جست‌وجوی استاد و پژوهشگر

• Magnetic Resonance Imaging (MRI)
• Neuroimaging Biophysics
• Brain Metabolism Analysis
• +۶ مورد دیگر

Harald E. Möller is a Professor and Head of the Nuclear Magnetic Resonance Research and Development Unit at the Max Planck Institute for Human Cognitive and Brain Sciences in Leipzig. With a career spanning over four decades, he has held academic positions including Honorary Professor at the University of Leipzig and leadership roles in institutions like Duke University Medical Center and the University of Münster. His research focuses on advancing MRI methodologies, biophysical imaging principles, and their applications in neurology and neuroscience. Education: 1979-1985: Chemistry & Physics studies at Universities of Dortmund and Münster 1985: M.Sc. (Diploma) in Chemistry 1988: PhD in Physical Chemistry (summa cum laude) 2000: Habilitation in Physical Chemistry 2002: Habilitation in Biophysical Chemistry Research Interests: Development of novel MRI methods Quantitative tissue characterization Myelin sheath imaging Cerebral blood flow dynamics High-field MRI hardware

Nicholas Portمشاهده پروفایل

استاد

• Neuroscience
• Optometry
• Concussion Research
• +۷ مورد دیگر

Nicholas Port is a Professor at the Indiana University School of Optometry, where he has served since 2005. He holds a Ph.D. in Neuroscience from the University of Minnesota (1997) and completed postdoctoral training at the National Eye Institute's Laboratory for Sensorimotor Research. His research focuses on concussion/mTBI effects, athlete concussion epidemiology, neurobiology of brain injury, and human eye movement development. He is a key contributor to the NCAA-DoD CARE Consortium, advancing concussion assessment tools like VOMS and SCAT3. Education: Ph.D. in Neuroscience, University of Minnesota, 1997 Postdoctoral Training: National Eye Institute, 1997–2005 Research Interests: Concussion diagnosis and management in athletes Neurobiological mechanisms of TBI Developmental oculomotor systems Epidemiology of sports-related injuries His publications emphasize clinical and neuroimaging approaches to understanding concussion outcomes and athlete brain health. He teaches courses on ocular motility, biomedical systems, and neurobiology of concussion. His work bridges optometry, neuroscience, and sports medicine to address pressing health challenges in athletics. Advising & Grants: As a graduate faculty member with PhD committee leadership, Dr. Port mentors students in optometry and neuroscience. His research leverages interdisciplinary collaborations, such as the CARE Consortium’s large-scale athlete studies. Labs/Teams: Active in IU School of Optometry’s research programs, contributing to sensorimotor and vision science initiatives.

Daniel Twardمشاهده پروفایل

استادیار

• Neuroimaging
• Computational Neuroscience
• Machine Learning
• +۴ مورد دیگر

Dr. Daniel Tward is an Assistant Professor at the University of California, Los Angeles (UCLA), holding joint appointments in the Department of Neurology and the Department of Computational Medicine. He earned his Ph.D. in Biomedical Engineering from Johns Hopkins University and completed postdoctoral training at the Kavli Neuroscience Discovery Institute. His research integrates neuroimaging, machine learning, and differential geometry to analyze brain structure changes in neurodegenerative diseases like Alzheimer's, with a focus on bridging molecular pathology and clinical imaging. Research Interests: Dr. Tward's work addresses challenges in neuroimaging data complexity, developing computational tools to map brain anatomy across scales (from centimeters to microns). Key areas include neurodegeneration in the medial temporal lobe, multi-modal image registration, and spatial transcriptomics. His lab emphasizes high-dimensional statistics and geometry-driven analysis to improve diagnostic accuracy and clinical trial design. Grants & Projects: Secured NIH funding for: A 3D multimodal human brain atlas integrating MRI and histology. CloudReg—a distributed framework for massive neuroimage registration. Contributions to the BRAIN Initiative Cell Census Network (BICCN) for mouse/rat brain atlases. Students & Training: Mentors undergraduate researchers via the BIG Summer program, with projects on neural networks, spatial transcriptomics, and MRI analysis. No PhD/Master's advisees listed.

Laura R. Mentمشاهده پروفایل

استاد

• Neonatal Brain Injury
• Pediatric Neurology
• Developmental Delays
• +۵ مورد دیگر

Laura R. Ment, MD, is a Professor of Pediatrics (Neurology) and Associate Dean for Admissions and Financial Aid at Yale School of Medicine . She specializes in neonatal brain injuries and neurological conditions in infants, including intraventricular hemorrhage , periventricular white matter injury , and epilepsy . Her research focuses on the adaptive mechanisms of the developing brain , utilizing advanced MRI techniques and molecular technologies to identify biomarkers for brain maturation. Education : MD, Tufts University School of Medicine (1973) Pediatrics & Pediatric Neurology Training, Massachusetts General Hospital (1974–1979) Research Interests : Dr. Ment leads studies on neonatal brain injury , neurodevelopmental sequelae of preterm birth , and genetic mechanisms in developmental disorders . She pioneered multicenter trials on prevention of preterm brain injury and neural connectivity in preterm infants . Scientific Awards : Leah Lowenstein Award (2009) Norman Siegal Award (2023) Leadership & Grants : As a former member of the NIH/NINDS Council and Chair of its Clinical Trial Subcommittee, she has driven national research priorities. She currently oversees the START Program at Yale and serves as a sub-investigator for the Genomic Basis of Neurodevelopmental and Brain Outcomes in Congenital Heart Disease trial (HIC ID 2000020449).

Orestis L. Katsamenisمشاهده پروفایل

مدرس

• 3D X-ray Histology
• Microfocus Computed Tomography
• Biomedical Imaging
• +۶ مورد دیگر

Dr Orestis L. Katsamenis is a Lecturer in Biomedical Imaging at the University of Southampton , affiliated with the Faculty of Engineering and Physical Sciences (FEPS) and the Faculty of Medicine (FoM) . He leads the 3D X-ray Histology and Biomedical Imaging Theme at the μ-VIS X-ray Imaging Centre and holds a visiting position at the University Hospital Southampton NHS Foundation Trust in the Biomedical Imaging Unit of Cellular Pathology and Child Health. Education: BSc in Materials Science (University of Patras, 2007), MSc in Materials Science (University of Patras, 2009), PhD in Bioengineering (University of Southampton, 2012). His research focuses on 3D X-ray Histology (XRH) and Microfocus Computed Tomography (μCT) applied to biological and clinical imaging , pharmaceutical technology , and bone nanostructure . He has pioneered μCT protocols for clinical histology and developed advanced 3D imaging tools for applications in drug delivery , tissue engineering , and evolutionary biology . His work spans multidisciplinary collaborations with engineers, medical professionals, and paleontologists. Recent publications highlight his contributions to 3D imaging of bone , microneedle design , 4D-printed polypills , and paleontological studies . He has received awards including the EPSRC Doctoral Prize Award (2012) and multiple scientific presentation honors (2018) . Dr Katsamenis supervises PhD student Ayesha Mohiud Din and collaborates with research groups like the Engineering Materials and Surface Engineering Group and the Institute for Life Sciences . His Google Scholar profile lists over 20 recent articles, showing his prolific and diverse research output.

• Mathematical Analysis
• Fuzzy Set Theory
• Measure Theory
• +۵ مورد دیگر

Lect. dr. Alina Cristiana Gavriluţ is a faculty member at the Faculty of Mathematics, Al. I. Cuza University of Iaşi, Romania. Her research focuses on advanced topics in mathematical analysis, including set multifunctions, non-additive measures, fuzzy integrals, and their applications in physics and complex systems. She has authored/co-authored multiple books and over 30 peer-reviewed papers in journals like Fuzzy Sets and Systems , Entropy , and Reports on Mathematical Physics . Her work explores regularity properties of set multifunctions, integrability in non-additive settings, and interdisciplinary applications in areas like fractal information, quantum mechanics, and neurosciences. She has also contributed to theoretical frameworks connecting mathematical physics with complex systems, including studies on non-differentiable entropy and spacetime manifolds. Dr. Gavriluţ collaborates extensively with researchers in mathematics and physics, notably Maricel Agop and Anca Croitoru. Her research has implications for diverse fields, from image processing to neuronal network modeling. She actively participates in international conferences, presenting findings on set-valued integration, fractal systems, and transdisciplinary approaches to complex phenomena. Education: PhD in Mathematics from Al. I. Cuza University (year not specified). Key Areas: Mathematical analysis, measure theory, fuzzy set theory, complex systems, non-differentiable dynamics. Grants/Awards: Not explicitly listed in the provided texts, but her prolific publication record indicates sustained academic engagement. Labs/Teams: Affiliated with the Mathematics department at Al. I. Cuza University, contributing to research groups in functional analysis and mathematical physics.

• Neuroscience
• Brain Networks
• Functional Connectivity
• +۴ مورد دیگر

Richard F Betzel is an Associate Professor in Neuroscience at University of Minnesota and affiliated with Indiana University and Northwestern University through collaborative research grants. As a leading network neuroscientist, he develops edge-centric approaches for analyzing brain network organization and dynamics. Current affiliations: University of Minnesota (primary), Indiana University (collaboration), Northwestern University (collaboration) Active research grants from: National Science Foundation (NSF), NIH National Institute on Aging, NIH National Institute of Neurological Disorders & Stroke His research focuses on: Understanding brain network reconfiguration during aging and cognitive tasks Developing computational tools for analyzing connectome architecture Exploring relationships between structural and functional connectivity Investigating network mechanisms in neurodegenerative disorders like Parkinson's Advancing mindfulness meditation research through network neuroscience Recent publications emphasize: Edge-centric network analysis methods Connectome organization across species Dynamic network approaches to social cognition Functional MRI analysis of co-fluctuations Network controllability and modular architecture Applications to both healthy aging and pathological conditions His work contributes to UN Sustainable Development Goals including healthy aging (SDG 3) and scientific knowledge advancement. Current projects include NCS-FO for edge-centric brain mapping (NSF-funded), social cognitive aging research (NIH), and TMS therapy network analysis (NIH).

• Diagnostic Imaging
• Neuroradiology
• Neuroscience
• +۴ مورد دیگر

Cesare Gagliardo is a Researcher (MEDS-22/B) at the University of Palermo, Department of Biomedicine, Neuroscience and Advanced Diagnostics, School of Medicine and Surgery. He maintains regular office hours on Wednesdays from 10:00 to 12:00 at the Radiological Sciences Section. His academic responsibilities include teaching diagnostic imaging courses across multiple health professions programs including Nursing, Hearing Prosthetic Techniques, and Neuroscience. Dr. Gagliardo's research focuses on advanced diagnostic imaging techniques, particularly in neuroradiology and MRI-guided focused ultrasound applications. His work spans neurological disorders, peripheral nerve pathologies, and innovative non-invasive surgical approaches. He has made significant contributions to transcranial MRI-guided focused ultrasound surgery, publishing some of the world's first experiences with this technology for treating essential tremor and other neurological conditions. Analysis of his publication record reveals a strong emphasis on translational research connecting imaging technology with clinical applications. His work demonstrates expertise in diffusion kurtosis imaging, resting state fMRI, and the diagnostic applications of ultrasound in peripheral nerve pathologies. The research trajectory shows progression from foundational imaging techniques to innovative therapeutic applications of focused ultrasound. His scientific contributions include pioneering work in transcranial MRI-guided focused ultrasound surgery, with publications documenting the world's first experiences with this technology. His research spans multiple disciplines including neuroscience, radiology, neurosurgery, and gynecology, demonstrating interdisciplinary collaboration across medical specialties. Dr. Gagliardo actively contributes to medical education through multiple courses in diagnostic imaging, neuroradiology, and medical advanced diagnostics across various health profession programs at the University of Palermo. His teaching spans undergraduate and graduate level instruction for nursing, neuroscience, and specialized health professions.

Ionut Chifanمشاهده پروفایل

استاد

• Operator Algebras
• Ergodic Theory
• Group Theory
• +۱ مورد دیگر

Ionut Chifan is a Professor of Mathematics at the University of Iowa. His research focuses on operator algebras, ergodic theory, and group theory, with a particular emphasis on structural properties of von Neumann algebras associated with negatively curved groups and graph product groups. He earned his PhD from UCLA and has contributed extensively to understanding rigidity phenomena in operator algebras and group actions. Key research interests include: Superrigidity for von Neumann algebras Classification of II₁ factors Rigidity results for group von Neumann algebras with diffuse centers Structural analysis of graph product groups His work has explored topics such as quasinormalizers, outer automorphisms, and embeddings in von Neumann algebras. He has also investigated applications of small cancellation theory and geometric group theory to operator algebras. Notable contributions include foundational results on W*-superrigidity for wreath-like products and graph product groups. His research bridges connections between von Neumann algebras, geometric group theory, and continuous model theory. Chifan has collaborated on grants such as the NSF-funded project "FRG: Collaborative Research: von Neumann Algebras Associated to Groups Acting on Hyperbolic Spaces" (2019). His work often emphasizes the interplay between algebraic structures and functional analytic properties.

Ben Jeurissenمشاهده پروفایل

استاد پژوهشی

• Medical Image Computing
• Quantitative Magnetic Resonance Imaging
• Diffusion MRI
• +۴ مورد دیگر

Prof. Dr. Ben Jeurissen is an Associate Research Professor at the Department of Physics, University of Antwerp , Belgium, specializing in Medical Image Computing , Quantitative MRI , and Diffusion MRI . He received an ERC Consolidator Grant (2023) and FWO Senior Postdoctoral Fellowship (2018–2021) , with a focus on data-driven approaches to study brain microstructure. Education : MSc in Computer Science (2004), Biomedical Imaging (2006), PhD in Science (2012) from University of Antwerp. Research : His work bridges Neuroscience , Medical Imaging , and Computational Methods , particularly in Diffusion MRI and Quantitative MRI for applications in Alzheimer’s disease , spaceflight effects on the brain, and knee imaging . Awards : ERC Consolidator Grant (2023) Australian Museum Eureka Prize Finalist (2024) Multiple Magna/Summa Cum Laude Merit Awards at ISMRM conferences Prize Robert Oppenheimer (2015) Publications span NeuroImage , Human Brain Mapping , Journal of Alzheimer's Disease , and Investigative Radiology , with key contributions to super-resolution MRI , fiber tracking , and brain microstructure analysis . He serves as a contributor to MRtrix and advisor for PhD theses in Computational Anatomy and Medical Imaging .

Petros Dellaportasمشاهده پروفایل

استاد

• Bayesian Statistics
• Machine Learning
• Financial Econometrics
• +۷ مورد دیگر

Petros Dellaportas holds dual appointments as a Professor of Statistical Science at University College London (UCL) and a Professor of Statistics at the Athens University of Economics and Business (AUEB). His research focuses on Bayesian statistics, machine learning, financial econometrics, and dynamic pricing. He leads projects on topics such as Poisson processes for cybersecurity, reservoir computing for macroeconomic forecasting, and probabilistic fault detection in wind parks. His recent publications emphasize advancements in Bayesian methods, variational autoencoders, and spatio-temporal point processes. Dellaportas has supervised over 20 PhD students, contributing to areas like stochastic volatility models and inverse reinforcement learning. He co-founded Thales and Friends, an organization bridging mathematics and cultural activities, and organizes the Greek Stochastics workshop series on topics ranging from causal learning to computational statistics. Key projects include anomaly detection in VAT networks and scalable Gaussian process models. His work often integrates statistical theory with applications in finance, sports analytics, and environmental science. Dellaportas maintains active collaborations with institutions globally, advancing interdisciplinary research and methodological innovations in statistical science.

Kristin O'Gradyمشاهده پروفایل

استادیار

• Quantitative MRI Methodologies
• Neurological Diseases (Multiple Sclerosis)
• Spinal Cord Imaging
• +۳ مورد دیگر

Dr. Kristin O'Grady is an Assistant Professor in the Department of Biomedical Engineering and Department of Radiology & Radiological Sciences at Vanderbilt University's School of Engineering. Her research focuses on developing quantitative MRI methodologies for the brain and spinal cord, particularly improving spinal cord MRI for neurological diseases like multiple sclerosis. She specializes in diffusion tensor imaging, functional connectivity analysis, and high-field MRI applications. Her work spans advanced imaging techniques including MP2RAGE, susceptibility-weighted MRI, and phase imaging, with a focus on clinical feasibility and disease markers. She has contributed to studies on spinal cord morphometry, paramagnetic rim lesions, and biological interactions affecting CNS structure. No scientific awards or grants are explicitly listed in the provided materials. Dr. O'Grady collaborates across interdisciplinary teams within the School of Engineering, focusing on translational research in neuroimaging technologies.

• Cerebrovascular Disease
• Young Stroke
• Cognitive Consequences of Stroke
• +۵ مورد دیگر

Frank Erik de Leeuw is a Professor of Cerebrovascular Disease at the Department of Neurology, Radboud University Medical Center (Radboudumc), affiliated with the Faculty of Medical Sciences. He is also a Principal Investigator at the Donders Institute for Brain, Cognition and Behaviour and the Donders Community for Medical Neuroscience. Clinically, he is a vascular neurologist specializing in cerebrovascular diseases, particularly in young stroke patients and cognitive consequences of cerebrovascular disorders. His research focuses on the causes and consequences of cerebral small vessel disease, white matter lesions, and microbleeds using neuroepidemiology, neuroimaging, and neuropsychology. He leads major studies such as the RUNDMC study (since 2006), FUTURE study (since 2009), and ODYSSEY study (since 2013). Awards include the ZonMW VIDI Grant (2012) and the European Neurological Society Research Award (2004). His work bridges clinical observations with applied research, aiming to improve patient outcomes through large cohort studies and clinical trials. As an associate editor of the International Journal of Stroke and advisor to the Dutch Heart Foundation, he contributes to advancing stroke research and policy. His research emphasizes translating findings back to clinical practice, addressing cognitive and behavioral recovery in cerebrovascular patients.

Moo Chungمشاهده پروفایل

استاد

• Computational Neuroimaging
• Topological Data Analysis
• Brain Networks
• +۵ مورد دیگر

Moo Chung is a Professor of Biostatistics and Medical Informatics at the University of Wisconsin-Madison, affiliated with the School of Medicine and Public Health. He holds additional appointments in the Department of Statistics and the College of Letters and Science. Chung earned his Ph.D. in Mathematics and Statistics from McGill University under Professors Keith J. Worsley and James O. Ramsay. His research focuses on computational neuroimaging, leveraging MRI, fMRI, and DTI to study brain dynamics through topological and geometric methods. Key areas include persistent homology, brain network analysis, and statistical modeling of high-dimensional imaging data. He has pioneered methods like hyper-network construction and exact topological inference for paired brain networks, addressing computational challenges in analyzing large-scale neuroimaging datasets. Chung’s work integrates advanced mathematical techniques such as Hodge Laplacian, spectral graph theory, and Wasserstein distances to analyze brain connectivity. He has secured NIH funding for projects like the Brain Initiative (2017-2020) and current grant MH133614 (2023), focusing on geometric data analysis and topological dynamics. His contributions include three books on brain imaging and network analysis, with ongoing research on topological data analysis applications. Awards: Vilas Associate Award (2013-2014), NIH Brain Initiative Award, Editor's Award (2011) Labs/Teams: Leads brain imaging workshops globally, including Seoul National University (2024) and POSTECH (2024), and organizes conferences like ISBI and MICCAI special sessions. Grants: NIH EB022856 (Brain Initiative), MH133614 (2023), and collaborations with institutions like Vanderbilt University and University of Chicago. Chung actively mentors students and postdocs in biomedical data science, offering fellowships through the CIBM program. His group maintains a Google mailing list for brain image analysis discussions and hosts regular seminars on methodological advancements.

• Psychiatry
• Mood Disorders
• Bipolar Disorder
• +۵ مورد دیگر

Cristina Anna Colombo is a Full Professor of Psychiatry at Vita-Salute San Raffaele University’s School of Medicine. She holds leadership positions including Head of the Mood Disorders Unit at San Raffaele Hospital in Milan. Her career spans over three decades, with expertise in neurobiology, psychopharmacology, and chronotherapeutics. Colombo earned her medical degree from the University of Milan in 1985, completing residencies in Psychiatry and specializing in clinical neurosciences. Her research focuses on mood disorders, particularly bipolar disorder, schizophrenia, and the neurobiological mechanisms underlying depression. She pioneered studies on sleep deprivation therapy, light therapy, and genetic factors influencing treatment responses. Her work integrates neuroimaging (MRI, PET), pharmacogenetics, and chronobiology to understand mental health disorders. Colombo has authored over 125 peer-reviewed articles and book chapters, with notable contributions on serotonin transporter gene polymorphisms and lithium’s neuroprotective effects. She directs postgraduate courses in forensic psychopathology and security professions at her university. Her clinical and academic roles emphasize translational research, bridging neurobiological insights with clinical practice. Her awards and honors include board certifications in Psychiatry and Criminology (cum laude), and her leadership in international congresses highlights her global impact. Colombo’s work continues to advance treatment strategies for mood disorders, emphasizing personalized medicine and non-pharmacological interventions.