جست‌وجوی استاد و پژوهشگر

Peter D. Lawrenceمشاهده پروفایل

استاد

• Human-Machine Interfaces
• Robotics and Control Systems
• Computer Vision
• +۴ مورد دیگر

Professor Peter D. Lawrence holds a faculty position at the University of British Columbia (UBC) within the Department of Electrical & Computer Engineering, part of the Faculty of Applied Science. He has been a Professor since 1974 and has held visiting research roles at Chalmers University of Technology (1970-1972) and MIT (1972-1974). His educational background includes a B.A.Sc. from the University of Toronto (1965), M.Sc. from the University of Saskatchewan (1967), and Ph.D. from Case Western Reserve University (1970). He is a Professional Engineer (P.Eng.) and Fellow of the Canadian Academy of Engineering (FCAE). Research interests focus on improving human-machine interfaces, sensor technologies for control systems, and medical robotics. Key areas include teleoperation of heavy machinery, vision-based control, EEG-based brain interfaces, and functional approximation methods for complex systems. Collaborations span multiple disciplines at UBC, including Mechanical Engineering, Computer Science, Mining Engineering, and Forestry, with funding from NSERC and PRECARN/IRIS. Medical Robotics: Brain-computer interfaces and ultrasound-guided surgery. Autonomous Systems: Path planning and vision-based tracking for excavators and haul trucks. Sensing Technologies: Eye-tracking, joint-angle sensors, and slip detection for mobile robots. His teaching contributions include coordinating the Project Integrated Program (PIP) for ECE students and co-developing the interdisciplinary New Venture Design course with the Sauder School of Business. He leads the RCL Lab and has authored books on real-time microcomputer systems and contributed to IEEE publications. Awards include recognition as a Fellow of the Canadian Academy of Engineering.

Steven Weijsمشاهده پروفایل

دانشیار

• Water Resources Management
• Mountain Hydrology
• Catchment Hydrology
• +۴ مورد دیگر

Dr. Steven Weijs is an Associate Professor and Associate Head (Graduate Programs) in the Department of Civil Engineering at the University of British Columbia (UBC), part of the Faculty of Applied Science. He leads research in water resources management, hydrology, and information theory applications in environmental systems. His work explores optimizing information flows from observations to decision-making in complex water systems. Education: PhD (2011) and M.Sc. (2004) in Water Resources Management from TU Delft, Netherlands. Postdoctoral Research: AXA Research Fund fellowship (2011–2013) at EPFL, Switzerland, followed by roles in environmental fluid mechanics and cryospheric science groups. Research Interests: Mountain hydrology, catchment dynamics, flood forecasting, uncertainty quantification, and information theory-based monitoring strategies. He teaches CIVL 418 Engineering Hydrology and contributes to UBC’s Master of Engineering Leadership in Integrated Water Management. Publications focus on sensor networks, data-driven hydrology, flood analysis, and environmental decision-making. Notable work includes novel methods for streamflow prediction in ungauged basins and optimal monitoring network design. Awards: Leading Scholar (Green College, 2016–2018), AXA Research Fund Postdoctoral Fellowship. He collaborates on projects like WeSenseIt, a citizen observatory initiative, and develops low-cost sensing technologies for hydrological monitoring. His research bridges theoretical frameworks with practical applications in water resource management.

• Software Engineering
• Productivity Tools
• Human-Computer Interaction
• +۶ مورد دیگر

Gail C Murphy is a Professor in the Department of Computer Science at the University of British Columbia and currently serves as Vice-President Research & Innovation. She is also a co-founder of Tasktop Technologies Incorporated. Her research focuses on improving the productivity of knowledge workers, particularly software developers, through empirical studies and tool development for large software system evolution. Professor, Department of Computer Science, University of British Columbia Vice-President Research & Innovation, University of British Columbia Co-founder, Tasktop Technologies Incorporated Her research spans software engineering, human-computer interaction, and productivity tools. Key areas include task context modeling, code refactoring, developer collaboration in hybrid teams, and the application of generative AI in software development practices. Recent publications highlight trends in leveraging semantic analysis for task-relevant information identification, empirical studies on developer productivity, and the integration of human-centered AI tools in software engineering workflows. Awards include the IEEE Harlan Mills Award (2018) and an Impact Award (2022). Contact details include the University of British Columbia (VPRIO) address at Suite 580, 1958 Main Mall, and the Computer Science department at 201-2366 Main Mall, Vancouver, BC, Canada. Phone numbers and emails are provided for liaison purposes.

Jon Mikkelsenمشاهده پروفایل

استاد آموزشی

• Naval Architecture
• Ocean Engineering
• Sustainable Fishing Technologies
• +۵ مورد دیگر

Jon Mikkelsen is a Teaching Professor and Director of Naval Architecture and Marine Engineering at the University of British Columbia (UBC), Faculty of Applied Science, Department of Mechanical Engineering. He specializes in maritime engineering, sustainable fishing technologies, and mechanical design pedagogy. Educational Background: B.A.Sc. in Mechanical Engineering, UBC M.A.Sc. in Mechanical Engineering, UBC Mikkelsen's research focuses on naval architecture, including hullform optimization, hydrodynamics of waterfowl, and vertical axis ocean turbines. He has developed laser-based wave measurement systems and collaborated with British Columbia First Nations (Gitksan, Tsimshian, Stó:lō, Wet’suwet’en, Gitanyow) to modernize traditional fishing gear for selective salmon harvesting. His work integrates engineering principles with ecological conservation. Scientific Awards: SNAME Faculty Advisor of the Year Award, 2023 Peter Larkin Award, 2016 Wighton Fellowship, 2006 OMAE Conference Appreciation Award, ASME, 2005 As director of the Naval Architecture and Marine Engineering program, Mikkelsen mentors undergraduate design teams in projects ranging from autonomous sailboats (UBC Sailbot) to supermileage vehicles (TIME Magazine top invention, 2006). His publications span maritime engineering, renewable energy, and engineering education. He has secured grants from Fisheries and Oceans Canada for sustainable fishing initiatives.

Benjamin Wolfeمشاهده پروفایل

استادیار

• Visual Perception
• Cognitive Neuroscience
• Human Factors
• +۵ مورد دیگر

Dr. Benjamin Wolfe is an Assistant Professor at the University of Toronto Mississauga in the Department of Psychological & Brain Sciences. He co-directs the APPLY Lab (Applied Perception and Psychophysics Laboratory), focusing on use-inspired research at the intersection of vision science and real-world problems. His work bridges visual psychophysics and human factors, particularly examining driver behavior and digital readability. He is affiliated with the PsychEng program, Data Sciences Institute, Mobility Network at University of Toronto, and the Centre for Vision Research at York University. Education: B.A., Boston University Ph.D., University of California, Berkeley (2015) Dr. Wolfe's research explores visual perception, attention, and eye movements in dynamic environments like driving. His lab investigates how drivers acquire visual information, the impact of distractions on hazard detection, and the role of typography in digital readability. Key projects include understanding the low-prevalence effect in road safety and optimizing eye-tracking paradigms for real-world applications. Recent publications highlight trends in driver behavior, typography effects on reading efficiency, and peripheral vision's role in multitasking. His work is supported by NSERC, the Connaught Fund, Adobe, SSHRC, and Transport Canada. Scientific Awards: NSERC Discovery Grant Connaught Fund New Researcher Grant Adobe Awards SSHRC Insight Grant Transport Canada ERSTPP funding Dr. Wolfe supervises graduate students including Zainab Haseeb (studying font impacts on readability) and Silvia Guidi (variable font research). His lab collaborates with Mechanical and Industrial Engineering at University of Toronto and the Human Factors and Applied Statistics Lab.

• Computer Vision
• Image Processing
• Systems Modeling
• +۳ مورد دیگر

Christian Moisan is an Associate Professor affiliated with the Computer Vision and Systems Laboratory at Université Laval, with a professional base at CHUQ - Pavillon Saint-François d'Assise. His work bridges academic research and clinical applications through advanced imaging and system analysis. His research focuses on computer vision and image processing, particularly in the context of biomedical applications. Key areas include pattern recognition, artificial intelligence integration in visual systems, and the development of robust models for analyzing complex image data. The interdisciplinary nature of his work supports applications in healthcare diagnostics and medical imaging systems. The available publications indicate a sustained contribution to the field of computer vision, with a likely focus on algorithmic development, image analysis techniques, and system integration for real-world applications. While specific titles are not provided, the volume (14 publications) suggests a consistent research trajectory over time. No scientific awards were mentioned in the provided text. There is no information available about student advising or research grants. However, his affiliation with a prominent research laboratory implies potential involvement in collaborative projects and supervision within the graduate program at Université Laval. Christian Moisan is associated with the Computer Vision and Systems Laboratory, a research group dedicated to advancing methodologies in visual data analysis and system automation, likely contributing to both academic and clinical innovations.

David Rokebyمشاهده پروفایل

استادیار

• New Media Art
• Interactive Installations
• Digital Surveillance
• +۳ مورد دیگر

David Rokeby is an Assistant Professor (Teaching Stream) at the University of Toronto and Director of the BMO Lab. He is an internationally renowned new media artist with a 40-year career examining human relationships with digital systems, focusing on surveillance, artificial intelligence, and interactive installations. 2018-2019 JHI Artist-in-Residence (Jackman Humanities Institute) Representation: Pari Nadimi Gallery Education : BFA in Experimental Art, Ontario College of Art (1984) His research explores critical intersections of technology and humanity , including automated surveillance systems , computer vision limitations , and philosophical differences between human/machine intelligence . Works like Very Nervous System (1982-) pioneered gesture-to-sound translation, while Sorting Daemon (2003) critiques algorithmic profiling. Article analysis reveals consistent engagement with interactive systems , digital ethics , and perception studies across his publications. Recent projects examine tactile virtuality and spatiotemporal relationships in digital environments. Scientific Recognition : First BAFTA Award for Interactive Art (2000) World Technology Award for the Arts (2004) Prix Ars Electronica Golden Nica (2002) First Petro-Canada Award for Media Arts (1988) His work has received continuous funding from Canada Council for the Arts and Ontario Arts Council , with permanent installations in major institutions including London Science Museum and Technopolis Brussels. Collaborations span Le Fresnoy Studio National des Arts Contemporains and Wood Street Galleries .

Mohammad Nadimiمشاهده پروفایل

استادیار

• Photonics and Spectroscopy
• Agri-Food Quality Monitoring
• Machine Learning and Artificial Intelligence
• +۷ مورد دیگر

Mohammad Nadimi is an Assistant Professor in the Department of Biosystems Engineering at the Price Faculty of Engineering, University of Manitoba. He holds a PhD in Electrical Engineering from the same institution and has a multidisciplinary research profile spanning photonics, food quality, and data analytics. His work focuses on integrating advanced optical techniques with machine learning to improve agri-food production and storage systems. Education: PhD in Electrical Engineering, University of Manitoba, 2018 M.Sc. in Electrical Engineering, Iran University of Science and Technology, 2011 Dr. Nadimi's research centers on real-time quality monitoring of agri-food products using electromagnetic imaging, spectroscopy, and smart sensing technologies. He applies machine learning and AI to optimize data analysis in large-scale agricultural datasets. His work also includes microstructural analysis of food materials and laser-based biostimulation to enhance crop viability. These efforts aim to reduce post-harvest losses and improve food safety and sustainability. The selected publications reflect a strong trend in applying photonics and artificial intelligence to food quality assurance. Key areas include hyperspectral imaging, NIR spectroscopy, terahertz sensing, and deep learning models for contamination detection, spoilage prediction, and structural analysis of grains and legumes. His work bridges engineering innovation with practical agricultural challenges. Scientific Service: Senior Editor, Measurement: Food (Elsevier) Dr. Nadimi has published over 40 peer-reviewed journal articles and 20 conference papers. He is actively involved in graduate education and is currently seeking new students for research projects. His industry experience as a Senior Data Analyst at Wawanesa Insurance further strengthens his expertise in big data analytics and risk modeling. He leads a research program that combines experimental photonics with computational intelligence to develop next-generation food monitoring systems. Laboratory and Research Team: Dr. Nadimi's research group focuses on developing integrated photonics and data analytics solutions for agri-food systems. The team works on sensor development, machine learning model training, and real-time monitoring platforms for grain and oilseed storage environments.

• Computational Terminology
• Natural Language Processing
• Corpus Linguistics
• +۴ مورد دیگر

Patrick Drouin is a Professor and Department Director at the Université de Montréal , based in the Faculté des arts et des sciences and the Departement de linguistique et de traduction . His research focuses on computational terminology, corpus linguistics, and the automatic acquisition of specialized lexicons. He leads major projects like the NÉONUM initiative for monitoring Quebec French neology and the Lexique entre humains et machines team exploring human-machine lexical interactions. Teaching: He teaches advanced terminology (TRA-3455), localization workshops (TRA-6301), and directs programs in Linguistics and Translation at both undergraduate and graduate levels. Over 10 PhD and Master's students have been supervised by Drouin since 2007, focusing on topics like semantic shifts, terminological evolution, and corpus-based lexicography. Research Projects: Co-leads interdisciplinary teams funded by FRQSC and SSHRC, including studies on morphophonological variation via Twitter data, transdisciplinary vocabulary for primary education, and the historical analysis of terminology in translation studies. Key contributions include the SyllabO+ corpus and the QC-FR-Diac-V1 semantic shifts dataset. Grants: Secured over CAD 2M in funding for projects like Twitter-MPhon (2021–2025) and Lexiques nucléaires (2019–2025), emphasizing computational methods in linguistic research. Labs/Teams: Active in the Equipe SE (Lexical Studies) and collaborates with institutions like IRIC for biology-informatics interfaces. His work bridges theoretical linguistics with applied technologies for terminology management and language education.

• Manufacturing Automation
• Design Engineering
• Sensor Systems
• +۳ مورد دیگر

Colin Bradley is a Professor in the Department of Mechanical Engineering at the University of Victoria (UVic). His expertise spans manufacturing automation, design engineering, and advanced sensor systems. He holds a PhD and is a Professional Engineer (P.Eng). His research focuses on adaptive optics for astronomy, exoplanet imaging, and fiber-optic sensor technologies. Bradley has contributed to major projects like the Gemini Planet Imager (GPI) and the Maunakea Spectroscopic Explorer, advancing instrumentation for large telescopes. His work integrates mechanical engineering principles with cutting-edge optical systems. Recent research includes developing high-contrast imaging techniques, photon-counting wavefront sensors, and novel gas sensing methods using photonic crystal fibers. He has collaborated on international initiatives such as the NSERC CREATE program for observatory technologies and the TIKI project for Earth-like planet detection. His publications span adaptive optics, sensor design, and mechanical control systems for robotics and underwater vehicles.

• Ophthalmology
• Retinal Surgery
• Medical Imaging Analysis
• +۳ مورد دیگر

Renaud Duval is a Clinical Associate Professor in the Department of Ophthalmology at the University of Montreal's Faculty of Medicine. He directs the Ophthalmology Fellowship Program and leads retinal services at the Centre universitaire d’ophtalmologie (Hôpital Maisonneuve-Rosemont). His clinical practice integrates surgical innovation, medical education, and research supervision for medical students, residents, and fellows. Education: MD CM, McGill University (2006) Residency in Ophthalmology, Université de Montréal (2011) Fellowship in Vitreoretinal Surgery, Rush University/Illinois Retina Associates (2013) His research bridges clinical ophthalmology and technology development. Primary interests include: retinal pathophysiology (age-related macular degeneration, diabetic retinopathy), surgical innovation (new instrument design, vitrectomy techniques), AI integration for automated analysis of OCT/fundus images, and tele-ophthalmology frameworks for remote diagnostics. He co-authored Canadian tele-retina screening guidelines and develops deep learning models for lesion segmentation in retinal imaging. Publications emphasize translational applications: 65% focus on surgical outcomes (vitrectomy mechanics, intraocular pressure dynamics), 25% on AI/imaging diagnostics, and 10% on infectious/inflammatory retinopathies. Recent work demonstrates strong convergence of biomechanical modeling (ocular rigidity) and AI-driven image analysis. Awards & Honors: 6× Rhett Buckler Awards (ASRS Film Festival, 2012-2019) for innovative surgical videos ASRS Junior Achievement Award (2015) Dean’s Honour List (McGill 2006, UdeM 2011) Robert Forsyth/Francis Williams Prizes (McGill, 2006) He leads or co-investigates clinical trials (6+ as PI/co-I) and secured CIHR funding for a 5-year project (2022-2026) developing an OCT-controlled subretinal drug injection system for preclinical research. As director of fellowships, he oversees advanced ophthalmology training programs. Affiliations include the Vision Health Research Network (RRSV), emphasizing collaborative retinal research.

Pierre-Majorique Légerمشاهده پروفایل

استاد

• User Experience (UX)
• Human-Computer Interaction (HCI)
• Human-Centered AI (HCAI)
• +۲ مورد دیگر

Pierre-Majorique Léger is a Full Professor at the Department of Information Technology , HEC Montréal. He serves as Director of the ERPsim Laboratory , Co-Director of Tech3Lab , and holds the Chair in User Experience IVADO . His research focuses on User Experience (UX) , Human-Computer Interaction , Human-Centered AI , NeuroIS , and Serious Games for Learning . M.Sc.A. (Industrial Engineering), Polytechnique Montréal Ph.D. (Electrical Engineering), Polytechnique Montréal Postdoctoral Fellowship (Information Technology), HEC Montréal His research interests combine neuroscience with information systems, examining: Cognitive load measurement in digital environments Human-AI collaboration dynamics Neuroadaptive interfaces User behavior in e-commerce Technostress mitigation UX evaluation in VR/AR Recent research trends show: Systematic reviews on AI ethics in industry/education Neurophysiological studies using EEG/fNIRS Experiments on multimodal interfaces Gamification effectiveness analysis Scientific Awards : IVADO Chair in User Experience Grand Prix de recherche (2024) Multiple best paper nominations (2020-2022) Advising & Grants : Directed 3 PhD theses and 74 MSc theses (2020-2025) Secured funding for ERPsim Lab's $2M research grant Collaborated with Tech3Lab on international projects Laboratories : Co-Director, Tech3Lab Director, ERPsim Laboratory IVADO-affiliated researcher

Elkafi Hassiniمشاهده پروفایل

استاد

• Data-Driven Optimization
• Supply Chain Management
• Big Data Analytics
• +۸ مورد دیگر

Dr. Elkafi Hassini is a tenured Professor in the Operations Management department at McMaster University 's DeGroote School of Business. As Associate Dean, Research , he drives academic innovation while maintaining an active research agenda in supply chain analytics and sustainability. Key research themes include data-driven optimization , IoT integration , and supply chain risk management Active in smart freight systems , food delivery logistics , and urban delivery networks Lectures on applied optimization and procurement strategy His work has been published in top journals including Production and Operations Management , European Journal of Operational Research , and INFORMS Journal on Applied Analytics . Recent research explores: Time-slot pricing in on-demand delivery IoT-enabled supply chain visibility Freight bottleneck analytics Equitable ride-sharing design Post-pandemic logistics transformation Awarded by CFI , NSERC , and SSHRC , he leads the Smart Freight Centre partnership and advises on Peel Region e-commerce logistics. Collaborations include researchers from King Fahd University and Harbin Institute of Technology .

Sameh Al Natourمشاهده پروفایل

دانشیار

• Electronic Commerce
• Decision Support Systems
• Information Systems Adoption
• +۱ مورد دیگر

Dr. Sameh Al Natour is an Associate Professor and Director of the Information Technology Management program at the Ted Rogers School of Management, Toronto Metropolitan University. His academic credentials include a PhD and MSc from the University of British Columbia, and an MBA and BS from Simon Fraser University. His research explores: Design of human-computer interfaces and decision support systems Adoption patterns in information systems and e-commerce platforms Trust dynamics in computer-mediated communication Virtual advisor effectiveness and user disclosure behaviors Recent publications (2020-2021) focus on privacy in mobile apps, sentiment analysis applications, and methodologies to enhance decision-aid relevance. His work consistently appears in FT50-listed and A*-rated journals. Major Awards: Dean’s Scholarly Award (2021-2022) TRSM Teaching Innovation Award (2021) Best Reviewer Award, ICIS (2016) Multiple TRSM Research Recognition grants (2020-2021) He oversees undergraduate and graduate courses in information systems foundations, strategy, and global technological trends.

Ettore Merloمشاهده پروفایل

استاد

• Cybersecurity
• Artificial Intelligence
• Software Engineering
• +۵ مورد دیگر

Ettore Merlo is a Full Professor in the Department of Computer Engineering and Software Engineering at Polytechnique Montréal, where he leads research in cybersecurity, artificial intelligence, and software systems. He holds an M.Sc. from the University of Turin and a Ph.D. from McGill University. His affiliations include membership in the Institute for Data Valorization (IVADO), focusing on data science and AI innovation. His research integrates software engineering with AI, emphasizing: Software artifact analysis (static/dynamic/symbolic) AI-driven security solutions for clone detection, malware analysis, and access control Fairness and robustness in machine learning systems Evolutionary analysis of software vulnerabilities Recent publications (2022-2025) demonstrate a strong focus on ethical AI, including bias mitigation in neural networks, automated anomaly detection, and certification of safety-critical ML systems. His work frequently applies graph neural networks, unsupervised learning, and formal verification methods to industrial and cybersecurity challenges. Professor Merlo has supervised 25 graduate students (10 PhD, 15 Master's), with projects ranging from avionics software to phishing kit analysis. While no scientific awards are listed, his extensive publication record includes 136 works spanning journals, conferences, and technical reports. Collaborations include partnerships with industrial telecommunication firms and international academia. No dedicated lab is specified, but his research aligns with Polytechnique Montréal's 'New Frontiers in Information and Communications Technologies' center.