جست‌وجوی استاد و پژوهشگر

Luis Alberto Torres Cruzمشاهده پروفایل

استادیار

• Geotechnical Engineering
• Tailings Management
• Slope Stability Analysis
• +۲ مورد دیگر

Luis Alberto Torres Cruz serves as Assistant Professor and Teck Professor in Tailings Management and Innovation at the University of British Columbia's Norman B. Keevil Institute of Mining Engineering within the Faculty of Applied Science. His appointment commenced in 2024 following significant contributions to geotechnical engineering research and education. Educational background includes: Bachelor of Civil Engineering, Universidad del Valle (Cali, Colombia) PhD in Geotechnical Engineering, Wits University (Johannesburg, South Africa) Dr. Torres-Cruz's research critically addresses tailings dam safety through geotechnical stability analysis , remote sensing applications , and advanced laboratory/in situ testing . His work integrates satellite imagery analysis with traditional geotechnical methods to prevent catastrophic failures, focusing on particle characterization, slope stability, and liquefaction potential in mine waste facilities. This interdisciplinary approach bridges civil engineering with environmental risk management. Analysis of his 15 most recent publications reveals dominant trends in tailings dam failure prevention , remote sensing validation , and material behavior characterization . Key thematic clusters include satellite-based deformation monitoring, particle morphology effects on stability, and critical state soil mechanics applications to non-plastic tailings. His research consistently emphasizes practical implementation for industry safety improvements. Scientific recognition includes: RM Quigley Award Honourable Mention (Canadian Geotechnical Journal) Two-time Jennings Award winner (South African Institution of Civil Engineering) Dr. Torres-Cruz actively collaborates with mining companies, consulting firms, and academic institutions globally. He teaches graduate courses including MINE 380 (Mine Waste Management), MINE 486 (Mining and The Environment), and MINE 581 (Safety of Tailings Storage Facilities), while maintaining research partnerships focused on tailings innovation. His work with the Teck Resources partnership drives industry-relevant solutions for tailings management. As a chartered UK engineer and member of the Institution of Civil Engineers, he contributes to the Norman B. Keevil Institute's mission through the Tailings Management Research Group, where his team develops advanced monitoring techniques and stability assessment protocols for mine waste facilities worldwide.

Carl Ollivier-Goochمشاهده پروفایل

استاد

• Computational Fluid Dynamics
• Algorithm Development for CFD
• Applied Aerodynamics
• +۵ مورد دیگر

Carl Ollivier-Gooch is a Professor and Associate Head of Equity, Diversity, Inclusion, Indigeneity & Engagement at the Department of Mechanical Engineering, Faculty of Applied Science, University of British Columbia (UBC). His research focuses on computational fluid dynamics, particularly algorithm development for computational aerodynamics, high-order accurate methods, unstructured mesh adaptation, and error assessment and control. Dr. Ollivier-Gooch received his B.A. in Russian and B.S.M.E. from Rice University, followed by M.S. and Ph.D. degrees from Stanford University. He is a Member of ASME, Senior Member of AIAA, and Member of the Canadian CFD Society. His educational background combines engineering expertise with strong mathematical foundations. Dr. Ollivier-Gooch's research spans multiple critical areas in computational fluid dynamics. His work on algorithm development aims to combine the geometric flexibility of unstructured mesh methods with the accuracy benefits of high-order methods. He has developed highly efficient, high-order accurate methods for inviscid compressible aerodynamics problems, demonstrating that high-order methods can achieve engineering accuracy more quickly than second-order methods. His research group also studies unstructured mesh generation, developing techniques for mesh improvement and refinement, particularly for anisotropic meshes used in high Reynolds number viscous flows. Additionally, his work on error assessment and control seeks to provide known error bounds for CFD simulations, improving understanding of error for unstructured mesh finite volume methods. His research on stability and convergence addresses problems where aerodynamics simulations don't converge properly to steady-state. Analysis of Dr. Ollivier-Gooch's recent publications reveals a strong focus on numerical stability, mesh optimization, and high-order methods in computational fluid dynamics. His work consistently addresses challenges in unstructured mesh methods, with particular emphasis on improving stability, convergence rates, and error estimation. The research shows a progression toward more sophisticated techniques combining traditional numerical methods with machine learning approaches for mesh optimization and stability improvement. His recent work has increasingly integrated modal analysis and machine learning techniques to identify problematic mesh features and improve solution convergence. Member ASME Senior Member AIAA Member Canadian CFD Society Dr. Ollivier-Gooch leads the ANSLab (tetra.mech.ubc.ca/ANSLab), which has developed a widely used software library for unstructured mesh generation that has been downloaded by over 6000 users in 62 countries since 1998. His research group develops techniques that take advantage of both the geometric flexibility of unstructured mesh methods and the accuracy benefits of high-order methods. They have written and maintain a software library for unstructured mesh generation that has been freely available for non-profit use since January 1998, now in its tenth version, with applications spanning fluid and solid mechanics, cancer research, microbiology, and simulation of star and planet formation.

Robert Tremblayمشاهده پروفایل

استاد

• Seismic Design
• Steel Structures
• Concrete Structures
• +۴ مورد دیگر

Robert Tremblay is a Full Professor at the Department of Civil, Geological and Mining Engineering at Polytechnique Montréal. He holds a B.Sc.A. from Laval University, an M.Sc. from Laval University, and a Ph.D. from the University of British Columbia. His expertise spans seismic design, structural stability, steel and concrete materials, and earthquake engineering. Affiliations: Groupe de recherche en génie des structures (GRS), Centre d’études interuniversitaire des structures sous charges extrêmes (CEISCE) Research Interests: Seismic design of steel and concrete structures, dynamic analysis, structural stability, cold-formed steel sections, bridge engineering Recent Publications: Focus on seismic coefficients for composite walls, buckling-restrained braced frames, and machine learning applications in bridge pier simulations Scientific Recognition: Recipient of the 2021 Discovery Grant and ranked among the top 2% most cited scientists in his field. Supervised 63 graduate students, including 16 PhD candidates. Media frequently cites his work on Montreal’s earthquake vulnerability and Champlain Bridge research.

Shu Liمشاهده پروفایل

دانشیار

• Risk Theory
• Ruin Theory
• Stochastic Modeling
• +۴ مورد دیگر

Shu Li is an Associate Professor in the Department of Statistical and Actuarial Sciences at Western University's Faculty of Science. Their research focuses on risk theory, ruin theory, stochastic modeling, and predictive analytics in insurance and finance. Recent work includes advancements in generalized drawdown processes, active learning applications for variable annuity portfolios, and generalized Poisson regression models for insurance claims. Publications frequently appear in top-tier journals like Insurance: Mathematics and Economics and ASTIN Bulletin. Scientific awards include professional designations as Associate of the Society of Actuaries (ASA) and Associate of the Canadian Institute of Actuaries (ACIA). They supervise graduate students in research areas related to financial risk management and contribute to Canada’s Financial Wellness Lab.

• Materials Science
• Chemical Engineering
• Nanotechnology
• +۳ مورد دیگر

Emily Cranston is an Adjunct Associate Professor in the Department of Chemical Engineering at McMaster University , where she holds the Canada Research Chair in Bio-Based Nanomaterials . Her research focuses on advanced applications of cellulose nanocrystals (CNCs) in polymer composites, biomedical materials, and sustainable technologies. Research Interests Cellulose nanocrystal surface modification Mechanical properties of bio-based composites Injectable hydrogels for tissue engineering Green adhesive systems Nanocellulose in energy storage devices Biodegradable foam insulation materials Recent Work Trends 2024-2025 studies on water-based hydrophobization strategies Investigations into CNC-lateX interactions for coatings Advancements in vaccine delivery systems using nanocellulose Structural analysis of wood particles for insulative foams Awards Canada Research Chair in Bio-Based Nanomaterials Teaching Instructor for CHEMENG 2G03: Problem Solving and Technical Communication (2018)

Zhong Liمشاهده پروفایل

دانشیار

• Water Resources Systems
• Machine Learning Applications in Hydrology
• Climate Change Impact on Hydrological Processes
• +۴ مورد دیگر

Zhong Li is an Associate Professor in the Department of Civil Engineering at McMaster University, specializing in water resources systems, environmental modeling, and machine learning applications. His research focuses on integrating advanced computational techniques with hydrological processes to address climate change impacts, infrastructure resilience, and water quality management. Key research areas include hydrological modeling under uncertainty, wastewater treatment optimization, and AI-driven environmental systems Develops hybrid models combining machine learning with physical/ontological frameworks for improved predictive accuracy Recipient of the 2025 University Scholar award at McMaster for mid-career research leadership Recent publications demonstrate expertise in global flood forecasting, membrane fouling prediction, SARS-CoV-2 wastewater surveillance, and climate change adaptation strategies. His work spans water treatment plants, Canadian river systems, and transboundary environmental challenges. Scientific Awards: University Scholar 2025 (McMaster University) Teaching responsibilities include courses in environmental engineering, water resources systems design, and specialized civil engineering studies. Collaborates extensively with interdisciplinary teams on infrastructure safety and sustainability projects.

• Transportation Infrastructure
• Urban Planning
• Sustainable Mobility
• +۳ مورد دیگر

Hanna Maoh is an Adjunct Assistant Professor in the Department of Earth, Environment & Society at McMaster University. Her work focuses on transportation infrastructure , urban planning , and sustainable mobility , with a strong emphasis on spatial analysis and electric vehicle adoption .

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.

Alexandre Campeau-Lecoursمشاهده پروفایل

دانشیار

• Robotics
• Rehabilitation Engineering
• Biomedical Robotics
• +۴ مورد دیگر

Alexandre Campeau-Lecours is an Associate Professor in the Department of Mechanical Engineering and Industrial Engineering at Laval University. He specializes in robotics and rehabilitation engineering, with affiliations at the Interdisciplinary Research Center for Rehabilitation and Social Integration (Cirris) and the Research Center for Robotics, Vision and Machine Intelligence (CeRVIM). His work focuses on developing assistive technologies using robotics and AI, with a focus on co-creation with clinical partners and end-users. Education: Ph.D. in Robotics from Laval University (2012), B.Sc. in Mechanical Engineering/Mechatronics from École Polytechnique de Montréal (2008). Professional certifications include PMP (Project Management Professional) and P.Eng (Professional Engineer). Research interests include rehabilitation robotics, biomechanical engineering, mechatronics, and assistive technologies for individuals with disabilities. Notable projects include the JACO wheelchair-mounted robotic arm and development of real-time wearable sensors for movement analysis. Awards include repeated Teaching Star recognition (2016–2025). Active in grants including projects funded by Fonds de recherche du Québec and Innovation, Sciences et Développement économique Canada, focusing on voice-controlled interfaces, EMG-based assistive devices, and music-based rehabilitation systems. Led the Rehabilitation Engineering Laboratory and collaborates with industry partners like Kinova. Research emphasizes interdisciplinary approaches to create customized assistive solutions, with over 69 publications in peer-reviewed journals.

Keith Vanderlindeمشاهده پروفایل

دانشیار

• Cosmology
• Radio Astronomy
• Instrumentation Development
• +۳ مورد دیگر

Keith Vanderlinde is an Associate Professor at the David A. Dunlap Department of Astronomy & Astrophysics and the Dunlap Institute at the University of Toronto. His research focuses on cosmology and long-wavelength instrumentation, particularly large-scale structure studies and the expansion history of the universe. He leads projects like CHIME/FRB, CHORD, and HIRAX, developing radio telescopes to detect fast radio bursts (FRBs) and map cosmic evolution. Education: PhD in Physics (University of Chicago, 2008); BS in Physics with EE (MIT, 2002). Awards include CIfAR Junior Fellow (2011-2012) and McGill Trottier Fellow (2009-2011). Research interests span cosmological instrumentation, dark energy probes, and transient astronomy. Key projects include the CHIME radio telescope (studying 21cm emission and FRBs), the CHORD observatory, and international collaborations like HIRAX in South Africa. His work emphasizes instrument design, data analysis pipelines like kotekan, and multi-messenger astronomy. Lab involvement includes the Algonquin Radio Observatory and contributions to SPT-3G. Active in graduate/undergraduate training, mentoring students in cosmology and radio instrumentation.

Andriy Miranskyyمشاهده پروفایل

دانشیار

• Applied Machine Learning
• Big Data
• Blockchain
• +۴ مورد دیگر

Dr. Andriy Miranskyy is an Associate Professor in the Department of Computer Science at Toronto Metropolitan University. His research focuses on applied machine learning, quantum computing, cloud computing, and software engineering, with notable contributions to anomaly detection in cloud systems and quantum software engineering. He leads the AMiR Lab, exploring risk mitigation and software development challenges in emerging technologies. Education: Ph.D. in Computer Science from The University of Western Ontario (2011). Research Interests: He investigates quantum software engineering methodologies, cloud-native systems governance, and big data applications. His work bridges theoretical advancements with industrial-scale implementations, such as IBM Db2 quantum safety case studies and cloud monitoring tools like CloudHeatMap. He emphasizes practical solutions for flakiness detection in quantum programs and sustainable software development practices. Awards: Recognitions include the Rogers Cybersecure Catalyst Fellowship (2023-2024), IBM CAS Best Project (2021), and a Guinness World Record for pioneering a 3Pb data warehouse (IBM DB2 team). Teaching: Teaches courses like CPS 840 (Quantum Computing), CPS 847 (Software Tools for Startups), and CPS 731 (Software Engineering). Labs/Teams: Directs the AMiR Lab, focusing on risk-aware software engineering in quantum and cloud domains.

Shahram Payandehمشاهده پروفایل

استاد

• Robotics
• Geometrical Robotics
• Networked Dynamical Systems
• +۴ مورد دیگر

Shahram Payandeh is a Professor of Engineering Science at Simon Fraser University (SFU), affiliated with the School of Engineering Science within the Faculty of Applied Sciences. He holds a Ph.D. from the University of Toronto (1990), M.A.Sc. (1986), and B.Sc. (1981). His research focuses on robotics, geometrical robotics, networked dynamical systems, and medical robotics, with emphasis on haptic devices, multi-view tracking, and multi-modal interaction in serious games. Education: Ph.D., University of Toronto, Canada, 1990 M.A.Sc., University of Toronto, Canada, 1986 B.Sc., University of Akron, United States, 1981 Research Interests: Robotics and medical robotics applications Geometrical robotics and sensor networks Multi-view tracking and haptic rendering Networked dynamical systems and decision support His work spans visual tracking algorithms, sensor calibration, and teleoperation systems, with practical applications in healthcare and elderly care technology. Teaching: ENSC 482: Introduction to Decision Making in Engineering ENSC 890: Advanced Robotics: Mechanics and Control Labs & Facilities: Associated with the Engineering Science Research Lab (erl.ensc.sfu.ca) Office: ASB 10829

Parvaneh Saeediمشاهده پروفایل

استاد

• Computer Vision
• Biomedical Engineering
• Machine Learning
• +۵ مورد دیگر

Dr. Parvaneh Saeedi is a Professor and Associate Dean, Research & Graduate Studies in the School of Engineering Science at Simon Fraser University (SFU). She holds a Ph.D. in Electrical Engineering from the University of British Columbia (2004) and P.Eng. credentials. Her research focuses on computer vision, machine learning, and biomedical applications, with contributions to robotics, medical imaging, and remote sensing. Affiliations: Faculty of Applied Sciences, Simon Fraser University Education: B.Sc. (Iran University of Science and Technology), M.Sc. and Ph.D. (University of British Columbia) Her work spans automated image analysis systems, 3D reconstruction, and medical applications such as embryo grading and organ segmentation. She leads the Laboratory for Robotic Vision and has held roles at MacDonald Dettwiler and Associates and the Canada’s Michael Smith Genome Sciences Centre. Recognized with the NSERC University Faculty Award (2007), her teaching includes courses like ENSC 460/895 (Digital Image Processing).

Paul Griesمشاهده پروفایل

استاد آموزشی

• Computer Science Education
• Programming Fundamentals
• Educational Technology
• +۳ مورد دیگر

Paul Gries is a Teaching Professor in the Department of Computer Science at the University of Toronto, Faculty of Arts and Science. He specializes in computer science education, focusing on programming fundamentals and pedagogical tools. His work includes textbooks like Practical Programming and MOOCs on platforms like Coursera. Education: Paul holds a BA and MEng in Computer Science from Cornell University (Ithaca, New York) and pursued PhD studies at the University of Toronto before shifting his focus to teaching in 1999. He became a Lecturer in 1999 and was promoted to Senior Lecturer in 2004. Research and Teaching: His research interests center on improving teaching methods in computer science, particularly through multimedia and interactive learning tools. He has authored influential textbooks and developed courses that emphasize programming best practices and software development principles. Awards: Paul has received numerous teaching awards, including the OCUFA Teaching Award (2012), the University of Toronto President's Teaching Award (2011), and the Faculty of Arts and Science Outstanding Teaching Award (2006). He has also been recognized repeatedly by student unions for his instructional excellence. Labs/Teams: While no specific labs are mentioned, his contributions to educational technology and collaborative textbook development highlight his collaborative nature in pedagogical innovation.

Michael Gruningerمشاهده پروفایل

استاد

• Ontologies
• Semantic Integration
• Process Modelling
• +۶ مورد دیگر

Michael Gruninger is a Professor in the Department of Mechanical and Industrial Engineering at the University of Toronto, serving as Associate Chair of Undergraduate Studies. He holds a PhD and MSc in Computer Science from the University of Toronto and a BSc in Computer Science from the University of Alberta. His research focuses on semantic integration, process modeling, and mathematical logic applications in manufacturing and enterprise engineering. He contributed to the ISO 18629 standard for Process Specification Language. Research interests include ontologies, semantic web technologies, knowledge representation, and formal methods. He leads the Semantic Technologies Laboratory, advancing theories in mereotopology, spatiotemporal ontologies, and ontology engineering. Recent work emphasizes automated spatial reasoning in robotics and standards-based ontology development. Publications span ontology validation, mereological foundations, and applied semantic technologies. His work bridges theoretical computer science with practical enterprise systems and smart city applications. No awards are explicitly listed, though his contributions to ISO standards reflect industry impact. Advising and grants: No specific students/grants detailed here. His lab focuses on semantic technologies with applications in manufacturing and urban systems. Collaborations include NIST and the Industrial Ontologies Foundry.