جست‌وجوی استاد و پژوهشگر

Niclas Abrahamssonمشاهده پروفایل

استاد

• Second Language Acquisition (SLA)
• Bilingualism Research
• Phonetics and Phonology
• +۷ مورد دیگر

Niclas Abrahamsson is a Professor of Swedish as a Second Language at Stockholm University, where he also serves as the Director of the Centre for Research on Bilingualism . His research focuses on second language acquisition (SLA) , bilingualism , and phonological/phonetic development , particularly through the lens of age of acquisition and critical periods . He leads the MOB (Meta-research on Bilingualism) group, analyzing trends in bilingualism research and Swedish as a Second Language. PhD in Bilingualism (2001, Stockholm University) BA in Linguistics, Phonetics, and Psychology (1993) His research explores how age of onset and language aptitude influence nativelike attainment in L2 speakers, with a focus on voice onset time (VOT) analysis, neural constraints , and lexical deficits in bilinguals. His recent studies challenge the notion that bilingualism inherently causes linguistic costs, attributing observed deficits instead to second language acquisition processes. Abrahamsson has secured major grants from the Swedish Research Council (VR) , Bank of Sweden Tercentenary Foundation (RJ) , and Byggmästare Olle Engqvists Stiftelse . He supervises PhD students working on topics like Swedish compounding acquisition , language-dependent memory , and foreign accented speech perception . He teaches SLA, bilingual development, and psycholinguistics at all academic levels. Key Awards : VR Grant 2016-01630, RJ Sabbatical Grant SAB16-0051:1, Byggmästare Olle Engqvists Stiftelse Grant 200-0676 Abrahamsson's work frequently employs ERP studies and meta-analyses , emphasizing methodological rigor. He collaborates with institutions like the Multilingualism Lab and has contributed to foundational theories in critical period hypothesis and language aptitude research.

Maurice Smithمشاهده پروفایل

استاد

• Motor Control
• Sensorimotor Learning
• Neuromotor Adaptation
• +۳ مورد دیگر

Maurice Smith serves as the Gordon McKay Professor of Bioengineering at Harvard University's School of Engineering and Applied Sciences (SEAS), where he leads the Neuromotor Control Lab. His primary appointment resides within the Department of Bioengineering, focusing on the computational and neural mechanisms underlying human movement control. Smith's research centers on sensorimotor learning , motor adaptation , and neuromotor control systems . He investigates how the brain forms and retains motor memories, particularly examining cerebellar contributions to long-term sensorimotor memory and the dissociation between implicit and explicit learning pathways. His work frequently employs computational modeling to dissect neural tuning properties and motor variability regulation. Analysis of his recent publications reveals a strong emphasis on temporal dynamics in motor learning , cerebellar function in memory consolidation , and Bayesian frameworks for understanding sensorimotor adaptation . His research demonstrates consistent focus on how error processing, uncertainty, and neural plasticity shape motor memory formation across multiple timescales. Smith maintains active collaborations with researchers including Wilsaan M. Joiner, Yohsuke R. Miyamoto, and Nathan Sandholtz, as evidenced by frequent co-authorship patterns. His laboratory investigates fundamental questions in motor control with implications for neurorehabilitation and adaptive robotics.

David Huberمشاهده پروفایل

استاد

• Cognitive Psychology
• Neuroscience
• Memory Processes
• +۷ مورد دیگر

David Huber is a Professor in Psychology and Neuroscience at the University of Colorado. He holds a PhD from Indiana University (2000). His research focuses on human perception, memory, and decision-making from a computational perspective, integrating behavioral studies with neuroimaging techniques (fMRI, ERP) and computational models (Bayesian, neural networks). Key areas include visual cognition, spatial navigation models, memory retrieval dynamics, and priming effects. Education: PhD in Psychology from Indiana University (2000). Research emphasizes mechanisms underlying memory processes, perceptual adaptation, and the neural basis of cognitive functions. Recent work challenges traditional roles of hippocampal place/grid cells, proposing memory-centric models. He explores how perceptual fluency influences decision-making and juror cognition, with studies on serial dependence and gestalt principles in binocular rivalry. His neurocomputational methods include fMRI-based tuning function analysis and virtual electrophysiology modeling. Publications span over two decades, focusing on memory models (SAM-RI), neural habituation, and Bayesian modeling of brain activity. His work advocates for rigorous model-driven approaches in cognitive neuroscience.

Jonathan Tsayمشاهده پروفایل

استادیار

• Cognitive Neuroscience
• Computational Modeling
• Neuropsychology
• +۳ مورد دیگر

Jonathan Tsay is an Assistant Professor in the Department of Psychology at Carnegie Mellon University, affiliated with the Dietrich College of Humanities and Social Sciences. His research focuses on understanding human motor learning through computational modeling, neuropsychology, and psychophysics, with applications to clinical rehabilitation and brain-computer interfaces. Education: B.A. in Mathematics from Northwestern University; D.P.T. from Northwestern University's Feinberg School of Medicine; Ph.D. in Psychology from UC Berkeley. Research Interests: Investigating how humans master complex movements through cognitive and neural mechanisms. Key areas include sensorimotor adaptation, implicit learning processes, and the interplay between perception and action. His work integrates experimental methods with computational models to explore motor control in health and disease. Labs/Teams: Leads the Physical Intelligence Lab (Pi-Lab), studying movement diversity and optimization through interdisciplinary approaches. The lab emphasizes translational research to improve clinical interventions and human performance technologies.

Angie Birtمشاهده پروفایل

استادیار

• Human Memory
• Forensic Psychology
• Emotion and Memory
• +۷ مورد دیگر

Dr. Angie Birt is an Assistant Professor in the Department of Psychology at Mount Saint Vincent University. Her research focuses on human memory, particularly how emotion influences memory encoding and recall in distressing or traumatic events, with applications in forensic contexts such as eyewitness testimony. She also investigates forgiveness's impact on memory, memory processes across aging, and deception detection. Education: M.A. and Ph.D. in Cognitive Psychology, University of British Columbia B.A. Honours in Psychology, University of Prince Edward Island Research Interests: Dr. Birt employs emotionally evocative stimuli (e.g., videos, photographs) in lab experiments and examines subjective vs. physiological measures of emotional experience. She explores mechanisms behind emotion-memory interactions and real-world implications, such as legal scenarios involving trauma victims. Additional interests include false memory, prospective memory, implicit/explicit memory dynamics, memory decline in aging/dementia, and criminal behavior analysis (e.g., psychopathology, sexual violence). Teaching & Mentorship: She supervises Honours students, directs independent studies, and offers research assistantships (paid and volunteer). Her lab provides students hands-on experience in experimental design, data collection, and analysis across cognitive and forensic psychology domains. Contact: Office: Evaristus 423 | Phone: (902) 457-6667 | Email: angela.birt@msvu.ca

Allison Jane Ouimetمشاهده پروفایل

دانشیار

• Anxiety Disorders
• Cognitive Behavioural Therapy
• Cognition and Psychopathology
• +۱۲ مورد دیگر

Allison Jane Ouimet is an Associate Professor in the Department of Psychology within the Faculty of Arts and Science at Concordia University. Her research focuses on cognitive mechanisms underlying anxiety disorders and the application of cognitive-behavioral therapy (CBT) to improve treatment outcomes. Education: Ph.D. in Clinical Psychology, Concordia University (2014) M.Sc. in Clinical Psychology, The University of Western Ontario (2007) B.A. (Honours) in Psychology, Concordia University (2004) Her research interests lie at the intersection of cognition and psychopathology, particularly examining attentional bias, dual-systems models of cognition (automatic vs. controlled processing), and emotion regulation in anxiety. She investigates how cognitive biases contribute to the development and maintenance of anxiety disorders and how such insights can refine therapeutic interventions like CBT. The most recent publications reflect a consistent focus on anxiety, emotion regulation, cognitive models, and sexual health. Her work integrates theoretical frameworks such as the Reflective-Impulsive Model with clinical practice, while also exploring applications in youth mental health, phobias, and trichotillomania. There is a strong emphasis on both implicit and explicit cognitive processes across diverse populations. While no scientific awards are listed in the provided text, her publication record in peer-reviewed journals and academic books indicates active scholarly engagement. Allison Ouimet has contributed to research mentoring through co-authorship with junior researchers (denoted by asterisks), suggesting involvement in student supervision, though formal advisees are not explicitly listed. Her work appears to be supported by academic research structures, though specific grants are not mentioned. She has contributed to edited volumes on anxiety and phobias, indicating recognition in her field. She is actively involved in research related to mental health, cognition, and behavior, with thematic clusters in anxiety disorders, emotion regulation, cognitive biases, and sexual health across developmental stages.

• Developmental Psychology
• Autism Spectrum Disorder
• Developmental Psychopathology
• +۹ مورد دیگر

Professor David Williams is a leading academic in Developmental Psychology at the University of Kent , serving as Acting Director of the Division of Human Social Sciences. His research bridges developmental psychopathology, autism spectrum disorder (ASD), and cognitive neuroscience. Research Interests include understanding the neuro-cognitive bases of ASD and specific language impairments, with a focus on Episodic and Prospective Memory Metacognition and Mindreading Inner Speech Mechanisms Comorbidity in Developmental Disorders Scientific Recognition includes the 2010 Young Investigator Award from the International Society for Autism Research. He has supervised numerous students, including Mahsa Barzy Katie Carpenter Louise Malkin on topics like humor production in ASD and referential communication. Key Grants highlight his leadership in major projects, such as an ESRC grant (£661,196, 2022-2025) on autism and gender incongruence, and a Leverhulme Trust grant (£225,482, 2015-2019) on self-in-fictional-worlds in ASD.

Pernille Hemmerمشاهده پروفایل

استاد

• Cognitive Psychology
• Episodic Memory
• Semantic Memory
• +۴ مورد دیگر

Pernille Hemmer is a Professor in the Department of Cognitive Psychology at Rutgers University. She joined the faculty in 2012 after completing a postdoctoral fellowship at Syracuse University and earning her Ph.D. from the University of California, Irvine's Department of Cognitive Science. Her research focuses on memory systems, decision-making in naturalistic environments, and Bayesian models of cognition. She leads the CCM Lab (https://sites.rutgers.edu/ccm-lab/), investigating how prior knowledge integrates with episodic memory and influences cognitive processes. Key research interests include: Episodic and semantic memory integration Optimal use of prior knowledge in cognitive tasks Bayesian analysis of individual differences in rational models Belief systems and agency perception Her work spans experimental psychology, computational modeling, and interdisciplinary approaches. Notable contributions include developing generalized Bayesian models of reconstructive memory and frameworks for understanding belief dynamics. Recent research explores socially cognizant robotics and counterintuitive concepts across domains. Awards: Higher-Level Cognition Modeling Prize (2008) Her National Science Foundation CAREER grant (2015) supports applications of Bayesian inference to memory and decision-making. Current projects examine temporal binding mechanisms and the memorability of supernatural concepts through novel methodological tools.

Lucy Montagueمشاهده پروفایل

مدرس ارشد

• Urban Design
• High Street Regeneration
• Community Engagement
• +۴ مورد دیگر

Dr. Lucy Montague is a Senior Lecturer at Manchester School of Architecture (MSA), renowned for her expertise in high streets and urban regeneration. She co-authored the influential book High Street: How Our Town Centres Can Bounce Back from the Retail Crisis (2023), which examines the evolution of UK town centres and proposes adaptive strategies for recovery. Her groundbreaking research project Tales from the High Street (2019-2023) secured a £100k Built Environment Fellowship from the Royal Commission for the Exhibition of 1851. In 2024, she served as a Parliamentary Special Advisor to the House of Lords Built Environment Select Committee, contributing to the report High Streets: Life Beyond Retail? Academic Qualifications: PhD (University of Edinburgh), MSc Urban Design (University of Edinburgh), PG Dip Architecture & Urbanism, BArch (Heriot Watt University) Founding Academic Lead of URBED+ (2019), a research collaboration with URBED focusing on housing, retrofit, and community participation Research Focus : Dr. Montague's work explores the intersection of urban design, retail economics, and civic engagement. Her scholarship spans methodological approaches to practice-based research, representational techniques in design, and the role of theory in creative decision-making. Key projects include analyses of Huddersfield's post-industrial identity and the integration of community unpredictability into academic frameworks. Current Research: High street regeneration, cultural economics, and creative consultation Teaching: Urban regeneration, MSA's MA Architecture & Urbanism program Scientific Recognition : Shortlisted for Architectural Book of the Year 2024; MSA's practice-based research model for REF2021 under her leadership Public Engagement : Regular media commentator on urban issues, with appearances on national TV, radio, and parliamentary debates. Advocates for policy reform to support town centre recovery.

Richard Ivryمشاهده پروفایل

استاد

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

Richard Ivry is a Professor of Psychology at the University of California, Berkeley. His research focuses on cognition and action, particularly the neural mechanisms underlying sensorimotor learning, motor adaptation, and cerebellar function. Affiliated with UC Berkeley's Department of Psychology, his work integrates behavioral experiments, neuroimaging, and computational modeling. Education: PhD in Psychology from the University of Oregon Research Interests: Cerebellar contributions to motor control and prediction Implicit and explicit learning processes Non-invasive brain stimulation techniques (e.g., TMS, kTMP) Neural basis of timing and temporal predictions Research Trends: Recent work emphasizes the cerebellum's role in semantic prediction, sensorimotor adaptation under attentional contexts, and novel stimulation methods like kilohertz transcranial magnetic perturbation (kTMP). Studies often involve collaborations with clinical populations (e.g., cerebellar degeneration, Parkinson's disease) to understand motor and cognitive deficits. Awards: None explicitly listed. Advising & Grants: No specific advisees or grant details provided. Research likely supported by institutional and external funding for experimental neuroscience. Labs/Teams: Affiliated with UC Berkeley's motor cognition and neurophysiology research groups, though specific lab names are not mentioned.

Suparna Rajaramمشاهده پروفایل

استاد

• Human Memory
• Social Transmission of Memory
• Collective Memory
• +۷ مورد دیگر

Summary Suparna Rajaram is a Distinguished Professor of Cognitive Science in the Department of Psychology at Stony Brook University. Her research focuses on social transmission of memory and the emergence of collective memory, with a particular emphasis on how emotional valence, group structure, and social networks influence memory formation and accuracy. She holds a Ph.D. from Rice University (1991) and has been recognized with prestigious awards such as the 2022 Guggenheim Fellowship. Education Rice University, Ph.D. in Psychology, 1991 Postdoctoral training in Cognitive Science (details not specified) Research Interests Rajaram’s work explores the interplay between individual and collective memory processes, including: Social influences on memory accuracy and false memory propagation Collaborative memory dynamics in aging populations Neurocognitive mechanisms underlying collaborative recall Cultural variations in memory disruption Key Contributions Her research has advanced understanding of: Agent-based modeling of collective memory Effects of social interactions on emotional memory accuracy Optimizing group collaboration for enhanced individual retention Awards & Grants 2022 Guggenheim Fellowship National Science Foundation grants (multiple years) Google Faculty Research Award (2016–2018) APS–David Myers Lecture on Teaching (2022) Labs & Collaborations Rajaram directs the Social Memory and Cognition Lab , focusing on: Collaborative remembering in diverse groups Memory transmission in social networks Applications to education and aging

Marjan Kokمشاهده پروفایل

استادیار

• Physical Education
• Motor Learning
• Implicit and Explicit Learning
• +۳ مورد دیگر

Marjan Kok is an Assistant Professor at the Faculty of Behavioural and Movement Sciences at Vrije Universiteit Amsterdam, affiliated with the Learning and Performance department, IBBA LEARN! (Learning sciences), and AMS (Sports). Her research focuses on motor learning methods in physical education, implicit vs. explicit learning processes, working memory capacity, and motor skill development. She holds a PhD from VU Amsterdam (2023) and has published extensively in peer-reviewed journals and book chapters. Her work contributes to UN Sustainable Development Goals related to quality education and health. Research highlights include examining how learning methods impact skill acquisition in children and exploring individual differences in cognitive factors affecting educational outcomes. She collaborates with practitioners to improve training programs for police officers and educators. Marjan teaches courses like 'Motorisch Leren en Ontwikkelen' and supervises master’s research projects. She has no reported ancillary activities.

Giulia Bovolentaمشاهده پروفایل

مدرس

• Language Learning
• Cognitive Psychology
• Second Language Acquisition
• +۳ مورد دیگر

Giulia Bovolenta is a Lecturer at the School of Arts, Culture and Language, Bangor University. Her research focuses on cognitive mechanisms underlying adult second language learning, particularly how individual differences and input properties affect language processing and encoding. She is PI of the 2023-2025 project 'Investigating the nature of difficulty in language learning with EEG' and has received the Leverhulme Trust Early Career Fellowship (2022) and the 2024 Learned Society of Wales Best Poster Prize. Her work explores memory utilization in L2 morphology learning, declarative memory's role in generalization, and prediction errors' impact on syntactic acquisition. She has published widely on topics like verb surprisal effects, artificial language learning, and vocabulary assessment methodologies. Bovolenta actively engages in public outreach, including talks at the Hidden Worlds Science Festival and academic poster presentations. Current research investigates declarative memory's role in explicit vs. item-based learning through pilot studies and EEG-based experiments. She collaborates with institutions like the Learned Society of Wales and mentors PhD students in psycholinguistics and language acquisition.

Antonia Ypsilantiمشاهده پروفایل

دانشیار

• Cognitive Psychology
• Psychobiology
• Loneliness and Mental Health
• +۵ مورد دیگر

Dr. Antonia Ypsilanti is an Associate Professor in Cognitive Psychology and Psychobiology at Sheffield Hallam University's College of Social Sciences and Arts. She holds roles as co-Director of the Campaign to End Loneliness and co-leader of the Cochrane Global Ageing Thematic Group. Her research focuses on loneliness's impact on mental health, self-disgust mechanisms, and interventions targeting social isolation across lifespans. She leads modules in clinical/cognitive neuroscience and mental health wellbeing programs. Education: BSc, MSc, PhD, PGCert (details not specified). Research Interests: Chronic loneliness, stigma reduction, cognitive biases in lonely individuals, workplace loneliness, and neuroscientific methodologies (EEG/ERPs, eye-tracking, VR). Her work bridges academic and practical solutions through projects like the Tackling Loneliness Hub Digital Platform (DCMS-funded) and the Mindful Muscles anti-doping initiative. Funded Projects: Over £1.5M in grants including Age UK's Befriending Interventions (£234,340), DCMS's Loneliness Hub Platform (£149,000), and EU-backed initiatives like the Mindful Muscles Project (£336,685). She has led/co-led 12+ national/international projects since 2011. Awards/Affiliations: Certified Neurofeedback Therapist (IFEN), Editorial Board member for Multilingual Academic Journal of Education and Social Sciences, and active in ESCOP (European Society of Cognitive Psychology). Teaching & Supervision: Module leader for 'Social, Clinical and Affective Neuroscience' and supervises PhD candidates (e.g., Hawkins, Robson) on loneliness-related topics. Committed to mentoring future psychologists through teaching and professional development programs. Labs/Teams: Social and Economic Research Institute (affiliated), leading the College Ethics Lead role for Social Sciences and Arts.

Jozsef Fiserمشاهده پروفایل

استاد

• Cognitive Science
• Visual Statistical Learning
• Perceptual Decision-Making
• +۵ مورد دیگر

Jozsef Fiser is a Professor in the Department of Cognitive Science at Central European University (CEU), where he serves as Director of the Center for Cognitive Computation. His research bridges human psychophysical experiments, computational modeling, and neurophysiological studies to explore how visual statistical learning shapes internal representations for cognition and behavior. He holds advanced degrees in Psychology (D.Sc., Hungarian Academy of Sciences; Dr. habil., Janus Pannonius University), Computer Science (Ph.D., University of Southern California), and Electrical Engineering (Diploma, Technical University of Budapest). D.Sc. in Psychology, Hungarian Academy of Sciences (2007) Dr. habil. in Psychology, Janus Pannonius University (2004) Ph.D. in Computer Science, University of Southern California (1997) M.A. in Psychology, University of Southern California (1992) Diploma in Electrical Engineering, Technical University of Budapest (1986) His research focuses on hierarchical object representations, active learning, probabilistic computation in the brain, and the link between beliefs and knowledge. Key themes include temporal processing, cross-modal integration, attention, and neural variability during perceptual learning. His work often examines how low-level visual processes (e.g., orientation coding) relate to higher-level cognitive functions. Analysis of his recent publications reveals trends in visual statistical learning , probabilistic inference , and neural sampling as frameworks for understanding cognition. Many studies investigate how uncertainty, memory consolidation, and attention modulate learning across species (humans, honeybees, chicks) and contexts (naturalistic vision, sleep effects). As Director of CEU's Center for Cognitive Computation, Fiser leads interdisciplinary research linking computational models with empirical studies of perception, decision-making, and neural dynamics.