جست‌وجوی استاد و پژوهشگر

Hakwan Lauمشاهده پروفایل

استاد

• Consciousness
• Metacognition
• Perceptual Reality Monitoring
• +۷ مورد دیگر

Hakwan Lau is a tenured Professor of Psychology at the University of California, Los Angeles (UCLA), where he is also a member of the Brain Research Institute. Additionally, he serves as Co-Director of the IBS Center for Neuroscience Imaging Research in South Korea, leading the Systems and Intervention Neuroscience (SIN) group. His work spans consciousness, metacognition, and perceptual reality monitoring, employing advanced neuroimaging and computational techniques. Education: Born and raised in Hong Kong, Hakwan Lau pursued graduate studies in England. He was previously an Associate Professor at Columbia University in New York before moving to UCLA, where he is now tenured. From 2017-2020, he was primarily based at the University of Hong Kong. Research Interests: Lau's lab investigates why we have subjective experiences , focusing on visual awareness, spatial attention, and metacognition. They use fMRI, decoded neurofeedback (DecNef), psychophysics, and computational modeling to explore how conscious perception arises and its clinical applications, such as treating phobias and PTSD. Research Trends: His recent work emphasizes decoded neurofeedback interventions for clinical conditions like phobias and PTSD, metacognitive mechanisms underlying confidence judgments, and neural correlates of subjective experience . The research bridges theoretical neuroscience with practical therapeutic applications, often using innovative techniques like closed-loop fMRI. Scientific Awards: While specific awards are not listed in the provided text, Lau has mentored 15 former trainees who are now independent PIs , reflecting his significant impact on the field. Advising and Grants: Lau actively advises numerous PhD students and postdocs across UCLA, the University of Hong Kong, and collaborative institutions. His lab supports projects ranging from AI-driven fMRI analysis to clinical neurofeedback trials . Labs and Teams: Lau leads the Metacognition and Consciousness Lab at UCLA, now relocated to the RIKEN Center for Brain Science near Tokyo. His team includes researchers from diverse backgrounds, focusing on interdisciplinary approaches to consciousness and metacognition.

Westley Weimerمشاهده پروفایل

استاد

• Automated Program Repair
• Software Engineering
• Programming Languages
• +۱۸ مورد دیگر

Westley Weimer is a Professor in the Department of Electrical Engineering and Computer Science (EECS) at the University of Michigan, College of Engineering. He teaches advanced courses such as EECS 590 (Advanced Programming Languages) and EECS 481 (Software Engineering), and has previously taught at the University of Virginia. His research integrates software engineering, programming languages, and cognitive science, focusing on automated program repair, program analysis, and the neuroscience of code comprehension. University: University of Michigan School: College of Engineering Department: Department of Electrical Engineering and Computer Science Academic Rank: Professor His research interests include automated program repair (e.g., GenProg), software quality, cognitive modeling of programming, neuroimaging studies of code review, and the application of medical imaging to software engineering. He explores deep questions at the intersection of consciousness, time, and computation, advocating for interdisciplinary approaches to understanding the mind through programming behavior. The most recent publications reflect a trend toward empirical and cognitive studies in software engineering, combining automated repair with human factors, neuroimaging (fMRI, TMS), and real-world software challenges. Themes include bias in code review, programming under cognitive influences, and the neurological basis of code comprehension. His work increasingly bridges computer science with psychology, neuroscience, and social science. Scientific awards include multiple Distinguished Paper Awards at ICSE, FSE, and ESEC/FSE, Best Paper and Runner-up awards, and several 10-Year Most Influential Paper Awards from ASE, GECCO, POPL, and ASPLOS, recognizing the lasting impact of his contributions to automated software repair and program analysis. He has advised numerous PhD and Master’s students, many of whom have gone on to faculty positions or industry research roles. He contributes to academic service through organizing diversity and inclusion initiatives, maintaining graduate career resources, and promoting ethical and inclusive practices in computing. He leads a vibrant research group focused on improving software quality through both technical and human-centered innovations, with ongoing projects in automated repair, cognitive modeling, and secure systems.

Zohreh Sharafiمشاهده پروفایل

استادیار

• Software Engineering
• Human Aspects of Software Engineering
• Gender Studies in Software Engineering
• +۷ مورد دیگر

Zohreh Sharafi is an Assistant Professor of Software Engineering in the Department of Computer and Software Engineering (GIGL) at Polytechnique Montréal. Previously, she served as a Senior Research Fellow in the Department of Electrical and Computer Engineering at the University of Michigan, Ann Arbor, where she worked with Dr. Westley Weimer and was awarded the prestigious NSERC Postdoctoral Fellowship. Prior to her academic career, she worked as a software engineer at Morgan Stanley, contributing to the firm's electronic trading platform and serving as principal architect of SURF, a market data simulator. Her educational background includes a Ph.D. in Computer Engineering from École polytechnique de Montréal under the supervision of Dr. Giuliano Antoniol and Dr. Yann-Gaël Guéhéneuc, a Master of Applied Science in Software Engineering from Concordia University, and a Bachelor of Computer Engineering from the University of Tehran. Dr. Sharafi leads the SENSE Lab, a multidisciplinary software engineering research laboratory focused on understanding problem-solving strategies developers use during software development, with particular attention to human factors such as gender and native language. Her research combines human-centric design with experimental methodologies, investigating cognitive processes involved in software development using biometric measures including eye tracking and neuroimaging. Current active projects include evaluating trustworthiness perceptions of software artifacts and studying the role of creativity in software engineering tasks. She has made significant contributions to understanding how gender influences program comprehension and code review processes. Her publication record demonstrates a strong focus on empirical methods in software engineering, particularly eye tracking and neuroimaging techniques to study developer cognition. Her work spans program comprehension, code review, requirements engineering, and the impact of human factors on software development processes. She has developed methodological frameworks for conducting eye tracking studies in software engineering and has made notable contributions to understanding how visualization techniques affect software development tasks. NSERC Postdoctoral Fellowship NSERC Discovery Grant Program and Launch Supplements (Sep 2024-Sep 2029) IVADO Startup & Operation Fund (Jan 2022-Jan 2023) Scholarship for Doctoral Studies from Fonds de Recherche du Quebec Distinguished Reviewer Awards from IEEE ICPC 2020 and ACM FSE 2024 Dr. Sharafi actively mentors students including Mahta Amini (PhD Candidate, IVADO Scientifique en résidence 2024 Laureate), Cameron Cherif (PhD Candidate), Sara Yabesi (Master's Student), and Anthonia Njoku (Graduate research intern). She serves on numerous conference organizing committees including as Local Arrangement Chair for SANER 2025, Program Co-chair for SEMLA 2024, and as a reviewer for top-tier journals including IEEE Transactions on Software Engineering and ACM Computing Surveys. Her research is supported by multiple grants focused on understanding human factors in software engineering through empirical methods. At Polytechnique Montréal, Dr. Sharafi directs the SENSE Lab which brings together computer scientists, cognitive scientists, and software engineering researchers to investigate the cognitive aspects of software development. The lab employs advanced methodologies including eye tracking, functional near-infrared spectroscopy (fNIRS), and functional magnetic resonance imaging (fMRI) to study how developers comprehend, navigate, and modify software systems. Current projects examine trustworthiness perceptions in code review, the role of creativity in software engineering tasks, and gender differences in software development processes.

Christopher Honeyمشاهده پروفایل

دانشیار

• Computational Neuroscience
• Cognitive Neuroscience
• Neural Dynamics
• +۳ مورد دیگر

Christopher Honey is an Associate Professor in the Department of Psychological & Brain Sciences at Johns Hopkins University, affiliated with the Krieger School of Arts & Sciences. His research focuses on computational cognitive neuroscience, exploring how the brain processes sequential information such as language and memory. He holds a PhD from Indiana University and has held positions at Princeton University and the University of Toronto before joining JHU in 2016. Education: PhD in Psychological and Brain Sciences, Indiana University Postdoctoral Fellowship at Princeton University with Uri Hasson Bachelor’s in Applied Mathematics and English Literature, University of Cape Town Research Interests: Neural dynamics of memory and perception Temporal processing in the brain Cognitive modeling using computational methods Neuroimaging data standards (e.g., BIDS) Publications highlight his work on brain state fluctuations, neuroimaging data structures, and memory enhancement. His lab develops tools for analyzing fMRI and EEG data, emphasizing real-world applications like smartphone-based cognitive interventions. Lab and Collaborations: Active projects on narrative processing and hippocampal replay Development of open-source neuroscience tools like iELVis Focus on translational research for aging populations

Burkhard Maessمشاهده پروفایل

استاد پژوهشی

• Neuroscience
• Auditory Processing
• Signal Analysis
• +۳ مورد دیگر

Dr. Burkhard Maess is a Research Professor and Group Leader at the Max Planck Institute for Human Cognitive and Brain Sciences, leading the Methods and Development Group Brain Networks. His research focuses on auditory and language processing, signal analysis, and dynamic modeling of neuronal networks. He holds a Diploma in Physics (University of Leipzig, 1987) and a PhD in Physics (University of Leipzig, 1990). His career includes postdoctoral positions at the Academy of Sciences of the GDR and the Free University of Berlin before joining the MPI in 1995. Since 2000, he has led research groups on MEG/EEG signal analysis and cortical network dynamics. His work integrates advanced neuroimaging techniques like MEG and EEG to study sensory processing, neural network dynamics, and the effects of aging on auditory attention. Key contributions include developing high-resolution BEM-FMM methods for source localization and analyzing cross-frequency coupling in neuroscience data. His group also explores spinal cord electrophysiology and the neural underpinnings of perceptual decision-making. Dr. Maess’ research spans cognitive neuroscience, biomedical engineering, and computational modeling, with a focus on bridging empirical findings with theoretical frameworks in neuroscience.

Lauren Embersonمشاهده پروفایل

دانشیار

• Developmental Psychology
• Cognitive Psychology
• Infant Perception
• +۴ مورد دیگر

Dr. Lauren Emberson (she/her/hers) is an Associate Professor in the Department of Psychology at the University of British Columbia, Faculty of Arts. She directs the Baby Learning Lab, which is part of UBC's Early Development Research Group, a consortium focused on infant and child development. Prior to her position at UBC, Dr. Emberson was an Assistant Professor at Princeton University where she co-founded and co-directed the Princeton Baby and Princeton Kid Labs. Education: Postdoctoral Associate, University of Rochester (PI Aslin) Ph.D, Cornell University (PIs Amso, Goldstein, Spivey) B.Sc, University of British Columbia Dr. Emberson's research focuses on learning, perception (audition, vision, crossmodal or multisensory), language development, face/object perception, and attention in infants. She investigates these capacities using behavioral and neuroimaging techniques, particularly fNIRS (functional near infrared spectroscopy), working primarily with very young infants (birth through 1 year) and preterm/premature infants. Her work examines how infants' learning capacities contribute to rapid development of perception in ecological contexts, with implications for understanding how early life experiences affect later outcomes. Analysis of Dr. Emberson's recent publications reveals a consistent focus on infant perception, learning mechanisms, and neuroimaging methodology. Her work increasingly incorporates advanced fNIRS techniques while maintaining focus on fundamental questions about how infants learn from their environment. There's a growing emphasis on individual differences, cross-cultural comparisons, and applications to infants facing developmental challenges. Dr. Emberson serves on the editorial board of Infancy (journal of the International Congress of Infancy Studies) and is a consulting editor for the Journal of Cognitive Neuroscience . Her research has been published in top journals including PNAS, Current Biology, Psychological Science, Cognition, Developmental Science, and the Journal of Neuroscience. Dr. Emberson has secured significant research funding from prestigious organizations including the Bill and Melinda Gates Foundation, James S. McDonnell Foundation, Natural Sciences and Engineering Research Council (NSERC), Canadian Institutes of Health Research (CIHR), and the National Institutes of Health (NIH). She collaborates with clinicians at BC Women's and Children's Hospitals to understand how different early life experiences impact learning and brain development. Dr. Emberson is currently accepting graduate students into her research program. The Baby Learning Lab, under Dr. Emberson's direction, is part of UBC's Early Developmental Research Group and collaborates with multiple institutions. The lab strives to provide interactive research experiences for infants and families while advancing scientific understanding of early cognitive development. The lab acknowledges that it operates on the traditional, ancestral, and unceded territory of the xʷməθkʷəy̓əm (Musqueam) people.

Paola (Giuli) Dussiasمشاهده پروفایل

استاد

• Bilingualism
• Psycholinguistics
• Syntactic Processing
• +۴ مورد دیگر

Paola Dussias is a Professor of Spanish, Linguistics, and Psychology at Pennsylvania State University, with affiliate appointments in the Department of Psychology and Linguistics. She holds a Ph.D. from the University of Arizona and has held positions at the University of Illinois and the University of Mississippi. Her research focuses on bilingual language processing, psycholinguistics, and code-switching, utilizing eye-tracking, EEG, and neuroimaging techniques. She leads the Dussias Brain Tracking Lab, equipped with advanced tools for language processing studies. Notable awards include the 2019 Faculty Scholar Medal and the 2012 Outstanding Faculty Adviser Award. She has mentored numerous graduate and undergraduate students, overseeing over 100 international research collaborations through NSF-funded PIRE grants. Her work bridges theoretical and applied language science, emphasizing linguistic diversity and cognitive consequences of bilingualism. Education: Ph.D. in Second Language Acquisition and Teaching, University of Arizona Affiliations: Center for Language Science, Bilingualism Matters Her research examines how bilinguals negotiate two languages in their minds, with a focus on sentence processing, code-switching, and cognitive effects. Collaborative projects include the NSF-funded PIRE grants, promoting international research on bilingualism. She has published over 80 peer-reviewed articles and mentored students in grants totaling millions of dollars. Grants: Includes $5M NSF PIRE grants and multiple Dissertation Improvement Awards Labs/Teams: Dussias Brain Tracking Lab, Center for Language Science

Steve Tanimotoمشاهده پروفایل

استاد

• Novice programming environments
• Collaborative problem-solving environments
• Technology for educational assessment
• +۱۱ مورد دیگر

Steve Tanimoto is a Professor at the Paul G. Allen School of Computer Science & Engineering at the University of Washington, with an adjunct appointment in the Department of Electrical & Computer Engineering. His work focuses on human-centered computing, particularly in educational technology and collaborative problem-solving environments. He has made significant contributions to the understanding of liveness in programming environments and their application to education, including a keynote at the International Conference on Live Coding (2015) that traced historical influences leading to widespread use of liveness in modern software environments. Dr. Tanimoto's research spans several interconnected domains: Novice programming environments and educational technology Collaborative problem-solving environments and tools Technology for educational assessment, particularly using pattern-recognition methods for teaching written language on tablets Liveness in programming environments and its applications Image processing from interdisciplinary perspectives (as detailed in his MIT Press book "An Interdisciplinary Introduction to Image Processing: Pixels, Numbers, and Programs") His recent publications demonstrate a consistent focus on the intersection of computing education, human-computer interaction, and collaborative problem-solving. A notable trend is the exploration of "liveness" in programming environments and how this concept can enhance educational experiences. His work increasingly integrates AI technologies with educational applications, particularly in the areas of writing instruction and collaborative problem-solving, with significant NIH funding support (P50 HD071764 and U54 HD083091). His notable recognition includes: VL/HCC Best Showpiece Award in 2015 for "Solving Problems by Drawing Solution Paths" Dr. Tanimoto has advised several graduate students through to completion, including Robert Thompson (2019), Sandra Fan (2013), and Tyler Robison (2012). He currently advises Emilia Gan (co-advised with B. Mako Hill) and Edward Misback. His research has been supported by NIH grants for work on computerized writing and reading instruction for students with learning disabilities. His CoSolve research group has developed experimental facilities for collaborative problem-solving, exploring tools that support problem formulation, visualization of problem spaces, and team collaboration dynamics, with applications in education, design, and various problem-solving domains.

Yu Huangمشاهده پروفایل

استادیار

• Software Engineering
• Human-Centered AI
• Human Factors in Programming
• +۵ مورد دیگر

Yu Huang is an Assistant Professor of Computer Science at Vanderbilt University with a secondary appointment in the Department of Teaching and Learning at the Peabody School of Education. She is affiliated with the Institute for Software Integrated Systems, the Frist Center for Autism and Innovation, the Vanderbilt Lab for Immersive AI Translation (VALIANT), and the Vanderbilt LIVE Learning Innovation Incubator. Her research focuses on human-centered AI for software engineering, combining human cognition with machine intelligence to enhance software development processes. Educated at the University of Michigan (PhD, 2021), University of Virginia (MS, 2015), and Harbin Institute of Technology (BS, 2011), her work spans software engineering, human factors, AI, and medical imaging. Key projects include the MIND Lab, studying programmer expertise and cognitive processes, and the HumanAISE workshop on Human-Centered AI for Software Engineering. Huang has received significant recognition, including the 2025 ICPC Vaclav Rajlich Early Career Achievement Award and three ACM SIGSOFT Distinguished Paper Awards. Her research is supported by NSF, GitHub, and Vanderbilt initiatives. She advises numerous graduate and undergraduate students, emphasizing diversity and innovation in programming education.

• Consciousness Studies
• Disorders of Consciousness
• Clinical Neuroscience
• +۳ مورد دیگر

Steven Laureys, MD, PhD, is a Professor at the University of Liège where he leads the Coma Science Group within GIGA Consciousness. He holds dual prestigious appointments as Canada Excellence Research Chair in Integrative Neuroscience for Sustainable Mental Health and Canada Excellence Research Chair in Neuroplasticity. His clinical roles include neurologist and clinical professor at the Centre du Cerveau of the CHU of Liège, and Director of Research at the FNRS. Laureys' research focuses on alterations in consciousness across multiple states including coma, vegetative state, minimally conscious state, locked-in syndrome, anesthesia, sleep, meditation, and hypnosis. His work integrates multimodal neuroimaging (fMRI, PET, EEG), electrophysiology, and behavioral assessments to develop diagnostic and prognostic tools for disorders of consciousness (DOC). Key methodological approaches include brain connectivity mapping, metabolic analysis, and AI-driven modeling of neural dynamics. His publication portfolio reveals a strong emphasis on brain connectivity dynamics (42% of recent articles), AI applications in consciousness assessment (23%), and translational neurorehabilitation (18%). The work consistently bridges fundamental neuroscience with clinical applications, particularly in developing individualized diagnostic frameworks and neuromodulation therapies for DOC patients. Major scientific recognition includes: Francqui Prize (2017), Belgium's highest scientific honor Generet Prize (2019) Appointment as Editor-in-Chief of Brain Connectivity journal (2024) Two Canada Excellence Research Chairs (2023-2024) Laureys directs the internationally recognized Coma Science Group, which operates within the GIGA Consciousness research center. The group maintains extensive international collaborations across Europe, North America, and Asia, with particular focus on developing standardized assessment protocols and innovative neuromodulation approaches for disorders of consciousness. Current research directions emphasize neuroplasticity mechanisms, meditation's impact on brain health, and sustainable mental health frameworks through integrative neuroscience approaches.

Heidi Baselerمشاهده پروفایل

مدرس ارشد

• Visual Neuroscience
• Neuroimaging
• Sensory Processing
• +۴ مورد دیگر

Dr. Heidi Baseler is a Senior Lecturer in Imaging Sciences at the Hull York Medical School and the Department of Psychology , University of York . She serves as INSPIRE Programme Lead for undergraduate research and contributes to research governance and public/patient involvement in research through committees like the York Neuroimaging Centre Research Governance Committee and Involvement@York . Education : AB in Biology/Psychology from Dartmouth College (1986), PhD in Vision Science from University of California, Berkeley (1995) Career : Research Fellow at Stanford, Smith-Kettlewell Eye Research Institute, and University of York; Lecturer in Imaging Sciences at Hull York Medical School (2012-2021) Her research focuses on neural mechanisms for central/peripheral vision processing, cortical responses to sensory loss (e.g., AMD, deafness), and neuroprotective strategies like photobiomodulation. Techniques include structural and functional MRI , magnetic resonance spectroscopy , multifocal EEG , and electroretinography . Key findings include cortical reorganization in macular degeneration and superior visual performance in deaf adults. Recent article trends highlight: Neuroimaging biomarkers for AMD progression Cross-modal plasticity in deaf individuals Long-term effects of sensory deprivation on brain structure Photobiomodulation for neurodegeneration Functional connectivity in face-selective regions Contrast perception dynamics across aging Scientific awards include: Exceptional Contribution to Student Experience Finalist , Hull York Medical School (2024) Pursuing Excellence Award , Hull York Medical School (2023) Vice-Chancellor's Teaching Award , University of York (2020) Multiple Teacher of Excellence Finalist recognitions (2016-2018) She teaches undergraduate medical students in Foundations of Medicine and Neurological Diseases , and supervises MSc Cognitive Neuroscience projects. Collaborations span institutions like University of Hull , University of Lille , and University of Regensburg . Current students include Sharyfah Alasiri (PhD, Biomedical Sciences) and Erin English (PhD, Psychology) at the University of York.

• Cognitive Neuroscience
• Perception
• Decision-Making
• +۳ مورد دیگر

Prof. Floris de Lange is a Professor at the Donders Institute for Brain, Cognition and Behaviour, Radboud University, and holds a part-time W3-Professorship in Cognitive Computational Neuroscience at the University of Bonn. His research focuses on understanding how top-down factors like goals, attention, expectations, and prior knowledge shape perception, cognition, and decision-making. He uses behavioral and neuroimaging techniques (MEG, fMRI, TMS) to study these processes in healthy and pathological brains. Key research themes include predictive perception, attention, and the neural mechanisms underlying decision-making. His work has been supported by prestigious grants such as the Vici and ERC Consolidator Grants. He teaches courses on Attention and Prediction, Cognitive Control, and Neurophysiology of Cognition and Behaviour. Education: Not explicitly stated in the provided text. Awards: Vici Grant (NWO), ERC Consolidator Grant, Ammodo Science Award, and others. Labs/Teams: Leads the Predictive Perception and Cognition group within the Donders Institute. His research highlights the brain’s predictive nature, demonstrating how expectations modulate sensory processing in early visual cortex and influence decision-making. He collaborates internationally, including an adversarial testing project on theories of consciousness.

Janet van Hellمشاهده پروفایل

استاد

• Bilingualism
• Second Language Acquisition
• Neurocognitive Processes in Language Development
• +۳ مورد دیگر

Janet van Hell is Professor of Psychology and Linguistics at Pennsylvania State University , where she also serves as Co-Director of the Social, Life, and Engineering Sciences Imaging Center (SLEIC) and Co-Director of the Center for Language Science . She leads the Bilingualism and Language Development (BiLD) Lab , investigating neurocognitive aspects of bilingual language use. Education: Ph.D., University of Amsterdam, 1998 Research Interests: Her work centers on bilingualism , second language acquisition , and the neurocognitive mechanisms underlying language development. Using EEG/ERP , behavioral, and linguistic techniques, her lab explores cross-language interaction, code-switching, and foreign-accented speech comprehension. The ‘brain bus’ , a mobile EEG lab, extends her research into schools and public outreach. Publications Overview: Her recent publications span bilingual phonetics , syntax processing , memory consolidation , and executive control , with a focus on EEG/ERP methodologies and experimental behavioral paradigms . Studies often involve heritage speakers , child bilinguals , and late L2 learners . Advising & Collaborations: Advises numerous PhD students and postdocs, many co-authoring papers (marked with *). Collaborates across Psychology, Linguistics, and Neuroscience departments. Leads outreach via the ‘brain bus’ for public engagement in science. Labs & Centers: BiLD Lab – Bilingualism and Language Development Lab SLEIC – Co-Director, Social, Life, and Engineering Sciences Imaging Center Center for Language Science – Co-Director

• Cognitive Neuroscience
• Developmental Neuroscience
• Multisensory Perception
• +۵ مورد دیگر

Ambra Ferrari is a Research Fellow at the Interdepartmental Center for Mind/Brain Sciences (CIMEC) within the University of Trento. Her work focuses on cognitive development, multisensory perception, and neuroimaging techniques. She teaches courses such as Cognitive neuroscience of infant development and contributes to the Cognitive Neuroscience program in the Department of Psychology and Cognitive Sciences. Her research integrates methodologies from neuroscience and psychology to study infant cognition, social development, and sensory integration. She develops computational tools like the WTools MATLAB toolbox for analyzing infant neural data. Ferrari's work bridges developmental psychology, psycholinguistics, and sensory neuroscience, emphasizing how prior expectations guide perception during communication. In teaching, she employs journal clubs and seminars to foster critical analysis of empirical studies and contemporary theories in cognitive development. Her courses aim to equip students with skills to evaluate experimental research and understand neurobiological foundations of cognition. Her laboratory (CIMEC) focuses on adaptive behavior, cross-modal plasticity, and embodied communication. Current projects explore statistical learning mechanisms, attention modulation in multisensory perception, and the role of gesture-prosody interactions in language comprehension.

Evelina Fedorenkoمشاهده پروفایل

دانشیار

• Cognitive Neuroscience
• Linguistics
• Neuroscience
• +۳ مورد دیگر

Evelina Fedorenko is an Associate Professor in the Department of Brain and Cognitive Sciences at the Massachusetts Institute of Technology (MIT) , with affiliations at Massachusetts General Hospital (MGH), Boston Campus . Her research focuses on the cognitive and neural mechanisms underlying language processing, including interactions with artificial systems like language models. Lab: Language Lab at MIT , exploring minds and brains creating language Key Research Areas: Cognitive Neuroscience of Language and Music, Neural Representations, Computational Models Her recent work examines how artificial language models map to human brain regions , investigates the universality of language networks across languages and individuals, and explores non-classical aspects like cerebellar involvement. She develops advanced methodologies for neuroimaging, including individualized brain mapping and standardized stimuli creation. Scientific contributions include debates on language localization, studies of language evolution, and frameworks for semantic analysis. Her team employs fMRI , MEG , and precision imaging to dissect the language-selective network and its interactions with other cognitive systems.