جست‌وجوی استاد و پژوهشگر

Michael S. Brownمشاهده پروفایل

استاد

• Computer Vision
• Image Processing
• Computer Graphics
• +۴ مورد دیگر

Michael S. Brown is a Professor and Canada Research Chair at York University's Department of Electrical Engineering and Computer Science (EECS). He also serves as Senior Director at the Samsung AI Center in Toronto, Canada. His research focuses on computer vision, image processing, and computer graphics, with a deep specialization in camera imaging pipelines, color theory, and AI-driven ISP optimization. He has organized major conferences like ProCams, eHeritage, WACV, and ICCV, and holds editorial roles in journals like TPAMI and IJCV. He is renowned for his work on computational color constancy, ISP hardware algorithms, and AI-based image enhancement techniques. His recent ICCV 2023 tutorial detailed modern camera pipelines and AI applications in ISP components. His research is supported by grants from NSERC, Samsung, Adobe, Google, and Microsoft. Brown advises numerous graduate students and has mentored over 30 alumni now in academia and industry roles at Meta, Samsung, Microsoft, and startups. His lab focuses on camera systems, noise modeling, and cross-platform color management, with contributions to open-source datasets and software platforms for ISP experimentation.

Dirk Bernhardt-Waltherمشاهده پروفایل

استاد

• Visual Perception
• Cognitive Neuroscience
• Scene Categorization
• +۵ مورد دیگر

Professor Dirk Bernhardt-Walther is an academic at the University of Toronto, serving as Program Director of the Cognitive Science Program and Department of Psychology . He investigates neural and computational mechanisms underlying high-level sensory perception, focusing on real-world scenes, mid-level vision, and visual aesthetics. Education: PhD in Computation and Neural Systems (Caltech, 2006), M.Phil (University of Cambridge) Research Focus: His lab employs fMRI, MEG, EEG , and GAN-generated stimuli to study scene categorization, perceptual organization, and aesthetic processing. Recent work explores curvature perception, emotion representation in scenes, and neural dissociations between computational and subjective visual metrics. Laboratory Members: The Bernhardt-Walther Lab includes PhD students like Gaeun Son (scene perception), Charlotte Leferink (scene representation), and Dela Farzanfar (aesthetic processing), alongside postdocs and collaborators. Advising: Supervises graduate students in projects combining computational modeling, psychophysics, and neuroimaging, particularly those with backgrounds in computer science or cognitive neuroscience.

Frederick A. A. Kingdomمشاهده پروفایل

استاد

• Perception
• Cognition and Cognitive Neuroscience
• Spatial Vision
• +۸ 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.

Laurie Wilcoxمشاهده پروفایل

استاد

• Vision Science
• Neuroscience
• Binocular Vision
• +۴ مورد دیگر

Laurie Wilcox is a Full Professor in the Department of Biology at York University, affiliated with the Faculty of Science. Her research focuses on stereopsis, binocular vision, and depth perception, particularly exploring how the visual system processes binocular disparity signals. She leads a laboratory investigating cortical systems for fine and coarse disparities, with studies on amblyopia and applied collaborations with companies like Christie Digital and IMAX. Her work bridges basic neuroscience and applied research, addressing depth perception in 2D/3D displays and VR environments. Key interests include stereoscopic volume representation, perceptual grouping, and the impact of monovision on depth judgments. Recent studies examine lightness constancy in virtual reality, depth magnitude errors in 3D displays, and neural activation patterns in object-selective visual cortex. Wilcox has published extensively on binocular vision mechanisms, including coarse stereopsis in strabismus patients and the role of motion parallax in depth perception. Her applied projects evaluate visual fidelity in stereoscopic content, compression algorithms, and ergonomic considerations for XR devices. She also investigates how environmental context (e.g., familiar size, natural scenes) modulates depth perception accuracy across real and virtual environments. Her research emphasizes translational applications, aiming to optimize display technologies through insights from human visual processing. Ongoing work explores perceptual integration of binocular and monocular cues, attention modulation by depth, and the neurophysiological underpinnings of stereoscopic vision.

Giang Tranمشاهده پروفایل

دانشیار

• Sparse Modeling
• Compressed Sensing
• Image Processing
• +۲ مورد دیگر

Dr. Giang Tran is an Associate Professor in the Department of Applied Mathematics at the University of Waterloo, where she leads research in sparse modeling and computational mathematics. She holds a PhD from UCLA and previously served as a Bing Instructor at the University of Texas at Austin. Her research explores sparse optimization techniques with applications in medical imaging, dynamical systems, and data science. Recent publications focus on developing novel algorithms for sparse random feature expansions and dynamical system identification. She mentors numerous graduate and undergraduate researchers through projects on neural networks, transformers, and epidemic forecasting. Awards include the NSERC Discovery Grant and SIAM Student Paper Prize. Dr. Tran teaches advanced courses in numerical methods and functional analysis, contributing to curriculum development in computational mathematics.

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.

Emily Austenمشاهده پروفایل

استادیار

• Ecology
• Evolutionary Biology
• Plant Ecology
• +۳ مورد دیگر

Emily Austen is an Assistant Professor in the Department of Biology at Mount Allison University. Her research focuses on plant ecology and evolutionary biology, with an emphasis on floral traits, pollinator interactions, and phenotypic plasticity. She investigates how environmental changes influence plant reproductive strategies and adaptation, particularly in urban ecosystems and pollinator-dependent systems. Her work integrates field experiments, quantitative genetics, and ecological modeling to understand selection pressures on flowering time, floral coloration, and plant-microbe interactions. Recent projects include studies on white clover adaptation to urban environments and the ecological significance of pollen color variation in Erythronium americanum. Dr. Austen has contributed to foundational reviews in plant sciences education and pioneered methodologies for estimating selection through male fitness in hermaphroditic plants. Her research bridges ecological and evolutionary perspectives, addressing questions about phenotypic variation, adaptation mechanisms, and the interplay between genotype and environment.

Craig S. Kaplanمشاهده پروفایل

استاد

• Computer Graphics
• Computational Geometry
• Mathematical Art
• +۴ مورد دیگر

Craig S. Kaplan is a Professor at the University of Waterloo's David R. Cheriton School of Computer Science within the Faculty of Mathematics. His research bridges computer science and mathematical art, focusing on computational geometry, geometric pattern design, and algorithmic art. He holds degrees including a Ph.D. and M.Sc. from the University of Washington (2002, 1998) and a B.Math. from the University of Waterloo (1996). His work spans applications of mathematics in art and design, including Islamic geometric patterns, computer graphics, and computational geometry. Notable contributions include developing methods for generating Islamic geometric patterns, exploring aperiodic tilings (including the discovery of an aperiodic monotile in 2023), and creating tools for artistic visualization like RepulsionPak and FlowPak. He also engages with digital art forms such as generative algorithms, stereoscopic 3D rendering, and interactive applications for mindfulness and VR. His publications reflect a focus on geometric algorithms, pattern generation, and interdisciplinary art-science projects. Though no explicit awards are listed, his prolific output and contributions to mathematical art suggest significant recognition in his field. His work often emphasizes computational methods for artistic expression, combining rigorous mathematics with creative outcomes.

Roy Crossمشاهده پروفایل

استاد

• fiction
• script writing
• cinema
• +۱۵ مورد دیگر

Roy Cross is a Professor at the Mel Hoppenheim School of Cinema , Concordia University, where he teaches film production. His career spans analog and digital filmmaking , with a focus on low-budget, sustainable practices and liberating parameters in creative education. Cross has received the 2015 Faculty of Fine Arts Distinguished Teaching Award and secured funding from the FRQSC grant , National Film Board , and Telefilm Canada . His research explores early cinema , black-and-white film processing , and non-toxic photochemical techniques through his LabCaf motion picture processing lab. Cross works extensively with 35mm and 16mm formats , often combining silent film aesthetics with modern storytelling in projects like A Dark Blue Sky (2016) and Dream Of The Woman In Blue (2016). Recent projects include still photography experimentation and screen printing , while maintaining active roles in Montreal's Anglophone Improv Theatre community. Scientific awards highlight his pedagogical philosophy , and participation in the Post Image Cluster at Concordia's Milieux Institute demonstrates ongoing interdisciplinary engagement.

Pavlo Antonenkoمشاهده پروفایل

دانشیار

• Educational Technology
• AI Literacy
• STEM Education
• +۴ مورد دیگر

Pavlo Antonenko is an Associate Professor of Educational Technology at the University of Florida's School of Teaching and Learning, and Director of the NeurAL Lab. His work focuses on technology integration in education, particularly AI and cybersecurity literacy. Research Interests: He develops educational technologies for scaffolding learning, with emphasis on AI literacy in K-12 education and cybersecurity education for underrepresented groups. His Shark AI curriculum uses fossil teeth and computer vision to teach paleontology and AI concepts, while the CryptoComics program introduces elementary girls to cybersecurity through narrative-based learning. Publications & Grants: Recent work includes NSF-funded projects (Grants #2147625 and #1849768) exploring technology's role in science education. Articles demonstrate his focus on accessible AI education through hands-on activities and community building. Awards & Collaborations: Funded by multiple NSF grants, he collaborates with Christine Wusylko and Kara Dawson on curriculum development. His work addresses equity in STEM education, particularly through innovative programs targeting girls of color. Community Engagement: Provides teacher training workshops for both curricula, emphasizing community building and ongoing support through regular check-ins and professional development sessions.

Burton Maمشاهده پروفایل

دانشیار

• Medical Imaging
• Biomedical Engineering
• Computer-Assisted Surgery
• +۴ مورد دیگر

Dr. Burton Ma is an Associate Professor in the School of Computing at Queen's University, Canada. Previously, he served as an Assistant Professor at York University (2009–2020) and held an Adjunct Assistant Professor role at Queen's University. He earned his Ph.D. in Computer Science from Queen's University in 2005 and completed a Postdoctoral Fellowship at the Human Mobility Research Centre at Kingston General Hospital. Education: Ph.D. in Computer Science, Queen's University, 2005 Research Interests: Dr. Ma focuses on computer-assisted surgery, including image processing, registration, visualization, surgical planning, and error analysis, with applications in orthopaedic surgery. His work addresses challenges in ultrasound calibration, surgical navigation systems, and medical device design. Notable contributions include line-based calibration frameworks and uncertainty visualization in surgical navigation systems. Awards: Outstanding Paper Award (2018) Outstanding Paper Award (2017) Honorable Mention Best Poster (2015) Advising & Grants: While no formal student advisees are listed, Dr. Ma has collaborated extensively with researchers like Amber Simpson, Randy Ellis, and others on projects funded by grants in surgical robotics and medical imaging. His work bridges academic research with clinical applications in orthopaedic surgery and medical device innovation. Labs & Teams: Affiliated with the Human Mobility Research Centre and Queen's School of Computing labs, his research group focuses on advancing surgical navigation and medical imaging technologies.

• Medical and Surgical Retina
• Ocular Oncology
• Macular Degeneration
• +۳ مورد دیگر

Karim Hammamji is a Clinical Assistant Professor in the Department of Ophthalmology at Université de Montréal 's Faculty of Medicine. As a vitreoretinal surgeon, he specializes in medical and surgical retina with a focus on ocular oncology at the Centre Hospitalier de l'Université de Montréal (CHUM) . He leads the retina division and directs CHUM's vitreoretinal fellowship program.

Gerhard J. Griesمشاهده پروفایل

استاد

• Animal Communication Ecology
• Insect Behavior
• Chemical Ecology
• +۳ مورد دیگر

Gerhard J. Gries is a Professor and NSERC-Industrial Research Chair in Multimodal Animal Communication Ecology in the Department of Biological Sciences at Simon Fraser University. His research focuses on insect, spider, and tick communication ecology, emphasizing semiochemical, sonic, visual, infrared, and bacterial signals, as well as pest management solutions. The Gries Lab collaborates with industry partners (e.g., BASF Canada, Scotts Canada) to develop eco-friendly pest control strategies. The lab’s facilities include analytical chemistry labs, electrophysiology setups, and advanced imaging systems. Research Themes: Animal communication, chemical ecology, pest behavior, and multimodal signaling. Funding: NSERC-IRC, industrial partnerships. Key research interests include understanding how pests like mosquitoes, ants, and spiders use environmental cues and developing sustainable control methods. The lab has trained numerous students (over 100 undergraduates and graduates) and published extensively in entomology and ecology journals. Notable achievements include the 2004 NSERC-IRC award, which supports industry-academic collaboration for triple-win outcomes: scientific advancement, societal benefits, and industrial innovation. The lab’s work on spider-ant interactions and insect pheromones has gained media attention (e.g., NewScientist, National Geographic). Lab facilities include gas chromatography, thermal imaging, and sound/vibration analysis tools, enabling cutting-edge research. Future work focuses on expanding eco-friendly pest solutions and exploring insect communication systems.

• Vision Science
• Psychophysics
• Aging and Visual Perception
• +۳ مورد دیگر

Rémy Allard is an Assistant Professor at the School of Optometry, University of Montréal, specializing in psychophysics of vision. His research examines aging effects on visual perception, particularly motion perception mechanisms and clinical test development for retinal function assessment. With interdisciplinary training spanning computer science, mathematics, and vision sciences, he develops psychophysical tests to study contrast sensitivity and motion perception in aging, resulting in patented diagnostic tools. His research interests focus on psychophysical modeling of aging effects on photoreceptor function, neural noise in visual processing, and clinical test development for early detection of retinal pathologies like age-related macular degeneration. Current projects include developing functional clinical tests to evaluate photoreceptor efficiency and studying motion processing systems. Dr. Allard maintains research affiliations with CRIR, RRSV, and CIRCA. His recent publications demonstrate consistent focus on visual psychophysics, photoreceptor function in aging, and motion perception mechanisms. Research trends show increasing focus on clinical applications and diagnostic tools for retinal diseases. He teaches courses including Psychophysics of Vision, Methodology and Applied Statistics. His research has been supported by multiple grants from Canadian research councils focusing on motion perception systems, visual attention in 3D spaces, and early detection of retinal pathologies.

Xiaolin Wuمشاهده پروفایل

استاد

• Image Processing
• Multimedia Coding and Communication
• Computer Vision
• +۷ مورد دیگر

Dr. Xiaolin Wu is a Professor in the Department of Electrical & Computer Engineering at McMaster University's Faculty of Engineering. With expertise in image processing, multimedia coding, computer vision, and artificial intelligence, he has made groundbreaking contributions to visual/multimedia computing and communication. His research has resulted in over 350 publications and four patents, including the renowned CALIC algorithm for lossless image coding and L3 codec for digital cinema. B.Sc. from Wuhan University (1982) Ph.D. from University of Calgary (1988) Dr. Wu's research spans critical areas such as image restoration (demosaicing, denoising, superresolution), multimedia coding (JPEG, wavelet transforms), and information display (Temporal Psychovisual Modulation). His work on TPVM, featured in MIT Technology Review, redefines display technology by leveraging human vision properties for multi-user VR/AR experiences. Recent publications focus on deep learning applications for image/video restoration, including multi-modality approaches and l∞-constrained compression. His algorithms, such as fast color quantizers and compressive sensing recovery methods, have been widely adopted in industries like medical imaging and digital cinema. Dr. Wu also holds an NSERC Senior Industrial Research Chair and has collaborated with global tech leaders including Microsoft, Nokia, and Huawei. IS&T/SPIE Best Paper Award UWO Distinguished Research Professor Award McMaster Distinguished Engineering Professor Award IEEE Fellow As an educator, Dr. Wu teaches courses in image processing, discrete methods, numerical analysis, and parallel computing, emphasizing algorithm design, data structures, and real-time systems. His work bridges academic research with industrial applications, ensuring practical impact across biomedical imaging, digital security, and smart display technologies.