جست‌وجوی استاد و پژوهشگر

Yevgeni Berzakمشاهده پروفایل

استادیار

• Cognitive Science
• Natural Language Processing
• Computational Linguistics
• +۱ مورد دیگر

Yevgeni Berzak is an Assistant Professor at the Technion and a Research Affiliate at Mit BCS . He directs the Technion Language, Computation and Cognition (LaCC) Lab and leads the Cognitive Science Track in the Data Science and Engineering degree at the Technion. His academic background includes: PhD in Computer Science at Infolab, MIT CSAIL Postdoctoral research with Roger Levy at MIT CPL Lab Masters in Computational Linguistics at Universities of Saarland and Nancy Bachelors in Cognitive Science and Amirim Honors Program at Hebrew University of Jerusalem His research focuses on the intersection of Cognitive Science and Natural Language Processing (NLP) , studying human language acquisition and processing through computational modeling, linguistic theory, and neuroimaging. He develops datasets like OneStopQA and CELER , and explores how human gaze patterns can improve machine language understanding. Recent publications address topics such as: Eyetracking for language proficiency assessment Repetition effects in reading behavior Readability prediction via scrolling interactions Structured annotation schemes for reading comprehension The LaCC Lab under his leadership combines theoretical linguistics with machine learning to bridge human and artificial language processing.

Debora M. Lee Chenمشاهده پروفایل

دانشیار

• Binocular Vision
• Pediatric Vision
• Amblyopia
• +۶ مورد دیگر

Dr. Debora M. Lee Chen is an Associate Professor of Clinical Optometry at the University of California, Berkeley’s School of Optometry & Vision Science. She serves as Co-Chief of the Binocular Vision Clinic and Chief Mentor for the Residency in Vision Therapy and Rehabilitation. Her roles also include Berkeley Optometry Disability Officer and active participation in institutional committees like the Clinical Curriculum and Instruction Committee and the Berkeley Optometry Curriculum Committee. Her research focuses on binocular vision disorders, pediatric vision, amblyopia, strabismus, traumatic brain injury, cerebral visual impairment, and innovative treatments using mobile applications. She teaches courses such as Optometry 240 (diagnosis/treatment of binocular vision anomalies), Optometry 241L (advanced strabismus management), and clinical specialty clinics (430B, 441A-C). Key research areas include pediatric vision challenges, neurodevelopmental conditions, and vision-related learning disabilities. She emphasizes community health, including barriers to eye care access and school-based screening initiatives. Her work bridges clinical practice with cutting-edge technologies like AI-driven optometry solutions. Dr. Chen’s contributions extend to neuro-optometric rehabilitation, particularly for patients with acquired brain injuries and developmental differences. She advocates for inclusive healthcare practices through her roles on the Disabled Student’s Program advisory committee and DEIB initiatives.

Eiling Yeeمشاهده پروفایل

دانشیار

• Semantic Memory
• Neural Representation of Concepts
• Spoken Word Recognition
• +۳ مورد دیگر

Eiling Yee is an Associate Professor in the Department of Psychological Sciences at the University of Connecticut. She holds a Ph.D. from Brown University (2005) and leads the Yee Lab, focusing on cognitive and neural representations of concepts. Her research explores semantic memory, spoken word recognition, and how perceptual experiences shape language processing. Research areas include the relationship between sensory input and conceptual processing, with emphasis on the anterior temporal lobe and angular gyrus roles in semantic networks. She employs neuroimaging and eyetracking methods to study abstract vs. concrete concepts, embodiment of knowledge, and lexical-semantic activation in aphasia. Her work bridges cognitive neuroscience, linguistics, and developmental psychology. Notable contributions include studies on manual experience shaping object representations, distributional semantics models, and autism-spectrum traits influencing embodied cognition. The lab's interdisciplinary approach addresses questions about how context and sensory experience shape meaning representation.

Jakob Eg Larsenمشاهده پروفایل

دانشیار

• Human Computer Interaction (HCI)
• Personal Informatics
• Quantified Self
• +۳ مورد دیگر

Jakob Eg Larsen is an Associate Professor at the Technical University of Denmark (DTU), affiliated with the Department of Applied Mathematics and Computer Science (DTU Compute) within the Cognitive Systems Section. He leads the Mobile Informatics and Personal Data Laboratory (MILAB). His research focuses on Human-Computer Interaction (HCI), Personal Informatics, Quantified Self, and Information Visualization, with applications in wearable technology, mental health, and healthcare. He teaches courses in Digital Media Engineering, including user experience, mobile application prototyping, and personal informatics. Education: PhD (2005) and MSc in Computer Science (1999) from the University of Copenhagen, with additional studies in cognitive psychology. Research emphasizes wearable devices for mental health interventions (e.g., PTSD treatment), physical activity tracking in pregnancy, and personalized hearing aid systems. Over 98 publications and 12 supervised PhD projects highlight his contributions to HCI, mHealth, and data-driven healthcare solutions. Labs/Teams: MILAB focuses on mobile informatics and personal data interaction. Collaborations span interdisciplinary fields like audiology, clinical psychology, and public health.

Gunnar Friegeمشاهده پروفایل

استاد

• Physics Education
• Digital Teaching and Learning
• Science Communication
• +۸ مورد دیگر

Prof. Dr. Gunnar Friege is a Professor of Physics Education at the Institute for Mathematics and Physics Education, Faculty of Mathematics and Physics at Leibniz University Hannover. He serves as the head of the Department of Physics Education and is actively involved in the Faculty Council. His office is located in Building 1109, Room 105 at Welfengarten 1A, 30167 Hanover, with office hours on Wednesdays from 9:00-10:00 during the lecture period. Prof. Friege's research spans multiple areas of physics education with a strong emphasis on innovative teaching methods. His work focuses on digital teaching and learning, inquiry-based physics education, and the integration of technology in physics instruction. He has developed numerous projects exploring productive failure approaches in physics learning, smart experiments, and the use of eyetracking technology to understand student engagement with physics concepts. His research also extends to science communication, particularly through physics competitions and outreach activities. Analysis of Prof. Friege's recent publications reveals a strong trend toward inquiry-based learning approaches, formative assessment techniques, and the integration of digital technologies in physics education. His work frequently addresses practical classroom applications of theoretical educational concepts, with many publications providing concrete teaching materials and activities for specific physics topics ranging from buoyancy and thermodynamics to quantum physics and environmental science. The interdisciplinary nature of his research is evident in publications connecting physics education with environmental issues, acoustics, and AI applications. Prof. Friege has been deeply involved in physics competitions throughout his career, participating in the International Physics Olympiad (IPhO) since 1996 in various capacities including as head of the German delegation. He has also been involved with the European Physics Olympiad (EuPhO) since 2017, the Federal Environment Competition (BUW) since 2004, and has created school-level competitions like inventor tournaments and MINT-Fights. His work with the World Federation of Physics Competitions (WFPhC) included serving as Treasurer and Vice President from 2002-2016. As a supervisor, Prof. Friege leads multiple research projects with doctoral students and collaborators including Muriel Schaber, Sophia Siegmann, Julia Hiniborch, and others. His current projects include SoMeCliCs (on social media and climate change education), Productive Failure in physics teaching, Smart Experiments, Eyetracking studies, MasterClasses in quantum physics, and the LernMINT research training group focusing on data-based teaching in STEM subjects. He also directs the Physics Didactics Working Group which investigates subject-specific media competence of prospective teachers and develops digital teaching scenarios.

Titus von der Malsburgمشاهده پروفایل

استادیار

• Psycholinguistics
• Cognitive Modeling
• Eye-Tracking
• +۱۲ مورد دیگر

Titus von der Malsburg is a tenure-track Junior Professor of Psycholinguistics and Cognitive Modeling at the Institute of Linguistics, University of Stuttgart . His research focuses on incremental sentence comprehension, implicit gender biases, scanpath analysis, and computational modeling of language processing. He employs experimental methods like eye-tracking, ERP, and Bayesian statistics to investigate how humans integrate linguistic and cognitive cues during reading. Education : PhD in Cognitive Science (University of Potsdam), with postdoctoral positions at UC San Diego, University of Oxford, and University of Potsdam. His work spans psycholinguistics, cognitive science, and natural language processing, with a strong emphasis on reproducibility and open-source software development. He has contributed to debates on agreement attraction, semantic parsing, and the role of conversational principles in cognitive biases. His lab uses advanced eye-tracking equipment and promotes technical rigor in research practices. Recent publications highlight his contributions to understanding memory decay in syntactic dependencies, semantic attraction effects, and scanpath regularity as a predictor of reading comprehension. The lab actively seeks collaborators aligned with its focus on technical quality and open science. Notably, he clarifies his name’s correct formatting to avoid common misattributions.

Julien Mayorمشاهده پروفایل

استاد

• Language Acquisition
• Infant Speech Perception
• Cognitive Development
• +۵ مورد دیگر

Julien Mayor is a Professor at the Department of Psychology, University of Oslo , specializing in Language Acquisition , Infant Speech Perception , and Computational Modeling in Psychology . His work bridges cognitive development with bilingualism and dialect exposure, focusing on how infants learn words through parental speech patterns. He leads the BabyLing project, developing tools like TLex for unbiased language screening.

• Cognitive Neuroscience
• Forensic Neuroscience
• Neuropsychology
• +۶ مورد دیگر

Cristina Scarpazza is an Associate Professor at the University of Padua, Italy. Her research focuses on cognitive neuroscience, forensic neuroscience, and neuropsychology, with emphasis on emotion recognition, predictive processing, and neuroimaging applications. She leads projects on AI-driven diagnostic tools for brain disorders and legal/ethical implications of neuroscience. Her work bridges clinical, legal, and technological domains. Research interests include: cognitive mechanisms of emotion perception, neuropsychological assessment of offenders, machine learning applications in mental health, and neuroimaging meta-analyses. She has pioneered the EAR test for emotion authenticity and the Neurofind AI framework for brain disorder inference. Her recent work addresses acquired vs developmental forms of paraphilic behaviors and PTSD prevalence analysis. Publications span over 50 peer-reviewed articles in high-impact journals. Key areas include schizophrenia neuroimaging, multiple sclerosis cognitive deficits, and legal neuroscience. Awards and grants include EU-funded projects on forensic neuroimaging and collaborations with international research networks. Advising focuses on interdisciplinary doctoral training in computational neuroscience and legal applications. She is a member of the Italian Society of Neuroscience and contributes to Delphi consensus studies on neuropsychiatric assessment standards.

• Biomechanics
• Motor Control
• Mild Traumatic Brain Injury (mTBI)
• +۴ مورد دیگر

Gustavo Heidner is an Assistant Professor of Kinesiology at Montclair State University within the College for Community Health . His research focuses on biomechanics and motor control, particularly the diagnosis/treatment of mild traumatic brain injury (mTBI) and its effects on balance, motor control, and decision-making. He also explores virtual reality applications for motor learning paradigms and high-stress encounters like law enforcement responses. His teaching responsibilities include courses such as PEMJ 321 (Kinesiology) and PEMJ 324 (Basic Motor Learning). Educational Background: BSc in Exercise Science and Physical Education (Pontifical Catholic University of RS) MA in Exercise Science: Biomechanics (Indiana State University) PhD in Bioenergetics and Exercise Science: Biomechanics and Motor Control (East Carolina University) Research Interests: Combines biomechanical analysis with neurobehavioral studies to address real-world challenges such as mTBI rehabilitation and decision-making under stress (e.g., law enforcement scenarios). Recent work includes studies on visual-motor control during deadly force encounters and the neural correlates of fatigue vs. concussion. Key Contributions: Over 20 peer-reviewed publications in areas like gait adaptations, police officer motor response variability, and virtual reality-assisted motor training. Research emphasizes translational applications for public safety and clinical practice.

• Selective visual attention
• Involuntary learning
• Spatial-temporal predictability
• +۱۰ مورد دیگر

Marta Ratomska serves as a Researcher at the John Paul II Catholic University of Lublin within the Faculty of Social Sciences, specifically in the Department of Experimental Psychology. Her educational background includes a Master's degree in Psychology from KUL with specialization in clinical and personality psychology, followed by completion of her PhD program. Her doctoral research focused on implicit learning of spatio-temporal structures and its effects on attentional orienting. Dr. Ratomska's research program spans multiple dimensions of cognitive psychology. She employs advanced neuroscientific methodologies including EEG within the brain evoked potentials paradigm and eyetracking techniques to investigate fundamental cognitive processes. Her work demonstrates particular expertise in FRP analysis and examining the neural correlates of attention mechanisms. The researcher maintains active investigation across three primary domains: visual attention systems (including selective attention and attentional asymmetry), learning processes (particularly involuntary and implicit learning), and cognitive enhancement approaches (focusing on working memory and musical training transfer effects). Her methodological sophistication combines experimental psychology with neuroscientific approaches, allowing for comprehensive examination of cognitive phenomena from both behavioral and neural perspectives. This integrative approach positions her work at the intersection of basic cognitive research and potential applications in cognitive training interventions.

Kevin Brooksمشاهده پروفایل

استاد

• Motion processing
• Binocular depth perception
• Face perception
• +۵ مورد دیگر

Kevin Brooks is a Professor in the School of Psychological Sciences at Macquarie University, where he conducts research across multiple specialized centers including the Lifespan Health and Wellbeing Research Centre, Perception in Action Research Centre, and Performance and Expertise Research Centre. His academic career spans internationally recognized institutions including NASA Ames Research Center, University of New South Wales, and University of Plymouth before his current appointment. Dr. Brooks earned his B.Sc. (Hons) in Psychology from the University of York (1992-1995), followed by a D.Phil. in Experimental Psychology from the University of Sussex (1995-1999), where he completed his thesis on 'Mechanisms of Suprathreshold Stereomotion Perception' under Professor George Mather. His educational background began with undergraduate studies in Physics at Imperial College, London. His research focuses on visual perception phenomena, with particular expertise in motion processing (speed and direction perception), binocular depth perception (including stereoscopic art and unmatched stereopsis), face and body perception (including recognition and misperception of body size and shape), and perceptual adaptation mechanisms. His work bridges fundamental perceptual processes with real-world applications in health and wellbeing. Analysis of his recent publications reveals a strong trend toward interdisciplinary research connecting perception psychology with clinical applications, particularly in body image disorders, eating behaviors, and mental health. His work increasingly incorporates advanced methodologies including virtual reality, eye-tracking, and neuroimaging to investigate perceptual mechanisms. Australian Awards for University Teaching: Citation for Outstanding Contributions to Student Learning (2021) Executive Dean's Award for Teaching Excellence (2015) Extra Mile Award (2015) Faculty of Human Science Student Nominated Teaching Award (2018) Faculty of Medicine, Health & Human Sciences Learning Innovation Award (2021) Professor Brooks has secured significant research funding through multiple projects including the Mobile Eyetracking Laboratory (ongoing), MQRSG targeting body size misperception (2019-2021), Rigorous Vision Science in the Real World (2016), and the Virtual Reality Dome System (2014). His teaching portfolio includes advanced courses in perception, research methods, and real-world applications of perceptual psychology. He is actively involved with several research centers at Macquarie University, particularly those focused on perception, health and wellbeing, and expertise development. His current research utilizes cutting-edge technology including mobile eye-tracking and virtual reality systems to investigate perceptual phenomena in real-world contexts.

• Visual Attention
• Spatial Memory
• Motor Control
• +۳ مورد دیگر

Gregory West is an Associate Professor at the Department of Psychology, Faculty of Arts and Sciences, University of Montreal. His research focuses on visual attention, spatial memory, motor control, and neuroplasticity, utilizing techniques like fMRI, EEG, and Eyetracking. Roles: Researcher, Educator, Thesis Advisor Affiliations: CERNEC (Center for Research in Neuropsychology and Cognition), BRAMS (International Laboratory for Brain, Music, and Sound Research) Research Interests: His work explores how action video gaming affects hippocampal integrity, spatial navigation strategies, and cognitive decline. He investigates links between perceptual competition and motor output efficiency, with implications for aging and neurological disorders. Article Trends: Recent publications highlight gaming's impact on brain structure (hippocampal grey matter), attentional deployment in spatial learners, and neuroplasticity across developmental and aging populations. Subfields include oculomotor performance, risk-taking behavior, and electrophysiological markers of cognitive processes. Teaching: Offers courses like PSY1006 - Scientific Methodology I, spanning programs in Psychology, Cognitive Sciences, and interdisciplinary studies. Supervision: Directed 8 Master’s theses from 2019 to 2024, covering topics such as navigation strategies in aging, Parkinson’s disease cognition, and hippocampal memory systems. Funding: Secured grants from NSERC, Canadian Foundation for Innovation, and Quebec research funds, focusing on video gaming, stress effects on cognition, and neuroplasticity mechanisms.

Michael Spezioمشاهده پروفایل

دانشیار

• Decision Science
• Cognitive Science
• Computational Cognitive Neuroscience
• +۷ مورد دیگر

Michael Spezio is an Associate Professor of Psychology, Neuroscience, and Data Science at Scripps College. He directs the LIVE Lab (Laboratory for Inquiry into Valuation and Emotion) and specializes in computational cognitive neuroscience, focusing on decision science, valuation, emotion, and social interaction. His work bridges neuroscience, ethics, and virtue science, with notable contributions to understanding autism spectrum disorders, neurodiversity, and moral action. Education: B.S. in Biochemistry, Case Western Reserve University M.Div., Pittsburgh Theological Seminary Ph.D. in Biochemistry, Cornell University Ph.D. in Cognitive & Systems Neuroscience, University of Oregon Key Roles: Co-Director at Scripps College Principal Investigator on multiple grants totaling over $2.5M Research Interests: Spezio explores formal computational models of personal and moral values, the neural basis of social cognition, and ethical implications of neuroscience. His lab integrates EEG/fMRI, natural language processing, and behavioral experiments to study valuation dynamics, trust, and neurodiversity. Recent work addresses how institutions shape values and how interdisciplinary approaches can advance virtue science and moral psychology. Publications Trends: His articles span decision neuroscience, autism neurodiversity, and computational social science. Key themes include amygdala dysfunction, facial emotion recognition deficits, and the neurobiology of social interaction. He critiques popular neuroscientific theories (e.g., McGilchrist’s divided brain hypothesis) using meta-analytic and linguistic methods. Awards: Funded by Templeton Religion Trust, NSF, and NIH Notable grants include the MMIPV project ($190K) and Computational Modeling of Cooperative Success ($697K) Advising & Grants: Spezio has led major initiatives like the Humility in Loving Encounter grant and co-authored grants on autism’s neural circuitry. He collaborates internationally with institutions like Caltech and the German BMBF. Labs/Teams: The LIVE Lab combines interdisciplinary methods to study valuation dynamics. Collaborators include Ralph Adolphs (Caltech), Jan Gläscher (UCI), and teams from theology and ethics.

Adrian Staubمشاهده پروفایل

استاد

• Psycholinguistics
• Eye movement research in reading
• Language comprehension
• +۴ مورد دیگر

Adrian Staub is a Professor in the Department of Psychological and Brain Sciences at the University of Massachusetts Amherst. He directs the UMass Eyetracking Laboratory and focuses on psycholinguistics, particularly the cognitive processes underlying language comprehension and production. His work frequently employs eye-tracking methodologies to investigate syntactic parsing, word recognition, and predictability effects in reading. PhD in Psychological and Brain Sciences (2008), University of Massachusetts Amherst Research Interests Staub's research spans psycholinguistic theory, eye movement analysis during reading, and methodological issues in psychological science. He studies how readers process syntactic structures, recognize words, and integrate predictability information. His recent work includes investigations of function word errors in reading, statistical power in language research, and the theoretical foundations of the replication crisis in psychology. Recent Publications His publications examine phenomena such as the 'Sentence Superiority Effect,' the effects of predictability on lexical processing, and methodological challenges in eye-tracking research. These studies span diverse topics including cross-linguistic comparisons (e.g., Italian, French, Chinese), computational modeling of reading processes, and theoretical debates in psycholinguistics. Academic Roles Since January 2023, Staub has served as Editor-in-Chief of the Journal of Memory and Language . He has also acted as guest editor for a special issue on eye movements in reading at 50. His teaching includes graduate seminars on the replication crisis and undergraduate courses on the psychology of reading. International Collaborations Staub has held visiting appointments at institutions including the Labex EFL Project in Paris, the University of Salzburg, and the University of Milan-Bicocca. These roles reflect his engagement in international research networks focused on reading cognition and eye-tracking methodologies.

Thies Pfeifferمشاهده پروفایل

استاد

• Human-Machine Interaction
• Augmented Reality
• Virtual Reality
• +۵ مورد دیگر

Prof. Thies Pfeiffer holds a professorship in Computer Science with a specialization in Human-Machine Interaction at the University of Applied Sciences Emden/Leer. His work focuses on Mixed Reality technologies (AR/VR) applied to healthcare training, industrial assistance systems, and educational innovation. He leads the research group exploring immersive learning environments and has developed tools like TrainAR for procedural training. Key areas include: Eyetracking for interaction design XR accessibility standards Multi-user VR simulations for nursing training Virtual patient avatars in psychiatry education Research initiatives include the DiViFaG project for digital health training frameworks and the Mixality platform showcasing current projects. He serves on the COGAIN Association board, advancing assistive technology research. His work bridges human factors engineering with practical applications across healthcare, education, and industry.