جست‌وجوی استاد و پژوهشگر

Elizabeth D. Casserlyمشاهده پروفایل

دانشیار

• Cognitive Psychology
• Linguistics
• Speech Science
• +۳ مورد دیگر

Elizabeth D. Casserly is an Associate Professor of Psychology at Trinity College, where she has served since 2013. Her research focuses on human cognition, speech, and communication, integrating interdisciplinary approaches from linguistics, neuroscience, computer science, and the speech and hearing sciences. She holds a courtesy appointment in the Neuroscience Program and coordinates the Cognitive Science minor at Trinity. Her work emphasizes the interplay between diverse fields to understand cognitive processes, including studies on speech production under sensory degradation and the development of assistive technologies like real-time vocoders. Educations: Ph.D. and M.A. in Linguistics and Psychological & Brain Sciences from Indiana University, Bloomington; B.A. in Linguistics from Yale College. Research Interests: Speech perception/production, sensorimotor control, cochlear implant simulation, phonetics, prosody-syntax interfaces, and language development in children with hearing impairments. Her recent work explores how speakers adapt to degraded auditory and somatosensory feedback and the long-term linguistic outcomes for cochlear implant users. Publications focus on topics like speech motor adaptation, prosodic boundaries in syntax, and the design of ecological valid speech perception tools. She actively collaborates with institutions in computer science and engineering to advance technologies for auditory learning. Labs/Teams: Involved in interdisciplinary projects at Trinity College’s Neuroscience Program and Cognitive Science initiative. Her research group develops tools for real-time acoustic simulation and studies motor learning dynamics in clinical populations.

Jan de Fockertمشاهده پروفایل

استاد

• Selective Attention
• Cognitive Control
• Visual Cognition
• +۳ مورد دیگر

Jan de Fockert is a Professor of Psychology and Co-Head of Department at Goldsmiths, University of London. His research centers on human visual selective attention, cognitive control, and neuroimaging (fMRI/EEG), with emphasis on individual differences across age groups and cultures. His methodologies include behavioral experiments and neuroimaging to study frontal lobe control mechanisms. Core research themes include selective attention, working memory interactions, local/global visual processing, and cognitive load effects. Publications analyze cognitive biases, anxiety impacts, and sensorimotor processing in clinical populations, utilizing electrophysiological and behavioral data. Grant support includes awards from ESRC, Wellcome Trust, and British Academy. Public engagement involves media outreach and school lectures.

Pei Wangمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Artificial General Intelligence
• Non-Axiomatic Reasoning
• +۳ مورد دیگر

Pei Wang is an Associate Professor in the Department of Computer and Information Sciences at Temple University's College of Science & Technology. His research focuses on Artificial General Intelligence (AGI), Non-Axiomatic Reasoning System (NARS), and cognitive systems. He holds a Ph.D. in Computer Science and Cognitive Science from Indiana University (1995), and has contributed to foundational AI theories through works like Rigid Flexibility: The Logic of Intelligence (2006) and Non-Axiomatic Logic: A Model of Intelligent Reasoning (2013). Education: Ph.D., Indiana University (1995); M.S./B.S., Peking University (1986/1983) Research interests include AGI architecture design, formal logic for reasoning under uncertainty, and the integration of perception and cognition. His work emphasizes general-purpose intelligence systems capable of adaptive learning and decision-making in dynamic environments. Recent publications explore neurosymbolic systems, consciousness modeling, and causal inference frameworks. Notable contributions include co-editing the Journal of Artificial General Intelligence and leading the OpenNARS project, an open-source AGI implementation. Awards include the Jet Propulsion Laboratory Summer Faculty Research Program (2013–2014) and the Outstanding Dissertation Award from Indiana University (1996).

• Sensorimotor Integration
• Neural Adaptation
• Neurophysiology of Musculoskeletal Treatments
• +۵ مورد دیگر

Bernadette Murphy is a Professor in the Faculty of Health Sciences at Ontario Tech University. Her research focuses on sensorimotor integration, neural adaptation, and the neurophysiological mechanisms underlying musculoskeletal treatments, chronic pain, and brain plasticity in virtual reality. She holds a PhD in Physiology from the University of Auckland, an MSc in Physiology, a Doctor of Chiropractic from Canadian Memorial Chiropractic College, and a BA in Life Sciences from Queen's University. Education: PhD Physiology, University of Auckland MSc Physiology, University of Auckland Doctor of Chiropractic, Canadian Memorial Chiropractic College BA Life Sciences, Queen's University Her research employs techniques such as EEG, TMS, and EMG to investigate sensory feedback mechanisms and neural plasticity. Recent grants include NSERC Discovery Grants and industry-funded studies on chiropractic care and exercise effects. She advises graduate students on topics like chronic pain processing and virtual reality applications. Grants: NSERC Discovery Grant (2022): $325,000 NSERC Research Tools Grant (2022): $68,638 Canadian Chiropractic Research Foundation (2021–2023): $26,500 MITACS (2019–2021): $45,000 Her lab explores sensorimotor integration deficits in chronic pain and the role of spinal manipulation in neuromuscular function. Collaborations include studies on ADHD-related sensory processing and proprioceptive deficits post-neck fatigue.

• Auditory neuroscience
• Music perception
• Infant cognitive development
• +۷ مورد دیگر

Laurel Trainor is a Professor of Psychology, Neuroscience and Behaviour at McMaster University, where she holds multiple prestigious distinctions including Fellow of the Royal Society of Canada (FRSC), Fellow of the Canadian Institute for Advanced Research (CIFAR), and Fellow of the Association for Psychological Science. She is also a McMaster Distinguished University Professor and a Research Scientist at the Rotman Research Institute. Trainor earned her Ph.D. in Experimental Psychology from the University of Toronto in 1991, following an M.A. in the same field (1987) and a Bachelor of Music Performance (1981). Her pioneering research focuses on the neuroscience of auditory development and music perception, particularly how infants acquire musical systems similarly to language acquisition. Trainor has demonstrated that listening to a beat activates motor networks in the brain even without movement, reveals how predictive processes in rhythms shape communication between people, and shows that synchronous movement to musical beats increases prosocial behavior even in infants. Her work spans multiple disciplines including auditory neuroscience, cognitive development, and music therapy. Analysis of Trainor's recent publications (2023-2025) reveals a strong focus on infant and child development, particularly regarding rhythm processing, neural mechanisms of musical perception, and applications for developmental disorders. Her research increasingly incorporates advanced methodologies like machine learning for EEG analysis, online motion tracking, and live performance studies in the unique LIVELab environment. Key themes include the relationship between rhythm perception and motor coordination, cross-modal interactions in music processing, and the therapeutic applications of music. Fellow of the Royal Society of Canada (FRSC) Fellow of the Canadian Institute for Advanced Research (CIFAR) Fellow of the Association for Psychological Science McMaster Distinguished University Professor Lifetime Achievement Award from the Society for Music Perception and Cognition (2022) YWCA Woman of Distinction Award for Arts Culture and Design Co-holder of patent for the Neuro-compensator hearing aid Trainor has secured major funding from prestigious organizations including the Canadian Foundation for Innovation, Canadian Institutes of Health Research, Natural Science and Engineering Research Council of Canada, Social Science Research Council of Canada, and the Grammy Foundation. She is the founding and current director of the McMaster Institute for Music and the Mind (MIMM), which houses the LIVELab—a unique research-concert hall with high acoustic control equipped with multi-person motion capture and EEG systems. This facility enables groundbreaking studies on performer-audience interactions and music's role in health and well-being. Trainor is also an accomplished musician, serving as principal flute of the Burlington Symphony.

Steve Hansenمشاهده پروفایل

استاد

• Human Movement Behavior Analysis
• Motor Control
• Sensory-Motor Systems
• +۳ مورد دیگر

Dr. Steve Hansen is a Professor in the Department of Physical and Health Education at Nipissing University, serving as Graduate Program Coordinator and Chair within the Schulich School of Education. He holds a BKin (Honours), MSc, and PhD from McMaster University. His research focuses on visual control of upper limb movements, kinematic analyses of movement in both typically developing and special populations, and theoretical modeling of movement control and rehabilitation. Key themes include optimizing speed-accuracy trade-offs, sensory-motor integration, and movement variability quantification. Research interests span human movement behavior, sensory-motor systems, and movement control in clinical populations. His work examines how visual feedback and task constraints influence movement planning and execution, with applications to neurorehabilitation and motor learning. Recent trends in his publications emphasize hormonal effects on motor performance, robotics in pediatric therapy, and peer feedback dynamics in skill acquisition. No scientific awards are explicitly listed, but his extensive publication record reflects impactful contributions to motor control theory. As an academic leader, he oversees graduate training and curricular development in physical education. While no lab affiliations are noted, his research collaborations involve interdisciplinary teams studying biomechanics, neuroscience, and clinical applications.

• Artificial Intelligence
• Robotics
• Ethics of AI
• +۴ مورد دیگر

Benjamin Kuipers is a Professor in the Department of Computer Science and Engineering at the University of Michigan. His research focuses on artificial intelligence, robotics, and the ethical implications of autonomous systems. He emphasizes human-like morality and ethical frameworks for robots, with contributions to navigation algorithms, tactile servoing, and trustworthiness in AI. Dr. Kuipers mentors PhD students with a focus on self-motivation and clear communication. He encourages internship experiences and teaching roles (e.g., GSI positions) to broaden professional development. His advising style adapts to students' progress, prioritizing intellectual leadership and publication impact over mere productivity metrics. Key research areas include social navigation, robot-human interaction, and developmental learning. He advocates for conferences like AAAI and ICRA to ensure visibility for research. His work bridges technical innovation with societal impacts, addressing challenges in autonomous vehicles and ethical AI governance. Although no explicit awards are listed, his contributions to AI ethics and robotics have positioned him as a thought leader in the field. He collaborates on projects like the spatial semantic hierarchy and cognitive mapping, emphasizing embodied intelligence and sensorimotor learning.

• Vision Science
• Perception
• Neuroscience
• +۳ مورد دیگر

Professor David Burr is a faculty member in the Faculty of Science at the University of Sydney. His research focuses on perception, vision science, and neuroscience, particularly investigating spatial-temporal processing, multisensory integration, and cognitive mechanisms underlying sensory perception. He is affiliated with the Griffith Taylor Building on campus and can be reached at david.burr@sydney.edu.au . His work spans foundational studies in visual perception (e.g., color crowding, cross-orientation inhibition) to interdisciplinary topics like audio-visual interaction and human-robot interaction. Recent studies highlight adaptive spatial integration mechanisms and the role of sound in disambiguating visual scenes. Key Research Themes: Multisensory perception, temporal processing, visual neuroscience, cognitive development. Notable Contributions: Pioneering work on space-time perception and sensory calibration across modalities. Professor Burr has been recognized with prestigious awards, including election to the Academy of the Social Sciences in Australia (2018) for distinguished contributions to social sciences. His research has been supported by grants such as the 2017 USYD Startup Psy initiative. Collaborations include projects on human-robot interaction and perceptual learning, reflecting his interdisciplinary approach to understanding sensory systems.

• Decision Neuroscience
• Neural Decision-Making
• Perceptual Decision Making
• +۷ مورد دیگر

Professor Marios Philiastides is a faculty member at the University of Glasgow's School of Psychology & Neuroscience, specializing in Decision Neuroscience. His work integrates EEG, fMRI, and computational models to study perceptual and value-based decisions, particularly focusing on neural mechanisms underlying reward learning and decision-making. Affiliations: School of Psychology & Neuroscience (University of Glasgow), Principal Investigator of the Decision Neuroscience Lab. Education: Not explicitly listed in the text; however, extensive publication history suggests advanced training in Neuroscience, Psychology, and related fields. Research Interests: His research explores the neural principles guiding human decision-making, including: Perceptual decision-making processes using EEG/MEG/fMRI Reward-based learning and prediction error signaling Computational modeling of neural evidence accumulation Clinical applications in psychiatry (e.g., depression treatment prediction) Multimodal neuroimaging fusion techniques (EEG-fMRI/TRIUX) Research Trends in Articles: Recent work emphasizes: Dynamic neural mechanisms in reward/punishment contexts Age-related changes in multisensory decision-making Inflammation's impact on reward processing Social vs. non-social decision neural commonalities Scientific Awards & Grants Wellcome Trust (2025-2030): Investigating punishment's role in reward learning European Research Council (2020-2025): Multimodal neuroimaging fusion research Multiple grants from BBSRC, ESRC, and MRC for neural decision confidence studies Advising & Collaborations Supervised postgraduate students include Kitti Ban, Li Cheng, and Nicole Lai. Collaborators include experts in computational neuroscience (e.g., Tarryn Balsdon, Jessica Diaz) and clinical researchers (e.g., Rajeev Krishnadas). Labs & Teams Directs the Decision Neuroscience Lab , focusing on translational research bridging basic neuroscience and clinical applications.

Benjamin Bergenمشاهده پروفایل

استاد

• Cognitive Science
• Linguistics
• Language Comprehension
• +۵ مورد دیگر

Benjamin Bergen is a Professor in the Department of Cognitive Science at UC San Diego, affiliated with the Language and Cognition Lab. His research focuses on language processing, metaphor, profanity, and embodied cognition. He holds a PhD from UC Berkeley (2001) and has authored over 150 peer-reviewed publications. Bergen's work bridges cognitive science, linguistics, and AI, investigating how humans and machines process meaning. Research interests include: (1) Embodied simulation in language understanding, (2) Neural language models' cognitive plausibility, (3) Impact of swearing on communication, (4) Multimodal interaction effects during driving. Recent projects explore LLM capabilities in theory of mind tasks and cross-lingual transfer learning. Public engagement includes over 100 media appearances since 2016, including interviews with Communications of the ACM (2023), Discover Magazine (2023), and Netflix's History of Swear Words (2021). Authored popular science books on profanity and cognitive linguistics.

Marieke van Vugtمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Cognitive Neuroscience
• Computational Psychiatry
• +۷ مورد دیگر

Marieke van Vugt is an Associate Professor in Cognitive Modeling at the University of Groningen, affiliated with the Faculty of Science and Engineering and the Department of Artificial Intelligence. Her research focuses on understanding mind-wandering and its implications using computational modeling, EEG, and neuroimaging techniques. She explores how meditation and mindfulness practices influence cognitive systems and mental health, particularly depression and rumination. Van Vugt obtained her PhD in neuroscience from the University of Pennsylvania (2008) and completed postdoctoral research at Princeton University before establishing her research group in Groningen (2010). She is actively involved in organizations like Mind & Life Europe and the International Society for Cognitive Modeling. Her work integrates interdisciplinary approaches, including computational psychiatry and social neuroscience, to address questions about attention, decision-making, and brain dynamics. Key areas of interest include the neural correlates of repetitive negative thinking and the development of biomarkers for mental health through speech and behavioral analysis.

• Developmental Psychology
• Language Acquisition
• Cognitive Development
• +۴ مورد دیگر

Dr. Ora Oudgenoeg-Paz is an Assistant Professor in the Education and Pedagogy department at Utrecht University's Faculty of Social and Behavioral Sciences, leading research in the 'Development & Education of Youth in Diverse Societies' group. Her primary affiliations include Dynamics of Youth (DoY) research initiative where she investigates early motor and cognitive development through embodiment theory frameworks. Her research focuses on the interrelationships between motor development, cognitive-linguistic development, and dual language exposure in early childhood. Specific interests include how developmental milestones influence children's environmental exploration patterns and how such exploration contributes to spatial cognition and language acquisition. She also examines cross-cultural differences in parental beliefs about motor development and effects of preschool education interventions. Oudgenoeg-Paz leads multiple national and EU-funded projects including CALM (Children and Language Mixing), EVENING (Impact Evaluation of Preschool Education), and L2TOR (robot-assisted second language tutoring). Her longitudinal studies employ mixed methods to understand how environmental factors and early interventions shape developmental trajectories in diverse populations. Key contributions include developing novel assessment tools like the VLOT questionnaire for dual language exposure screening and validating home-video methods for infant motor development tracking. Her work demonstrates significant impacts on early childhood education policies and intervention designs across Europe.

• Computational Neuroscience
• Neural Network Modeling
• Locomotion Control
• +۳ مورد دیگر

Alexander Kozlov is a Researcher at KTH Royal Institute of Technology's Division of Computational Science and Technology. His work focuses on computational neuroscience, particularly modeling neural networks and locomotor control systems. He has contributed to understanding spinal cord networks, striatal connectivity, and neuromodulation mechanisms through in silico studies. Kozlov teaches courses in machine learning, artificial neural networks, and mathematical modeling of biological systems. His research integrates AI frameworks with biological data, emphasizing GPU-accelerated simulations and large-scale microcircuit analysis. Key contributions include studies on Parkinson's disease impact on neural connectivity and the role of sensory feedback in locomotion. He collaborates with the Science for Life Laboratory in Stockholm and maintains active roles in both peer-reviewed and conference publications. Education background and affiliations are not explicitly detailed in the provided text, but his extensive publication record reflects a deep engagement with interdisciplinary neuroscience and computational biology. Awards or grants are not listed here.

Ekaterina Ivanovaمشاهده پروفایل

مدرس

• Human-Robot Interaction
• Haptic Communication
• User-Centred Robotics
• +۳ مورد دیگر

Dr. Ekaterina Ivanova is a Lecturer (Assistant Professor) in Human-Machine Interaction at Queen Mary University of London's School of Electronic Engineering and Computer Science. She is affiliated with the Centre for Human-Centred Computing, focusing on multimodal human-robot interaction, haptic communication, and user-centred robotics for medical applications. Her research integrates robotics, data science, neuroscience, and clinical expertise to develop assistive technologies. Teaching: She teaches modules such as ECS7029P Research Methods and ECS733P Interactive System Design, emphasizing interdisciplinary and hands-on approaches. Research Interests: Her work spans haptic communication, neurorehabilitation, and robot-assisted motor learning. Recent studies explore human-robot collaboration in training, sensory augmentation, and motor performance optimization. Grants: Improving motor learning via haptic human-human and human-robot interaction (Royal Society, £12,000) Multimodal human-human Interaction in Negotiation Tasks (Royal Society, £12,000) UKRI CDT in Artificial Intelligence and Music (EPSRC, £6.5M) Labs/Teams: Active contributor to the Centre for Human-Centred Computing, collaborating on projects like supernumerary limb systems and haptic social interaction.

Megan Kobelمشاهده پروفایل

استادیار

• Vestibular Dysfunction
• Balance Disorders
• Neurophysiology of Perception
• +۳ مورد دیگر

Megan Kobel is an Assistant Professor in the Department of Speech, Language, and Hearing Sciences at the University of Arizona, directing the NIH-funded Vestibular Research Lab. Her research focuses on improving diagnosis and understanding of dizziness, vertigo, and balance disorders through investigations into self-motion perception and sensory integration. She holds dual doctorates (AuD and PhD) and is certified by the American Speech-Language-Hearing Association. Research interests include vestibular dysfunction mechanisms, multisensory integration in postural control, and the relationship between vestibular processing and cognitive performance. She explores clinical applications of perceptual training and advanced diagnostic tools for vestibular disorders. Her recent work highlights impacts of sensory system interactions, long-term effects of viral infections like COVID-19 on balance systems, and age-related vestibular changes. Articles emphasize quantitative analysis of postural sway, perceptual thresholds, and translational research in vestibular rehabilitation. NIH-funded research lab focuses on vestibular diagnostics and therapeutic interventions Course instruction includes advanced balance assessment and rehabilitation Expertise in experimental psychophysics and clinical trial design Grants and collaborations support studies on sensory integration, with publications in high-impact journals across neuroscience and clinical medicine.