جست‌وجوی استاد و پژوهشگر

• Cognitive Neuroscience
• Psycholinguistics
• Language Comprehension
• +۵ مورد دیگر

Joost Rommers is a Lecturer in Psychology at the University of Aberdeen's School of Psychology, where he leads research on language processing mechanisms. His lab employs EEG, eye-tracking, and behavioral experiments to investigate predictive processing in language comprehension and production, with additional focus on memory and learning systems. His research specialisms span Cognitive Neuroscience , Psycholinguistics , and the Psychology of Memory and Learning . Current work examines how predictive mechanisms operate across language comprehension and production domains, with particular interest in how expectations shape neural processing and memory formation. His methodology integrates electrophysiological measures with behavioral paradigms to uncover temporal dynamics of language processing. Analysis of his 15 most recent publications reveals consistent focus on predictive processing mechanisms, with dominant methodologies including ERP studies (47%), eye-tracking (20%), and lesion-based approaches (7%). Key thematic clusters include neural signatures of prediction errors (33%), memory consequences of predictability (27%), and oscillatory dynamics in speech production (20%). His work frequently bridges language comprehension and production domains, demonstrating cross-paradigm theoretical integration. Dr. Rommers actively supervises PhD students and currently recruits for projects on neural mechanisms of predictive processing in language. His teaching portfolio includes advanced methodology courses and core psychology modules.

Mo Hossnyمشاهده پروفایل

مدرس ارشد

• Biomechanics
• Human Performance Analysis
• Image Fusion
• +۴ مورد دیگر

Mo Hossny is a Senior Lecturer at the University of New South Wales (UNSW) Canberra within the School of Systems & Computing . His academic journey includes a BSc in Computer Science from Cairo University, an MSc in Computer Science through collaboration with the IBM Centre of Advance Studies (CAS) , and a PhD from Deakin University’s Institute for Intelligent Systems and Research Innovation (IISRI) , where he developed an algebraic framework for multimodal image fusion. Education BSc in Computer Science, Cairo University MSc in Computer Science, IBM CAS PhD, Deakin University Dr. Hossny’s research spans interdisciplinary domains at the intersection of biomechanics , machine learning , and autonomous systems . Key areas include marker-less motion capture, ocular biomechanics in virtual reality, image fusion techniques, and real-time intent prediction for vulnerable road users. His work has been applied to fields ranging from autonomous vehicle safety to dermatology and agricultural robotics . Recent publications highlight his expertise in 3D point cloud processing (e.g., VoxelScape dataset), UAV navigation ( Sky Shepherd ), and deep learning for ocular fatigue analysis in VR environments. His technical contributions include novel frameworks for LiDAR inpainting , DDPG control refinement , and spatio-temporal pedestrian prediction .

• Healthy Aging
• Neuropsychology
• Non-invasive Brain Stimulation
• +۴ مورد دیگر

Barbara Colombo is a Professor and Co-Program Director of the Psychology BS program at Champlain College in the United States, where she founded and currently directs the Neuroscience laboratory. Her academic leadership spans program development and laboratory direction within the institution's psychology framework. Her research concentrates on neuropsychological factors in healthy aging, non-invasive brain stimulation for neurorehabilitation, and emotion regulation. She extensively investigates creativity mechanisms including metacognitive experiences during creative processes, imagery's role in cognition, and neural correlates of musical creativity. This work bridges cognitive neuroscience, gerontology, and psychological rehabilitation with strong interdisciplinary applications. Analysis of her 2020-2021 publications reveals three dominant research trajectories: (1) Cognitive aging studies examining psychological symptoms' impact on divergent thinking and cognitive reserve in neurodegenerative diseases; (2) Creativity neuroscience utilizing tDCS to probe mirror systems and metacognitive processes; (3) Media psychology research on how visual editing density affects time perception through oculomotor mechanisms. These streams demonstrate methodological diversity spanning laboratory experiments, clinical observations, and neurostimulation techniques. As Neuroscience laboratory director and Psychology program co-leader, Colombo mentors students in cognitive aging and creativity research while securing institutional support for neurorehabilitation initiatives. Her editorial roles include Associate Editor for Psychology for Clinical Settings at Frontiers in Psychology and Review Editor for Aging Neuroscience, indicating active contribution to scholarly infrastructure. The Neuroscience laboratory she founded serves as an interdisciplinary hub for aging and creativity research, fostering collaborations with institutions like Catholic University of the Sacred Heart in Milan. Current projects integrate eye-tracking, neurostimulation, and cognitive assessment methodologies to explore neuroplasticity in older adults.

Denis Driegheمشاهده پروفایل

استاد

• Eye Movements During Reading
• Parafoveal Processing
• Multilingual Reading
• +۳ مورد دیگر

Professor Denis Drieghe is a faculty member at the School of Psychology, University of Southampton , where he has been based since 2010. His research focuses on eye movements during reading , with particular emphasis on parafoveal processing, cross-linguistic comparisons, and individual differences in reading behavior. PhD from Ghent University Postdoctoral experience with Keith Rayner and Sandy Pollatsek at University of Massachusetts Deputy Head of School (Research) at Southampton Research interests span parafoveal processing accuracy , multilingual reading dynamics , and task-specific reading strategies . Recent publications analyze data cleaning methodologies for eye movement studies, transposed-letter effects in dyslexia, and the role of visual crowding in reading efficiency. His work is funded by Leverhulme Trust , Fund for Scientific Research – Flanders , and other international grants. Scientific contributions include: Developing cross-linguistic eye movement corpora Investigating word skipping mechanics Exploring cognitive load in comprehension tests Professor Drieghe supervises PhD students in experimental psychology and collaborates with research groups such as the Centre for Perception and Cognition . His current projects examine reading behavior across diverse languages and populations, including ESL learners and dyslexic individuals.

Isabelle Mareschalمشاهده پروفایل

استاد

• Visual Perception
• Psychophysics
• Social Neuroscience
• +۷ مورد دیگر

Professor Isabelle Mareschal serves as Professor of Visual Cognition and Director of Research at the School of Biological and Behavioural Sciences, Queen Mary University of London. She leads research at the Centre for Brain and Behaviour, focusing on visual perception and social neuroscience. Her work bridges experimental psychology with real-world applications, particularly in understanding how humans process visual information and social cues. Her research spans two primary streams: extending controlled measurements of visual perception (psychophysics) to realistic stimuli and situations, and investigating social neuroscience and person perception. She examines how humans detect visual features and make judgments about others' attention and facial expressions, with particular emphasis on populations who have experienced adversity. Her lab employs behavioral, psychophysical, and eye-tracking methodologies to explore emotion, gaze, social interaction, and global health implications. Analysis of her recent publications reveals a strong trend toward research on refugee populations, war trauma effects, and cross-cultural emotion perception. Her work increasingly integrates computational approaches, including genetic algorithms and hidden Markov models, to understand individual differences in visual processing. There's also a growing focus on climate change impacts on mental health and educational interventions for vulnerable populations. Professor Mareschal has secured substantial research funding from diverse sources including EPSRC, MRC, Leverhulme Trust, and British Academy. Her grants often address mental health in humanitarian crises, early childhood trauma effects, and innovative methods for studying visual cognition. She actively supervises PhD students including Danni Gu, Sophie Heer, Karen Hoang, and Alexandra Perkins, with research projects spanning contextual information in adaptation and loneliness effects on vision. Her laboratory work at Queen Mary University of London integrates multiple methodologies to advance understanding of visual cognition in both typical and adversity-affected populations.

Timothy Leo Brownمشاهده پروفایل

استاد پژوهشی

• Drugged Driving Research
• Human Factors in Driving
• Vehicle Safety Systems
• +۵ مورد دیگر

Timothy Leo Brown is the Director of Drugged Driving Research and Managing Director at the University of Iowa's National Advanced Driving Simulator (NADS) within the College of Engineering's Industrial and Systems Engineering department. With over 25 years of experience in driving research since 1994, Dr. Brown has established himself as a leading expert in drugged driving, particularly focusing on cannabis and alcohol effects on driving performance. His research spans human factors in driving, vehicle safety systems, and impaired driving assessment through high-fidelity simulation. Brown's work examines how drivers interact with vehicle systems, particularly focusing on the effects of cannabis, alcohol, and other substances on driving performance metrics including lateral control, speed management, and reaction times. He has developed methodologies for detecting impairment through both behavioral and physiological measures, including EEG biomarkers. Brown's publication record demonstrates consistent research productivity with over 130 publications, including numerous high-impact articles in 2023-2025 examining cannabis effects on driving performance, biomarker development for impairment detection, and comparative analyses of drug effects. His recent work has increasingly focused on naturalistic cannabis use effects, dose-response relationships, and developing objective metrics for impaired driving assessment. Scientific Recognition: Recipient of the Jerome H. Ely Award for best article in Human Factors (2002) Member of National Academies Transportation Research Board Committee on Impairment in Transportation Member of Association for the Advancement of Automotive Medicine Member of International Council on Alcohol, Drugs, and Traffic Safety Member of University of Iowa's Behavioral/Social Sciences Institutional Review Board Dr. Brown has served as principal investigator on numerous large-scale simulator projects, overseeing thousands of research participants. His work bridges engineering, human factors, and public health to address the growing challenge of drug-impaired driving as cannabis legalization expands across the United States. He maintains active collaborations with researchers in pharmacology, neuroscience, and traffic safety.

• Clinical Psychology
• Psychotherapy
• Neuroscience
• +۴ مورد دیگر

Gregor Wilbertz is a Researcher in the Department of Clinical Psychology and Psychotherapy at the Faculty of Education and Psychology, Freie Universität Berlin. He is currently engaged in externally funded research with office location at Habelschwerdter Allee 45 (Room JK 26/221b), Berlin, and maintains active contact via email and telephone. His academic qualifications include: Diplom-Psychologe (Master's equivalent in Psychology) Doctor of Philosophy (Ph.D.) in Psychology Wilbertz's research centers on clinical neuroscience , investigating emotional regulation , cognitive control , and social cognition in disorders like depression and ADHD. He employs fMRI and behavioral paradigms to explore neurobiological mechanisms of therapeutic interventions, with notable focus on reward processing in perceptual tasks and neural correlates of impulsivity. His work bridges clinical questions with advanced neuroimaging techniques to optimize treatment outcomes. Analysis of his 13 publications (2008-2020) reveals consistent progression from foundational ADHD neuroimaging studies toward contemporary research on exercise therapy for depression. His work demonstrates strong methodological rigor in linking perceptual processes to clinical applications, particularly through collaborations with Professor Sterzer's team on bistable perception and reward mechanisms. As a researcher on externally funded projects, Wilbertz contributes to initiatives like PANDA and I-REACH, securing resources for neurobiological intervention studies. While not explicitly teaching, his role supports the department's mission through active grant management and scientific investigation. He operates within Freie Universität Berlin's Clinical Psychology and Psychotherapy research team, collaborating on projects examining therapeutic mechanisms and participating in the department's broader work on prevention, health promotion, and social cognition through externally funded grants.

Daniel Linمشاهده پروفایل

دانشیار

• Psychiatric Genetics
• Epigenomics
• Eye-Tracking
• +۱۲ مورد دیگر

Daniel Lin is an Associate Professor at Saint Louis University and an adjunct associate professor at the University of New South Wales (UNSW). A trained psychiatrist with extensive cross-disciplinary training in statistics and psychiatry, Dr. Lin holds a PhD in Psychiatric Epidemiology from Johns Hopkins University and completed postdoctoral research training at Duke University and Cold Spring Harbor Laboratory in the USA. His academic journey includes medical training at National Taiwan University, residency in psychiatry at National Taiwan University Hospital, and specialized fellowships in molecular genomics and statistical genetics. Dr. Lin's research expertise spans psychiatric genetics, epigenomics, eye-tracking methodologies, clinical heterogeneity, epidemiology and biostatistics, suicide prevention and intervention, and aggressive behaviors. His work integrates neurogenetics, statistical and quantitative genetics, public health, behavioral and environmental epidemiology with machine learning techniques. His research focuses on intrinsic and extrinsic factors influencing mental health, using advanced statistical models to investigate complex psychiatric conditions. His research portfolio includes 19 competitive grants totaling over $19 million AUD, featuring a multi-center clinical trial of adolescent suicide intervention. His publications in high-impact journals like The Lancet and JAMA Pediatrics reflect work on genetic association studies, clinical trials, eye-tracking studies, and cohort studies. Current research trends show a strong emphasis on autism spectrum disorder, suicide prevention, and the application of machine learning in psychiatric epidemiology. Dr. Lin has been actively involved in multiple collaborative research projects addressing critical mental health issues including: A multi-site study comparing psychiatric treatment outcomes for suicidal adolescents Investigating comorbidities associated with polygenic loadings in autism Studying predictive models for aggressive behaviors in pediatric psychiatric patients Examining bullying-victimization in children with neurodevelopmental disorders Exploring the role of microRNA in metabolic adverse effects associated with antipsychotics His long-term career goal is to establish an integrative epidemiology program that combines clinical, experimental, and population data to translate research findings into clinical or public health practices, with particular focus on suicide prevention and autism spectrum disorder research.

Golan Karvatمشاهده پروفایل

پژوهشگر ارشد

• Cognitive Neuroscience
• Electrophysiology
• Brain-Computer Interfaces
• +۳ مورد دیگر

Dr. Golan Karvat is a Visiting Scientist at the MRC Cognition and Brain Sciences Unit (MRC CBU) within the University of Cambridge, holding a prestigious Walter Benjamin postdoctoral fellowship. He conducts research at the Memory Control Lab under Programme Leader Michael Anderson, focusing on linking thought emergence to electrophysiological responses through non-invasive neuroimaging and computational approaches. His research spans cognitive neuroscience, electrophysiology, and computational modeling, investigating how spontaneous brain activity competes with evoked responses to shape consciousness and behavior. This work has direct clinical implications for brain-computer interfaces in locked-in patients and treatments for psychiatric disorders including OCD, PTSD, and depression. He employs M/EEG, signal processing, and machine learning in healthy human subjects to study temporal integration, attentional mechanisms, and neural oscillation dynamics. Analysis of his publication record reveals an evolution from autism spectrum disorder research using mouse models (2011-2016) to cutting-edge human cognitive neuroscience (2020-2024). Recent work emphasizes alpha oscillations in attention and temporal processing, while pioneering real-time neural detection for neurofeedback applications. His articles consistently bridge fundamental neural mechanisms with clinical interventions for psychiatric conditions. Scientific Awards: Walter Benjamin postdoctoral fellowship Information regarding student advising and grant funding is not available in the provided sources. Dr. Karvat is an integral member of the Memory Control Lab at Cambridge, collaborating extensively with Ilan Diester's group (University of Freiburg) on optogenetics and rodent behavior, and with T. Kimchi on autism models. His work contributes to the Cambridge Centre for Ageing and Neuroscience and the Cambridge Clinical Research Centre in Affective Disorders, focusing on translational applications of basic neuroscience discoveries.

Markus Bindemannمشاهده پروفایل

استاد

• Face Perception
• Forensic Face Matching
• Visual Cognition
• +۳ مورد دیگر

Professor Markus Bindemann is a full-time faculty member at the School of Psychology , University of Kent , where he serves as Deputy Head of School . He obtained his BSc in Psychology from the University of Stirling (2001) and PhD from the University of Glasgow (2004), joining the University of Kent in 2010. His research spans face and person perception in forensic and natural contexts, including eyewitness identification , forensic face matching , and person detection in complex scenes . He employs advanced methodologies like eye-tracking , virtual reality , and remote-controlled drones . His work also explores pupillary responses for measuring deviant sexual interests and species identification in conservation . Recent publications focus on cognitive templates for face detection , dynamic approach-avoidance contexts , and face identification in crowded environments , reflecting his interdisciplinary approach combining psychology , forensic science , and human-computer interaction . Collaborative efforts with international institutions have produced 100+ peer-reviewed works. Scientific Awards : ESRC Research Grant (2023-26) Royal Society Newton Fellowship (2022-25) Leverhulme Trust Grant (2019-22) British Academy Fellowship (2018-19) As a PhD supervisor , he has mentored 15+ students. His Kent Face Matching Test (KFMT) is a widely used research tool. Current projects explore high-fidelity avatars and cross-race face matching , supported by grants totaling over £1.5 million.

David Kellyمشاهده پروفایل

مدرس ارشد

• Cognitive Development
• Face Processing
• Cross-Cultural Differences
• +۵ مورد دیگر

Dr David Kelly is a Senior Lecturer in Developmental Psychology at the School of Psychology, University of Kent. He serves as Co-Director of the Kent Child Development Unit, Chair of the Ethics Committee, and Programme Director for the MSc in Developmental Psychology. Education: PhD in Face Processing from the University of Sheffield Prior Roles: Postdoctoral Fellowship at the University of Glasgow; Research Associate at Royal Holloway, University of London His research focuses on cognitive development in early infancy, particularly face processing and eye-tracking studies. He investigates cross-cultural differences in visual perception, autism spectrum disorders, and the interplay between oculomotor control and language development. Recent publications highlight trends in infant facial expression analysis, cultural influences on eye movements, and neurodevelopmental variations in preterm and autistic infants. His work spans experimental psychology, developmental science, and cross-cultural cognitive neuroscience. Dr Kelly supervises PhD students including Jonathan Prunty (2020) and collaborates with researchers like Jolie Keemink. He is affiliated with the Kent Child Development Unit and employs naturalistic eye-tracking paradigms to study social cognition in infants. Office hours and academic consultation details are available via the Moodle Student Guide. His research is accessible through the Kent Academic Repository (ORCID: 0000-0002-8033-7556).

Doug Munozمشاهده پروفایل

استاد

• Neuroscience
• Cognitive Science
• Neurology
• +۳ مورد دیگر

Dr. Doug Munoz leads the Queen's Eye Movement Lab , established in 1991, at Queen's University. His research focuses on understanding how the brain controls voluntary behavior, particularly through the generation and suppression of eye movements. Studied using behavioral testing and functional brain imaging Investigates control subjects across the lifespan Examines neurological and psychiatric patient groups Identifies brain areas involved in eye movement control The lab's work bridges cognitive neuroscience and clinical research, aiming to uncover neural mechanisms underlying voluntary and involuntary eye movements.

Deborah A. Baranyمشاهده پروفایل

استادیار

• Motor Control
• Functional neuroimaging
• Non-invasive brain stimulation
• +۶ مورد دیگر

Deborah A. Barany is an Assistant Professor in the Department of Kinesiology at the University of Georgia (UGA). She co-directs the Neurostimulation Laboratory and leads the Brain and Action Laboratory. Dr. Barany teaches in the pre-clinical curriculum at the Augusta University/University of Georgia Medical Partnership on the UGA Health Sciences Campus. B.A. in Neuroscience and Mathematics, Hamilton College (2011) M.A. in Psychology, University of California, Santa Barbara (2013) Ph.D. in Dynamical Neuroscience, University of California, Santa Barbara (2016) Postdoctoral Fellowship in Neurology, University of California, Santa Barbara (2018) Postdoctoral Fellowship in Kinesiology, Emory University (2020) Her research focuses on neural mechanisms of goal-directed movement using behavioral, neuroimaging, and neurostimulation techniques. Key areas include motor control, sensorimotor decision-making, and translational neuroscience for stroke neurorehabilitation. Scientific Awards: Graduate Research Fellowship, National Science Foundation (2011) Affiliates Graduate Dissertation Fellowship, University of California, Santa Barbara (2015) Postdoctoral Training Grant, National Institutes of Health (Emory University, 2016) Georgia StrokeNet Fellowship, National Institutes of Health (Emory University, 2017) Postdoctoral Fellowship, American Heart Association (2018) Dr. Barany’s research integrates behavioral experiments (movement kinematics, eye-tracking), neuroimaging (fMRI, MRS), and neurostimulation (TMS) to study sensorimotor neuroscience. She aims to establish a framework for investigating movement impairments post-brain injury or neurodegenerative diseases. She directs the Brain and Action Laboratory and co-directs the Neurostimulation Laboratory at UGA, focusing on applied translational research in neurorehabilitation and exercise science.

Jennifer McDowellمشاهده پروفایل

استاد

• Cognitive Neuroscience
• Behavioral Neuroscience
• Neuroimaging
• +۴ مورد دیگر

Jennifer McDowell is a Professor and Associate Director of Owens Institute for Behavioral Research at the University of Georgia. She is affiliated with the Behavioral and Brain Sciences and Neuroscience Programs, and is associated with multiple research laboratories including the Clinical and Cognitive Neuroscience Laboratory, the Franklin Foundation Neuroimaging Program, and the UGA Bio-Imaging Research Center. Her work bridges psychology, neuroscience, and cognitive science with a focus on understanding brain-behavior relationships. Dr. McDowell received her educational training at prestigious institutions: Ph.D. from the University of California, San Diego M.A. from the University of California, San Diego B.A. from Swarthmore College, Pennsylvania Dr. McDowell's research spans multiple domains of cognitive and behavioral neuroscience. Her work primarily investigates the neural mechanisms underlying eye movement control, cognitive function, and brain development. She employs advanced neuroimaging techniques including fMRI and EEG to examine brain structure and function in both healthy individuals and those with neurological or psychiatric conditions. A significant portion of her recent work has focused on how exercise interventions affect brain development and cognitive function in children, particularly those who are overweight. Her research also explores individual differences in cognitive performance, brain connectivity, and the neural correlates of executive function. Analysis of Dr. McDowell's publication record reveals a strong focus on cognitive neuroscience with particular emphasis on saccadic eye movements as a window into cognitive control processes. Her work spans basic research on neural mechanisms of eye movements to applied research on brain development in children. A notable trend in her recent work is the investigation of how physical exercise influences brain structure and function in developing children, using sophisticated neuroimaging techniques to document white matter changes and functional connectivity alterations. Her publications appear in high-impact journals across neuroscience, psychology, and medical fields, demonstrating the interdisciplinary nature of her research. Dr. McDowell mentors graduate students in the Behavioral and Brain Sciences program, with Kelsey Elise Roberts listed as one of her current graduate students. While specific grant information isn't detailed in the provided text, her extensive publication record spanning multiple research areas suggests successful funding for her laboratory's work on cognitive neuroscience, neuroimaging, and developmental studies. Dr. McDowell leads research efforts across several important facilities: Clinical and Cognitive Neuroscience Laboratory Franklin Foundation Neuroimaging Program UGA Bio-Imaging Research Center These facilities provide state-of-the-art resources for conducting neuroimaging research, including fMRI, EEG, and other brain imaging techniques. Her laboratory work integrates cognitive testing with advanced neuroimaging to understand the relationship between brain structure/function and cognitive performance.

• Computer Vision
• Machine Learning
• Agri-tech
• +۵ مورد دیگر

Dr. Wenhao Zhang serves as Associate Professor of Computer Vision and Machine Learning at the University of the West of England's School of Engineering, where he co-directs the Centre for Machine Vision at Bristol Robotics Laboratory. His academic foundation includes a BEng in Automation, MEng in Control, MSc in Electronics, and PhD in 3D computer vision analysis of human demographics and behaviours. His research bridges computer vision and machine learning with critical applications in Agri-tech and Health-tech, specializing in face recognition, 3D imaging, eye tracking, and human-computer interaction. Current projects address dementia diagnosis through eye movement analysis, livestock lameness detection, and renal fibrosis assessment using deep learning techniques. His work consistently translates theoretical advances into practical solutions for agricultural and medical challenges. Analysis of his publication record reveals a strong interdisciplinary trajectory, with recent work focusing on convolutional neural networks for medical diagnostics and agricultural automation. The majority of his output combines computer vision fundamentals with domain-specific implementations, particularly in healthcare monitoring and precision farming systems. Dr. Zhang has received notable recognition including the UWE 30 to watch award and Fellow of the Higher Education Academy status. His contributions extend to curriculum development through leadership of the Machine Vision and Advanced AI, Computer Vision, and Cyber Security modules. As an active supervisor, he guides PhD research in 3D object detection, document analysis, and neurodegeneration assessment. His grant portfolio features: Eye tracking for dementia diagnosis (BRACE, 2023-2025) Hoofcount Vision Detection for dairy cattle (Innovate UK, 2022-2024) Deep Learning for Renal Fibrosis Assessment (Royal Society, 2021-2024) Pig feeding behaviour monitoring (BBSRC/GCRF, 2020-2021) Through the Centre for Machine Vision, Dr. Zhang fosters industry-academic collaborations that advance robotics applications in healthcare diagnostics and sustainable agriculture, with ongoing projects targeting real-time vision systems for complex environmental monitoring.