جستجوی استاد راهنمای دانشگاهی

John E. Lewis is a Full Professor in the Department of Biology at the University of Ottawa, affiliated with the Faculty of Science. His research focuses on systems neurobiology and computational neurobiology, particularly exploring how neural dynamics mediate sensory processing and behavior in weakly electric fish. His work spans electrophysiology, computational modeling, and quantitative behavior analysis. Education details are not explicitly provided, but his extensive publications suggest advanced training in neuroscience and biophysics. Research interests include the physics of electric fields in sensory systems, neural network energetics, and the biophysical mechanisms underlying electric organ discharges. His lab studies are supported by NSERC and the University of Ottawa. Notable collaborations include work on electrosensory signal processing and the development of tools like ELFENN and fish2eod . He advises numerous graduate and undergraduate students, with a focus on interdisciplinary projects combining biology, physics, and engineering. Labs/Teams: Lewis Lab (uOttawa) focuses on electric fish neurobiology, supported by NSERC grants. The lab acknowledges its location on unceded Algonquin territory.

• Systems Neurobiology
• Computational Neurobiology
• Electrophysiology
• +۶ مورد دیگر

Dr. Dimitri Androutsos is an Associate Dean (Undergraduate Studies and Student Affairs) and Professor in the Department of Electrical, Computer, and Biomedical Engineering at Toronto Metropolitan University. He holds a BASc, MASc, and PhD in Electrical Engineering from the University of Toronto, and is a PEng-registered professional. His expertise spans Digital Signal Processing, Computer Vision, and Medical Imaging applications, with a focus on image manipulation, super-resolution, and AR/VR technologies. Education: PhD in Electrical Engineering, University of Toronto (1999) MASc in Electrical Engineering, University of Toronto (1994) BASc in Electrical Engineering, University of Toronto (1992) Research Interests: Dr. Androutsos explores advanced image and video processing techniques, including computational photography, stereoscopy, and AI-driven medical diagnostics. His work integrates machine learning and computer vision to address challenges in biomedical applications such as tumor cell detection, surgical navigation systems, and automated pathology analysis. Recent trends in his publications emphasize AI tools for improving diagnostic accuracy in breast cancer through techniques like Ki67 index quantification and domain adaptation for medical imaging. Professional Engagement: He is a Senior Member of IEEE and has held roles such as General Co-Chair for IEEE ICASSP 2021. His research bridges academic and applied domains, with contributions to augmented reality systems for surgical workflows and energy-efficient video processing algorithms. Labs & Teams: As a faculty member, he contributes to interdisciplinary projects within the Department of Electrical, Computer, and Biomedical Engineering, focusing on medical imaging, computer vision, and AI applications in healthcare.

• Computer Vision
• Medical Applications
• Digital Image Processing
• +۶ مورد دیگر

Prof. Jocelyn Faubert is a Full Professor at the Université de Montréal's School of Optometry, holding the NSERC/Essilor Industrial Research Chair in Visual Function. His research focuses on perceptual and sensory aspects of vision, especially in dynamic environments involving motion, texture, and 3D tracking. He pioneered the NeuroTracker technology, a virtual reality system used for perceptual-cognitive training in sports and clinical settings. Education: Ph.D. (Experimental Psychology - Visual Psychophysics), Université Concordia (1991) M.Sc. (Experimental Psychology - Visual Psychophysics), Université Concordia (1986) B.Sc. (Honors in Experimental Psychology), Université Concordia (1984) Research Interests: Neurophysiological mechanisms of visual perception, VR applications for athlete training, cognitive enhancement in aging populations, and clinical tools for assessing vision-related deficits. His work spans sports science, neurorehabilitation, and optometry. Grants & Awards: NSERC/Essilor Industrial Research Chair (2003–present) Emerson Woodruff Medal (2006), Joe Brunneni Award (2009) Over 120 peer-reviewed publications and multiple patents in biomedical devices and VR systems. Notable Projects: NeuroTracker development for concussion assessment and performance training Clinical studies on driving safety in elderly populations Virtual reality systems for postural control research Labs & Teams: Director of the Psychophysics and Vision Perception Laboratory, affiliated with CRIR (Rehabilitation Research Center) and CIRCA (Brain and Learning Research Center).

• Vision Science
• Neurophysiology
• Perceptual-Cognitive Training
• +۴ مورد دیگر

Hugh R. Wilson is the ORDCF Professor of Biological & Computational Vision at York University, holding joint appointments in the Departments of Biology, Psychology, Mathematics, and Computer Science. Previously, he held a professorship in Ophthalmology & Visual Science at the University of Chicago (1985–2000). His research focuses on psychophysics, visual network models, and nonlinear dynamics in neuroscience. Wilson is a Fellow of the Optical Society of America and authored the influential book Spikes, Decisions & Actions: Dynamical Foundations of Neuroscience (Oxford University Press, 1999), which explores nonlinear systems in brain function. His work spans experimental and theoretical domains, including studies on motion perception, face recognition, and cortical neuron modeling. Key projects include investigating global orientation pooling in visual area V4, dynamics of binocular rivalry, and neural mechanisms of migraine aura. His neural network models integrate physiology, anatomy, and psychophysical data to explain visual functions. Wilson’s research has been published in journals like Vision Research , Nature , and Journal of Theoretical Biology . He has received grants for projects on visual adaptation, migraine-related visual phenomena, and developmental face perception. His lab at York University employs MATLAB simulations and fMRI techniques to study neural dynamics and visual processing across age groups and clinical populations. He is also involved in educational initiatives, including developing computational tools for neuroscience education and mentoring early-career researchers in theoretical and experimental vision science.

• Visual Neuroscience
• Computational Vision
• Neural Network Models
• +۵ مورد دیگر