جستجوی استاد راهنمای دانشگاهی

James T. Ennsمشاهده پروفایل

استاد

• Perception
• Attention
• Vision
• +۳ مورد دیگر

James T. Enns is a Professor and Distinguished University Scholar in the Department of Psychology within the Faculty of Arts at the University of British Columbia. His research primarily focuses on the role of attention in human vision, with secondary interests in developmental psychology and human-machine interaction. Dr. Enns' research interests span perception, attention, vision, cognition, development, and human-machine interaction. His work explores how the human mind selects information, with particular emphasis on visual attention mechanisms. His laboratory research investigates the fundamental processes of visual perception and how attention modulates these processes across different contexts and developmental stages. Analysis of Dr. Enns' publication record reveals consistent engagement with visual perception, attentional mechanisms, and cognitive processing. His research demonstrates expertise in both theoretical frameworks and experimental methodologies related to visual attention, with applications spanning basic cognitive science to potential implementations in human-computer interaction systems. His work often bridges theoretical cognitive psychology with practical applications. Canadian Society for Brain, Behaviour and Cognitive Science Donald O. Hebb Distinguished Contribution Award (2013) Distinguished University Scholar, UBC (2004) Robert E. Knox Master Teaching Award (2004) Royal Society of Canada Fellow (2002) Killam Faculty Research Prize (1994) Killam Faculty Research Fellowship (1993) Society of Experimental Psychology Fellow Dr. Enns has served as Editor for the Journal of Experimental Psychology: Human Perception and Performance, and as Associate Editor for Psychological Science, Consciousness and Cognition, and Visual Cognition. His research has been supported by grants from NSERC, the Canadian Foundation for Innovation, the Australian Research Council, BC Health, and Nissan. He has authored textbooks on perception, edited research volumes on the Development of Attention, and published numerous scientific articles on vision, attention, and cognitive science. Dr. Enns is currently accepting graduate students and continues to mentor the next generation of cognitive scientists. Dr. Enns leads the UBC Vision Lab, which focuses on how the human mind selects information. The lab conducts research on visual attention, perception, and cognitive processes using a variety of experimental methodologies.

Gunnar Blohmمشاهده پروفایل

استادیار

• Sensorimotor Neuroscience
• Clinical Medicine
• Neurology
• +۳ مورد دیگر

Gunnar Blohm is an Assistant Professor in the Department of Biomedical and Molecular Sciences at Queen's University, affiliated with the School of Medicine and Faculty of Health Sciences. His research focuses on sensorimotor neuroscience, particularly 3D sensorimotor control, eye-hand coordination, and computational modeling of neural processes. He holds a Ph.D. from Université Catholique de Louvain and has held postdoctoral positions at York University and his alma mater. Cross-appointed to the School of Computing, Department of Psychology, and Department of Mathematics and Statistics, he is also Vice-Director of the Connected Minds initiative. His research integrates behavioral experiments, brain imaging (MEG/EEG), and patient studies to understand how sensory information is transformed into goal-directed actions. Key areas include visuomotor transformations, multisensory integration, and Bayesian processes in neural computations. Blohm leads the Computational Sensorimotor Neuroscience Lab, emphasizing collaborative projects like Neuromatch Academy and contributions to open science initiatives. Affiliated with Queen's Centre for Neuroscience Studies and Ingenuity Labs, his work bridges computational approaches with clinical applications, aiming to develop frameworks for understanding brain dysfunction and clinical tools. His recent articles explore topics like saccade dynamics, pupil responses, and generative adversarial collaborations in scientific discourse.

Scott MacKenzieمشاهده پروفایل

دانشیار

• Human-Computer Interaction
• Human Performance Measurement
• Interaction Devices and Techniques
• +۳ مورد دیگر

Scott MacKenzie is an Associate Professor at the Lassonde School of Engineering, York University, where he leads research in Human-Computer Interaction (HCI). He holds a Ph.D. from the University of Toronto (1992) and specializes in interaction devices, mobile computing, and human performance modeling. His work emphasizes accessibility, text entry systems, and assistive technologies. He maintains an active research group focused on advancing HCI through empirical studies and innovative design. Education: Ph.D. in Computer Science, University of Toronto, 1992 Dr. MacKenzie’s research explores how interaction techniques can enhance user performance and accessibility. Key areas include touch-based interfaces, gestural input, and systems for users with disabilities. His recent work investigates eye-tracking for wheelchair control, mid-air gesture interaction, and text entry methods for VR environments. His publications reflect a focus on practical applications of HCI principles, such as improving mobile device usability and evaluating novel input methods. Notable contributions include studies on soft keyboards, tilt-based interaction, and accessibility solutions for motor-impaired users. Labs/Teams: Affiliated with the Lassonde School of Engineering’s research initiatives in interactive systems and human-centered computing.

Bradley Buchsbaumمشاهده پروفایل

دانشیار

• Cognitive Neuroscience
• Working Memory
• Functional Neuroimaging
• +۵ مورد دیگر

Bradley Buchsbaum is an Associate Professor and Senior Scientist at the Rotman Research Institute, Baycrest , Toronto, Canada. His research focuses on cognitive neuroscience, particularly on working memory, episodic memory, and functional neuroimaging using fMRI. PhD in Cognitive Science (2003) from University of California, Irvine BSc in Bio-Psychology (1997) from University of California, Santa Barbara His lab investigates how memories are stored, represented, and reactivated in the brain, combining functional neuroimaging, eye-tracking, and computational modeling. Key areas include multivariate statistics, machine learning applications in neuroimaging, and quantifying memory fidelity through behavioral and neural data. Recent publications emphasize neuroimaging methodology (e.g., MRI data consistency checks), memory pattern completion mechanisms, and feature-specific neural reactivation during episodic recall. Research trends highlight interdisciplinary approaches merging cognitive neuroscience with advanced statistical techniques. Lab team includes post-doctoral fellows (Stephen Rhodes), graduate students (Carolyn Guay, Corey Loo, Michael Bone, Nick Hoang, Ryan Barker), and research assistants. The lab actively develops open-source tools like rMVPA and neuroim2 for fMRI analysis.

Lauren Embersonمشاهده پروفایل

دانشیار

• Developmental Psychology
• Cognitive Psychology
• Infant Perception
• +۴ مورد دیگر

Dr. Lauren Emberson (she/her/hers) is an Associate Professor in the Department of Psychology at the University of British Columbia, Faculty of Arts. She directs the Baby Learning Lab, which is part of UBC's Early Development Research Group, a consortium focused on infant and child development. Prior to her position at UBC, Dr. Emberson was an Assistant Professor at Princeton University where she co-founded and co-directed the Princeton Baby and Princeton Kid Labs. Education: Postdoctoral Associate, University of Rochester (PI Aslin) Ph.D, Cornell University (PIs Amso, Goldstein, Spivey) B.Sc, University of British Columbia Dr. Emberson's research focuses on learning, perception (audition, vision, crossmodal or multisensory), language development, face/object perception, and attention in infants. She investigates these capacities using behavioral and neuroimaging techniques, particularly fNIRS (functional near infrared spectroscopy), working primarily with very young infants (birth through 1 year) and preterm/premature infants. Her work examines how infants' learning capacities contribute to rapid development of perception in ecological contexts, with implications for understanding how early life experiences affect later outcomes. Analysis of Dr. Emberson's recent publications reveals a consistent focus on infant perception, learning mechanisms, and neuroimaging methodology. Her work increasingly incorporates advanced fNIRS techniques while maintaining focus on fundamental questions about how infants learn from their environment. There's a growing emphasis on individual differences, cross-cultural comparisons, and applications to infants facing developmental challenges. Dr. Emberson serves on the editorial board of Infancy (journal of the International Congress of Infancy Studies) and is a consulting editor for the Journal of Cognitive Neuroscience . Her research has been published in top journals including PNAS, Current Biology, Psychological Science, Cognition, Developmental Science, and the Journal of Neuroscience. Dr. Emberson has secured significant research funding from prestigious organizations including the Bill and Melinda Gates Foundation, James S. McDonnell Foundation, Natural Sciences and Engineering Research Council (NSERC), Canadian Institutes of Health Research (CIHR), and the National Institutes of Health (NIH). She collaborates with clinicians at BC Women's and Children's Hospitals to understand how different early life experiences impact learning and brain development. Dr. Emberson is currently accepting graduate students into her research program. The Baby Learning Lab, under Dr. Emberson's direction, is part of UBC's Early Developmental Research Group and collaborates with multiple institutions. The lab strives to provide interactive research experiences for infants and families while advancing scientific understanding of early cognitive development. The lab acknowledges that it operates on the traditional, ancestral, and unceded territory of the xʷməθkʷəy̓əm (Musqueam) people.

Keir Moultonمشاهده پروفایل

دانشیار

• Syntax
• Semantics
• Syntax-Semantics Interface
• +۵ مورد دیگر

Keir Moulton is an Associate Professor and Graduate Chair in the Department of Linguistics at the University of Toronto. He holds a PhD from the University of Massachusetts, Amherst, and a BA (Honors) from the University of Toronto. His research focuses on the syntax-semantics interface, experimental linguistics, and formal approaches to clause structure and anaphora. He has conducted extensive experimental work on pronoun resolution, ellipsis, and binding theory, with a particular interest in exploring how structural constraints influence language processing. His academic career includes roles as co-editor of NELS 34 and contributions to major linguistics conferences such as SALT and WCCFL. Moulton's recent work examines topics like underspecified pronoun interpretation, Korean VP anaphora, and the cognitive processing of syntactic structures. His methodologies blend formal theoretical analysis with experimental techniques, including eye-tracking studies and acceptability judgments. Key research areas include: experimental syntax-semantics interaction, binding theory, ellipsis resolution, and the typology of clausal complementation. He has published over 50 articles in journals like Language , Linguistic Inquiry , and Journal of Cognitive Science , as well as book chapters and edited volumes. Moulton’s work has been supported by grants from the Social Sciences and Humanities Research Council (SSHRC) of Canada. His teaching focuses on graduate courses in syntax, semantics, and experimental methods.

Pamela Beachمشاهده پروفایل

دانشیار

• Teacher Education
• Professional Development of Educators
• Online Learning Environments
• +۴ مورد دیگر

Pamela Beach is the Associate Dean, Research and Associate Professor of Language and Literacy at Queen’s University’s Faculty of Education. She holds an MA and PhD in Child Study/Developmental Psychology from the University of Toronto. With nearly a decade of elementary teaching experience, her research focuses on leveraging online and multimedia resources to enhance teacher education and professional development. Key projects include SSHRC-funded studies on teachers’ self-directed online learning, analysis of web analytics for literacy PD platforms, and cross-cultural studies of literacy practices in Montessori and Reggio Emilia schools. Her expertise spans early literacy development, critical literacy integration, and the use of technologies like eye-tracking and virtual classrooms in teacher training. She leads the Literacy Education Research Team, collaborating on projects such as integrating music into literacy education and evaluating virtual classroom tools for teacher candidates. Beach is also the author of Promoting Language and Early Literacy Development (2024), a practical guide for educators and caregivers. Current roles include supervising graduate students in the Language and Literacy program and overseeing research initiatives as Associate Dean. Her work bridges research, practice, and policy to improve literacy instruction and teacher learning in diverse educational contexts.

Yang Wangمشاهده پروفایل

دانشیار

• Computer Vision
• Machine Learning
• Domain Adaptation
• +۳ مورد دیگر

Dr. Yang Wang is an Associate Professor in the Department of Computer Science and Software Engineering at Concordia University. His research focuses on computer vision and machine learning, with a particular emphasis on domain adaptation, meta-learning, and privacy-preserving techniques. He actively advises prospective graduate students through a dedicated webpage outlining application procedures. Research interests include few-shot learning, test-time adaptation, and cross-modal applications such as handwritten text recognition and gaze estimation. His work explores how models can adapt dynamically to new domains using limited labeled data, with applications in crowd counting, medical data analysis, and cybersecurity. He also investigates privacy-preserving methods for deep learning models to protect user attributes and sensitive information. Recent publications highlight advancements in meta-auxiliary learning frameworks and efficient user adaptation techniques. His contributions span journals and conferences, showcasing innovations in both foundational machine learning methodologies and real-world applications.

Bala Balasingamمشاهده پروفایل

استاد

• Battery Management Systems
• Autonomous Vehicles
• Human Factors Engineering
• +۴ مورد دیگر

Bala Balasingam is a Professor at the University of Windsor's Faculty of Engineering, specializing in interdisciplinary research at the intersection of electrical engineering, human factors, and autonomous systems. His work focuses on battery management systems, cognitive load assessment, and the human aspects of automated driving. Collaborating with the Faculty of Human Kinetics, he addresses challenges related to driver distraction and vigilance in autonomous vehicles. Research interests include battery parameter estimation, real-time state-of-charge tracking, and thermal management of lithium-ion batteries. His team employs advanced methods such as electrochemical impedance spectroscopy (EIS), Kalman filtering, and machine learning for battery diagnostics. In human factors, his studies utilize eye-tracking and biometric sensors to evaluate cognitive workload during complex tasks like vehicle takeovers in automated systems. Key contributions include novel approaches to battery internal resistance estimation, optimized charging algorithms, and validation frameworks for battery management systems. His recent work explores the integration of portable devices in automated driving systems and the impact of cognitive load on driver performance. Collaborations span engineering and kinesiology domains, emphasizing practical applications in transportation and energy sectors. Labs/Teams: Leads interdisciplinary projects combining electrical engineering and human kinetics expertise, with a focus on real-world applications in automotive and industrial automation.

• Cognitive Psychology
• Decision Making
• Metacognition
• +۳ مورد دیگر

Valerie Thompson is a Professor of Cognitive Psychology at the University of Saskatchewan, specializing in intuitive and analytic decision-making, metacognition, and reasoning processes. She holds roles as Past President of the Canadian Society of Brain, Behaviour, and Cognitive Science and Editor-in-Chief of *Thinking & Reasoning*. Her research has been continuously funded by the Natural Sciences and Engineering Research Council of Canada (NSERC) since 1991. Education: BSc, University of Calgary, 1985 MA, University of Western Ontario, 1987 PhD, University of Western Ontario, 1991 Research Focus: Investigates when people rely on intuitive judgments versus analytical reasoning, metacognitive monitoring of decisions, and individual differences in reasoning strategies. Utilizes the Experimental Decision Lab (EDL) with eye-tracking and advanced experimental setups. Her work bridges cognitive science and applied decision-making, emphasizing dual-process theories. Grants & Facilities: Co-developed the Social Sciences Research Lab with a CFI grant, featuring 23 linked computers for cognitive experiments. This facility supports studies on reasoning, decision-making, and metacognition.

Krista A. Ehingerمشاهده پروفایل

دانشیار

• Computer Vision
• Artificial Intelligence
• Human Vision
• +۷ مورد دیگر

Krista A. Ehinger is an Associate Professor and co-lead of the AI group at the University of Melbourne's School of Computing and Information Systems. She holds a PhD from MIT and has held postdoctoral positions at York University and Harvard Medical School. Her research focuses on the intersection of human and computer vision, including scene recognition, visual search, and depth perception. Methodologically, she combines Bayesian models, deep learning, and behavioral experiments like eye tracking. Current projects explore AI applications in space systems (e.g., SpIRIT satellite) and ethical implications of workplace surveillance via computer vision. Recent work emphasizes amodal completion (e.g., reconstructing occluded objects) and AI reasoning systems. She collaborates on medical imaging (TCAM-Diff model), autonomous driving (truck speed detection), and 3D reconstruction. Her lab actively engages in open-source tools like the SUN Database for scene understanding. Professional activities include AI ethics discussions and academic service. She advises students on Masters/PhD projects and contributes to conferences like CVPR and NeurIPS.

Pavel Trofimovichمشاهده پروفایل

استاد

• Second Language Acquisition
• Applied Linguistics
• Psycholinguistics
• +۷ مورد دیگر

Pavel Trofimovich is a Professor of Applied Linguistics at Concordia University's Department of Education, where he has worked since 2003. His research bridges psycholinguistic, sociolinguistic, and pedagogical dimensions of second language acquisition. PhD in Educational Psychology/Applied Linguistics (University of Illinois at Urbana-Champaign, 2003) MA in Teaching English as an International Language (University of Illinois at Urbana-Champaign, 1998) BA in English Philology (University of Latvia, 1996) Key research areas include cognitive processing in L2 speech acquisition, social variables affecting language learning, and comprehensibility in lingua franca interactions. His Concordia Applied Linguistics Lab (co-directed with Kim McDonough) employs mixed methods including eye-tracking and physiological sensors to study multilingual communication. Recent publications (2023-2025) focus on metaperception in L2 interaction, accent bias in employment, and nonverbal behaviors in communication success. Collaborative projects with students and SSHRC grants (e.g., 2021-2025 foreign accent bias study) demonstrate his applied focus on real-world language challenges. Current PhD students: Anamaria Bodea, Thao-Nguyen Nina Le, Chaoqun Zheng Former students now hold academic positions globally (University of Alberta, Waseda University, etc.)

• Interactive Information Retrieval Systems
• Search Engines
• Recommendation Systems
• +۳ مورد دیگر

Mark D. Smucker is a Professor in the Department of Management Science and Engineering at the University of Waterloo , cross-appointed with the David R. Cheriton School of Computer Science (Faculty of Math). His research focuses on designing and evaluating interactive information retrieval systems, including search engines and recommendation systems. He co-organized the TREC Health Misinformation Track (2019–2022) and currently leads the TREC DRAGUN Track, addressing trustworthiness assessment of news. He holds a PhD in Computer Science from the University of Massachusetts Amherst, a Master's from the University of Wisconsin-Madison, and dual Bachelor's degrees in Physics and Computer Science from Iowa State University. His teaching includes courses like Search Engines (MSCI 541/MSE 541) and Introduction to Computer Programming (MSCI 121/MSE 121), emphasizing practical programming and information systems design. He has received awards including the ACM SIGIR 2012 Best Paper Award and the University of Waterloo Engineering Society Teaching Excellence Honourable Mention (2014). His work bridges theory and practice, with contributions to evaluation methodologies like time-based calibration of metrics and preference graphs. He collaborates on projects like the TREC tracks to improve search systems' real-world applicability, particularly in health contexts and misinformation detection.

• Cognitive Neuroscience
• Hemispheric Specialization
• Synesthesia
• +۴ مورد دیگر

Lorin Elias, PhD, is a Professor and Vice-Dean Academic in the College of Arts and Science at the University of Saskatchewan, with a joint appointment in Psychology and Health Studies. He holds a PhD from the University of Waterloo (1999), along with MA (1996) and BA (1994) degrees in Psychology from the University of Waterloo and University of Saskatchewan, respectively. His research focuses on cognitive neuroscience, hemispheric specialization, and perceptual phenomena such as synesthesia. Key interests include spatial attention mechanisms, aesthetic judgment biases related to reading direction, and applications of cognitive science to advertising and art. He has authored/co-authored textbooks including Neuropsychology: Clinical and Experimental Foundations (2006) and multiple editions of Psychology (2004–2015). Elias teaches advanced courses in neuropsychology, cognitive science, and perceptual processes. His work examines lateralized brain functions, including asymmetries in brightness perception, lighting assumptions, and navigation strategies. Recent studies explore cultural influences on visual aesthetics, driving behavior biases, and embodied cognition in social interactions. His research integrates behavioral experiments with neuroimaging methods, addressing topics like hemispheric complementarity of language and emotional processing, and the neural basis of spatial neglect in clinical populations. Current projects investigate perceptual biases in food presentation and lighting design across cultures. Elias has supervised numerous graduate research projects and contributes to curriculum development in neuroscience and health sciences. His work has been published in journals such as Brain and Cognition , Laterality , and Cortex , with a focus on translating cognitive science insights into real-world applications.

• Cognitive development
• Evolutionary psychology
• Social Perception
• +۷ مورد دیگر

Mel Rutherford is a Professor in the Department of Psychology, Neuroscience & Behaviour within the Faculty of Science at McMaster University. Her research focuses on experimental psychology motivated by evolutionary theory, particularly examining Social Perception and Social Perceptual Development. Dr. Rutherford earned her Ph.D. in Psychology from the University of California at Santa Barbara in 2000, following a BA in Psychology and Biology from Yale University in 1992. She completed her postdoctoral fellowship at the University of Denver from 2000-2002. Her research interests span Cognitive Development, Evolutionary Psychology, Social Perception, Animacy Perception, and Face Processing, with particular emphasis on how these processes develop in children and are affected in Autism Spectrum Disorder. She has published extensively on visual aftereffects, religious bias in face perception, essentialism, and developmental trajectories in social cognition. Analysis of her recent publications (2021-2025) reveals a strong focus on religious bias in face perception, with multiple studies examining how religious labels affect visual adaptation to Christian and Muslim faces. Her work also explores essentialism in social categories, developmental trajectories in facial expression perception, and biological motion perception in autism through meta-analysis. Her research consistently bridges evolutionary theory with experimental psychology methodologies. Dr. Rutherford has taught numerous courses including Essentials of Developmental Psychology (PSYCH 3GG3), PNB Tutorials (PNB 2XT0), Advanced Topics in Psychology, Neuroscience and Behaviour (PSYCH 741), Contemporary Problems in Psychology (PSYCH 720A), and Inferential Statistics and Research Methods (PNB 3XE3) across multiple years from 2017-2024. She leads the Rutherford Lab at McMaster University, which focuses on experimental psychology motivated by evolutionary theory, specifically examining questions of Social Perception and Social Perceptual Development. Her work has been widely cited across academic platforms, social media, and news outlets, with numerous publications appearing in high-impact journals like Journal of Vision, Frontiers in Psychology, and Developmental Psychology.