جست‌وجوی استاد و پژوهشگر

Catherine Laporteمشاهده پروفایل

استاد

• Medical Imaging
• Computer Vision
• Speech Sciences
• +۷ مورد دیگر

Catherine Laporte is a Professor at the Department of Electrical Engineering, École de Technologie Supérieure (ÉTS), Montreal, Canada. She leads research at the LATIS – Health Information Processing Laboratory, focusing on integrating medical images and physiological signals for healthcare innovation. Department: Electrical Engineering Research Lab: LATIS – Health Information Processing Laboratory Her research spans Medical Imaging , Computer Vision , and Speech Sciences , specializing in ultrasound applications for health technologies and intelligent systems. Key areas include: Medical image analysis and segmentation Ultrasound probe navigation and deformation correction 3D anatomical modeling (spine, tongue) Biomechanical studies of bone growth and tissue response Computer vision for healthcare applications Recent publications emphasize robust AI-driven ultrasound analysis for spinal deformities, tongue movement in speech therapy, and biomechanical modeling of bone growth. Her work combines deep learning , real-time segmentation , and multi-modal imaging (MRI, CT, 3D ultrasound). Students under her supervision have completed theses on topics like smart ultrasound systems , 3D vocal tract analysis , and biofeedback for language learners , often co-directed with experts in biomedical engineering and speech sciences. Laporte’s lab, LATIS, collaborates with institutions like the Center for Advanced Studies in Sleep Medicine (Montreal) and McGill University’s interdisciplinary programs, advancing health technologies and intelligent systems for clinical applications.

Heidi Ploegمشاهده پروفایل

استاد

• Musculoskeletal health
• Human movement
• Biomechanics
• +۶ مورد دیگر

Dr. Heidi Ploeg is a Full Professor in the Department of Mechanical and Materials Engineering at Queen's University, holding the inaugural Chair for Women in Engineering. She leads the Queen's Bone and Joint Biomechanics (Q-BJB) Lab, focused on musculoskeletal system mechanics and orthopaedic implant development. Her research integrates experimental and computational methods across scales from whole-body biomechanics to bone microstructure analysis. Education: BSc, MSc, PhD in Mechanical Engineering (Queen's University) Affiliations: ORS Orthopaedic Implants Section Chair, Editorial Board Member (Medical Engineering & Physics), and multiple professional societies Research interests include bone biomechanics, implant fixation, and medical device evaluation. Key projects involve trabecular bone modeling, dental implant stability, and antibiotic-loaded bone cement properties. She has advised over 50 students and secured grants like NSERC Discovery and CFI John R Evans Funds. Publications span biomechanical testing, finite element analysis, and orthopaedic device evaluation. Awards include the Women’s Leadership Forum Award and AAOS Women’s Health Advisory Board recognition. Her lab emphasizes diversity and inclusion, fostering collaborative training environments through industry partnerships and outreach.

KC Collinsمشاهده پروفایل

دانشیار

• Sound Human-Computer Interaction
• Games
• VR/AR
• +۲ مورد دیگر

KC Collins is an Associate Professor at Carleton University in the School of Information Technology. Her research focuses on the intersection of sound, music, and technology, exploring how auditory experiences are shaped by new technologies such as smart tables, mobile devices, video games, virtual reality, and slot machines. Her primary research areas include Sound Human-Computer Interaction, Games, VR/AR, Multimodal Interaction and Perception, and User Experience. She has published extensively on the impact of sound in gaming and gambling contexts, particularly in slot machines and virtual environments, as well as on the design of interactive audio systems. Her work bridges technical audio engineering with psychological and perceptual aspects of user experience. An analysis of her recent publications reveals a consistent theme: the critical role of sound in shaping user perception and behavior in interactive systems. Her research spans from fundamental studies on sound localization and audio-visual integration to applied work in gaming and gambling machines, contributing to both academic knowledge and industry practices. Dr. Collins has been recognized for her scholarly contributions, most notably by being elected to the Royal Society of Canada’s College of New Scholars. This prestigious honor highlights her as an emerging leader in her field. Royal Society of Canada’s College of New Scholars She is actively involved in the academic community, serving on editorial boards for key journals in her field including Sonic Scope, Music, Sound and Moving Image, and Journal of Music and Sound in Video Games. Additionally, she has held leadership roles in program committees for major conferences such as GameSoundCon (Research Track Chair, 2016), IEEE Conference on Games (Sound and Music track Chair, 2019), and ISEA International Symposium on Electronic Arts (2016, 2019). While specific details about her current graduate students and research grants are not provided in the source material, her extensive publication record and community involvement suggest active mentorship and research funding. Similarly, no specific research laboratory or team structure is mentioned, though her work appears to be conducted within the interdisciplinary context of the School of Information Technology.

Rook Bridsonمشاهده پروفایل

استاد مدعو

• Computer Graphics
• Fluid Simulation
• Physical Simulation
• +۳ مورد دیگر

Rook Bridson is an Adjunct Professor in the Department of Computer Science at the University of British Columbia (UBC), affiliated with the Imager and SCL labs. He holds a PhD from Stanford University (2003) and degrees from the University of Waterloo (MMATH '99, BMATH '98). His research focuses on fluid simulation, physical effects in computer graphics, and computational physics, with applications in visual effects and animation. Bridson has contributed to industry through co-founding Exotic Matter AB, creators of the Naiad fluid simulation software acquired by Autodesk. He has been recognized with an Oscar Technical Achievement Award and multiple teaching awards at UBC. Education: PhD in Computer Science, Stanford University, 2003 Master of Mathematics (MMATH), University of Waterloo, 1999 Bachelor of Mathematics (BMATH), University of Waterloo, 1998 Research Interests: Bridson’s work spans fluid dynamics, computational physics, and their applications in film and animation. His research emphasizes realistic simulation techniques, including fluid animation with explicit surface meshes, particle-based methods, and numerical algorithms for handling complex physical phenomena. He has developed influential tools like Naiad, used in major films such as Avatar and Harry Potter . Industry Contributions: Co-founder of Exotic Matter AB (developer of Naiad) Senior Principal Research Scientist at Autodesk Contributions to studios like Weta Digital and Double Negative VFX Grants & Awards: Oscar Technical Achievement Award (Academy of Motion Picture Arts and Sciences) 2012 and 2008 CS Department Teaching Awards (UBC) Best Technical Paper Award (ACM SIGGRAPH/Eurographics Symposium on Computer Animation) Labs & Teams: Active in UBC’s Imager Lab and SCL Lab, focusing on fluid simulation, geometric modeling, and real-time animation techniques. Collaborates with industry partners on advancing visual effects technology.

Thecla Schiphorstمشاهده پروفایل

استاد

• Embodied Cognition
• Movement Knowledge Representation
• Wearable Technology
• +۳ مورد دیگر

Thecla Schiphorst is Professor and Director of the School of Interactive Arts and Technology at Simon Fraser University. Her research bridges dance, computing, and embodied interaction, focusing on movement knowledge representation, wearable technologies, and aesthetics of interaction. With interdisciplinary MA (Dance and Computing Science) from SFU and PhD from University of Plymouth, she applies somatic models like Laban Movement Analysis to technology design. Schiphorst co-developed Life Forms, the choreographic composition tool used by Merce Cunningham for his creations (1990-2005). Her work expands embodied theory applications in HCI through research in tangible interfaces, natural interaction, and experience design. She teaches courses exploring artificial intelligence applications and ethical challenges.

Christopher Palمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Computer Vision
• Pattern Recognition
• +۶ مورد دیگر

Christopher Pal is a Full Professor in the Department of Computer Engineering and Software Engineering at Polytechnique Montréal. With a Ph.D. from the University of Waterloo, he has held academic positions at the University of Rochester and the University of Toronto, and industry roles at Interval Research and Microsoft Research's Interactive Visual Media Group. Fields of Expertise: Artificial Intelligence, Computer Vision, Pattern Recognition, Machine Learning, and Natural Language Processing Affiliations: CIFAR Chair in Artificial Intelligence, Institute for Data Valorization (IVADO) Member His research focuses on deep learning applications in visual question answering , medical image segmentation , and generative models . Recent work involves multimodal data analysis for climate modeling and vision-language systems for code generation. Key projects include CarbonSense for climate flux modeling and GeoCoder for geometry problem-solving AI. His 15 most recent publications (2023-2025) span topics from diffusion models to multi-agent systems , with emphasis on video generation , 3D animation , and environmental applications . Scientific recognition includes: CIFAR Chair in Artificial Intelligence IVADO Institute Membership Top-2% cited researcher (2021) He has supervised 22 Ph.D. and Master's students, with recent graduates working on generative AI , reinforcement learning , and medical imaging . Current research grants include MITACS-funded projects in software engineering agents and drone imagery analysis for tropical forest conservation.

Nicole Li-Jessenمشاهده پروفایل

دانشیار

• upper airway health and diseases
• computational medicine
• tissue engineering
• +۵ مورد دیگر

Nicole Li-Jessen, PhD is an Associate Professor in the Department of Surgery at McGill University's Faculty of Medicine and Health Sciences and holds the Canada Research Chair (Tier 2) in Personalized Medicine of Upper Airway Health and Diseases. She serves as Graduate Program Director for the School of Communication Sciences and Disorders and is an Associate Investigator at The Research Institute of the McGill University Health Centre (RI-MUHC). Dr. Li-Jessen maintains additional affiliations with the Departments of Otolaryngology and Biomedical Engineering, and is a Research Member of Quantitative Life Sciences and McGill Regenerative Medicine Network. Dr. Li-Jessen's research laboratory integrates in vitro, in vivo, and in silico (computational) approaches to study vocal fold biology and wound healing, with the goal of generating computational platforms that guide surgeons and speech pathologists in voice repair methods. Her key research areas include: Non-invasive assessment of airway reflux Designing 3D printable biomaterial for laryngeal tissue and muscle reconstruction Creating wearable e-health devices for upper airway monitoring Agent-based modeling of vocal trauma and repair response Development of tumor-on-a-chip platforms for studying laryngeal cancer chemoresistance Her work is funded by a Canada Research Chair, the CIHR, NSERC, SSHRC, FRQS, and NIH in the United States. Dr. Li-Jessen has published extensively in high-impact journals across biomedical engineering, otolaryngology, and regenerative medicine fields, with recent publications focusing on vocal fold biomaterials, computational modeling of vocal pathology, and audio-based digital biomarkers for respiratory diseases. Dr. Li-Jessen has received several prestigious awards including the Canada Research Chair (2021), Principal's Prize for Excellence in Teaching (2018), and the Rosemary Wedderburn Brown Prize (2018). She serves as Section Editor of PLOS Digital Health and is actively involved in science policy as a Delegate for Science Meets Parliament. As Graduate Program Director, Dr. Li-Jessen oversees graduate thesis programs in the School of Communication Sciences and Disorders and has mentored numerous PhD, Master's, and undergraduate students. She leads the Voice and Upper Airway Research Lab (VUA Lab), which advocates for EDI principles in STEM and currently has open positions for PhD and post-doctoral researchers in computer modeling and digital health projects.

Lesley Isteadمشاهده پروفایل

استادیار

• Computer Graphics
• Stereoscopic 3D
• Film Production Pipelines
• +۹ مورد دیگر

Lesley Istead is an Assistant Professor at the School of Information Technology , Carleton University (joined 2022). She holds a Bachelor and Masters in Mathematics and a PhD in Computer Science from the University of Waterloo, with industry experience in software development and academic experience in lecturing. Research Focus: Computer graphics, stereoscopic 3D, film production pipelines, visual effects, human-computer interaction, machine learning applications Labs: Leads the Media Production AI Lab (MPAIL) Key Research Areas: Visual effects, virtual/augmented reality, animation, big data analytics, film data science, and hybrid conference organization (e.g., Graphics Interface 2022). Her work intersects film production technologies, simulation, and AI-driven media solutions. Selected Publications: Recent projects include studies on gesture-based 3D modeling (2022), emotional color design in horror VR (2023), and stereoscopic disparity adjustment (2014). She teaches courses like ITEC4007 and ITEC4010.

Hao Zhangمشاهده پروفایل

استاد

• Computer Graphics
• Visual Computing
• Geometric Modeling
• +۵ مورد دیگر

Hao Zhang is a Distinguished Professor and IEEE Fellow at Simon Fraser University's School of Computing Science, leading the GrUVi (Graphics & Vision) Lab. He holds a Ph.D. from the University of Toronto's Dynamic Graphics Project and degrees from the University of Waterloo. His research focuses on computer graphics, geometric modeling, and visual computing, with over 200 publications, including 70+ in SIGGRAPH/TOG. He directs research in 3D representation learning, generative models, and fabrication-aware design. Awards include the ACM SIGGRAPH Academy induction (2025) and IEEE Fellow (2024). He advises numerous students, many of whom have become professors or industry leaders. His work spans theoretical contributions (e.g., Test of Time Award for 2013 paper) and applied innovations like Slice3D and ArcPro. He is Technical Papers Chair for SIGGRAPH 2025 and has held roles at Amazon as an Amazon Scholar. Education: Ph.D., Dynamic Graphics Project, University of Toronto MMath and BMath, University of Waterloo Research Interests: Geometric deep learning, 3D vision, CAD representation, spatial AI, computational fabrication. Key projects include neural implicit fields (IM-Net), structured 3D synthesis (BSP-Net), and generative models (LOGAN). Collaborations include Adobe, Autodesk, and Amazon.

• Proteomics
• Structural Biology
• Parkinson's Disease
• +۷ مورد دیگر

Jean-François Trempe is an Associate Professor in the Department of Pharmacology and Therapeutics at McGill University's Faculty of Medicine and Health Sciences. He serves as a Researcher at the McGill University Health Centre Research Institute (IR-MUHC) at the Glen site, where he is affiliated with the Program in Brain Repair and Integrative Neuroscience and the Center for Translational Biology. Dr. Trempe's research program focuses on the structural and pharmacological aspects of proteins involved in Parkinson's disease, particularly Parkin and PINK1. His laboratory investigates how mutations in these proteins lead to early-onset familial Parkinson's disease through disruptions in mitochondrial quality control processes essential for neuronal survival. Using techniques including proteomics, structural biology, crystallography, NMR, and mass spectrometry, his team has made significant contributions to understanding the activation mechanism of Parkin by PINK1 and how these proteins function in mitochondrial maintenance. Current research directions include leveraging 3D structural information to design therapeutic strategies for pathogenic Parkin mutations, exploring how PINK1 detects damaged mitochondria, and investigating the role of Parkin/PINK1 in clearing mitochondrial damage using stem cell-derived neurons and animal models. Dr. Trempe's publication record demonstrates a strong interdisciplinary approach spanning structural biology, biochemistry, and neuroscience. His most recent work includes discoveries regarding molecular glue compounds that activate Parkin, the role of the PINK1-TOM-TIM23 supercomplex in mitochondrial import stress, and connections between Parkin activation and tumor progression. His highly cited 2014 Nature paper demonstrating that ubiquitin is phosphorylated by PINK1 to activate parkin represents a landmark contribution to the field. His research has significant translational implications for developing targeted therapeutic interventions for Parkinson's disease and understanding fundamental cellular quality control mechanisms. Dr. Trempe maintains extensive collaborations within McGill University and with international research teams, particularly with Dr. Edward Fon's laboratory, as evidenced by numerous co-authored publications across multiple high-impact journals.

David Rudkoمشاهده پروفایل

دانشیار

• Neuroimaging
• MRI Methodology
• Biophysical Modeling
• +۵ مورد دیگر

David Rudko is an Associate Professor and Director of the 7T Pre-Clinical MRI Unit at the Montreal Neurological Institute-Hospital (The Neuro), a bilingual academic healthcare institution and McGill University research and teaching institute. He is part of the Brain Imaging Centre (BIC) Core Faculty and serves as a Killam Scholar. His work bridges advanced MRI technology development with neurological disease research, particularly focusing on multiple sclerosis and other neuroimmunological conditions. Dr. Rudko's research centers on the application of novel MRI methodology in conjunction with biophysical modeling to enhance understanding of brain anatomy and physiology. His laboratory develops cutting-edge MRI physics acquisition and post-processing techniques for mapping myelin density, axonal packing, and axonal geometry. A key focus is on ultra-high field (UHF, >3T) MRI, where his team addresses critical challenges including RF field homogenization and static magnetic field inhomogeneities. The lab utilizes both small animal (7T) and human MRI/MRS (3T, 7T) systems in conjunction with optical microscopy and advanced image processing methods. Analysis of Dr. Rudko's recent publications reveals a strong emphasis on multiple sclerosis research using advanced MRI techniques. His work spans from fundamental MRI physics development to clinical applications, with particular attention to cortical pathology, white matter lesions, and iron metabolism in neurological disorders. His research group has made significant contributions to understanding the microstructural basis of neurological diseases through innovative imaging approaches that bridge cellular-level observations with macroscopic imaging metrics. Killam Scholar Dr. Rudko leads the Rudko Lab, which is affiliated with both the Neuroimaging and Neuroinformatics Research Group and the Neuroimmunological Diseases Research Group at The Neuro. His laboratory focuses on developing and applying advanced MRI techniques to understand the cellular and microstructural basis of neurological diseases, with particular emphasis on multiple sclerosis. The lab utilizes a multidisciplinary approach combining physics, engineering, neuroscience, and clinical medicine to advance both the technical capabilities of MRI and its applications to neurological disorders.

Shih-Yang Suمشاهده پروفایل

پژوهشگر

• Human Motion Learning
• 3D Vision
• Character Animation
• +۳ مورد دیگر

Shih-Yang Su is a recent PhD graduate in Computer Science from the University of British Columbia, specializing in Human Motion Learning, 3D Vision, and Character Animation. His research bridges computer vision and graphics, with significant contributions to neural rendering and articulated human modeling. His primary research interests include: Human Motion Learning and Character Animation using neural representations Neural Radiance Fields (NeRF) for articulated objects and human bodies 3D Vision techniques for novel view synthesis and depth inpainting Reinforcement Learning applications in embodied environments His publication record shows a clear progression from reinforcement learning (2017-2018) toward neural rendering and human modeling (2020-2024), with increasing focus on articulated neural representations. Key publications include work on Neural Point Characters (ICCV 2023) and DANBO (ECCV 2022), which address fundamental challenges in representing articulated human bodies. Collaborations span multiple institutions including Meta Reality Labs (with Dr. Michael Zollhöfer and Dr. Timur Bagautdinov), University of Maryland (with Prof. Jia-Bin Huang), Borealis AI (with Dr. Hossein Hajimirsadeghi), and Academia Sinica (with Dr. Yi-Hsuang Yang and Dr. Li Su).

Sudhir P. Mudurمشاهده پروفایل

استاد

• 3D Graphics
• 3D Reconstruction
• Virtual and Augmented Reality
• +۹ مورد دیگر

Sudhir P. Mudur is a Professor in the Department of Computer Science and Software Engineering at Concordia University, Montreal. He has held leadership roles including Chair of the Department and Visiting Professorships at institutions like the Central University of Florida, Ecole Minerales de Nantes, and Michigan State University. With over four decades of experience, Mudur's work spans fundamental and applied research, academic administration, and interdisciplinary collaboration in computer graphics, visualization, and cultural heritage. Education: Bachelor of Technology (B. Tech. Honours) in Electrical and Electronic Engineering, Indian Institute of Technology (IIT) Bombay, 1970. PhD in Computer Science, Tata Institute of Fundamental Research (TIFR), Mumbai, 1976. Research Interests: Mudur focuses on 3D graphics, virtual/augmented reality, computer vision, and cultural heritage documentation. His work includes realistic rendering techniques, geometric modeling, and applications in CAD/CAM, entertainment, and medical visualization. Recent projects involve 3D reconstruction from GIS data, interactive performance systems (ISSv2), and AR/VR for historical narratives. Key Contributions: Development of the Illimitable Space System (ISSv2) for real-time interactive applications in media arts. Advances in point cloud processing and shape reconstruction from unorganized data. Documentation of cultural heritage through virtual environments and 3D scanning. Research on global illumination and Monte Carlo methods in rendering. Leadership in academic administration, including roles at the National Centre for Software Technology (NCST) in India. Awards and Recognition: Best Paper Award at ICVGIP 2002. Silver Prize at Quebec University Research Forum 2006. Third Best Paper Award in Computers & Graphics (1999). Recognition for contributions to Indian computer graphics and software innovation. Teaching: Mudur has taught extensively, including courses on computer graphics, game development, system software, and multimedia computing at Concordia and institutions worldwide. His teaching spans both undergraduate and graduate levels, emphasizing practical skills and theoretical foundations.

Andrew Hogueمشاهده پروفایل

دانشیار

• Virtual Reality
• Game Design for Education
• Stereoscopic Visualization
• +۷ مورد دیگر

Dr. Andrew Hogue is an Associate Professor at Ontario Tech University within the Faculty of Business and Information Technology's Game Development and Interactive Media program. His research focuses on virtual reality (VR), stereoscopic visualization, and user experience optimization. He leads the Game Development Lab, equipping students with cutting-edge technology for research and training. Hogue holds a PhD, MSc, and BSc in Computer Science from York University. He has supervised over 40 undergraduate and five graduate students, securing over $4 million in research funding. His work spans gaming, robotics, simulation, and forensics, with over 30 publications in journals and conferences. Research Interests include developing photorealistic 3D models via photogrammetry, evaluating VR's environmental and design parameters, and enhancing immersive experiences through computer vision. Notable contributions include frameworks for VR user studies (StudyXR/StudyVR) and volumetric video techniques for gaming and education. His articles highlight advancements in volumetric video compression, XR therapeutic tools, and serious games addressing social issues. Collaborations include projects with McMaster Children’s Hospital and IBM, emphasizing real-world applications of VR/AR technologies. Through experiential learning initiatives, Hogue bridges academic research with industry needs, fostering innovation in interactive media and technology-driven solutions.

Nikolaus Trojeمشاهده پروفایل

استاد

• Visual Perception
• Biological Motion
• Sensory Neuroscience
• +۷ مورد دیگر

Nikolaus Troje is a **Full Professor** in the **Department of Biology** at **York University**, affiliated with the **Faculty of Science**. He leads the **BioMotion Lab**, focusing on sensorimotor processes underlying perception, particularly biological motion, face recognition, and virtual reality applications. His work bridges philosophy, computer science, and neuroscience, addressing questions about embodied cognition and perceptual reality. **Research Interests**: Troje studies visual perception, multisensory integration, and spatial awareness using advanced techniques like motion capture and VR. His lab develops tools for analyzing gait patterns, body motion, and the psychological impact of virtual environments. Key themes include how humans perceive agents, process motion cues, and experience self-ownership in virtual spaces. **Articles Trends**: Recent publications emphasize **virtual reality design flaws** (e.g., Zoom’s eye contact issues), **biological motion perception** in congenitally blind individuals, and **applied VR for therapy and training**. He explores interdisciplinary topics like gait analysis in schizophrenia and musical cognition. **Advising & Labs**: Troje supervises graduate students in **Biology**, **EECS**, and **Psychology** programs. The BioMotion Lab collaborates across disciplines, aiming to improve animation, gesture recognition, and VR applications. No scientific awards are explicitly mentioned in the text.