratory findings to everyday visual tasks such as driving, reading, and object recognition in dynamic environments. She actively publishes in high-impact vision science journals and mentors early-career researchers in her field.

• Vision Science
• Visual Perception
• Color Constancy
• +۳ مورد دیگر

Professor Markus Barth is a Full Professor in Biomedical Engineering at the University of Queensland (UQ), specializing in MRI physics and medical imaging. He holds roles as Deputy Head of School (Research) in the Faculty of Engineering, Architecture and Information Technology, Director of the National Imaging Facility – Queensland Node, and member of the ARC College of Experts. His academic journey includes a Doctorate in Technical Physics from Vienna University of Technology (1999) and prior appointments at the Medical University Vienna, Donders Institute, and Erwin L. Hahn Institute. His research focuses on advancing MRI techniques for high-resolution anatomical and functional imaging, including susceptibility-weighted imaging (SWI), quantitative susceptibility mapping (QSM), and ultra-high field MRI applications. He has pioneered methods to enhance MRI sensitivity for neurodegenerative diseases, cancer, and cognitive neuroscience studies. Barth’s work integrates cutting-edge technologies like deep learning and parallel transmission to improve image quality and clinical utility. His contributions include developing open-source tools (e.g., QSMxT) and large-scale datasets (e.g., HumanBrainAtlas) for reproducible neuroimaging research. Education: Bachelor of Technical Physics, Vienna University of Technology (1995) Doctorate in Technical Physics, Vienna University of Technology (1999) Research Interests: Optimizing MRI for ultra-high field applications, neuroimaging of brain function and connectivity, SWI/QSM for disease markers, and translational imaging techniques for clinical diagnostics. His work addresses topics like layer-specific fMRI, brain-computer interfaces, and decoding neural activity. Grants & Awards: ARC Future Fellowship (2014), leadership in national imaging initiatives, and contributions to MRI software frameworks. Labs/Teams: Leads the Ultra-high Field Human MR Research program at UQ’s Centre for Advanced Imaging and collaborates with interdisciplinary teams in biomedical engineering and neurology. His lab develops novel MRI protocols and open-source tools for global research impact.

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

Dr. Krishna S. Nayak serves as Dean's Professor of Electrical and Computer Engineering at the University of Southern California's Viterbi School of Engineering. He directs the Signal and Image Processing Institute, Dynamic Imaging Science Center, and Magnetic Resonance Engineering Laboratory (MREL), leading interdisciplinary collaborations with radiologists, cardiologists, pulmonologists, and obesity researchers. His educational background includes a PhD (2001) and MS (1996) in Electrical Engineering from Stanford University, and BS degrees in Electrical Engineering, Computer Science, and Applied Mathematics from Florida State University (1995). Nayak's research pioneers MRI technology development with core expertise in pulse sequence design, real-time imaging, and quantitative reconstruction. His lab focuses on translating innovations to clinical applications for cardiovascular disease, obesity, and speech production through low-field systems, compressed sensing, and machine learning techniques. Current projects target high-performance imaging for coronary disease, cancer biomarkers, and vocal tract dynamics. His publication portfolio shows consistent advancement in MRI methodology, with recent work emphasizing low-field systems (0.55T), real-time speech imaging, and artifact correction. Key trends include clinical translation of quantitative biomarkers and hardware-software co-design for specialized applications. Jan 2022, Fellow, IEEE Apr 2020, USC Viterbi Use-Inspired Research Award May 2019, ISMRM Board of Trustees Apr 2018, Fellow, SCMR Apr 2017, Fellow, AIMBE Apr 2009, GE Healthcare Thought Leader Award His research program receives sustained funding from NIH, NSF, American Heart Association, and Coulter Foundation, supporting mentorship of graduate students and postdocs. As evidenced by his USC-Mellon Mentoring Award, he maintains strong commitment to training next-generation engineers through the MREL's collaborative environment. The Magnetic Resonance Engineering Laboratory operates as a multidisciplinary hub developing state-of-the-art imaging solutions, with active projects spanning hardware configurations, real-time cardiac imaging, and quantitative pulmonary assessment through close clinical partnerships.

• Magnetic Resonance Imaging
• MRI Pulse Sequence Design
• Image Reconstruction
• +۵ مورد دیگر

Pavlos Vlachos is a Professor of Mechanical Engineering at Purdue University, affiliated with both the Department of Mechanical Engineering and the Biomedical Engineering program. He holds an office in the MANN building and is part of the Moveable Dream Hire Committee. His research focuses on fluid dynamics, biomedical engineering, and cardiovascular systems, with applications in medical imaging, drug delivery systems, and computational modeling. His work combines experimental and computational methods to study intracardiac flow in congenital heart diseases, subcutaneous drug delivery mechanisms, and novel echocardiographic biomarkers for sepsis and heart failure. He has developed advanced imaging techniques like 4D flow MRI reconstruction and Doppler velocity analysis tools for clinical diagnostics. His projects often bridge engineering and medicine, addressing challenges in pediatric cardiology, nanomedicine, and biomaterials. Key contributions include computational models for autoinjector performance, non-invasive cardiac flow assessment, and machine learning approaches for echocardiogram analysis. He actively engages in educational initiatives integrating virtual and physical labs for fluid mechanics education, emphasizing hands-on learning through open projects and data-driven experiments. His research portfolio spans over 50 peer-reviewed articles between 2022-2025, with a focus on translational biomedical engineering. Collaborations involve multi-disciplinary teams from cardiology, bioengineering, and materials science. Current interests include optimizing subcutaneous injection systems, predicting sepsis outcomes via hemodynamic indices, and improving diagnostic accuracy through automated image segmentation.

• Fluid Dynamics
• Biomedical Engineering
• Cardiovascular Systems
• +۴ مورد دیگر

Anne Skeldon is a Professor of Mathematics at the University of Surrey , actively contributing to the Mathematics of Life and Social Sciences research group and co-leading the Centre for Mathematical and Computational Biology . Her work bridges mathematical theory with applications in sleep science, circadian biology, and complex systems analysis. Primary Affiliation: School of Mathematics and Physics, University of Surrey Key Collaborations: Surrey Sleep Research Centre, Department of Psychology, Centre for Mathematical and Computational Biology Research Interests focus on: Mathematical modeling of sleep-wake regulation and circadian rhythms Impact of light environment on sleep physiology Data science applications for fatigue risk management Nonlinear dynamics in biological systems Personalized interventions for sleep disorders Recent Publications highlight: Integrating circadian and sleep-wake driven gene expression models Designing digital tools for circadian monitoring in dementia Mathematical analysis of light sensitivity in circadian pacemaker assessment Model-based approaches for circadian entrainment in modern environments Supervision includes: Current PhD students in sleep modeling and circadian data science Completed students with projects spanning mathematical ecology to neuronal dynamics

• Sleep and Circadian Rhythms
• Data Science
• Mathematical Biology
• +۴ 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.

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

Evren Özarslan is a Senior Associate Professor in the Department of Biomedical Engineering at Linköping University, Sweden. He holds a master’s degree in Biomedical Engineering and a Ph.D. in Physics from the University of Florida. Prior to his current position, he conducted research at the NIH, worked at Harvard Medical School, and was a faculty member at Bogazici University. His research focuses on characterizing tissue microstructure using magnetic resonance techniques, with projects including biomedical image science, diffusion MRI applications in neuroimaging, and AI-driven analysis of medical imaging data. Education includes: Master’s in Biomedical Engineering, University of Florida Ph.D. in Physics, University of Florida Research interests span: Diffusion MRI and its applications in neurology Medical image analysis and AI integration Biomedical engineering innovations for clinical imaging He leads projects like the 'COVID-19 Survivors Assessed with Diffusion MRI and AI' and is affiliated with the Center for Medical Image Science and Visualization (CMIV). As a supervisor, he has guided PhD students Jens Sjölund (2018) and Xuan Gu (2019), and currently mentors postdoc Iulian Emil Tampu. His work bridges advanced imaging techniques with clinical applications, emphasizing validation frameworks and novel MRI methodologies.

• Magnetic Resonance Imaging (MRI)
• Biomedical Engineering
• Medical Image Analysis
• +۵ مورد دیگر