جست‌وجوی استاد و پژوهشگر

Peter Dechentمشاهده پروفایل

پژوهشگر

• Neurology
• Neuroimaging
• Magnetic Resonance Imaging (MRI)
• +۳ مورد دیگر

Peter Dechent is the Head of the Research Group 'MR-Research in Neurology and Psychiatry' at the Medical Faculty of the University of Göttingen. His work focuses on combining functional MRI with non-invasive brain stimulation techniques like TMS and tDCS to study brain networks in healthy and pathological conditions. He holds a diploma in Biology and a Dr.rer.nat. from the University of Göttingen, with postdoctoral research at the Max Planck Institute for Biophysical Chemistry. Education: 1991-2001: Studies in Biology at the University of Mainz 1998-2001: Doctoral thesis at the Max Planck Institute for Biophysical Chemistry 2001-2003: Postdoc at the Biomedical NMR Research Lab Research Interests: Functional MRI integration with brain stimulation Hemodynamic processes underlying BOLD signals Application of advanced MRI techniques (structural MRI, DTI, MRS) Publications focus on neuroimaging applications in neurology and psychiatry, with recent emphasis on stimulation-induced brain activity modulation and reward system dysfunction in depression. Collaborations include studies on primate neuroimaging and genetic disorders using MRS. Awards: None explicitly listed. Lab Affiliation: Department of Cognitive Neurology (University Medical Center Göttingen). Active in GGNB programs in Systems Neuroscience and Molecular Medicine.

• Neuroscience
• Visual Cortex
• Neural Circuits
• +۴ مورد دیگر

Kristina Nielsen is an Associate Professor of Neuroscience at Johns Hopkins University School of Medicine and a researcher at the Zanvyl Krieger Mind/Brain Institute. She investigates the function, development, and plasticity of higher-level visual cortex circuits. PhD, Max Planck Institute for Biological Cybernetics (Germany) Postdoctoral work at Salk Institute (2006-2012) with Ed Callaway and Rich Krauzlis Her research focuses on: Structure-function relationships in higher visual cortex Neural mechanisms of object recognition Developmental plasticity of visual circuits Two-photon microscopy applications in primates Viral vector-based circuit analysis Key article trends include primate visual cortex organization, motion and shape integration, and cortical development mechanisms. She has contributed to journals like Nature , Neuron , and Journal of Neuroscience . Scientific awards: CNRS 2025 bronze and silver medals Current lab members include graduate researchers Dallas Khamiss, Emmanuel Osikpa, and Brandon Nanfito. Her team has received ANR funding for projects like 'Earlier stages of development of the motion pathway' and 'Encoding of 2D and 3D shape in primate V4.'

• Neuroscience
• Neuroimaging
• Brain Structure and Function
• +۳ مورد دیگر

Dr. Gabriele Radnikow is a Researcher at the Institute of Neuroscience and Medicine (INM) within the Research Center Jülich , Germany. She is affiliated with the JARA Institute Brain structure-function relationships (INM-10) , located at Building 15.22, Room 2011 in Jülich. Her research focuses on understanding the structural and functional relationships in the brain, leveraging advanced neuroimaging and computational methods. Key areas of interest include brain organization, neuroanatomy, and the interplay between brain structure and cognitive processes. Her work contributes to interdisciplinary efforts in neuroscience, aiming to bridge gaps between anatomical insights and functional brain dynamics. While specific publications are not detailed here, her affiliation with JARA—a collaborative initiative between Forschungszentrum Jülich and RWTH Aachen University—suggests involvement in cutting-edge, team-based projects. No awards, grants, or advisees are explicitly listed in the provided information. Her role emphasizes research within the institute’s infrastructure, contributing to advancements in medical neuroscience and imaging technologies.

Susanne Wenzelمشاهده پروفایل

پژوهشگر ارشد

• Artificial Intelligence
• Remote Sensing
• Machine Learning
• +۳ مورد دیگر

Dr. Susanne Wenzel is a Research Fellow at the Structural and Functional Organisation of the Brain (INM-1) within the Forschungszentrum Jülich GmbH. She serves as the Scientific Coordinator for the Helmholtz AI Local Unit at INM-1 and the Jülich Supercomputing Centre (JSC), fostering collaboration with the Helmholtz-wide AI platform. Additionally, she leads the Helmholtz International BigBrain Analytics and Learning Laboratory (HIBALL), a partnership with McGill University’s Montreal Neurological Institute and the Mila Quebec AI Institute. Her work focuses on advancing AI and high-performance computing for neuroimaging, particularly in developing 3D brain models through interdisciplinary research with CIFAR and MILA. Her research expertise spans artificial intelligence, remote sensing, and image analysis, with a strong emphasis on machine learning applications in environmental science, neuroscience, and urban scene understanding. She coordinates projects that integrate cutting-edge technologies to address complex challenges in climate modeling, neuroimaging, and spatial data analysis. Dr. Wenzel’s contributions include pioneering work in neural networks for ocean eddy tracking, sea level anomaly prediction, and facade image interpretation. Her projects emphasize interdisciplinary collaboration, combining computational methods with domain-specific knowledge across multiple institutions globally. Her current initiatives reinforce the utilization of AI and supercomputing resources to enhance scientific discovery, particularly in neuroscience through HIBALL. This collaboration aims to leverage advanced analytics for detailed brain model development, reflecting her commitment to bridging computational innovation with real-world applications.

Minjeong Kimمشاهده پروفایل

دانشیار

• Biomedical Image Analysis
• Machine Learning
• Deep Learning
• +۵ مورد دیگر

Minjeong Kim is an Associate Professor and Interim Department Head in the Department of Computer Science at The University of North Carolina at Greensboro (UNCG), serving as a CAS Dean's Fellow. She holds a Ph.D. from Ewha Womans University, Korea, with postdoctoral research at the Biomedical Research Imaging Center (BRIC) at UNC Chapel Hill and the University of Pennsylvania. Her research focuses on biomedical image analysis, deep learning applications in neurodegenerative diseases, and computational neuroscience. Education includes a Ph.D., M.S., and B.S. in Computer Science and Engineering from Ewha Womans University. Professional experience includes roles as a Research Fellow at Ewha Womans University and visiting researcher at the University of Pennsylvania's Department of Radiology. Research interests emphasize graph neural networks for brain connectivity analysis, Alzheimer’s disease diagnosis via machine learning, and multimodal medical imaging techniques. Her work bridges computational methods with clinical applications, particularly in uncovering disease mechanisms through advanced imaging analysis. Her recent articles highlight innovations in graph representation learning, tau protein propagation modeling, and functional MRI analysis. She maintains a lab at Moore Building 301A and teaches graduate courses in software engineering and computer vision.

Seung-Goo Kimمشاهده پروفایل

پژوهشگر

• Neuroscience
• Cognitive Science
• Music Psychology
• +۴ مورد دیگر

Dr. Seung-Goo Kim is a Postdoctoral Researcher at the Max Planck Institute for Empirical Aesthetics (since 2021), working under Prof. Daniela Sammler. His career spans postdoctoral roles at Duke University, University of Cambridge, and MPI for Human Cognitive and Brain Sciences, with a PhD in Psychology from University of Leipzig (2017, summa cum laude). He holds graduate degrees in Cognitive Science and dual BA in Economics/Psychology, with early training in Musical Composition. PhD: University of Leipzig & MPI for Human Cognitive and Brain Sciences Postdoc: Duke University (USA), University of Cambridge (UK) Current affiliation: Max Planck Institute for Empirical Aesthetics, Frankfurt/Main His research focuses on the neural encoding of music and speech , particularly: shared mechanisms of musical emotion and prosody; intersubject variability in musical reward sensitivity; temporal structure processing; pitch perception correlates; and applications in clinical neuroscience. Key methodologies include MEG, fMRI, and computational modeling of auditory systems. Major scientific awards include: Johanna Quandt Young Academy Fellowship (2023) Postdoc Research Grant Award (Duke University, 2021) Summa cum laude PhD (2017) Conference Scholarship (Mariani Foundation, Italy, 2014) Best Poster Presentation Award (Korean Society of Human Brain Mapping, 2010) His work includes collaborations with leading labs in neuroaesthetics , music cognition , and clinical neuroscience , with recent publications analyzing tonal hierarchy, dissonance encoding, and myeloarchitecture of impulsivity. Current projects emphasize computational models of auditory processing and empirical aesthetics.

Armin Iskeمشاهده پروفایل

استاد

• Numerical Approximation
• Applied Mathematics
• Kernel Methods
• +۴ مورد دیگر

Prof. Dr. Armin Iske is a Full Professor of Numerical Approximation at the University of Hamburg's Department of Mathematics, within the Faculty of Mathematics, Computer Science and Natural Sciences. He holds a PhD from the University of Göttingen (1994) and habilitation from TU Munich (2002). His research focuses on numerical approximation, kernel-based methods, computational fluid dynamics, and medical imaging. He has held academic positions globally, including visiting roles at ANU (Australia) and the University of Leicester (UK). Research interests include scattered data approximation, adaptive particle methods for flow simulation, and high-dimensional data analysis. He has authored 118+ publications, including works on kernel interpolation, medical imaging reconstruction, and machine learning applications. He serves on editorial boards for journals like Advances in Computational Mathematics and Sampling Theory . His contributions span interdisciplinary projects, such as SFB/TRR 181 on energy transfer in atmosphere and ocean, and collaborations in nanotechnology for brain interfaces. His work bridges theoretical mathematics with practical applications in engineering and biosciences.

• Biomedical Signal Processing
• Decision-Making Methodologies
• Frailty Prevention in Elderly
• +۳ مورد دیگر

Aly CHKEIR is an Associate Professor at the University of Technology of Troyes (UTT), holding the 'SilverTech' chair focused on technologies for healthy aging and elderly autonomy support. He earned his PhD in biomedical sciences from the University of Technology of Compiègne (UTC) in 2011, specializing in uterine electrical activity modeling. His research emphasizes biomedical signal processing, decision-making methodologies, and applications in frailty prevention among the elderly. Education: PhD in Biomedical Sciences, UTC, France (2011). Research interests include signal segmentation/classification, biomedical engineering, and solutions for aging populations. Notable projects include the SilverTech chair's holistic approach to aging technologies and the PiCADo initiative for in-home medical monitoring systems. Recent work focuses on AI-driven diagnostics (e.g., MRI segmentation, cough analysis), radar-based mobility assessment, and voice recognition for health monitoring. His contributions span sensor fusion, gait analysis, and non-invasive health tracking tools. His lab collaborations include Doppler radar systems for gait speed measurement, thermal imaging for health indicators, and AI-enhanced geriatric assessment tools. Projects like ARPEGE and PiCADo highlight his commitment to deploying innovative healthcare solutions for aging populations.

• Neuroimaging
• Functional Magnetic Resonance Imaging
• Language
• +۷ مورد دیگر

Professor Katie McMahon is a leading academic at Queensland University of Technology (QUT), holding dual roles as Deputy Director of the Herston Imaging Research Facility and Academic Lead for Research at the School of Clinical Sciences. With a PhD from the University of Queensland, her expertise spans neuroimaging and cognitive neuroscience. Research Focus: Neurobiology of language, genetics of brain development, and neuroimaging applications in stroke, epilepsy, and pediatric language disorders (e.g., autism). Collaborations: Works with Queensland Health and philanthropic organizations on brain imaging and musculoskeletal studies. Teaching: Contributes to radiation therapy and MR-guided radiation therapy courses, emphasizing clinical sciences education. Recent Research Trends: Her work bridges neuroimaging techniques (fMRI, DTI) with cognitive deficits, exploring lexical processing, aphasia recovery, and genetic influences on brain structure. Recent studies address stroke rehabilitation, epilepsy language deficits, and fatty liver imaging protocols. Grants & Projects: Lead investigator on grants like “Predicting and Promoting Aphasia Recovery” (2016) and “Enhancing Language Learning in Ageing with Exercise” (2016). Labs/Teams: Active in the Herston Imaging Research Facility and National Imaging Facility committees.

Metin Hayri Acarمشاهده پروفایل

استاد

• Polymer Chemistry
• Materials Science
• Polymerization Techniques
• +۳ مورد دیگر

Metin Hayri Acar is a Professor of Chemistry at Istanbul Technical University. His research focuses on polymer chemistry, materials science, and advanced polymerization techniques such as ATRP and RAFT. He leads projects on nanocomposite materials, shape memory polymers, and biomedical applications. His work includes designing polymers for drug delivery, ultrafiltration membranes, and medical imaging technologies. Key projects include 'Obtaining Cheap and Easily Processable Fuel Cell Membrane from Commercial Polymers by Controlled Polymerization' (2014-2021) and 'Phantom Preparation for Microwave Breast Cancer Imaging' (2021-2022). He has published extensively in journals like Journal of Applied Polymer Science and European Polymer Journal . His research interests span copolymer synthesis, nanomaterials, and polymer-based medical solutions. Recent studies include N-alkylation ligand optimization for ATRP (2023), shape-memory PVDF copolymers (2019), and chitosan-based drug formulations for diabetes (2019). His work bridges fundamental polymer science with practical applications in healthcare and engineering. Academic contributions include over 39 research outputs and 3 major funded projects. His articles frequently address polymer morphology, electrochemical properties, and material performance under varying conditions.

• 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.

• Stem Cell Biology
• Epigenetics
• Reproductive Biology
• +۴ مورد دیگر

Myles Alderman III is a Postdoctoral Associate in the Department of Cell Biology at Yale School of Medicine, working in Dr. Haifan Lin's laboratory where he investigates the self-renewal of germline stem cells. His research bridges developmental biology, epigenetics, and reproductive medicine with a focus on understanding molecular mechanisms in embryogenesis and disease processes. His research interests span Stem Cell Biology , Epigenetics , Reproductive Biology , and Developmental Biology , with particular expertise in DNA methylation dynamics, germline development, and the pathogenesis of endometriosis. His work examines how environmental factors like Bisphenol-A (BPA) impact embryonic development through epigenetic mechanisms. Awarded the prestigious Gruber Science Fellowship, NSF GRFP, and Lo Graduate Fellowship for Excellence in Stem Cell Research, Alderman has established himself as a promising researcher in his field. His publications reveal a consistent trajectory exploring epigenetic regulation in development and disease, with recent work focusing on N6-methyladenine in DNA and its role in early development. Gruber Science Fellowship at Yale National Science Foundation's Graduate Fellowship Research Fellowships Program (NSF GRFP) Lo Graduate Fellowship for Excellence in Stem Cell Research His collaborative research extends across Yale's reproductive biology community, working with prominent investigators including Dr. Hugh Taylor on endometriosis and Dr. Andrew Xiao on epigenetic regulation during his doctoral studies. Currently, his work in the Lin laboratory continues to advance our understanding of stem cell self-renewal mechanisms with implications for regenerative medicine and developmental disorders.

Hadi T. Niaمشاهده پروفایل

استادیار

• Mechanobiology
• Tumor Microenvironment
• Physical Sciences of Cancer
• +۳ مورد دیگر

Hadi T. Nia is an Assistant Professor in the Department of Biomedical Engineering and Division of Materials Science and Engineering at Boston University. He holds a PhD from MIT (2013) and leads the Nia Lab, focusing on mechanobiology, tumor microenvironment, and pulmonary pathogenesis. His work integrates physical sciences, molecular biology, and immunology to study cancer metastasis, aging, and lung diseases. Key innovations include the 'Crystal Ribcage' platform for ex vivo lung research, enabling real-time optical imaging and functional analysis. Research interests span mechanobiology, mechano-immunity, tumor microenvironment dynamics, and lung resilience mechanisms. Awards include the 2024 Sloan Research Fellowship, NSF CAREER Award (2023), and NIH Director’s New Innovator Award (2022). He is affiliated with the Center for Multiscale and Translational Mechanobiology (CMTM), Pulmonary Center, and Synthetic Biology programs at BU. Publications emphasize interdisciplinary approaches, with recent work addressing lung mechanics, cancer solid stress, and imaging technologies. His grants and awards reflect sustained support for mechanistic studies in disease and aging.

Fani Deligianniمشاهده پروفایل

مدرس ارشد

• Medical AI
• Human Motion Analysis
• Brain Connectivity
• +۲ مورد دیگر

Fani Deligianni is a Senior Lecturer in Computing Science at the University of Glasgow, leading the Biomedical AI and Imaging Lab. Her research develops machine learning methods for healthcare applications including medical image segmentation, human motion analysis, and privacy-preserving neurophysiological data processing. She holds a PhD in Medical Image Computing from Imperial College London. Key projects include Riemannian geometry approaches for ECG-based congenital heart disease diagnosis, federated learning frameworks for distributed medical data, and VR-based cognitive workload assessment using eye-tracking. She received an EPSRC New Investigator Award for privacy-preserving radar-based human activity recognition. Dr. Deligianni coordinates Glasgow Women in Computing (GWiCS) and supervises 13 PhD students in AI and healthcare applications.

Alex Batemanمشاهده پروفایل

مدرس

• Biomedical Engineering
• Computational Fluid Dynamics
• Mechanical Engineering
• +۴ مورد دیگر

Alex Bateman is an Associate Lecturer in the School of Engineering at the University of Newcastle, currently completing a PhD in Mechanical Engineering at UNSW. His research bridges engineering and medicine, focusing on computational fluid dynamics (CFD) modeling of cerebral vasculature in neurological conditions like Alzheimer’s, multiple sclerosis, and hydrocephalus. Education: Master of Biomedical Engineering (with Excellence), UNSW Bachelor of Engineering (Honours) in Mechanical Engineering, UNSW Research Interests: Dr. Bateman’s work integrates engineering principles with medical challenges, particularly analyzing fluid mechanics in cerebral blood flow and its role in neurological disorders. He explores how venous pressure changes affect conditions like multiple sclerosis, hydrocephalus, and idiopathic intracranial hypertension. His methods include CFD simulations, 3D printed in vitro models, and MRI data analysis. Teaching: He coordinates the MECH1750 Engineering Materials 1 course at the University of Newcastle. In 2024, he received the Sessional Academic Teaching Excellence - Highly Commended award. Grants & Projects: Principal Investigator: Vascular Connection in Multiple Sclerosis ($40,000 grant from CCSVI Australia, 2021–2024). Key Contributions: His studies on venous hemodynamics in neurological diseases have led to insights into cerebral autoregulation, glymphatic system dysfunction, and the role of anemia in intracranial pressure regulation. He also explores spaceflight-associated neuro-ocular syndrome through comparisons with terrestrial conditions like idiopathic intracranial hypertension.