جست‌وجوی استاد و پژوهشگر

Yang Jiangمشاهده پروفایل

استاد

• Cognitive Neuroscience
• Neuroimaging
• Aging Research
• +۷ مورد دیگر

Dr. Yang Jiang is a tenured Professor at the University of Kentucky , affiliated with the Department of Behavioral Science (College of Medicine), Psychology Department (College of Arts and Sciences), and the Sanders-Brown Center on Aging . Her research in the ABC Lab focuses on neural mechanisms of sensory perception and cognition in aging and neurodegenerative diseases like Alzheimer's, using fMRI , EEG/ERPs , and MEG . She developed the Bluegrass EEG protocol for early cognitive decline detection and leads federally funded (NIH, VA) projects on neurofeedback interventions. Dr. Jiang has taught cognitive neuroscience courses at all academic levels and co-directs graduate seminars in the Clinical and Translational Science (CTS) program. Her collaborations span the Alzheimer's Disease Research Center , MRI Center , and a NIH program project on Astrocyte Reactivity . She reviews grants for NIH and international agencies and serves on scientific boards like the Organization for Human Brain Mapping and Alzheimer’s Association . Her recent publications (2025-2023) emphasize EEG/fMRI biomarkers for Alzheimer's and aging, neurofeedback efficacy, and brain connectivity in cognitive impairment. Awards include the WILEY Top Downloaded Article (2021) and leadership roles in federally funded research.

• Biological Anthropology
• Functional Morphology
• Comparative Anatomy
• +۵ مورد دیگر

Kristian J. Carlson serves as a Clinical Professor of Medical Education at the Keck School of Medicine, University of Southern California, where he teaches human gross anatomy to first and second-year medical students. His research bridges clinical medicine and paleoanthropology through interdisciplinary investigations of skeletal form and function across evolutionary timescales. Carlson earned his doctoral degree in biological anthropology from Indiana University's four-field program, followed by postdoctoral training at Stony Brook University's Department of Anatomical Sciences and the University of Zurich's Anthropological Institute and Museum. His research program integrates comparative anatomy , locomotor mechanics , and bone biology to analyze postcranial skeletons in extant primates and fossil hominins. Key investigations include: Trabecular and cortical bone adaptations to mechanical loading Evolutionary biomechanics of bipedal locomotion Clinical applications of skeletal maintenance through physical activity Morphological reconstructions of extinct hominin behaviors Advanced imaging analysis of fossil specimens like StW 573 ("Little Foot") Publication trends reveal consistent focus on hominin fossil analysis (particularly Australopithecus sediba), skeletal biomechanics, and clinical bone health applications, utilizing methodologies from high-resolution CT scanning to finite element analysis. No scientific awards or major grants were documented in the source material. Information regarding research teams, laboratory facilities, or student mentorship was not provided.

• Brain Energy Metabolism
• Magnetic Resonance Imaging (MRI)
• Molecular Imaging
• +۵ مورد دیگر

Dr. D. S. Fahmeed Hyder is a Professor of Radiology & Biomedical Imaging and Biomedical Engineering at Yale University, with joint appointments in the Yale School of Medicine. He leads the Magnetic Resonance Research Center (MRRC) and directs the Core Center for Quantitative Neuroscience with Magnetic Resonance (QNMR). His research focuses on brain energy metabolism, developing advanced MRI techniques to study neuronal-glial interactions, metabolic dysfunction biomarkers, and molecular imaging of tumors. He holds over 240 peer-reviewed publications and has secured continuous NIH funding for 25+ years. Education: B.A. in Chemistry (Wabash College, 1990), Ph.D. in Biophysical Chemistry (Yale University, 1995). Postdoctoral training includes roles at Oak Ridge National Laboratory, University of Rochester, and Yale. Research Interests: Functional MRI (fMRI) advancements, calibrated fMRI for quantitative neural activity, BIRDS molecular imaging (for pH/temperature), and applications in neurodegenerative diseases (e.g., Alzheimer’s) and oncology. Current projects include pH biosensor development, tumor response monitoring, and neuropil density prediction via AI. Awards: Melvin H. Knisely Award, Niels Lassen Award, Lundbeck Visiting Professorship, and fellowships in AIMBE, ARBR, and Sigma Xi. Recently appointed Head of Trumbull College at Yale. Grants: Continuous NIH support across 7 institutes; active projects in molecular imaging, stroke models, and neurovascular coupling. Labs/Teams: MRRC (mrrc.yale.edu), QNMR (qnmr.yale.edu), collaborating with interdisciplinary teams in physics, engineering, and biology.

Tengteng Tangمشاهده پروفایل

استادیار

• Biomechanics
• Biomaterials
• Structure-function relationships
• +۴ مورد دیگر

Tengteng (Toni) Tang is an Assistant Professor in the Department of Materials Science and Engineering at the University of Virginia. She holds a Ph.D. from the University of British Columbia and completed postdoctoral training at the Max Planck Institute of Colloids and Interfaces in Germany. Her research focuses on understanding the structure-function relationships in biomineralizing tissues like bone, cartilage, and tendon, leveraging advanced imaging techniques such as correlative light and electron tomography, synchrotron X-ray scattering, and 3D nanotomography. Her work investigates how micro- and nanoscale structural adaptations influence biomechanical functions, with particular emphasis on musculoskeletal diseases like osteoarthritis. Tang has pioneered correlative microscopy approaches to visualize bone across multiple length scales, earning recognition as a Bone Reports Early Career Researcher and recipient of the ICCBMT Young Investigator Award. Key grants include NSERC Discovery and Alliance Catalyst Grants for studying cranial sutures and bone metastases. Her lab’s findings have advanced understanding of mineralization processes, nanochannel networks, and bone-implant interfaces. Tang teaches Special Topics in Fracture Mechanics and collaborates on innovative imaging techniques, such as a 'Google Earth' view of bone architecture for disease prevention.

• Neuroscience
• Neuroimaging
• Alzheimer's Disease
• +۷ مورد دیگر

Jace B. King is an Assistant Professor in the Department of Radiology & Imaging Sciences at the University of Utah School of Medicine . He holds multiple graduate degrees including a Ph.D. in Neuroscience , an M.B.A. from the David Eccles School of Business , and a B.S. in Psychology from the University of Utah. Ph.D. in Neuroscience - University of Utah School of Medicine M.B.A. - University of Utah David Eccles School of Business B.S. in Psychology - University of Utah Dr. King's research focuses on neuroimaging and brain connectivity across various conditions including Alzheimer's disease , autism spectrum disorder , and pediatric bipolar disorder . His work explores functional connectivity patterns , neuroanatomical differences , and biomarker correlations using advanced imaging techniques. Analysis of his publications reveals consistent work in Alzheimer's disease progression through motor task analysis and biomarker prediction (2021-2025), autism neuroconnectivity studies with longitudinal brain network assessments (2016-2024), and neurodevelopmental disorder research focusing on bipolar disorder and ADHD (2015-2023). His methodological approach combines fMRI , structural MRI , and electrophysiological analysis . Dr. King leads the Brain Network Lab , which conducts reproducibility studies for neuroimaging software and investigates functional connectivity patterns across multiple neurological conditions.

David Rudkoمشاهده پروفایل

دانشیار

• Neuroimaging
• MRI Methodology
• Biophysical Modeling
• +۵ مورد دیگر

David Rudko is an Associate Professor and Director of the 7T Pre-Clinical MRI Unit at the Montreal Neurological Institute-Hospital (The Neuro), a bilingual academic healthcare institution and McGill University research and teaching institute. He is part of the Brain Imaging Centre (BIC) Core Faculty and serves as a Killam Scholar. His work bridges advanced MRI technology development with neurological disease research, particularly focusing on multiple sclerosis and other neuroimmunological conditions. Dr. Rudko's research centers on the application of novel MRI methodology in conjunction with biophysical modeling to enhance understanding of brain anatomy and physiology. His laboratory develops cutting-edge MRI physics acquisition and post-processing techniques for mapping myelin density, axonal packing, and axonal geometry. A key focus is on ultra-high field (UHF, >3T) MRI, where his team addresses critical challenges including RF field homogenization and static magnetic field inhomogeneities. The lab utilizes both small animal (7T) and human MRI/MRS (3T, 7T) systems in conjunction with optical microscopy and advanced image processing methods. Analysis of Dr. Rudko's recent publications reveals a strong emphasis on multiple sclerosis research using advanced MRI techniques. His work spans from fundamental MRI physics development to clinical applications, with particular attention to cortical pathology, white matter lesions, and iron metabolism in neurological disorders. His research group has made significant contributions to understanding the microstructural basis of neurological diseases through innovative imaging approaches that bridge cellular-level observations with macroscopic imaging metrics. Killam Scholar Dr. Rudko leads the Rudko Lab, which is affiliated with both the Neuroimaging and Neuroinformatics Research Group and the Neuroimmunological Diseases Research Group at The Neuro. His laboratory focuses on developing and applying advanced MRI techniques to understand the cellular and microstructural basis of neurological diseases, with particular emphasis on multiple sclerosis. The lab utilizes a multidisciplinary approach combining physics, engineering, neuroscience, and clinical medicine to advance both the technical capabilities of MRI and its applications to neurological disorders.

• Bone Biology
• Biomechanics
• Diabetes and Bone Fragility
• +۲ مورد دیگر

Dr. Praveer Sihota is a Researcher at the Department of Osteology and Biomechanics , Universitätsklinikum Hamburg-Eppendorf (UKE). His work focuses on bone quality alterations in metabolic diseases and orthopedic conditions, utilizing multi-scale analysis from nanomechanics to clinical outcomes. Research Interests: Bone biology in type 2 diabetes Fracture mechanics and bone fragility Nanoscale bone material properties Effects of glycation on bone integrity Orthopedic biomechanics His recent publications (2024-2025) demonstrate consistent focus on diabetes-related bone deterioration, tumor-induced bone modifications, and genetic influences on bone structure. Studies employ murine models, human tissue analysis, and advanced imaging techniques to characterize bone quality deterioration mechanisms. No awards, grants, or student mentorship details are documented in available sources.

• Biomedical Sciences
• Neuroscience
• Ageing Research
• +۵ مورد دیگر

Assoc Prof Nagaendran Kandiah is an Associate Professor of Neuroscience at the Lee Kong Chian School of Medicine, Nanyang Technological University (NTU). He serves as Director of the Dementia Research Centre and holds an appointment as a Clinician Scientist with the National Medical Research Council. His expertise spans cognitive neurology and vascular neurology, with a focus on dementia, healthy brain ageing, and brain disorders associated with ageing. Research interests include biomarker development, vascular contributions to neurodegeneration, and early detection strategies for cognitive impairment. Clinically, he integrates translational research with clinical practice, focusing on mild cognitive impairment (MCI), vascular cognitive impairment (VCI), and dementia. His recent work explores blood-based biomarkers (e.g., GFAP, p-tau181), digital health tools (e.g., ReCOGnAIze app), and the role of vascular risk factors in cognitive decline. He leads studies like the SINgapore GERiatric Intervention Study (SINGER), investigating multidomain lifestyle interventions to mitigate cognitive decline and frailty. His publications emphasize cross-cultural validation of cognitive assessments (e.g., Visual Cognitive Assessment Test), pathophysiological mechanisms linking cerebrovascular disease to neurodegeneration, and novel biomarker applications in Southeast Asian populations. Key themes include the synergy between APOE4 genotype and vascular pathology, and the utility of machine learning for syndrome classification in neurology.

• Neuroimaging
• MRI Segmentation
• Brain Structure Analysis
• +۵ مورد دیگر

Dr. Pierre-Louis Bazin is a Researcher in the Department of Neurophysics at the Max Planck Institute for Human Cognitive and Brain Sciences. He holds a PhD from INRIA Rocquencourt (France) and conducted postdoctoral research at Brown University and Johns Hopkins University in the US. His work focuses on advanced neuroimaging techniques, including high-resolution MRI parcellation, quantitative MRI, and subcortical structure analysis. Key projects involve developing automated segmentation tools (e.g., Nighres), exploring cerebellar and subcortical anatomy, and investigating neurodegenerative markers using multi-modal approaches. Education 1995-1998: Electrical Engineering Diploma, SUPELEC (France) 1998-2001: PhD in Computer Vision & Graphics, INRIA Rocquencourt (France) 2001-2003: Postdoc in Computer Vision & Archaeology, Brown University (USA) 2003-2006: Postdoc in Neuroimaging, Johns Hopkins University (USA) Research Interests High-field MRI (7T+) applications in structural and functional brain mapping Development of neuroimaging software tools (e.g., Nighres) Subcortical and cerebellar morphometry in health and disease Quantitative MRI techniques for histology correlation Connectivity analysis in psychiatric disorders (e.g., schizophrenia) Awards Royal Netherlands Academy of Arts and Sciences (KNAW) membership (2020, 2024) Grants & Labs : Directs the Neurophysics lab at MPI-CBS. Active in large-scale projects like the Amsterdam Ultra-high field adult lifespan database (AHEAD). Collaborates on tools like MP2RAGEME for multi-parametric MRI. Labs/Teams : Leads neuroimaging method development and clinical translation efforts in Leipzig, Germany.

Moataz Assemمشاهده پروفایل

پژوهشگر ارشد

• Cognitive Neuroscience
• Neuroanatomy
• Functional MRI (fMRI)
• +۷ مورد دیگر

Moataz Assem is a Wellcome Trust Early Career Fellow at the MRC Cognition and Brain Sciences Unit , University of Cambridge. Affiliated with the Cambridge Neuroscience network, his work focuses on the neural basis of human intelligence through advanced neuroimaging techniques. School: Clinical Medicine His research examines the multiple-demand (MD) cortical circuit —its anatomical precision, functional dynamics, and role in cognitive control. Using fMRI , intracranial EEG , and concurrent TMS-fMRI , he explores how this network organizes thoughts and behavior, including its interaction with sensory-biased regions. Key publications span 2025-2019 in journals like Neuropsychologia , Cerebral Cortex , and Trends in Cognitive Sciences , addressing topics such as domain-general vs. domain-specific brain regions , task coding , and neurostimulation protocols . His 2025 work reveals a patchwork organization of intelligence-related cortical regions. Scientific accolades include the Wellcome Trust Early Career Award (2024). Collaborators span institutions like Harvard , Washington University , and Stanford , with ongoing projects testing PhD candidates and postdocs in computational psychiatry and neuroimaging.

G. Allan Johnsonمشاهده پروفایل

استاد

• Magnetic Resonance Imaging
• Biomedical Technology
• Neuroimaging
• +۵ مورد دیگر

G. Allan Johnson is the Charles E. Putman University Distinguished Professor of Radiology at Duke University, with concurrent appointments in Physics (Trinity College of Arts & Sciences) and Biomedical Engineering (Pratt School of Engineering). He serves as Director of the Duke Center for In Vivo Microscopy , an NIH/NIBIB national Biomedical Technology Resource Center focused on developing preclinical imaging technologies and applying them to critical biomedical questions. Ph.D. in Radiology from Duke University (1974) Current leadership in preclinical MRI and connectomics His research spans high-resolution magnetic resonance imaging , diffusion MRI , and structural connectomics , with applications to neurodegenerative diseases , brain development , and biomedical engineering . Recent work includes creating multicontrast MR atlases for rodent brains and pioneering ex vivo MRI-histology fusion techniques . Selected publications reveal expertise in diffusion tensor imaging , tractography , and multimodal imaging workflows for both preclinical and clinical applications . Grants include leadership in projects funded by the CHDI Foundation (Huntington's disease), University of Pittsburgh (connectome atlases), and University of Tennessee Health Science Center (Alzheimer's imaging genetics). Scientific recognition includes NIH/NIBIB Resource Center Leadership Charles E. Putman University Distinguished Professorship His team at the Duke Center for In Vivo Microscopy develops multiparametric imaging platforms , 4D cardiac micro-CT atlases , and quantitative susceptibility mapping methods for applications ranging from neurotoxicology to plant root imaging .

Matt Davidsonمشاهده پروفایل

مدرس

• Developmental Science
• Cognitive Development
• Executive Function
• +۳ مورد دیگر

Matt Davidson is a Lecturer in the Department of Psychological and Brain Sciences at the University of Massachusetts Amherst. He holds a PhD from the University of Oregon and a BSc from the University of Lethbridge. Though currently not actively engaged in research, his research interests include cognitive control, executive function development, and gene-environment interactions influencing brain and cognitive development. These interests are reflected in his teaching, particularly his 391 seminar on Brain and Cognitive Development and the Methods of Inquiry course. Davidson teaches courses such as Brain and Cognitive Development, Laboratory in Physiological Psychology, and Methods of Inquiry. His service contributions include unspecified current roles. Collaboratively, he has worked with Kyle Cave and Junha Chang on an fMRI project investigating attentional mechanisms. His publications span neurodevelopmental studies, ADHD-related neural correlates, and developmental cognitive control, as seen in his Google Scholar profile. Though not currently research-active, his past work has addressed topics like frontostriatal connectivity in ADHD, neural mechanisms of expectancy violations, and age-related shifts in cortical activity patterns. Academic advising and course design remain central to his role at UMass Amherst.

• Neuroimaging
• Brain Mapping
• Computational Neuroscience
• +۴ مورد دیگر

Paul M. Thompson, PhD is a Professor at the Keck School of Medicine of the University of Southern California, with appointments across 8 departments including Neurology, Psychiatry, Biomedical Engineering, and Quantitative & Computational Biology. He leads the ENIGMA Consortium , a global network of 2500+ scientists across 47 countries conducting large-scale neuroimaging-genetics studies of 30+ brain disorders. His research integrates neuroimaging, mathematics, computer science , and clinical medicine to map brain diseases and develop AI tools for early detection. Education: MA in Mathematics & Classics (Oxford), PhD in Neuroscience (UCLA) Labs: Director of the USC Imaging Genetics Center (50+ researchers) and $11M NIH ENIGMA Center for Worldwide Medicine, Imaging & Genomics Key research areas include: Alzheimer’s Disease : Identifying genetic risk variants and AI-driven subtyping for novel treatment targets Psychiatric Disorders : Mapping brain changes in schizophrenia, depression, OCD, and bipolar illness Developmental Neuroscience : Tracking brain growth in children and fetal programming effects Global Health : India ENIGMA Initiative studying brain aging in diverse populations His recent publications focus on deep learning for MRI analysis , diffusion models for synthetic imaging , and genetic correlates of brain structure in journals like Nature Genetics , Science , and Nature . Major Awards : 2023 Society for Brain Mapping & Therapeutics: Pioneer in Medicine Award 2021 U.S. Alzheimer Association: Zenith Award 2015 Kent Innovations in Academia Award Leadership : Director, ENIGMA Center for Worldwide Medicine ($11M NIH) Director, AI4AD ($18M NIH Initiative) Founder, India ENIGMA Initiative

• Neuroanatomy
• Connectomics
• Neural circuits
• +۵ مورد دیگر

Professor Hong Wei Dong is a faculty member in the Department of Neurobiology at the David Geffen School of Medicine, University of California Los Angeles (UCLA). His research focuses on creating comprehensive connectome maps of the C57Bl/6 mouse brain to understand functional network organization and behavioral output mechanisms. He integrates Connectomics Genetics 3D high-resolution imaging Artificial intelligence to explore the fundamental architecture of the central nervous system. Key research directions include: Classification of mouse brain/spinal cord cell types through anatomic, molecular, and physiological properties Development of microscopy/histological technologies for human brain mapping at axonal resolution Application to neurodegenerative disease models (Alzheimer’s, Huntington’s) Recent publications highlight his work on: Visceromotor cortex networks High-resolution brain atlases Thalamic subnetworks Neuronal diversity analysis Advanced image processing tools Transsynaptic tracing methodologies Awardeeship highlights: Suzanne Eaton Memorial Prize Taylor M. Brown Memorial Award His lab develops scalable technologies like Gossamer for petabyte-scale image processing and Morphohub for multi-morphometry generation, while maintaining affiliations with UCLA Brain Research & Artificial Intelligence Nexus (B.R.A.I.N.) and NIH T32 training grants.

Paul Barboneمشاهده پروفایل

استاد

• Theoretical Mechanics
• Biomechanical Imaging
• Inverse Problems
• +۷ مورد دیگر

Paul Barbone is a Professor in the Department of Mechanical Engineering at Boston University, with an affiliation to the Division of Materials Science & Engineering. He holds a PhD from Stanford University. His research focuses on theoretical and computational mechanics, acoustics, medical imaging, and inverse problems, with applications in biomechanical imaging and elastography. He has contributed to advancements in finite element methods, scattering theory, and multiple scales analysis. His honors include Fellowships from the American Institute for Medical and Biological Engineering (2018) and the Acoustical Society of America (2007). His work spans computational mechanics, inverse problems, and biomedical applications, with notable contributions to quantitative elasticity imaging and nonlinear tissue mechanics.