جستجوی استاد راهنمای دانشگاهی

Christopher Thomas Sege, PhD is an Assistant Professor in the Department of Psychiatry and Behavioral Sciences at the Medical University of South Carolina (MUSC) College of Medicine. His research focuses on the neurophysiological mechanisms underlying anxiety disorders, particularly examining escape, avoidance, and approach behaviors in the anxiety disorder spectrum. Dr. Sege's primary research interests include: Anxiety Disorders and Emotional Processing Defensive Behaviors and Coping Mechanisms Neurophysiological Correlates of Emotional Anticipation Startle Response and Autonomic Nervous System Functioning Transcranial Magnetic Stimulation (rTMS) Applications His work bridges clinical psychology with neuroscience to understand how individuals with anxiety disorders process and respond to emotional stimuli. Dr. Sege leads the research study "Modeling and Modulating Mechanisms of Escape, Avoidance, and Approach in the Anxiety Disorder Spectrum" which investigates whether repetitive transcranial magnetic stimulation (rTMS) can alter how people with anxiety cope with emotional situations. This study involves measuring brain activation while participants view emotional pictures and undergo rTMS procedures. His publication record demonstrates expertise across multiple domains: Neurophysiological mechanisms of defensive behaviors Emotional anticipation and perception Startle modulation in anxiety disorders Borderline personality disorder research Development of experimental paradigms for emotional processing studies His research employs multiple methodologies including psychophysiology, event-related potentials, and neurostimulation techniques. Dr. Sege collaborates with researchers including Lisa McTeague, Bernadette Cortese, Carla Danielson, Thomas Uhde, and Aicko Schumann. His work appears in journals such as Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, Biological Psychology, and Psychophysiology.

• Anxiety Disorders
• Neurophysiology
• Emotional Processing
• +۴ مورد دیگر

Dr. Kelsey Onderdijk is a Post-doctoral Researcher at Tilburg University in the Department of Communication and Cognition within the Tilburg School of Humanities and Digital Sciences. Her research focuses on the intersection of music cognition, virtual reality, and social connectedness, with publications spanning neuroscience, psychology, and human-computer interaction domains. Dr. Onderdijk completed her doctoral studies at Ghent University with a dissertation titled "Come together: Exploring unity in music interaction through agency and social connectedness." Her academic journey reflects a strong commitment to understanding human interaction through musical experiences, particularly examining how technological mediation affects social bonding. Her research interests include: Music cognition and embodied music interaction Virtual reality applications in musical contexts Social connectedness in digital music environments Effects of technological constraints on musical collaboration Physiological measures of emotional engagement in music Impact of external constraints on creative expression Dr. Onderdijk's publication record demonstrates a clear trajectory examining how people connect through music in both physical and virtual spaces. Her work bridges psychology, musicology, and human-computer interaction, with particular attention to the impact of the COVID-19 pandemic on musical collaboration. Recent publications have focused on concert experiences in virtual reality environments and the physiological correlates of emotional engagement during musical performance. Her research has garnered significant attention, with multiple publications receiving citations and mentions in news outlets, policy sources, and social media platforms. The "Impact of Lockdown Measures on Joint Music Making" paper has been particularly influential, accumulating 39 citation indexes and 50 Mendeley readers. Dr. Onderdijk actively collaborates with researchers across institutions, particularly with scholars from Ghent University including Marc Leman and Pieter-Jan Maes, indicating a strong network within the music cognition research community. Her work contributes to UN Sustainable Development Goals, particularly those related to well-being and innovation.

• Music Cognition
• Virtual Reality Applications
• Social Connectedness
• +۵ مورد دیگر

Wim Gevers is a faculty member at the Université libre de Bruxelles (ULB) and leads the CS4S – Cognitive Control & Sleep laboratory within the CRCN research centre. His work bridges cognitive psychology, neuroscience and sleep research to understand how the brain exerts control over thoughts and actions and how sleep contributes to these processes. Research Interests Cognitive Control & Metacognition: Investigating how subjective experiences such as confidence and the "urge-to-err" guide strategic adjustments in behaviour. Working Memory & Ordinal Cognition: Examining how order information is maintained and manipulated, and how these processes relate to mathematical competence. Sleep, Memory & Decision Making: Exploring how sleep-dependent consolidation influences motor learning and decision strategies. Across his 2022–2025 publications a clear trend emerges: a focus on metacognitive monitoring —how humans evaluate their own cognitive states—and the role of emotional and temporal context in shaping those evaluations. Studies range from reaction-time introspection and confidence judgements in perceptual tasks to the impact of aging and depression on metacognitive accuracy. Doctoral Supervision & Mentoring Whitney Stee (PhD 2024) – Sleep-dependent structural brain reorganization & motor learning Gaia Corlazzoli (PhD 2024) – Subjective experience in decision-making Myrtille Dewulf (PhD 2023) – Ordinal coding mechanisms in working memory Rebeca Sifuentes-Ortega (PhD 2023) – REM sleep and memory reactivation All dissertations were defended at ULB, Faculté des Sciences psychologiques et de l’éducation, with Wim Gevers formally listed as Promotor . Laboratory & Collaborative Networks As head of CS4S, Gevers coordinates a multidisciplinary team that combines behavioural experimentation, EEG/MEG, computational modelling and sleep polysomnography. The lab is embedded in the larger CRCN ecosystem, fostering collaborations with groups such as CO3 (consciousness), LCLD (language & deafness), and UR2NF (neurofunctional imaging).

• Cognitive control
• Metacognition
• Working memory
• +۳ مورد دیگر

David Clewett, Ph.D. , is an Assistant Professor of Psychology at University of California, Los Angeles (UCLA) , where he leads the Dynamic Arousal and Memory Lab. His research explores how emotional arousal, stress, and neuromodulatory systems like norepinephrine and dopamine shape the way we encode, organize, and retrieve memories. He joined UCLA in July 2020 after completing his Ph.D. in Neuroscience at the University of Southern California and a postdoctoral fellowship at NYU and Columbia University. Education: Ph.D. in Neuroscience, University of Southern California (2016) B.S. in Biopsychology with minor in English, University of California, Santa Barbara Research Focus: Dr. Clewett’s lab investigates how physiological arousal influences attention and memory, using a multimodal approach that includes fMRI, pupillometry, eye-tracking, and pharmacological methods. His work spans four major themes: The role of emotion and arousal in selective memory enhancement or suppression. How contextual shifts and emotional states structure episodic memory into meaningful events. Techniques to weaken or update traumatic or unwanted memories. The dynamic effects of attention and arousal states on neural and memory representations. Publications and Impact: His work has been published in top-tier journals such as Nature Communications , Journal of Neuroscience , Hippocampus , and Trends in Cognitive Sciences . His research has contributed to understanding how neuromodulators like norepinephrine and dopamine interact with memory systems to prioritize salient information, and how these processes can be leveraged for therapeutic intervention in PTSD, depression, and aging-related memory decline. Students and Lab Team: Dr. Clewett mentors a diverse team of graduate students and research assistants. Current graduate students include Jacinda Taggett, Ringo Huang, Erin Morrow, Bailey Harris, and Brandon Katerman. Former lab members have gone on to Ph.D. programs at Harvard, UC Berkeley, and other top institutions. Lab and Facilities: The lab is located in Pritzker Hall at UCLA, and is equipped with tools for fMRI, pupillometry, eye-tracking, and behavioral testing. The lab also collaborates with researchers across UCLA and other institutions, including NYU, Columbia, and USC.

• Emotion and memory
• Neuroscience of arousal
• Episodic memory
• +۴ مورد دیگر

Joseph Tao-yi Wang is a Distinguished Professor in the Department of Economics at National Taiwan University (NTU). He holds a PhD from UCLA and previously served as a Postdoctoral Scholar and Visiting Associate at Caltech. His research spans experimental economics, neuroeconomics, game theory, and behavioral economics, with a focus on strategic decision-making, market design, and learning in games. Wang directs the Taiwan Social Sciences Experimental Laboratory (TASSEL), which hosts large-scale experimental research and conferences like the 2017 APESA. His work integrates eye-tracking, pupillometry, and machine learning to study cognitive processes in economic decisions. Wang is also active in educational innovation, developing flipped classroom models with experiments for economics courses. His publications consistently explore behavioral deviations from game-theoretic predictions, such as overcommunication in sender-receiver games and learning patterns in auctions. Recent work emphasizes reproducibility in management science and AI applications in education. Wang’s research uses diverse methodologies—from neuroimaging to field experiments—to test economic theories in real-world contexts. Wang mentors through NTU’s Berkeley Economics Student Assistant Program (BESAP) and organizes mini-courses for high school students. He has not received scientific awards per the available data.

• Experimental Economics
• Neuroeconomics
• Game Theory
• +۳ مورد دیگر

Edward Awh is a Professor at the University of Chicago in the Department of Psychology, specializing in cognitive neuroscience, working memory, and attentional mechanisms. His research explores the neural basis of memory storage, spatial attention, and the interplay between cognitive systems using EEG and neuroimaging techniques. University of Chicago, Department of Psychology NIH R01 grants on working memory and ADHD Research Interests: Awh investigates discrete resource limits in working memory, the role of alpha oscillations in attention, and neural mechanisms underlying memory encoding and retrieval. His work addresses how the brain manages distractor suppression, spatial representations, and the relationship between attention and memory capacity. Scientific Trends: Recent publications focus on content-independent memory encoding, EEG decoding of attentional processes, and the intersection of sustained attention with memory performance. His studies frequently employ human behavioral experiments, EEG analysis, and computational modeling. Grants: Principal Investigator on multiple NIH R01 grants, including projects on working memory states (R01MH087214), perceptual interference in ADHD (R01MH077105), and attentional control mechanisms.

• Cognitive Neuroscience
• Working Memory
• Attention
• +۳ مورد دیگر

Elizabeth Phelps is the Pershing Square Professor of Human Neuroscience in the Department of Psychology at Harvard University's Faculty of Arts and Sciences. She directs the Phelps Lab, which investigates how emotions influence learning, memory, and decision-making using multidisciplinary approaches including behavioral studies, neuroimaging (fMRI), physiological measurements, and computational modeling. The lab collaborates widely across psychology, neuroscience, economics, and clinical disciplines. Her research examines: Human neuroscience of affect and cognition interactions Emotional modulation of learning and memory systems Neural mechanisms of decision-making under uncertainty Impact of emotion on social cognition and behavior Translational applications for psychological disorders Contact information: Email: phelps@fas.harvard.edu Lab email: phelpslab@fas.harvard.edu Address: Northwest Lab Building, 52 Oxford Street, Cambridge, MA 02138 The lab welcomes study participants and research assistant applicants, emphasizing diversity and inclusion in research.

• Human Neuroscience
• Learning and Memory
• Emotion
• +۳ مورد دیگر

Matt Nassar is an Associate Professor of Neuroscience and Assistant Professor of Cognitive and Psychological Sciences at Brown University. He leads the Learning, Memory and Decision Lab, which is part of the Department of Neuroscience and the Robert J. & Nancy D. Carney Institute for Brain Science. His research focuses on understanding how the brain flexibly processes information to achieve complex and adaptive behaviors through computational approaches that bridge cognitive psychology and neuroscience. Education: PhD, University of Pennsylvania (2012) BA, Colgate University (2004) Nassar's research examines how different cognitive systems—learning, memory, and perception—leverage common computational principles to optimize decision-making. His work particularly focuses on how the brain balances stability and flexibility in processing information, how uncertainty is represented and utilized in learning, and how neural computations underlie complex behaviors. Through computational modeling and empirical research, he investigates how modular information-processing systems impact decisions and complex behavior in dynamic environments. His research integrates methods from cognitive psychology, neuroscience, and computational modeling to address fundamental questions about human cognition. Analysis of Nassar's recent publications (2020-2024) reveals a strong focus on computational neuroscience applied to decision-making, learning, and psychiatric conditions. His work frequently employs Bayesian modeling approaches to understand belief updating, uncertainty processing, and structure learning. Key themes include the neural basis of flexibility in learning, computational mechanisms underlying psychiatric symptoms, and age-related changes in cognitive processing. His research bridges cognitive psychology, neuroscience, and computational modeling to provide insights into both healthy cognition and disorders such as depression and schizophrenia. Scientific Contributions: Developed computational models of belief updating and learning under uncertainty Investigated neural mechanisms of stability-flexibility tradeoffs in cognition Examined age-related differences in learning and memory processes Explored computational mechanisms underlying psychiatric conditions Studied the role of noise correlations in neural learning systems Investigated how prefrontal cortex representations shape decision processes Nassar actively mentors researchers in his lab, with recent announcements highlighting postdocs joining from prestigious institutions like Max Planck UCL and Freie Universität Berlin. His lab appears to receive significant research funding, supporting multiple postdoctoral positions and research projects. Collaborations span multiple departments at Brown University, particularly with researchers in Cognitive and Psychological Sciences, Neurology, and Psychiatry. The lab has produced numerous high-impact publications in top journals including Nature Human Behaviour, Brain, and eLife. The Learning, Memory and Decision Lab, led by Nassar, is an active research group that uses computational models to understand how the brain represents and stores information for effective decision making. Recent lab announcements (as of February 2025) indicate the lab is expanding with new postdoctoral researchers joining from Harvard, Max Planck UCL, and Freie Universität Berlin, suggesting strong research momentum and funding support. The lab appears to be well-integrated within Brown's neuroscience community, with collaborations spanning multiple departments and research centers.

• Computational Neuroscience
• Cognitive Psychology
• Decision Making
• +۵ مورد دیگر

Ross Otto is an Associate Professor in the Department of Psychology at McGill University. He holds an office at 2001 McGill College, 711, and can be reached via email at ross.otto@mcgill.ca. His research focuses on understanding the mechanisms underlying reflective versus reflexive decision-making, particularly how cognitive resources, stress, and contextual factors influence effort-based choices. He employs computational modeling, behavioral experiments, and neuroimaging techniques. Notable contributions include studies on stress-induced cognitive avoidance and the neural correlates of effort evaluation. His work is affiliated with the Otto Lab, and he collaborates widely across disciplines such as neuroscience and behavioral economics.

• Behavioral Neuroscience
• Cognition
• Cognitive Neuroscience
• +۳ 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.

• Developmental Psychology
• Cognitive Psychology
• Infant Perception
• +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

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

Dr. Jamie Trost is a Lecturer of Statistics at Brown University's Department of Cognitive, Linguistic, and Psychological Sciences. With roots in cognitive psychology and a Ph.D. from the University of Notre Dame, she specializes in integrating data science education into statistical methodologies and has a strong focus on the Scholarship of Teaching and Learning (SoTL). Her research bridges cognitive psychology and statistics education, emphasizing adaptive teaching strategies. She serves as a statistical consultant for graduate students in the CoPsy department and is affiliated with Brown's Data Science Institute and Sheridan Center for Teaching and Learning. 2019 MA in Psychology from Ball State University 2024-2025 Sheridan Junior Faculty Teaching Fellow Recent publications highlight her work on attention mechanisms, cognitive control, and science communication. Awards include the Sheridan Center fellowship for excellence in pedagogy. Her teaching philosophy prioritizes student-centered learning and continuous feedback integration.

• Statistics Education
• Cognitive Psychology
• Data Science
• +۲ مورد دیگر

Manon Jones is a Professor in Psychology and Director of Research at Bangor University's School of Psychology and Sport Science. She directs the Miles Dyslexia Centre, a research hub providing assessment services and professional development for practitioners, and leads the RILL project—a bilingual literacy program for primary schools funded by UKRI, Nuffield Foundation, and Welsh Government. Her research explores cognitive and neurocognitive foundations of reading, dyslexia, and bilingualism. Key themes include: Cross-modal learning in dyslexia Orthographic processing across languages Remote literacy instruction efficacy Neurodivergent cognition models Syntax acquisition in bilinguals Analysis of her 15 most recent publications (2014–2025) reveals dominant foci on dyslexia mechanisms (9 papers), bilingual language processing (7 papers), and literacy intervention design (4 papers). Methodologies include eye-tracking, ERP, and randomized controlled trials, with increasing emphasis on computational modeling since 2021. She leads multiple grants including: RILL randomized control trial (Welsh Government, 2022–2026) Welsh literacy scale-up project (2024–2025) Neurodevelopmental disorder screening tool development (2022–2023) COVID-19 remote teaching research (2020–2022) She directs the Reading Brain lab and collaborates with NHS services to translate research into clinical/educational practice.

• Reading
• Language Processing
• Dyslexia
• +۳ مورد دیگر

Tyler Perrachione is an Associate Professor at the Department of Speech, Language & Hearing Sciences within Sargent College at Boston University. He holds affiliations with the Department of Biomedical Engineering. His research focuses on developmental disorders of language and reading, human voice recognition, and the neural mechanisms underlying auditory perception and plasticity. He leads the Communication Neuroscience Research Laboratory, exploring speech processing efficiency, talker adaptation, and atypical neurodevelopment in conditions like autism and dyslexia. Education: Ph.D. in Neuroscience (MIT), M.A. and B.A. in Linguistics and Cognitive Science (Northwestern University). His work bridges cognitive neuroscience, audiology, and clinical linguistics, with a strong emphasis on neuroimaging and behavioral experimental methods. Key interests include how listeners adapt to vocal identity, the role of auditory cortex plasticity in speech processing, and the neural correlates of phonological deficits in reading disabilities. Research highlights include studies on cerebro-cerebellar connectivity in autism, the impact of musical training on auditory coding, and the efficacy of noninvasive neurostimulation in speech motor learning. His interdisciplinary approach addresses both fundamental science and clinical applications, such as improving language interventions for neurodevelopmental disorders.

• Developmental disorders of language and reading
• Human voice recognition
• Social auditory perception
• +۳ مورد دیگر

Dr. Margreet Vogelzang is a Lecturer in Psychology at Newcastle University and an affiliated researcher at Theoretical and Applied Linguistics within the Faculty of Modern and Medieval Languages and Linguistics at the University of Cambridge. Based at the English Faculty Building, 9 West Road, Cambridge, CB3 9DP, and affiliated with Trinity College at Cambridge, she maintains a dual institutional presence that reflects the interdisciplinary nature of her work. Her research program combines neuroscientific, psychological, linguistic, and statistical methodologies to investigate language and cognitive processing across the lifespan. She specializes in multilingual syntactic and semantic processing, employing both written and spoken language paradigms with offline (comprehension, judgments) and online (eye-tracking, EEG, fMRI) measures. Her work examines how hearing loss, socio-linguistic variables, and developmental conditions like autism spectrum disorder influence language processing mechanisms. Analysis of her recent publication record reveals three dominant research trajectories: (1) bilingualism effects on cognitive flexibility in autistic children, (2) neural and cognitive mechanisms of sentence processing in individuals with hearing loss, and (3) computational modeling of pronoun interpretation across diverse populations. These strands demonstrate her consistent focus on bridging theoretical linguistics with cognitive neuroscience to address practical questions about language processing variability. Dr. Vogelzang actively supervises several graduate students including Alexander Cairncross, Andromachi Tsoukala, and Chara Triantafyllidou, and serves as course contact for Li16: Psychology of language processing and learning at Cambridge. Her teaching portfolio includes psycholinguistics, neurolinguistics, cognitive science, and research methods, reflecting her methodological expertise across experimental and computational approaches.

• Psycholinguistics
• Language Processing
• Cognitive Neuroscience
• +۸ مورد دیگر