جستجوی استاد راهنمای دانشگاهی

Florian Shkurti is an Assistant Professor in the Department of Computer Science at the University of Toronto Mississauga (UTM), affiliated with the UofT Robotics Institute, Vector Institute, and Acceleration Consortium. His research focuses on robotics, machine learning, and computer vision, emphasizing safe and effective autonomous systems in dynamic environments. He directs the Robot Vision and Learning (RVL) lab, exploring areas like environmental monitoring, autonomous navigation, and mobile manipulation. Research Interests: His work spans robotics, machine learning, and computer vision. Key areas include robot perception, planning under uncertainty, safe exploration, imitation learning, and applications in field robotics, autonomous vehicles, and chemistry lab automation. He develops methods enabling robots to perceive, reason, and act safely in collaboration with humans. Publications: Recent work includes advancements in safe multitask learning, interactive crowd navigation, and diffusion models for trajectory planning. His research bridges theoretical foundations with real-world applications in environmental science and autonomous systems. Affiliations: Faculty Member, UofT Robotics Institute; Faculty Affiliate, Vector Institute; Faculty Member, Acceleration Consortium. He also holds positions at UTM's Mathematical & Computational Sciences department. Teaching: Courses include Imitation Learning for Robotics, Neural Networks, and Mobile Robotics. He emphasizes hands-on experience with autonomous systems through projects involving RC cars and simulation tools. Labs & Teams: Leads the RVL lab, collaborating on projects like RoboCulture (automated biological experimentation) and SICNav (safe crowd navigation systems). The lab focuses on cross-disciplinary robotics solutions for real-world challenges.

• Robotics
• Machine Learning
• Computer Vision
• +۶ 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.

• Perception
• Attention
• Vision
• +۳ مورد دیگر

Frederick A. A. Kingdom is a Professor in the Department of Ophthalmology at McGill University's Faculty of Medicine, focusing on Perception, Cognition and Cognitive Neuroscience . His research explores the interplay between early visual feature detection (edges, bars) and intermediate stages forming contours, textures, and surfaces through spatial vision, color vision, stereopsis, texture perception, brightness/lightness perception, and transparency studies . Email: fred.kingdom@mcgill.ca Key research domains include: Perceptual Mechanisms : Lateral inhibition, contrast normalization, spatial bandpass filters, and their role in brightness/lightness perception and illusions like simultaneous brightness contrast. Color Vision : Red-green vs blue-yellow system distribution, chromatic contrast requirements for stereopsis, color-based depth processing limitations, and color-shading effects that parse surfaces vs illumination. Texture Analysis : Detection thresholds for orientation/frequency/contrast modulated textures, co-circularity in texture perception, and texture statistical sensitivity (e.g., kurtosis importance). Shape Processing : Shape-frequency/shape-amplitude aftereffects, global vs local shape coding, and contour inflection adaptation. His work combines psychophysics , fMRI , image processing , and computational modeling to dissect visual system architecture, particularly how color and luminance signals are integrated/separated in early cortical processing.

• Perception
• Cognition and Cognitive Neuroscience
• Spatial Vision
• +۸ مورد دیگر

Bryan Tripp is an Associate Professor at the University of Waterloo, specializing in computational neuroscience, deep learning, robotics, and medical AI. He leads the BRAIN Lab, which focuses on developing neural system models that interact with the physical world through robots. His research integrates neurobiological models with advanced machine learning techniques to study visuomotor processes and robotic applications. Tripp teaches courses such as Computational Neuroscience (SYDE 552), Deep Learning (SYDE 577), and Biomedical Engineering Design Workshops (BME 461/462). His lab has achieved milestones including the OREO robotic head, the first spiking neural network model for complex action planning, and comprehensive datasets for robotic grasping. His recent work emphasizes Medical AI applications, with graduate positions available. The BRAIN Lab is affiliated with the Centre for Theoretical Neuroscience and Waterloo.AI, contributing to interdisciplinary AI research initiatives.

• Computational Neuroscience
• Deep Learning
• Robotics
• +۱ مورد دیگر

Niko Troje is a Professor at York University, affiliated with the Departments of Psychology, Biology, and Electrical Engineering & Computer Science. He holds cross-appointments and leadership roles, including Director of the BioMotion Lab. His research focuses on perceptual representations, biological motion, and vision science. Education: Ph.D. in Biology (1994) - Albert-Ludwigs Universität B.Sc. in Biology (1990), Physics & Mathematics (1987) - Albert-Ludwigs Universität Research Interests: Troje investigates how the brain processes biological motion, perception of human and animal movement, and applications in virtual reality. His work bridges neuroscience, psychology, and computer science. Key Contributions: Pioneered point-light displays for motion perception, explored gait analysis in mental health, and developed tools for motion capture and analysis (e.g., bmlTUX). Awards: Humboldt Research Prize (2014) NSERC Steacie Fellowship (2008-2009) Canada Research Chair (2003-2013) Grants & Labs: Led funded projects on movement perception, collaborated with institutions like the Max Planck Institute, and directs the BioMotion Lab at York University.

• Vision Science
• Biological Motion Perception
• Cognitive Psychology
• +۵ مورد دیگر

Patrick Bennett is a Professor in the Department of Psychology, Neuroscience & Behaviour at McMaster University , focusing on visual perception, aging, and cognitive neuroscience. His research explores how aging affects visual processing mechanisms, face identification, and perceptual learning. Key Research Areas : Aging effects on vision, Face processing, EEG dynamics, Biological motion perception, Perceptual learning Recent Publications : Analyzed visual crowding in older adults (2025), Investigated 3D target detection mechanisms (2024), Studied face mask impacts on emotion recognition (2023) Teaching : Instructs advanced statistics and research design courses for psychology students. His work combines computational methods with behavioral experiments to understand neural processing changes across the lifespan.

• Visual Perception
• Aging and Cognitive Neuroscience
• Face Identification
• +۳ مورد دیگر

Stephen Brooks is a Professor in the Faculty of Computer Science at Dalhousie University, actively contributing to research and education in computer graphics, visualization, and human-computer interaction. He is affiliated with the Human-Computer Interaction, Visualization & Graphics research cluster and currently supervises multiple graduate students on diverse projects. PhD in Computer Science, University of Cambridge (2004) MSc in Computer Science, University of British Columbia (2000) BSc, Brock University (1998) His research focuses on computer graphics and visualization, particularly non-photorealistic rendering, image editing, 3D geospatial systems, ocean visualization, and real-time rendering of natural phenomena. He has also worked in sound synthesis and motion editing. His recent publications show a strong emphasis on visual analytics, network flow visualization, and ocean science applications. His work spans interdisciplinary domains including environmental science, genomics, cybersecurity, and digital art. He has developed visualization tools for ocean science under a major CFREF-funded initiative and created novel methods for rendering stained glass, mixed media art, rivers, and ocean surfaces. His research integrates perception, automation, and user interaction to enhance visual analysis. Notable scientific contributions include work on tone mapping optimization, uncertainty visualization using chromatic aberration, semantic object clouds, and hybrid 2D/3D GIS. His publications appear in top venues such as IEEE TVCG, ACM Transactions, and SIGGRAPH. NSERC Discovery Grants Canada First Research Excellence Fund (CFREF) NSERC CREATE Mitacs Accelerate and Globalink CFI New Opportunities Grant Cyber Security Research and Development Grant He has supervised numerous PhD, Master’s, and undergraduate students in areas including ocean visualization, tone mapping, network security, VR, and geospatial analytics. He teaches courses in Game Design, Visualization, Computer Animation, and Network Computing, emphasizing project-based and interdisciplinary learning. He leads research in visual analytics for network data (FloVis), ocean science, and mixed reality collaboration. His lab develops interactive systems for data exploration in domains ranging from marine biology to cybersecurity. Future work includes expanding ocean-first climate visualization and enhancing mixed presence collaboration in immersive environments.

• Computer Graphics
• Visualization
• Human-Computer Interaction
• +۱۳ 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.

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

Shahab Bakhtiari is an Adjunct Professor in the Department of Psychology at the University of Montreal's Faculty of Arts and Sciences. His research focuses on NeuroAI, exploring the intersection of neuroscience and artificial intelligence, particularly in visual perception and learning mechanisms in biological systems and artificial neural networks. He holds a PhD in Neuroscience from McGill University and conducted postdoctoral research at Mila, Quebec AI Institute. Education: Bachelor's and Master's in Electrical Engineering, University of Tehran PhD in Neuroscience, McGill University His research interests include computational neuroscience, machine learning, visual system modeling, and energy-efficient predictive coding. He teaches courses on AI, cognitive neuroscience, and deep learning applications in psychology. Key grants include a CRSNG grant (2023–2029) for comparative visual system studies and the UNIQUE strategic initiative (2022–2029), co-led by 50+ researchers. He has supervised one Master's student, Hamza Abdelhedi, on AI-human face recognition comparisons. His work bridges AI and biological systems, leveraging neuroimaging and deep learning to model brain dynamics and improve AI's biological plausibility.

• NeuroAI
• Computational Neuroscience
• Artificial Intelligence
• +۴ مورد دیگر

John Tsotsos is Distinguished Research Professor of Vision Science at York University, holding the NSERC Tier I Canada Research Chair in Computational Vision. He is affiliated with the Lassonde School of Engineering, Department of Electrical Engineering and Computer Science, and serves as Adjunct Professor in Ophthalmology and Vision Sciences at the Temerty Faculty of Medicine, University of Toronto. His research focuses span computer vision, visual attention, active vision systems, human vision, and visually guided robotics. Post-Doctoral Fellow – Ontario Heart Foundation, Toronto General Hospital (1979-81) Ph.D. in Computer Science, University of Toronto (1980) M.Sc. in Computer Science, University of Toronto (1976) B.A.Sc. (Honours) in Engineering Science (Computer Science Option), University of Toronto (1974) His research integrates computer vision with robotics and human perception, emphasizing active vision and computational models of attention. Notable contributions include the Selective Tuning theory of visual attention, formal theorems on visual complexity, and implementations in autonomous robotic systems. Recent publications highlight advancements in task-driven gaze prediction, saliency mapping, domain adaptation, stereo vision tracking, and gait analysis. These works bridge computer science, neuroscience, and biomedical engineering. Fellow, Canadian Academy of Engineering (2024) Fellow, Asia-Pacific Artificial Intelligence Association (2022) CS-Can|Info-Can Lifetime Achievement in Computer Science (2020) IEEE Life Fellow (2024) Sir John William Dawson Medal, Royal Society of Canada (2015) Geoffrey J. Burton Memorial Lecture (2011) NSERC Tier I Canada Research Chair in Computational Vision (2003-2024) Royal Society of Canada Fellow (2010) With 200+ trainees and a long-standing directorship at York University’s Centre for Vision Research, Tsotsos has mentored numerous researchers who have become influential in academia and industry. His leadership extends to the Centre for Innovation in Computing @ Lassonde and collaborations with institutions including MIT, University of Toronto, and University of Pittsburgh. He pioneered the Laboratory for Active and Attentive Vision, contributing to fields like medical image analysis, autonomous robotics, and cognitive architectures. His work includes patents in touch-sensitive displays and face recognition systems.

• Computer Vision
• Artificial Intelligence
• Robotics
• +۴ مورد دیگر

Byron N. Van Nest serves as an Assistant Professor in the Department of Biological Sciences within the Faculty of Science at the University of Manitoba. His laboratory, housed in the Biological Sciences Building (Office 314), conducts research at the intersection of neurobiology and animal behavior with primary focus on invertebrate models. Dr. Van Nest's research program investigates fundamental questions about how brains select appropriate behavioral responses to environmental conditions, how neural architecture produces species-specific behaviors, and how neural systems change with age and experience. Using honey bees and cockroaches as model organisms, his lab employs multidisciplinary approaches including immunohistochemistry, confocal microscopy, electrophysiology, and sophisticated behavioral assays. Key research areas include time-memory processing in foragers, neural plasticity in mushroom bodies, sensory integration of olfactory and gustatory cues, and the neurotoxic effects of pesticides on insect cognition. Analysis of his publication record (2011-2023) reveals consistent contributions to insect neuroscience, particularly in understanding the neural basis of foraging behavior. His work demonstrates how experience shapes time-memory management in honey bees, how pesticide exposure alters synaptic organization, and how sensory modalities interact during decision-making. The research integrates molecular, anatomical, and behavioral methodologies to address questions about neural plasticity in changing environments. No scientific awards were documented in the provided materials. While the Van Nest Laboratory acknowledges funding sources, specific grant details and student mentorship records are not specified in the available text. The lab maintains active research operations focusing on neuroethological questions using invertebrate models. The Van Nest Laboratory operates within the Department of Biological Sciences at the University of Manitoba, utilizing specialized equipment for neural imaging and behavioral analysis. Current research directions include investigating pesticide impacts on neural circuits, decoding time-memory mechanisms in social insects, and exploring sensory processing pathways in honey bees under controlled laboratory conditions.

• Neuroethology
• Behavioural Ecology
• Insect Neuroscience
• +۳ مورد دیگر

Professor Melanie Dirks is the Department Chair of Psychology at McGill University, specializing in Clinical Psychology and Developmental Science . Her research focuses on mapping social and emotional skills across childhood, adolescence, and young adulthood, with emphasis on peer/sibling relationships and their impact on psychological symptoms. Uses multimodal methodologies: observational studies, daily diaries, emotion recognition tasks Current projects: friendship quality maintenance, interpersonal victimization in youth, emotional communication dynamics Key research themes from publications include: Peer Relationships : Dissolution patterns, prosocial behavior, bullying, and dating aggression Emotional Processing : Vocal emotion recognition, neural reward responses, stress-neuroimaging links Contextual Influences : Family dynamics, socioeconomic status, post-pandemic social changes Her lab ( CASC Lab ) trains students in advanced social-emotional assessment techniques, with notable advisees including *Morningstar, *Gilbert, and *Santucci. Google Scholar articles (2014-2025) demonstrate expertise in developmental psychopathology, social neuroscience, and cross-cultural mental health determinants.

• Clinical Psychology
• Developmental Science
• Peer Relationships
• +۶ مورد دیگر

Madeleine Bartlett is a Research Fellow at the University of Waterloo, affiliated with the Post Doctoral Scholars and Visitors groups. Her work bridges neuroscience and artificial intelligence, focusing on biologically plausible algorithms and their applications in robotics and human-robot interaction. Her research explores how neural mechanisms inspire computational models for reinforcement learning, action representation, and social signal processing. Key areas include integrating biological constraints into machine learning systems and developing robots capable of interpreting human social cues, particularly for therapeutic applications in autism spectrum disorder (ASD). Her publications highlight contributions to continuous action representations in basal ganglia models, biologically-based memory systems for reinforcement learning, and statistical rigor in human-robot interaction studies. She has also pioneered methods for estimating engagement in social HRI using novel neural architectures like Legendre memory units. While no formal awards or grants are listed, her work demonstrates significant innovation at the intersection of neuroscience-inspired AI and socially assistive robotics. She contributes to advancing robots as therapeutic tools through validated autonomous systems that mimic human guidance patterns observed in ASD therapy contexts.

• Artificial Intelligence
• Neuroscience
• Robotics
• +۳ مورد دیگر

John K. Tsotsos is a Distinguished Research Professor at York University's Lassonde School of Engineering, holding positions in both the Department of Electrical Engineering & Computer Science and the Centre for Vision Research (CVR). His work bridges computer science, cognitive science, and neuroscience with a focus on visual attention and active vision systems. Dr. Tsotsos's research interests center on visual attention mechanisms, active visual search, and visuospatial reasoning. His work explores how humans and machines process visual information, with applications in autonomous driving, robotics, and human-computer interaction. He investigates the computational principles underlying visual attention, comparing biological systems with artificial implementations. His research has significant implications for developing more human-like computer vision systems that can effectively navigate and interpret complex visual environments. Analysis of his recent publications reveals a strong focus on active vision systems where observers dynamically control their viewpoints during visual search tasks. His work spans both theoretical foundations of visual attention and practical applications in autonomous vehicles. A significant portion of his recent research addresses driver attention modeling, gaze prediction, and the challenges of real-world visual processing where traditional computer vision approaches often fail. His work consistently bridges cognitive theory with practical engineering applications. Dr. Tsotsos has made substantial contributions to the field of computational vision through his theoretical work on attentional mechanisms and their implementation in artificial systems. His research has influenced both academic understanding of visual processing and practical applications in autonomous systems and human-machine interfaces. As a faculty member at York University, Dr. Tsotsos contributes to the vibrant research ecosystem of the Centre for Vision Research, where interdisciplinary teams work on cutting-edge problems in visual perception, cognitive modeling, and machine vision. His work exemplifies the integration of cognitive science principles with advanced computational techniques to solve complex visual processing challenges.

• Computer Vision
• Visual Attention
• Active Visual Search
• +۵ مورد دیگر

M. Wright is an Associate Professor in Design and Computation Arts at Concordia University, specializing in typography, publication design, exhibition design, and feminist/queer histories. She co-founded the art and design collective AK/OK with Kate Jarboe, whose work has been exhibited globally and distributed by Printed Matter (NYC). Education : MFA in Visual Communication Design, School of the Art Institute of Chicago; AB in Comparative Literature, Princeton University. Her research explores intersections of design, archives, and participatory creation, with recognition from Type Directors Club, Print magazine, and AIGA 50 Books/50 Covers. Her book designs are held in permanent collections at the National Design Archives (US) and Columbia University’s Butler Library. Recent publications span diverse domains, including pediatric emergency care (neonatal resuscitation, ingested coins), trauma surgery (prehospital thoracotomy, surgical safety checklists), and developmental psychology (autism screening, theory of mind). These reflect interdisciplinary collaborations bridging design methodology with medical and social sciences. Scientific Awards : Type Directors Club recognition, Print magazine recognition, American Association of Museums recognition, New York Book Show recognition, AIGA 50 Books/50 Covers recognition. Teaching activities include graduate-level courses like DART 631/Special Topics in Visual Communication, emphasizing hands-on design thinking and social engagement. Her lab, AK/OK, focuses on archival practices and activist art through artists’ books and public interventions.

• typography
• publication design
• exhibition design
• +۸ مورد دیگر