جست‌وجوی استاد و پژوهشگر

Gabriele Grattonمشاهده پروفایل

استاد

• Brain Function
• Brain Activity
• Event-related Optical Signal
• +۷ مورد دیگر

Gabriele Gratton is a Professor in the Department of Psychology and Neuroscience Program at the University of Illinois Urbana-Champaign, and serves as a Theme Lead at the Beckman Institute for Advanced Science and Technology. With over 178 research outputs, Gratton has established a distinguished career in cognitive neuroscience with a focus on brain function, aging, and neuroimaging techniques. Gratton's research interests center around brain function and activity , particularly using Event-related Optical Signal (EROS) and other neuroimaging methods. Key areas include optical imaging , aging effects on cognition , event-related brain potentials , and cerebrovascular health . Much of their work investigates how vascular health, fitness, and aging interact to affect brain structure and cognitive performance across the lifespan. The research portfolio shows a strong trend toward multimodal neuroimaging approaches, with recent work focusing on trimodal brain imaging techniques that simultaneously investigate human brain function. There's also significant emphasis on understanding how physical activity and fitness impact cognitive aging, white matter integrity, and cerebrovascular health. Association for Psychological Science Fellow (2006) Foundation of Augmented Cognition Award (2005) President of Society for Psychophysiological Research (2009) SPR Award for Distinguished Contributions to Psychophysiology (2019) SPR Early Career Award (1997) Gratton has received extensive recognition for their work, with publications being picked up by news outlets and shared across social media platforms. Their research has been referenced by numerous scholars, with several papers accumulating significant reader attention on academic platforms like Mendeley. Much of this work is conducted through the Beckman Institute, where Gratton leads research themes focused on advanced brain imaging and cognitive neuroscience.

Heidi Johansen-Bergمشاهده پروفایل

استاد

• Neuroscience
• Cognitive Neuroscience
• Neuroplasticity
• +۳ مورد دیگر

Heidi Johansen-Berg is Pro-Vice Chancellor (Strategic Initiatives) at the University of Oxford and Associate Head (Research and Innovation) in the Medical Sciences Division. She holds a Professorship in Cognitive Neuroscience and a Wellcome Principal Research Fellowship at the Nuffield Department of Clinical Neurosciences, where she leads the Plasticity Group at the Oxford Centre for Functional MRI of the Brain (FMRIB). Her research centers on neuroplasticity mechanisms in the sensorimotor system, with emphasis on white matter plasticity, activity-dependent myelination, and implications for stroke rehabilitation and age-related brain decline. She integrates multimodal neuroimaging with behavioral studies to investigate how the brain adapts to learning, experience, and damage, translating findings into therapeutic interventions for neurological conditions. Recent publications reveal strong thematic trends in sleep-motor interactions post-stroke, exercise-induced neuroprotection in aging and adolescence, and experience-dependent white matter remodeling. Her work demonstrates how physical activity modulates brain structure-function relationships across the lifespan, with direct applications for neurorehabilitation protocols. Scientific recognition includes: Fellow of the Royal Society (FRS) Fellow of the Academy of Medical Sciences (FMedSci) Wellcome Principal Research Fellowship Professor Johansen-Berg directs the WIN Plasticity Group and co-leads the WIN Neuroplastics Network and Oxford University Centre for Integrative Neuroimaging (OxCIN). Her research program drives translational initiatives in stroke recovery and brain health maintenance, with ongoing projects examining digital sleep therapies, myelin dynamics, and exercise neuroscience through large-scale clinical trials and advanced imaging methodologies.

Leanna Hernandezمشاهده پروفایل

استادیار

• Neuroimaging in Autism Spectrum Disorders
• Genetics of Psychiatric Disorders
• Sex Differences in Brain Development
• +۵ مورد دیگر

Leanna Hernandez, Ph.D., is Assistant Professor-in-Residence in the Department of Psychiatry and Biobehavioral Sciences at the David Geffen School of Medicine, University of California, Los Angeles. She directs the Hernandez Lab and can be reached at leannahernandez@ucla.edu . Her research integrates multimodal neuroimaging with large-scale genetics to uncover mechanisms underlying autism spectrum disorders, sex differences in brain development, and the role of immune–neurodevelopment pathways such as the complement system. Core themes include: Mapping how common genetic variation shapes brain structure and function across development. Identifying neural signatures that explain the female protective effect in ASD. Elucidating interactions between sleep physiology and brain maturation in youth. Across more than 40 peer-reviewed publications (2012-2023) she has leveraged data from the Adolescent Brain Cognitive Development (ABCD) Study, the GENDAAR Consortium, and multiple international biobanks, generating insights into white-matter microstructure, functional connectivity, and transcriptomic correlates of psychiatric traits. Scientific collaborations span UCLA, UC San Diego, University of Queensland, and the Busselton Health Study, reflecting an interdisciplinary approach that combines neuroimaging, genomics, lipidomics, and behavioral phenotyping. Dr. Hernandez’s laboratory website ( hernandezlabucla.org ) provides further resources, although specific trainees, grants, and awards are not detailed in the supplied text.

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.

• Immunopsychiatry
• Neuroimaging
• Psychiatry
• +۵ مورد دیگر

Professor Neil Harrison is a Clinical Professor in Neuroimaging at Cardiff University's School of Medicine, leading the Immunopsychiatry Research Group at CUBRIC and the Haydn Ellis Building. He previously established the UK's first Clinical Immunopsychiatry Service in Sussex. His expertise spans neuroimaging, psychiatry, and immunology, focusing on how immune systems interact with brain function in mental illnesses like depression and Alzheimer’s. He holds grants from the MRC, Wellcome Trust, and Janssen Pharmaceutics. Education: PhD in Neuroscience from UCL’s Wellcome Trust Centre for Neuroimaging, psychiatry training at the Maudsley Hospital and National Hospital for Neurology, Queen Square. Research interests include neuroinflammation’s role in mental health, with a focus on translational approaches like wearable technology for early disease detection. He chairs the Psychoneuroimmunology Research Society and advises the Wellcome Trust’s Clinical Interview Committee. Grants and collaborations include work on imaging brain inflammation, chronic fatigue mechanisms, and translational immunopsychiatry. His lab investigates neuroimaging biomarkers and clinical applications of immunological insights in mental health.

• Nanotechnology
• Materials Science
• Memristive Systems
• +۳ مورد دیگر

Dr.-Ing Alexander Vahl is a Researcher at the Technical Faculty of Kiel University, leading the subgroup Nanoparticles for Nanocomposites . He specializes in advanced materials science, focusing on nanoparticle synthesis, functional thin films, and neuromorphic engineering. His research bridges nanotechnology with applications in memristive systems and plasmonics, emphasizing strain-invariant conductors and photocatalytic growth mechanisms. Key projects include developing self-assembled nano-object networks for brain-inspired computing and optimizing gas aggregation cluster sources for novel material fabrication. His work spans disciplines such as memristive switching, plasmonic metasurfaces, and bio-inspired electronics. Notable contributions include studies on silver/polymer nanofluids, ITO-TiO₂ heterojunctions, and multicomponent nanoparticle synthesis. Vahl collaborates with the Chair for Functional Nanotechnology, leveraging interdisciplinary expertise to advance materials innovation. His articles highlight advancements in neuromorphic systems, photocatalytic deposition, and thin-film technologies. The research emphasizes scalability and real-world applications, such as energy-efficient sensors and hybrid zinc batteries. Vahl’s subgroup webpage and extensive publications reflect a commitment to pushing boundaries in nanomaterials engineering.

Jiaxiang Zhangمشاهده پروفایل

استاد

• Artificial Intelligence
• Machine Learning
• Cognitive Neuroscience
• +۲ مورد دیگر

Jiaxiang Zhang is Professor of Artificial Intelligence in the Department of Computer Science at Swansea University's Faculty of Science and Engineering. He holds a PhD in Computational Neuroscience from the University of Bristol and previously held positions at the University of Birmingham, MRC Cognition and Brain Sciences Unit (Cambridge), and Cardiff University where he founded the Cognition and Computational Brain Lab. Zhang's research integrates computational modeling, machine learning, brain imaging (MEG/EEG/fMRI), and experimental approaches to study human cognition, aging, and neurological disorders. Key focus areas include: Neural mechanisms of decision-making and problem-solving Computational models of cognitive processes AI applications in healthcare diagnostics and neuroimaging Brain network dynamics in neurological conditions Recent publications emphasize deep learning models for neural data, multimodal brain connectivity, decision-making impairments in Parkinson's disease, and neuroinformatics tools. His work shows strong clinical translation through epilepsy biomarker development and emergency department outcome prediction. Zhang has led research grants from ERC, MRC, BBSRC, and Wellcome Trust. As primary investigator for multiple projects, he oversees significant computational neuroscience initiatives. He is available for postgraduate supervision.

• Tumor Microenvironment
• Magnetic Resonance Imaging (MRI)
• Quantitative Imaging Biomarkers
• +۵ مورد دیگر

Professor Sungheon Gene Kim holds a faculty position at the Weill Cornell Medicine Graduate School of Medical Sciences within the Department of Radiology . His research focuses on quantitative MRI methodology for oncological applications , particularly in breast cancer and head and neck cancer . Kim's lab develops advanced dynamic contrast-enhanced MRI (DCE-MRI) and diffusion MRI (dMRI) techniques to assess tumor microenvironment and treatment response . Key research areas include: Tumor vascular properties via 3D UTE-GRASP MRI Cellular microstructural analysis through POMACE framework Adipose-tissue cancer interaction via MR spectroscopic imaging His lab has received continuous funding from the National Cancer Institute (R01CA219964, UG3/UH3CA228699, R01CA160620). Recent publications demonstrate technical advancements in ultrafast MRI reconstruction , deep learning-enhanced perfusion analysis , and multi-parametric tumor characterization . Collaborations with the National Institutes of Health Quantitative Imaging Network have produced novel cellular water exchange rate measurements that correlate with patient survival outcomes .

• Surface Chemistry
• Plasmonic Materials
• Surface Plasmon Resonance
• +۷ مورد دیگر

Jean-François Masson is a Full Professor in the Department of Chemistry at the Faculty of Arts and Sciences, Université de Montréal. He directs research in instrumentation, surface chemistry, and plasmonic materials, developing innovative biosensors for medical diagnostics and analysis. His work bridges analytical chemistry, nanotechnology, and artificial intelligence to create portable diagnostic devices. Position: Full Professor, Department of Chemistry Institution: Université de Montréal Research Focus: Plasmonic biosensors, surface chemistry, medical diagnostics Contact: jf.masson@umontreal.ca | 514 343-7342 Masson earned his BSc in Chemistry from Université de Sherbrooke in 2001, followed by a PhD in Analytical Chemistry from Arizona State University in 2005. He completed postdoctoral training at Georgia Tech before joining Université de Montréal's Chemistry Department in 2007. His research focuses on developing spectroscopic instruments for biomolecule analysis in medical samples through biosensors. He studies nano- and microstructure properties to enhance instrument sensitivity and surface chemistries to improve analysis selectivity in biological fluids. His plasmonic technology uses surface plasmon resonance at the intersection of analytical chemistry, nanotechnology, and artificial intelligence, employing gold thin films on chips that change color to detect the presence of antibodies like those for COVID-19. His publication trends show a consistent focus on surface plasmon resonance applications, with increasing emphasis on portable diagnostic devices, clinical applications, and integration with artificial intelligence. His work spans fundamental plasmonic material science to practical medical diagnostics, particularly in chemotherapy monitoring and infectious disease detection. 7 patents filed or granted for innovations in instrumentation, surface chemistry, and plasmonic materials License granted to Rose Street Labs (2005) Numerous research grants from NSERC, FRQNT, CIHR, and other major funding agencies Professor Masson has supervised over 20 graduate students (PhD and MSc) since joining Université de Montréal. His research has attracted significant funding, including multiple NSERC Discovery Grants, FRQNT team projects, and collaborations with hospitals for clinical validation of his diagnostic technologies. He leads several major research initiatives including projects on plasmonic optophysiology, chemical biology of sugars, and portable sensors for inflammation markers. His research is conducted through multiple units including the Thin Film Physics and Technology Research Group (GCM), the Neural Signaling and Circuitry Research Group (SNC), and the Interdisciplinary Research Center on Brain and Learning (CIRCA). He also contributes to the Oncopole, a research, development, and investment hub accelerating cancer fight efforts.

• Experimental Mechanics
• Mechanical Engineering
• Optical Interferometry
• +۳ مورد دیگر

Luigi Bruno is an Associate Professor of Machine Design at the Department of Mechanical, Energy and Management Engineering (DIMEG), University of Calabria. He has held this position since 2014, following 12 years as an Assistant Professor at the same institution and Visiting Professorships at IIT Gandhinagar (2012), University of Alabama at Birmingham (2013-2017), and Free University of Bozen-Bolzano (2021). 1999 : Master's in Mechanical Engineering, University of Calabria (110/110 cum laude) 2003 : PhD in Mechanical Engineering, University of Pisa His research interests span: Experimental Mechanics : Pioneering speckle interferometry for micro-displacement measurement and residual stress analysis. Materials Science : Elastic characterization of anisotropic materials, biomedical applications of soft substrates, and 3D-printed composites. Biomedical Engineering : Mechanical behavior of biological tissues, ocular biomechanics, and dental implant material testing. Recent research trends focus on: Integrating artificial muscles into rehabilitation devices Advancing full-field optical measurement via microCT/DVC Optimizing 3D printed polymer adhesion for industrial components Exploring neuronal biomechanics on soft surfaces Scientific contributions include: CS2007A00010 patent for dual-focus speckle interferometers Deputy Editor of Optics and Lasers in Engineering (2019-present) Guest Editor for special issues on optical methods in experimental mechanics and nanobiotechnology Academic leadership extends to coordinating Mechanical Engineering committees (2021-present), serving on editorial boards, and organizing international conferences like AIAS National Conference (2018). He has secured multiple MIUR research grants and industry collaborations with Alfagomma, 3DNA, and Ferrovie della Calabria. His laboratory, Mechanics of Materials and Structures , supports both research and teaching activities with advanced optical measurement systems and computational tools for mechanical design.

• Neuroscience
• Neuroimaging
• Magnetoencephalography (MEG)
• +۷ مورد دیگر

Krish Singh is a Professor and Head of Human Electrophysiology at Cardiff University's School of Psychology. He holds a BSc from Durham University and a PhD from the Open University. As a leader at the Cardiff University Brain Research Imaging Centre (CUBRIC), he drives multimodal neuroimaging research, focusing on MEG/EEG methodologies for clinical and cognitive neuroscience. His work spans epilepsy, schizophrenia, and Alzheimer’s disease, including studies on electrophysiological genetic risk markers. His research bridges physics and neuroscience, emphasizing non-invasive brain imaging (MRI/MEG) to explore neural mechanisms in health and disease. Key interests include: Cortical oscillations and neurophysiological biomarkers Genetic influences on brain networks in psychiatric disorders Multimodal integration of MEG with MRI/PET data Clinical applications in neurodegeneration and epilepsy Publications demonstrate consistent focus on neurophysiology, schizophrenia, Alzheimer’s, and methodological innovations in MEG analysis. Trends include genetic risk modeling, pharmacological modulation of neural oscillations, and longitudinal biomarker discovery. He leads the undergraduate module Introduction to Neuroimaging Methods and Applications , covering MRI, fMRI, EEG/MEG, TMS, and clinical applications. As a supervisor, he supports postgraduate projects in neuroimaging and collaborates internationally via the MEG-UK Partnership to standardize MEG methodologies. He directs research at CUBRIC and collaborates with Cardiff's Neuroscience and Mental Health Innovation Institute, fostering cross-disciplinary studies with medicine and biosciences.

Job J.A.M. van der Palenمشاهده پروفایل

استاد

• Chronic Obstructive Pulmonary Disease
• Pulmonary Medicine
• Clinical Epidemiology
• +۷ مورد دیگر

Job J.A.M. van der Palen is a Full Professor in Cognition, Data and Education at University of Twente, with a long-standing external position as Clinical Epidemiologist at Medisch Spectrum Twente (MST) since June 1, 1993. His academic career spans over three decades with substantial research output including 528 publications, 16,222 citations, and an h-index of 60. He maintains an active research profile with 13 publications already in 2025, demonstrating continued scholarly engagement. Dr. van der Palen's research interests focus on chronic respiratory diseases, particularly Chronic Obstructive Pulmonary Disease (COPD) and asthma management. His work extends to eHealth interventions, randomized controlled trials methodology, and more recently, breast cancer research and delirium detection in elderly cardiac patients. His fingerprint analysis reveals strong expertise in Patient Medicine and Dentistry (100%), Inpatient Medicine (53%), COPD (50%), and Obstructive Lung Disease (37%). His recent publications (2024-2025) demonstrate a clear trend toward interdisciplinary research combining medical domains with data science approaches. There's a notable focus on personalized medicine through intensive longitudinal data analysis, AI-supported systematic reviews, and eHealth interventions for chronic disease management. His work bridges clinical practice with data-driven approaches, particularly evident in studies on COPD exacerbation action plans, pediatric asthma management, and advanced detection methods for postoperative complications. Best oral presentation MST Wetenschapsdag 2023 (as contributor) Dr. van der Palen has supervised 20 students' work according to institutional records, with recent activities including program committee membership for the Medisch Spectrum Twente Wetenschapsdag 2023. His research network spans multiple institutions, with significant collaborations in the Netherlands and internationally, particularly in respiratory medicine and clinical epidemiology. He has contributed to numerous randomized controlled trials and cohort studies focusing on chronic disease management and patient outcomes. His current research activities involve multiple teams working on COPD management (RE-SAMPLE cohort study), pediatric asthma (CIRCUS study), and breast cancer research. The Brain Pro-TCT study demonstrates his involvement in innovative approaches to postoperative care for elderly patients. His work with AI-supported screening methods indicates engagement with cutting-edge data analysis techniques in medical research.

Ivett Orsolya Bacskayمشاهده پروفایل

استادیار

• Analytical Chemistry
• Separation Science
• Chromatography
• +۱۱ مورد دیگر

Dr. Ivett Orsolya Bacskay is an Assistant Professor at the Department of Analytical and Environmental Chemistry, Institute of Chemistry, Faculty of Science, University of Szeged. Her research focuses on fundamental and applied aspects of separation science, particularly in liquid chromatography, with expertise in retention mechanisms, mass transfer, and stationary phase characterization. Research Interests: Her work spans several key areas in analytical chemistry, including hydrophilic interaction liquid chromatography (HILIC), size-exclusion chromatography, chiral separations, pore size distribution analysis, and molecular imprinting for artificial antibody development. She investigates both theoretical models and practical applications in chromatographic systems. An analysis of her recent publications (2010–2025) reveals a strong emphasis on improving chromatographic efficiency and understanding molecular interactions in separation processes. Her studies frequently address challenges in hold-up volume determination, overloading effects, and mass transfer in various stationary phases, contributing significantly to the advancement of HPLC and LC-MS methodologies. Scientific Awards: No awards mentioned in the provided text. Advising and Grants: While specific details about students or funded projects are not listed, her active research output and faculty position suggest involvement in mentoring graduate students and securing research support. She has contributed to interdisciplinary studies involving neuropharmacology and plant biochemistry, indicating collaborative research efforts. Labs and Teams: Dr. Bacskay is part of the Institute of Chemistry at the University of Szeged, where she conducts research within the Department of Analytical and Environmental Chemistry. Her work likely involves collaboration with analytical chemistry research groups focusing on method development, column technology, and environmental or pharmaceutical analysis.

• Computational Neuroscience
• Neurobiology
• Visual Cortex
• +۳ مورد دیگر

Mario Dipoppa is an Assistant Professor in the Department of Neurobiology at the University of California, Los Angeles. His research focuses on computational neuroscience, cortical adaptation, and neural circuit dynamics. Position: Assistant Professor, Neurobiology Email: mdipoppa@g.ucla.edu Research Interests: Mario's work explores how neural populations in the visual cortex adapt to sensory input, with a particular emphasis on the interplay between neural oscillations, synchrony, and cognitive functions like working memory. His recent studies investigate optimal coding strategies in visual adaptation, contextual modulation mechanisms, and the role of transcriptomic diversity in cortical interneuron function. Publications Trends: His research spans computational modeling of cortical networks, visual neuroscience, and neurogenetic analyses of brain circuits. Early work (2013-2016) focused on working memory mechanisms and neural oscillations, while recent studies (2022-2025) emphasize visual cortex adaptation, population coding, and cross-species circuit comparisons.

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.