جست‌وجوی استاد و پژوهشگر

Jesse Snedekerمشاهده پروفایل

استاد

• Language Acquisition
• Cognitive Psychology
• Psycholinguistics
• +۷ مورد دیگر

Jesse Snedeker is a Professor in the Department of Psychology at Harvard University, within the Faculty of Arts and Sciences. Their research investigates the cognitive and linguistic mechanisms underlying language acquisition and processing in children, with a particular focus on naturalistic contexts and developmental trajectories. Education: University of Washington, B.A., 1994 University of Pennsylvania, M.A., 1996 University of Pennsylvania, Ph.D., 1999 Dr. Snedeker's research centers on psycholinguistics and cognitive development, especially how children learn language through interaction, context, and prediction. Their work integrates behavioral, electrophysiological (EEG), and eye-tracking methodologies to explore lexical processing, syntactic generalization, and semantic integration in both typical development and autism. A strong emphasis is placed on naturalistic paradigms and real-world language input. The recent publications reflect a cohesive research program examining language acquisition through meta-analytic, experimental, and methodological lenses. Themes include the role of caregiver input, form- and meaning-based prediction, cascaded processing in production, and innovative data collection techniques like webcam eye-tracking. The work spans cognitive psychology, developmental science, and neuroscience, often employing advanced tools to study real-time language use in children. Scientific Awards: No awards listed in the provided text. Dr. Snedeker leads the Snedeker Lab at Harvard, mentoring graduate and undergraduate researchers involved in studies on language and cognition in autism and typical development. Their lab conducts both in-person and online studies, contributing to foundational knowledge in language acquisition. While specific grants are not mentioned, the breadth and technical sophistication of the research suggest sustained funding support. Future work appears to be advancing naturalistic methods and deepening understanding of interactive language learning.

Elika Bergelsonمشاهده پروفایل

دانشیار

• Language Acquisition
• Infant Cognitive Development
• Word Learning
• +۱۴ مورد دیگر

Elika Bergelson is an Associate Professor in the Department of Psychology at Harvard University, where she leads the Bergelson Lab (BLAB) within the Laboratory for Developmental Studies. Her research investigates how infants learn language from their surrounding linguistic, visual, and social environments. She previously held faculty positions at Duke University and the University of Rochester, and her work bridges developmental psychology, cognitive science, and linguistics. PhD in Psychology, University of Pennsylvania (2013) Postdoctoral Researcher, University of Rochester (2013–2014) Research Assistant Professor, University of Rochester (2014–2016) Assistant/Associate Professor, Duke University (2016–2022) Associate Professor, Harvard University (2023–present) Her research focuses on early lexical development, particularly how infants comprehend words before they can speak. She is best known for identifying the “comprehension boost” — a rapid improvement in word understanding around 12–14 months. Using eye-tracking, EEG, corpus analysis, and behavioral methods, her lab explores how sensory input, social interaction, and language exposure shape learning. She also studies language development in blind and deaf/hard-of-hearing infants to understand the role of sensory modalities in acquisition. The recent articles reflect a strong focus on naturalistic language input, cross-linguistic comparisons, and developmental mechanisms. Themes include the impact of parental talk, the relationship between tonal language experience and music processing, and the structure of early vocabularies. Her work increasingly incorporates large-scale data and cross-cultural collaboration, as seen in her PNAS and Science publications. Scientific Awards: NIH Early Investigator Award FABBS Early Career Award Bergelson mentors students and researchers at all levels and is committed to open science, sharing data via HOMEBANK, Databrary, and GitHub. She actively engages in science communication, with media features in the NIH Director’s Blog, BBC, ABC Australia, and Harvard Gazette. Her lab emphasizes diversity, equity, and inclusivity in both research participation and training. The Bergelson Lab is part of Harvard’s Laboratory for Developmental Studies and continues the SEEDLingS project’s legacy while expanding into new domains like atypical development and cross-linguistic studies.

Ana Antonic-Bakerمشاهده پروفایل

عضو هیئت علمی

• Stem Cell Biology
• Neuroscience
• Epilepsy
• +۳ مورد دیگر

Ana Antonic-Baker is a Senior Research Fellow at the Department of Neuroscience, Monash University, focusing on stem cell biology, neuroscience, and epilepsy research. She holds past positions including Research Fellow at the University of Melbourne (2016–2018), Research Officer at the Florey Institute (2013–2015), and earlier roles at Genesis Research & Development and the Liggins Institute. Her work contributes to UN Sustainable Development Goals related to health and well-being. Her research expertise includes developing in vitro disease models for neurological disorders (e.g., stroke), systematic reviews of human and animal studies, and multidisciplinary approaches to epilepsy mechanisms. She leads and collaborates on projects such as drug-resistant epilepsy treatments and Homer1 gene mutation studies. She is an editorial board member for Systematic Reviews and BMJ Open Science , and actively participates in conferences on systematic reviews and epilepsy. Key awards include the 2022 Dept Collaborative Seed Grant and recognition as an ASSCR delegate at Science & Technology Australia’s 2025 Science Meets Parliament event. Her work emphasizes evidence integration, precision medicine, and translational neuroscience.

Nao Tsuchiyaمشاهده پروفایل

استاد

• Consciousness
• Neuroscience
• Attention
• +۶ مورد دیگر

Professor Nao Tsuchiya is a neuroscientist at Monash University's Turner Institute for Brain & Mental Health, specializing in consciousness studies. He holds a PhD in Computation and Neural Systems from Caltech and a Bachelor's in Science from Kyoto University. His research explores the neural basis of consciousness, attention, and qualia, employing methods like neuroimaging (EEG/MEG/fMRI), psychophysical experiments, and mathematical frameworks (category theory, quantum cognition). Current projects include the Dreamscape Project (neurophysiology of dreams), analyzing multi-channel neurophysiological data, and testing quantitative theories of consciousness. He also leads the 'Lifting the Veil' project on visual perception disorders and serves as an editorial board member for Neuroscience of Consciousness . His work addresses fundamental questions about consciousness in animals, machines, and humans, contributing to UN Sustainable Development Goals. Education PhD in Computation and Neural Systems, California Institute of Technology (2000-2005) Bachelor in Science, Kyoto University (1996-2000) Research Interests His lab investigates: Neuronal correlates of conscious/non-conscious processing Consciousness vs attention mechanisms Quantitative theories of consciousness (e.g., Integrated Information Theory) Qualia structure mapping via mathematical models Cross-modal perception and emotion Grants & Projects Leads/co-leads 15+ research projects including: Australian Research Council-funded Dreamscape Project (2024-2027) NHMRC Equipment Grant for neural stimulation technology (2023-2024) Adversarial testing of consciousness theories (2021) Awards & Recognition While no explicit awards are listed, his work has been referenced in multiple Wikipedia pages and news outlets, indicating academic impact. Labs & Teams Runs the Tsuchiya Lab at Monash with active collaborations across disciplines (psychology, physics, computer science), focusing on experimental and theoretical approaches to consciousness.

Dawei Zhangمشاهده پروفایل

مدرس

• Cognitive Enhancement
• Educational Neuroscience
• Cognitive Development
• +۳ مورد دیگر

Dawei Zhang is a Lecturer at the Malaysian Jeffrey Cheah School of Medicine and Health Sciences, Monash University. His research focuses on cognitive enhancement, educational neuroscience, and cognitive development. He holds a PhD in Neuropsychology/Psychophysiology from the University of Wollongong (2014-2018) and a Post-Doctoral Fellowship in Developmental Cognitive Neuroscience from Karolinska Institutet (2018-2021). Research interests include non-invasive brain stimulation for executive function improvement, ADHD interventions using behavioral/EEG data, and AI-driven educational feedback. Key methods involve machine learning, EEG, longitudinal studies, and computational modeling. He has published widely on ADHD treatment variations, music-based neurocognitive mechanisms, and cross-cultural cognitive development. Awards: 40 Years of Research Impact Award (2015) for ADHD drug-free approaches. Activities: Guest editor for Frontiers in Psychiatry (2022-2023), peer reviewer for Swiss National Science Foundation (2023). Media: Featured in a 2023 article on remote ADHD interventions.

Nesma HOUMANIمشاهده پروفایل

مدرس

• Biomedical Engineering
• Signal Processing
• Neuroscience
• +۵ مورد دیگر

Nesma HOUMANI is a Lecturer at Telecom SudParis, part of the SAMOVAR research team. Her work focuses on biomedical signal processing, neuroimaging, and biometric authentication systems. She has contributed to Alzheimer’s disease detection via EEG analysis, gait quality measurement for neurological disorders, and neurofeedback applications for cognitive enhancement. Education: PhD in Biomedical Signal Processing (2011) from National Institute of Telecommunications (Institut National de Télécommunications) Research Interests: EEG-based diagnostics for neurological disorders Biometric systems (online signatures, gait analysis) Neurofeedback and neuromodulation Machine learning for medical signal analysis Recent Article Trends: Her recent work (2020-2025) emphasizes clinical applications of signal processing in Alzheimer’s detection, gait deviation measurement for hemiparesis patients, and neurofeedback for cognitive reserve enhancement in the elderly. Collaborations span interdisciplinary teams in neuroscience, engineering, and medicine. Patents: "Method for generating information about the production of a handwritten, hand-affixed or printed trace" (US 11989979B2, 2024) "Identity verification method using handwritten signatures on digital sensors" (EP3942442, 2022) Grants & Labs: Active in SAMOVAR’s projects on biomedical signal analysis and neurotechnology. Involved in multidisciplinary initiatives like the BV2 wellbeing project for chronic disease patients.

Martin Pudlikمشاهده پروفایل

استاد

• Renewable Energy Economics
• Energy Policy
• GIS Modeling
• +۳ مورد دیگر

Prof. Martin Pudlik is a Professor of Renewable Energy Economics at Technische Hochschule Bingen since 2016. He holds a Dr. rer. nat. from RWTH Aachen University, focusing on economic area analysis using GIS and multivariate statistical methods. His research emphasizes energy policy, renewable energy integration, and regional development. Educations: Master of Science in Economic Geography (RWTH Aachen University) Diplom in Business Administration & Economics (Fernuniversität Hagen/RWTH Aachen) Doctorate in Economic Area Analysis using GIS (RWTH Aachen University) His work spans GIS modeling, energy market design, and renewable energy policy. Key projects include contributions to the Electricity Market Lead Study (BMWi) and the ASEAN Energy Outlook. He has held teaching roles at Cranfield University, RWTH Aachen, and the University of Freiburg. Recent publications address energy security in Asia, intercontinental electricity exchanges, and renewable energy deployment in North Africa. His research often intersects with regional cooperation (e.g., Gobitec, Asian Supergrid) and policy frameworks for sustainable development. Grants & Projects: ESON/EU: Low-Carbon Territories BMWi: EEG Market Design Study Egypt Energy Master Plan (KfW) Labs/Teams: Active at the Fraunhofer Institute for Systems and Innovation Research ISI, focusing on energy policy and markets.

• Consciousness Studies
• Cognitive Neuroscience
• Sleep Deprivation Effects
• +۳ مورد دیگر

Anikó Kusztor is a Postdoctoral Research Fellow at Monash University, Australia, specializing in consciousness studies. She holds a PhD from Monash University and prior degrees from Eötvös Loránd University and the University of Oslo. Her research focuses on understanding how subjective experience transforms under conditions like sleep deprivation, dissociation, and dreaming, employing EEG and neuroimaging techniques. She is affiliated with Tlab (Qualia Structure Research) and M3CS (Monash Mind Modelling and Computational Systems), contributing to interdisciplinary projects on consciousness and open science. Education: BSc Psychology (Eötvös Loránd University), MSc Cognitive Neuroscience (University of Oslo), PhD (Monash University) Her work bridges cognitive neuroscience, clinical research, and computational modelling. Recent studies include investigations into color perception, arousal mechanisms, and the neural basis of dissociative disorders. She actively participates in journal clubs and conferences, promoting collaborative research in consciousness science. Articles highlight her contributions to understanding color qualia structures, the role of cardiac activity in age-related neural signals, and the neurobiology of grief. Her work emphasizes interdisciplinary approaches, integrating experimental and computational methods.

Axel Thielscherمشاهده پروفایل

استاد

• Neuroscience
• Biomedical Engineering
• Medical Physics
• +۳ مورد دیگر

Axel Thielscher is a Magnetic Resonance Professor and Head of Section at the Department of Health Technology Magnetic Resonance Neurophysics, Technical University of Denmark (DTU). His research focuses on neuroimaging, non-invasive brain stimulation, and computational modeling of electric fields in the brain. He leads projects on transcranial magnetic stimulation (TMS), transcranial direct current stimulation (tDCS), and tumor treating fields (TTFields). His work integrates clinical applications with advanced MRI techniques and computational simulations. Research interests include electric field modeling for brain stimulation, neuroimaging methodology, and translational neuroscience. He collaborates internationally on guidelines for concurrent TMS-fMRI and clinical trials of neurostimulation therapies. His lab develops open-source tools like SimNIBS for electric field simulations and MRI-based dosimetry. Recent articles emphasize optimizing TMS coil positioning, validating electric field simulations, and exploring neural mechanisms underlying stimulation effects. He advises multiple PhD students and has contributed to over 155 publications, including work on magnetic resonance current density imaging and personalized head modeling.

• Stress effects on cognition
• Psychophysiology
• Neuroergonomics
• +۴ مورد دیگر

Dr. Mauro Larrá is a researcher at the Leibniz Institute for Working Environment (IfADo) in Dortmund, Germany, where he leads the Stress & Work Design Research Group. His work focuses on the interplay between stress physiology and cognitive function, utilizing neuroimaging and psychophysiological methods to investigate stress-induced neural changes and attentional modulation. Current Affiliation: IfADo (since 2018) Previous Positions: Post-Doc at University of Trier (2015-2018), Research Associate at University of Trier (2012-2015) Education: Dr. rer. nat. (summa cum laude) in Psychology from University of Trier (2015), Diploma in Psychology (University of Trier, 2009) His research spans stress neuroscience, cognitive psychophysiology, and neuroergonomics, with recent publications examining stress effects on visuospatial attention, EEG alpha asymmetry in stress regulation, and cardioafferent interactions. Key methodologies include mobile EEG applications, cytokine analysis, and neural network-based artifact correction. Contact: larra@ifado.de Research Themes Chronic stress consequences and biomarkers Cardiac-cognitive interactions Neuroergonomics for workplace assessment Stress-induced immune system modulation Neural oscillations in attention control

• Medical Image Analysis
• Computer Vision
• Biomedical Imaging
• +۶ مورد دیگر

Constantino Carlos Reyes-Aldasoro is a Professor in the Department of Electrical and Electronic Engineering within the School of Mathematics, Computer Science and Engineering at City, University of London. With an active research career spanning over two decades, he maintains a prolific publication record with recent contributions in 2025 across multiple disciplines including medical image analysis, computer vision, and biomedical engineering. His research interests focus on Medical Image Analysis, Computer Vision, Biomedical Imaging, Cancer Research, and Image Processing. His work bridges engineering and medical sciences, developing computational methods for biomedical applications. He has made significant contributions to tumor microenvironment modeling, vascular analysis, and electropalatography studies. Analysis of his recent publications reveals a strong emphasis on deep learning applications in medical imaging, with particular focus on cancer diagnostics, vascular analysis, and neuroimaging. His research demonstrates consistent methodological innovation in image processing techniques applied to biomedical problems, with publications spanning from fundamental algorithm development to clinical applications. Professor Reyes-Aldasoro has mentored numerous researchers, with several co-authors appearing consistently across multiple publications as likely students and postdoctoral researchers including C. Karabağ, J.A. Solis-Lemus, and M.A. Ortega-Ruiz. His work demonstrates interdisciplinary collaboration across engineering, computer science, medicine, and biology, reflecting the increasingly interconnected nature of modern biomedical research. He maintains active research programs with recent publications indicating ongoing projects in AI implementation in medical imaging, tumor modeling, and cardiovascular analysis.

Britta Westnerمشاهده پروفایل

استادیار

• Language and memory intersection
• Language and vision intersection
• Visual processing from retina to cortex
• +۵ مورد دیگر

Britta Westner is an Assistant Professor and researcher at the Donders Institute and Radboud University Medical Center (Radboudumc) in Nijmegen, the Netherlands. She works in the Department of Medical Neuroscience and serves as an Associate Investigator and Collaborator in the Lab of Vitória Piai, focusing on language production and memory research. Her academic journey spans Radboud University, Aarhus University, and the University of Konstanz. Her educational background includes: PhD in Neuroscience (2017) from University of Konstanz MSc in Psychology (2013) from University of Konstanz BSc in Psychology (2011) from University of Konstanz Westner's research centers on the intersection of language and memory , with complementary interests in language and vision interactions . Her expertise spans visual processing from retina to cortex and specializes in source reconstruction methods and MEG decoding for electrophysiological data. As a core developer of MNE-Python since 2019 , she actively promotes open-source neuroscience tools. Her methodological innovations are evident in publications addressing beamforming techniques, functional connectivity assessment, and predictive language processing. Her publication record reveals a dual trajectory: advancing M/EEG analysis methodologies while exploring cognitive neuroscience questions. Recent work demonstrates particular strength in developing robust approaches for source reconstruction, functional connectivity analysis, and decoding neural representations during language tasks, often bridging technical innovation with substantive cognitive questions. Her scientific recognition includes: Marie Curie Postdoctoral Fellowship (EU Horizon 2020 scheme, 2020-2022) Core developer role in MNE-Python (since 2019) Westner actively contributes to neuroscience education through teaching workshops on MEG/EEG data analysis and MNE-Python. She developed comprehensive teaching resources including source reconstruction pipelines in FieldTrip specifically for language and dyslexia research. Her Marie Curie Fellowship supported research on visual anticipation and memory at the Donders Institute, though progress was impacted by the COVID-19 pandemic. She maintains close collaboration with the Lab of Vitória Piai at the Donders Institute, where she has developed specialized analysis pipelines and teaching materials. Her GitHub repositories demonstrate active contributions to open-source neuroscience tools, with particular focus on making MEG/EEG analysis more accessible through well-documented workflows and educational materials.

• Biomedical Imaging
• Artificial Intelligence
• Clinical Trials
• +۴ مورد دیگر

Shaun Frost is a Senior Researcher at the Commonwealth Scientific and Industrial Research Organisation (CSIRO), focusing on ocular biomarkers for neurodegenerative diseases and medical imaging technology development. He holds a PhD in Psychiatry and Clinical Neurosciences from the University of Western Australia, along with advanced degrees in Applied Mathematics and Signal Processing from the University of Adelaide. PhD (Ophthalmology and Vision Science), University of Western Australia (2014) M.Sc. (Signal and Information Processing), University of Adelaide (2006) B.Sc. (Hons) (Applied Mathematics), University of Adelaide (2000) B.Sc. (Physics and Mathematics), Flinders University (1998) His research explores advanced imaging techniques for early Alzheimer's disease detection through retinal analysis, including AI-driven diagnostic systems. This work has demonstrated potential for identifying Alzheimer's pathology 20 years earlier than current methods. He also develops portable retinal cameras used in remote health settings and space missions. Scientific awards include NHMRC Research Fellowship (2016-2019), WAiTTA Merit Award (2018), Best Presentation at NNIDR Australian Dementia Forum (2017), and multiple industry awards. His publications span biomedical imaging, AI applications, and ocular diagnostics for systemic diseases like diabetes and hypertension.

• Cognitive Neuroscience
• Self-Consciousness
• Multisensory Integration
• +۵ مورد دیگر

Jane Aspell is a Professor of Cognitive Neuroscience at Anglia Ruskin University (ARU), affiliated with the Faculty of Science and Engineering and the School of Psychology, Sport and Sensory Science. She serves as Director of Postgraduate Research and REF Convenor for UoA 4 (Psychology, Psychiatry & Neuroscience). Aspell joined ARU in 2011 after postdoctoral positions at École Polytechnique Fédérale de Lausanne (EPFL), Goldsmiths College (London), and the University of Oxford. She holds a PhD in Neuroscience from the University of Newcastle and an MA in Biological Sciences from the University of Oxford. Her research investigates how multisensory bodily signals form the neurobiological basis of self-consciousness. Using EEG, behavioral experiments, and psychophysical methods, she studies bodily self-perception in neurotypical individuals, autistic populations, and chronic pain patients. Key interests include the integration of exteroceptive (visual/tactile) and interoceptive (e.g., cardiac) signals, and how these processes underpin higher-order self-concepts. Aspell co-leads the Body and Self Research Group within ARU's Centre for Mind and Behaviour. A review of her recent publications (2020-2024) reveals dominant themes in interoception, body image disorders, autism, and cross-cultural psychology. Her work consistently bridges clinical applications (fibromyalgia, pelvic pain) with fundamental questions about self-consciousness, employing innovative neurophysiological methods and cross-disciplinary collaborations. Finalist: Researcher of the Year (2024 Cambridge Independent Science Awards) Best PhD Supervisory Team Award (2023 & 2021) Vice Chancellor’s Award for Doctoral Supervision (2022) Faculty Research Award (2022) Vice Chancellor’s Innovation Award (2021) She actively supervises PhD candidates (e.g., Phaedra Longhurst, Azeezat Aminu) and has mentored 8+ students to completion. Major grants include a Leverhulme Trust Award (£153K, 2022), Versus Arthritis Pain Challenge (£190K, 2020), and Bial Foundation grants (2021, 2014). She directs the Self & Body Lab, pioneering VR/EEG studies on bodily self-consciousness.

• MRI Physics
• Multimodal Neuroimaging
• Brain Tumor Imaging
• +۷ مورد دیگر

N. J. Shah is a JARA-Professor and Professor of Neurology at RWTH Aachen University , Germany, where he also serves as Director of the Institute of Neuroscience and Medicine – Medical Imaging Physics (INM-4) . His research focuses on MRI physics , multimodal neuroimaging , and ultra-high-field brain imaging . PhD in Physics, University of Manchester (1987) Diploma in Advanced Studies in Science (1984) BSc in Physics, University of Sheffield (1983) Research Interests N. J. Shah specializes in developing advanced MRI techniques for quantitative and functional brain imaging, with applications in neuro-oncology, precision psychiatry, and metabolic imaging. His work bridges physics , neuroscience , and clinical medicine , particularly in multimodal imaging (MR-PET-EEG) and ultra-high-field MRI (7T/9.4T). He has pioneered methods for resting-state network mapping and water content quantification in neurological disorders. Publications Shah's research spans neuroimaging technology , brain tumor diagnostics , and clinical applications of MRI . His 2022 work on quantitative water content atlases and ultra-high-resolution resting-state networks highlights his focus on image data science and neuroinformatics . Earlier papers (2001-2017) established foundational methods in T1 mapping and multimodal neuroimaging . Scientific Awards Shah has received the Veski Award (2015), an Honorary Doctorate from Georgian Technical University (2015), and the ISMRM Outstanding Teacher Award (2013). He holds prestigious fellowships , including the Royal Society of Chemistry (2019), Royal Society of Medicine (2018), and Institute of Physics (2003). Collaborative Leadership As co-director of the Jülich-Aachen Research Alliance (JARA-Brain) and director of INM-4 and INM-11 at Forschungszentrum Jülich, Shah leads interdisciplinary teams in advancing neuroimaging physics and clinical applications . His career spans academia (Monash Institute of Medical Engineering, University of Dortmund) and industry roles in medical equipment development.