جست‌وجوی استاد و پژوهشگر

• Speech Science
• Phonetics
• Language Revitalization
• +۳ مورد دیگر

Dr Chris Carignan serves as Programme Director for the Language Science MSc at University College London's Division of Psychology and Language Sciences within the Faculty of Brain Sciences. His research focuses on the intricate mechanisms of human speech production, particularly through cross-linguistic phonetic studies and articulatory dynamics using advanced imaging technologies. PhD in Speech Science Specializes in the intersection of language heritage and phonetic research Develops innovative methodologies for speech data collection and analysis His work spans multiple areas including nasal coarticulation , real-time MRI of vocal tract movements , and cross-linguistic phonetic analysis . He has contributed significantly to understanding how speakers produce complex speech sounds across different languages through comparative studies. Dr Carignan's research has led to the development of open-source tools for speech production analysis and pioneered new approaches for ultrasound articulography . His work on vowel nasalization and sibilant contrasts has been particularly influential in speech science. As Programme Director, he oversees a comprehensive curriculum that provides students with methodological training , statistical expertise , and hands-on research experience while allowing specialization through optional modules. His teaching philosophy emphasizes the importance of curiosity-driven research and interdisciplinary approaches in advancing language sciences.

Xiaobo Liمشاهده پروفایل

استاد

• Neuroscience
• Medical Imaging
• Machine Learning Applications in Neurology
• +۳ مورد دیگر

Xiaobo Li is a Professor in the Department of Bio-Medical Engineering at New Jersey Institute of Technology. Holding a Ph.D. in Computer Aided Geometric Design from the University of Birmingham and a B.S. in Automation from Nanjing University of Aeronautics, their research bridges computational methods with neuroimaging and psychiatric disorder analysis. Ph.D., University of Birmingham (Computer Aided Geometric Design, 2004) B.S., Nanjing University of Aeronautics (Automation, 1999) Dr. Li’s work focuses on applying machine learning and graph theory to understand brain network abnormalities in conditions like ADHD , schizophrenia , and traumatic brain injury . Their studies analyze structural-functional connectivity , reward processing , and gut-brain axis interactions using fMRI , fNIRS , and diffusion tensor imaging . Recent publications highlight their development of tools like the GAT-FD MATLAB toolbox for brain network analysis and their exploration of multimodal MRI in schizophrenia diagnosis. They also investigate the neurobiological effects of photobiomodulation and vision therapy interventions.

Leonid Goubergritsمشاهده پروفایل

استاد

• Cardiovascular Modeling
• Computational Fluid Dynamics (CFD) in Medicine
• Hemodynamics
• +۱۰ مورد دیگر

Leonid Goubergrits is a Professor of Cardiovascular Modeling and Simulation at the Einstein Center Digital Future and Charité – Universitätsmedizin Berlin . With a background in applied mathematics and physics from the Moscow Institute of Physics and Technology, he has dedicated his career to applying computational fluid dynamics (CFD) to cardiovascular medicine since immigrating to Germany in 1995. His work bridges fundamental research and clinical applications, aiming to integrate numerical models into everyday medical practice to enhance diagnostics and reduce invasiveness. Doctorate at Technische Universität Berlin (2000) Habilitation at Technische Universität Berlin (2016) His research spans blood flow modeling in coronary vessels, cerebral aneurysms, heart valves, and the aorta, alongside artificial organ development and blood damage modeling . He leads a research group at Charité and the German Heart Center Berlin, focusing on patient-specific simulations and their translation to clinical settings. Recent publications highlight his work on deep learning integration for hemodynamic analysis, 4D Flow MRI validation , and medical device optimization using computational models. His team’s research includes virtual therapy planning for aortic valve replacements, hemolysis modeling , and pulmonary artery pressure sensors . Leonid actively contributes to education, redesigning TU Berlin’s Fluid Mechanics in Medicine curriculum and fostering interdisciplinary collaboration between engineers, physicians, and computer scientists. His vision emphasizes the digital transformation of medicine through computational modeling and simulation.

Jed Elisonمشاهده پروفایل

استاد

• Developmental social neuroscience
• Structural brain development and social cognition
• Visual attention
• +۶ مورد دیگر

Jed Elison is the Irving B. Harris Professor of Child Development and Distinguished McKnight University Professor at the University of Minnesota’s Institute of Child Development. His research focuses on developmental social neuroscience, structural brain development, and early autism detection. BA in Psychology and English (2005), University of Utah PhD in Psychology (2011), University of North Carolina-Chapel Hill Postdoc in Social Neuroscience (2013), California Institute of Technology Elison’s work examines how attentional orienting drives early cognitive and social development using eye tracking and neuroimaging (MRI, DWI). Key areas include autism , emerging psychopathology , and white matter microstructure . Recent studies model longitudinal trajectories in ASD and explore social-emotional competence. His 2025 articles address infant brain imaging datasets, gesture-vocabulary relationships in autism, and adaptive functioning in corpus callosum agenesis. Collaborative work spans Developmental Science , Pediatrics , and Autism Research . Irving B. Harris Professor of Child Development Distinguished McKnight University Professor Elison advises PhD students in the Cognition and Neurodevelopmental Studies (CNS) Lab, collaborating with Dr. Megan Swanson. The CNS Lab investigates infant brain-behavior associations, particularly in high-risk populations like those with corpus callosum agenesis or congenital CMV . Techniques include MRI , EEG , and behavioral assessments.

David V. Smithمشاهده پروفایل

دانشیار

• Neuroeconomics
• Decision Neuroscience
• Social Neuroscience
• +۴ مورد دیگر

David V. Smith is an Associate Professor of Psychology and Neuroscience at Temple University's College of Liberal Arts, directing the Neuroeconomics Laboratory. His work bridges neuroscience, psychology, and economics to investigate neural mechanisms underlying social and economic decision-making. Department: Psychology and Neuroscience Email: david.v.smith@temple.edu Research interests focus on neuroeconomics , reward processing , social neuroscience , and brain connectivity . Key questions include how humans compare rewards, build trust in group settings, and why decision-making varies across individuals. Recent publications highlight reward circuit abnormalities in depression , corticostriatal interactions , and age-related changes in neural trust mechanisms . His interdisciplinary approach integrates neuroimaging (fMRI), behavioral economics, and computational modeling. The lab actively recruits graduate students (PhD in Cognition & Neuroscience or Social Psychology) and supports undergraduate researchers. Opportunities include participation in studies with monetary compensation and collaboration via GitHub, Twitter, and Open Science Framework platforms.

Peter J. Kohlerمشاهده پروفایل

استادیار

• Visual Neuroscience
• Mid-Level Vision
• Perceptual Organization
• +۹ مورد دیگر

Peter J. Kohler is an Assistant Professor in the Department of Biology within the Faculty of Science at York University, Toronto. He is eligible to supervise graduate students in the Biology Graduate Program and leads the Kohler Visual Neuroscience Lab, which is part of the Centre for Vision Research at York University. His research lies at the intersection of cognitive neuroscience and visual perception, focusing on mid-level visual processing. This involves understanding how the brain, within the first few hundred milliseconds of visual input, constructs representations of shape, motion, location, and perceptual organization—including figure-ground segregation, grouping, and constancy. His work integrates functional MRI (fMRI) , electroencephalography (EEG) , and visual psychophysics to probe the neural mechanisms underlying these processes in humans. Recent publications reveal a strong focus on symmetry processing, perceptual grouping, numerical estimation, and multisensory integration. His work often involves advanced neuroimaging techniques and collaborative international research, particularly with teams in Belgium and Luxembourg. The articles span high-impact journals such as PNAS , Nature Communications , Current Biology , and Journal of Vision , indicating a robust and influential research program in visual neuroscience. Scientific Awards and Funding: NSERC Discovery Grant (awarded April 2020) VISTA Research Grant (funded June 2023) Prof. Kohler actively mentors students, including graduate students such as Rachel Moreau, Sara Chaparian, Yara Iskandar, Shaya Samet, and Shenoa Ragavaloo, as well as undergraduate researchers. His lab has presented at major conferences including the Vision Sciences Society (VSS) and the Lake Ontario Visionary Establishment (LOVE), where he joined the organizing committee in 2024. The Kohler Visual Neuroscience Lab also develops experimental tools, as evidenced by GitHub repositories for stimulus generation and behavioral testing using jsPsych.

• Visual Neuroscience
• Cognitive Neuroscience
• Functional MRI (fMRI)
• +۵ مورد دیگر

Lars Muckli is a Professor of Visual and Cognitive Neurosciences at the University of Glasgow and serves as the Director of fMRI at the Centre for Cognitive Neuroimaging (CCNI). He is also the Co-chair of the 7T-Imaging Center of Excellence (ICE) MRI, where he has pursued two decades of research in functional MRI and multi-modal brain imaging. Research Focus: Muckli specializes in cortical feedback mechanisms, particularly layer-specific processing in the visual cortex. His work bridges visual perception, cognitive neuroscience, and neuroimaging methodology, with recent studies exploring contextual feedback, predictive coding, and neural dynamics during navigation. Editorial Contributions: He holds significant editorial roles, including Chief Editor for Perception Science at Frontiers in Neuroscience, Associate Editor for Brain Imaging Methods, and Review Editor for Brain Health and Clinical Neuroscience. These positions underscore his influence in advancing neuroimaging research and open science practices. Collaborations: Muckli collaborates across disciplines, contributing to studies on consciousness, clinical neuroscience, and neural computation. His lab focuses on understanding how the brain generates internal models and processes contextual and mnemonic information via feedback signals.

Delphine Périé-Curnierمشاهده پروفایل

استاد

• Biomedical Technology
• Biomechanics
• Solid Mechanics
• +۶ مورد دیگر

Delphine Périé-Curnier is a Full Professor in the Department of Mechanical Engineering at Polytechnique Montréal and Director of Graduate Studies. Her research focuses on developing quantitative MRI techniques for non-invasive characterization of living tissue mechanical properties, particularly in cardiotoxicity detection and musculoskeletal mechanobiology . She leads the Bioperformance Analysis and Innovation Laboratory (LIAB) and contributes to the Institute of Biomedical Engineering. Education: Ph.D. from Paul Sabatier University, Toulouse, France Her work bridges medical imaging , biomechanical modeling , and finite element analysis to predict disease progression through pathomechanism understanding. Key projects include exercise-induced cardiac changes in childhood cancer survivors and spinal biomechanics in scoliosis. Recent publications (2023-2024) emphasize cardiovascular MRI for childhood cancer survivorship and hemodynamic modeling in left ventricle analysis. She supervises 26 graduate students, with completed theses spanning topics like doxorubicin cardiotoxicity , knee replacement stability , and spatial cardiac MRI protocols . Teaching includes graduate courses in biomedical design , advanced biomechanics , and modeling techniques .

Douglas Nollمشاهده پروفایل

استاد

• Biomedical Engineering
• Radiology
• Magnetic Resonance Imaging
• +۹ مورد دیگر

Douglas Noll is the Ann and Robert H. Lurie Professor in the Department of Biomedical Engineering at the University of Michigan , with additional appointments as Professor of Radiology and affiliate of multiple research institutes including the Michigan Alzheimer’s Disease Research Center, Michigan Neuroscience Institute, and Michigan Institute for Imaging Technology and Translation (MIITT). He co-directs the Functional MRI Laboratory and leads the NeuroImaging Core at the Michigan Alzheimer’s Disease Research Center. Prof. Noll’s research focuses on MRI technology development , particularly for functional MRI (fMRI) . His group specializes in high-speed MRI acquisition , signal processing , and image reconstruction to map brain function. Key areas include artifact elimination , physiological modeling , and quantitative imaging for neurological and psychiatric disorders. Recent collaborations apply MRI to histotripsy therapy monitoring. The 15 most recent articles reflect his work in dynamic MRI reconstruction , artifact correction , and cross-vendor protocol standardization . Topics span B0 shimming , histotripsy targeting , and non-Cartesian sampling , emphasizing spatiotemporal modeling and machine learning integration for accelerated imaging. Scientific Awards : Ann and Robert H. Lurie Professor. Research Collaborations : Functional MRI Laboratory, Michigan Alzheimer’s Disease Research Center, Michigan Institute for Imaging Technology and Translation (MIITT).

• Biostatistics
• Environmental Dose-Response Modeling
• Quantitative Risk Assessment
• +۷ مورد دیگر

Paul J. Catalano is a Senior Lecturer in the Department of Biostatistics at the Harvard T.H. Chan School of Public Health. He is affiliated with the Dana-Farber Cancer Institute, where he serves as a statistician for clinical trials and collaborates on cancer research. His research focuses on biostatistical methods for analyzing multiple outcomes and repeated measures in environmental dose-response modeling, quantitative risk assessment, and neurotoxicity studies. He also develops software for implementing modeling algorithms and investigates experimental design in low-dose risk estimation. Recent publications highlight collaborations in immunotherapy for urothelial carcinoma radiation therapy for brain metastases pediatric neuroblastoma treatment AI-driven MRI segmentation . Dr. Catalano's work extends to clinical trials in colorectal, genito-urinary, and breast cancer, with emphasis on prognostic factor identification and translational research.

Adam John Priviteraمشاهده پروفایل

پژوهشگر ارشد

• Cognitive Science
• Educational Policy
• Bilingualism and Cognition
• +۴ مورد دیگر

Adam John Privitera is a Research Fellow at Nanyang Technological University (Singapore) in the Centre for Research and Development in Learning (CRADLE). He holds a PhD in cognitive science from the University of Hong Kong's Faculty of Education. His research focuses on bilingualism's cognitive impacts, particularly language experience on decision-making and executive function, and applies neuroscience findings to education policy. He has authored publications in top journals like Higher Education and Bilingualism: Language and Cognition, and serves on editorial boards for Trends in Neuroscience and Education and Frontiers in Psychology. Previously, he served as a Medical Sergeant in the U.S. Army (2002–2012), Psychology Instructor/Program Chair (2011–2016), AP Psychology Teacher (2016–2021), and Assistant Professor of Psychology in China (2021–2023). Research interests include: 1) Translating cognitive/neural science into educational practices; 2) Language experience effects on cognitive control; 3) Neuroeducational markers for learning. His work bridges experimental psychology with real-world educational challenges, emphasizing bilingualism's role in cognitive reserve and academic integrity. Recent articles highlight systematic reviews on generative AI in education assessment, bilingualism's holistic cognitive effects, and neural mechanisms of learning. His research methodologies include ERP studies, eye-tracking, and neuroimaging. Privitera also explores AI's ethical implications in aphasia therapy and mental health monitoring among university students. His career spans military service, teaching, and academic research, reflecting a multidisciplinary approach to education and cognition.

John Hughesمشاهده پروفایل

دانشیار

• Biostatistics
• Health Data Science
• Statistical Computing
• +۶ مورد دیگر

John Hughes, PhD, is an Associate Professor and Chair of the Department of Biostatistics and Health Data Science at Lehigh University's College of Health. With nearly 30 years of experience in higher education, he has held positions at institutions including Frostburg State University, the University of Minnesota, and Pennsylvania State University. His methodological research focuses on statistical models for dependent data, Bayesian methods, and spatial and spatiotemporal analysis. He has developed numerous software packages for R and Perl, including copCAR , ngspatial , and krippendorffsalpha . Dr. Hughes' interdisciplinary work spans environmental health, bioimaging, vaccine hesitancy, and spatial epidemiology of HPV-related cancers. He has consulted for organizations such as the Courage Kenny Research Center and Temple University. His education includes a PhD in Statistics from Penn State University and an MS in Applied Computer Science from Frostburg State University. His research emphasizes statistical computing and the application of advanced models to health data. Recent work includes methodologies for agreement coefficients, environmental noise measurement, and spatial analysis of vaccination refusal patterns. Dr. Hughes teaches courses in biostatistics, data science, and programming, reflecting his dual role as a teacher-scholar. Professional contributions include software development, collaborative research projects, and academic leadership. His work bridges computational innovation and real-world health challenges, positioning him as a key figure in modern biostatistical research.

Richard D. Laneمشاهده پروفایل

استاد

• Neuroscience
• Psychiatry
• Psychology
• +۵ مورد دیگر

Richard D. Lane is a Professor at the University of Arizona, holding appointments in Psychiatry, Psychology, and Neuroscience. He is a clinical psychiatrist and psychodynamic psychotherapist with a Ph.D. in Experimental Psychology, specializing in systems neuroscience and emotion research. Dr. Lane is a pioneer in functional brain imaging studies of emotion since the 1990s and has secured multiple NIH grants, including K and RO1 awards. Ph.D., Experimental Psychology, University of Arizona (1999) M.D., University of Illinois Abraham Lincoln School of Medicine (1978) B.A., Yale University (1974) His research integrates systems neuroscience with psychological frameworks to study emotion, emotional awareness, neurovisceral integration, and the mind-body link in conditions like Long QT Syndrome and Coronary Artery Disease. He has published over 200 papers and co-edited two books, including Neuroscience of Enduring Change: Implications for Psychotherapy (Oxford University Press, 2020). Recent publications focus on socio-emotional skills, affective processing deficits in alexithymia, neurovisceral integration, and the clinical relevance of emotional awareness. His work employs PET, fMRI, and graph-theoretic analyses to explore brain-heart interactions and memory-emotion dynamics. Distinguished Scientist Award, American Psychosomatic Society (2024) President, American Psychosomatic Society (2005–2006) Distinguished Life Fellow, American Psychiatric Association Fulbright-Freud Visiting Lecturer in Psychoanalysis (2023) Howard E. Wulsin Excellence in Teaching Award (2014) As an educator, Dr. Lane directed the University of Arizona’s psychotherapy curriculum for psychiatric residents for two decades and has mentored extensively. He collaborates with institutions like the International Neuropsychoanalysis Society and Southwest Psychoanalytic Society.

Linnea Hesseمشاهده پروفایل

استاد

• Plant Biomechanics
• Wood Physics
• Biomimetics
• +۳ مورد دیگر

Professor Linnea Hesse serves as Head of Department and Head of Research Unit Wood Physics at the University of Hamburg's Faculty of Mathematics, Computer Science and Natural Sciences, Department of Biology, Institute of Wood Sciences. Her research focuses on the biomechanical properties of plant structures, particularly examining how plant form relates to function with applications in biomimetic engineering. Her research interests span plant biomechanics, wood physics, and biomimetics, with particular expertise in advanced imaging techniques for studying plant structures. Dr. Hesse specializes in using magnetic resonance imaging (MRI), micro-computed tomography (µ-CT), and light microscopy to analyze plant tissues, especially in large and opaque specimens that present challenges for conventional imaging methods. Her work bridges botanical science with engineering applications, seeking to understand plant structure-function relationships that can inspire bio-inspired design. Analysis of her publications reveals a consistent focus on plant biomechanics and imaging techniques, with particular emphasis on seed dispersal mechanisms, vascular bundle organization in climbing plants, and methodological approaches for studying plant structures. Her research demonstrates strong interdisciplinary collaboration, particularly with Thomas Speck and colleagues at the Plant Biomechanics Group in Freiburg. Dr. Hesse leads the Wood Physics research unit at the University of Hamburg, where her team investigates plant structural properties with applications in biomimetic design. Her laboratory work combines advanced imaging techniques with biomechanical analysis to understand how plant structures function in their natural environments and how these principles can be translated into engineering solutions.

• 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).