Machine Learning Applications in Geotechnical Engineering Professors and Supervisors in Canada | ApplySharif

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اطلاعات این پروفایل‌ها از صفحات عمومی دانشگاه‌ها جمع‌آوری شده و ممکن است به‌روز نباشد.

Scott McDougallمشاهده پروفایل

دانشیار

University of British ColumbiaCanada

Geohazards
Landslides
Debris flows
+۵ مورد دیگر

Scott McDougall is an Associate Professor in the Department of Earth, Ocean & Atmospheric Sciences at the University of British Columbia (UBC). He specializes in geohazards, particularly landslides and related risks, with a focus on improving risk assessment and mitigation strategies. His work integrates field data, statistical analysis, numerical modeling, and laboratory experiments to understand landslide dynamics. Education: PhD in Geological Engineering, UBC (2006) BASc in Civil Engineering, University of Toronto (1998) Research Interests: Landslide mobility and runout modeling Tailings dam breaches and their impacts Risk evaluation frameworks for geohazards Shoreline erosion and landslide-generated waves Applications of machine learning in hazard prediction Key Contributions: Development of the UBC Geohazards Research Team to advance landslide risk reduction Leadership in the CanBreach project to improve tailings dam breach analysis Pioneering probabilistic runout prediction models for rock avalanches and debris flows Awards: Engineering Geology Best Paper Award 2024 CDA Published Paper Award Advising & Grants: Supervised over 15 graduate students and postdoctoral fellows Active industry collaborations with mining and engineering firms Funded by NSERC, Mitacs, and industry partnerships Labs & Teams: UBC Geohazards Research Team CanBreach Collaborative Research and Development Project

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Travis Wiensمشاهده پروفایل

دانشیار

University of SaskatchewanCanada

Travis Wiens is an Associate Professor in the Department of Mechanical Engineering at the University of Saskatchewan. His research focuses on fluid power systems, acoustic sensing, dynamic modeling, mining mechatronics, and artificial intelligence applications in engineering. He holds a B.Sc., M.Sc., and Ph.D. in Mechanical Engineering from the same institution, completed in 2002, 2004, and 2008 respectively. His research interests emphasize innovative solutions for hydraulic control systems, pipeline resonance reduction, and mining safety through acoustic technologies. He has developed low-cost electrohydrostatic actuators and explored additive manufacturing in valve design. Notable contributions include vibrational data communication tools for extractive industries and machine learning models for mine roof stability assessment. Dr. Wiens teaches ENGC 01A - Introduction to Fluid Power Components . His work bridges theoretical fluid dynamics with practical applications in energy efficiency, structural health monitoring, and biomimetic systems. Ongoing research trends include integrating AI with hydraulic systems and advancing non-destructive testing methods for infrastructure integrity. His publications highlight interdisciplinary approaches, combining mechanical engineering principles with computational modeling, neural networks, and mechatronics. Collaborative efforts focus on mining safety, oil and gas infrastructure, and sustainable hydraulic technologies.

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Ronald D. Haynesمشاهده پروفایل

استاد

Memorial University of NewfoundlandCanada

Ronald D. Haynes is a Full Professor and Chair of Scientific Computing Graduate Programs in the Department of Mathematics and Statistics at Memorial University of Newfoundland. He leads research in numerical methods for PDEs and industrial-scale optimization problems. His work develops advanced domain decomposition techniques, adaptive mesh methods, and parallel computing approaches for solving complex physical systems. Applications include modeling pitting corrosion of materials, predicting rock strength for drilling optimization, and simulating multiphase fluid flows in porous media. Recent publications demonstrate innovations in mesh adaptation, parallel algorithms, and machine learning applications for industrial problems. Collaborative projects have addressed reservoir simulation, drill bit analysis, and corrosion prediction through integrated computational approaches. Professor Haynes has received the President's Award for Outstanding Research (2018) and Dean of Science Distinguished Teaching Award (2017). He serves as Co-editor-in-chief of the CAIMS Mathematics in Science and Industry Journal and was President-Elect of the Canadian Applied and Industrial Mathematics Society (2023-2025). He maintains active doctoral supervision with current research groups focusing on domain decomposition methods, closest point algorithms, and optimization techniques. Industry partnerships include projects with ExxonMobil and Global Maritime addressing drilling optimization and mooring design challenges.

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Rebecca Dziedzicمشاهده پروفایل

استادیار

Concordia UniversityCanada

Rebecca Dziedzic is an Assistant Professor in the Department of Building, Civil, and Environmental Engineering at Concordia University. Her research focuses on asset management, water system sustainability, and infrastructure resilience. She holds a PhD in Civil and Environmental Engineering from the University of Toronto. Dr. Dziedzic's work integrates machine learning, data science, and policy analysis to address challenges in urban infrastructure systems. Her research explores topics such as water distribution network optimization, climate change adaptation in infrastructure, and circular economy strategies for construction. Recent projects include predicting water main breaks using multivariate models, developing frameworks for energy-efficient pump operation, and assessing carbon footprints in industrial facilities. Dr. Dziedzic supervises graduate students in Civil Engineering (MASc/PhD) and maintains an active research group through the UrbanLinks initiative. Her work has been published in over 30 peer-reviewed articles, with a strong focus on smart city technologies, disaster risk reduction, and sustainable infrastructure design.

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Joshua Marshallمشاهده پروفایل

دانشیار

McGill UniversityCanada

Joshua Marshall is an Associate Professor in the Department of Electrical and Computer Engineering at Queen's University, cross-appointed to Mechanical and Materials Engineering. He serves as Interim Director of Ingenuity Labs Research Institute and leads the Offroad Robotics research group (formerly Mining Systems Laboratory). Previously, he held positions at Carleton University and MDA, Inc. Education: PhD in Electrical and Computer Engineering, University of Toronto (specializing in systems control) Research Interests: Dr. Marshall specializes in field robotics for mining, space, and industrial applications. His work integrates control systems engineering , localization and mapping , and mechatronics to develop autonomous solutions for harsh environments. Key focus areas include mobile robot navigation, sensor fusion, and real-world deployment challenges in underground and extraterrestrial settings. Publication Trends: His 2022-2025 publications reveal dominant themes in autonomous industrial vehicle control (motor graders, excavators), marine robotics (uncrewed surface vessels), and terrain/material classification . Work consistently combines model predictive control with machine learning (Gaussian processes, reinforcement learning) for dynamic environment adaptation. Multi-robot systems and simulation-to-real transfer represent emerging research directions. Professional Recognition: Senior Member of IEEE Associate Editor, IEEE Control Systems Society Conference Editorial Board Senior Editor, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) Research Impact: Dr. Marshall's Offroad Robotics group develops technologies featured in the Canada Science and Technology Museum's 'From Earth to Us' exhibit. His work bridges academic research with industry applications through collaborations with MDA and international institutions like Örebro University, though specific grant details are not provided in source materials. Leadership: He directs both the Offroad Robotics research group and Ingenuity Labs Research Institute, fostering interdisciplinary innovation in robotics, autonomous systems, and intelligent technologies for real-world implementation in mining, space exploration, and environmental monitoring.

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Sai Vanapalliمشاهده پروفایل

استاد

University of OttawaCanada

Dr. Sai Vanapalli is a Professor and Chair of the Department of Civil Engineering at the University of Ottawa. He holds a Ph.D. from the University of Saskatchewan (1994) and an M.Tech. from Kakatiya University, India. His research focuses on unsaturated soil mechanics, including foundation design, expansive soils, freeze-thaw effects, and pavement engineering. He has authored/co-authored over 125 publications, supervised 16 graduate students, and pioneered state-of-the-art laboratory equipment for unsaturated soil testing. Dr. Vanapalli has organized major international conferences such as the Diamond Jubilee Canadian Geotechnical Conference (2007) and the 12th IACMAG (2008). He received the Stermac Award (2010) and multiple teaching awards, including the OCUFA Teaching Excellence Award (2007). His lab houses advanced equipment like the modified ring shear test apparatus and University of Ottawa Bearing Capacity Equipment (UOBCE), supported by grants from the Canadian Foundation for Innovation (CFI-LOF). Key research themes include geotechnical engineering, unsaturated soil technology, geo-environmental studies, and critical state mechanics. His work bridges theory and practice, emphasizing practical engineering solutions for unsaturated soil challenges. He actively reviews for journals like Geotechnique and serves on editorial boards, furthering global knowledge exchange in geotechnics.

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Davide Elmoمشاهده پروفایل

استاد مدعو

Simon Fraser UniversityCanada

Davide Elmo is an Adjunct Professor at the Department of Earth Sciences, Faculty of Applied Science, University of British Columbia. He joined the NBK Institute of Mining Engineering in 2021, where he teaches and conducts research in engineering geology and rock engineering. University of Portsmouth - B.Eng (Hons) in Engineering Geology and Geotechnics University of Exeter - PhD in Geomechanics Simon Fraser University - Postdoctoral Fellow under Prof. Stead Elmo's research focuses on advanced numerical modeling of rock engineering problems, mining methods, and discrete fracture network models. Recently, he has explored applications of information theory, machine learning, and engineering philosophy to rock engineering, particularly examining cognitive biases in inductive engineering design. His work bridges computational techniques with practical challenges in geological systems. For contact, visit http://mining.ubc.ca/about/people/davide-elmo/ .

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Asif Iqbalمشاهده پروفایل

دانشیار

University of Northern British ColumbiaCanada

Dr. Asif Iqbal is an Associate Professor in the Integrated Wood Design program at the University of Northern British Columbia (UNBC), part of the Faculty of Engineering. He holds a PhD in Civil Engineering from the University of Canterbury, New Zealand, and has over ten years of consulting experience in structural engineering across Canada, the U.S., and New Zealand. His research focuses on disaster-resilient construction, particularly seismic protection for wood and hybrid structures, soil-structure interaction, and innovative structural systems for tall buildings. Education: PhD in Civil Engineering (University of Canterbury, New Zealand), Professional Engineer (PEng) designation. His expertise spans seismic design, timber engineering, and structural dynamics. Key research themes include post-tensioned CLT shear walls, energy dissipators, and sustainable tall wood structures. He actively contributes to professional organizations and advises graduate students in Civil and Structural Engineering. Research interests emphasize practical applications of seismic resilience, combining experimental testing with numerical modeling. His work integrates smart materials like shape memory alloys and explores hybrid systems to enhance building performance under earthquakes. Recent projects include structural health monitoring for bridges and optimizing timber cores for high-rise construction. Dr. Iqbal’s publications (2020–2025) highlight advancements in post-tensioned timber systems, seismic isolation for lightweight buildings, and computational modeling of timber connections. He advocates for Indigenous housing practices as inspiration for modern green building designs, merging traditional wisdom with contemporary engineering solutions. He supervises MSc and PhD students in Civil and Structural Engineering and is available for media inquiries as a subject matter expert on timber structures and disaster mitigation. His office is located in WIDC-364 at UNBC’s Prince George campus.

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Mehdi Pouraghaمشاهده پروفایل

دانشیار

Carleton UniversityCanada

Mehdi Pouragha is an Associate Professor in the Department of Civil and Environmental Engineering at Carleton University's Faculty of Engineering and Design in Ottawa, Canada. He holds a BSc and MSc from Sharif University of Technology in Iran and a PhD from the University of Calgary. His academic career focuses on advanced geomechanics research with applications in both theoretical and practical engineering contexts. Dr. Pouragha's research spans multiple interconnected areas within geomechanics, with particular emphasis on constitutive modeling of geomaterials, micromechanics of granular materials, thermo-hydro-mechanical behaviors, and computational geomechanics. His work integrates theoretical approaches with advanced numerical methods to address complex problems in soil mechanics, permafrost engineering, and unsaturated soil behavior. His research program bridges fundamental micromechanical understanding with practical engineering applications, particularly in cold regions and climate change adaptation contexts. Analysis of Dr. Pouragha's recent publications reveals a strong trend toward multiscale modeling approaches that integrate discrete element methods with continuum mechanics. His work increasingly incorporates machine learning techniques to enhance computational efficiency while maintaining physical accuracy. The research spans both fundamental theoretical developments in constitutive modeling and practical applications in permafrost engineering, tailings management, and soil-structure interaction problems. His publications consistently demonstrate a focus on connecting microscale mechanisms to macroscale material behavior. Dr. Pouragha teaches several core civil engineering courses including Geotechnical Engineering, Fundamentals of Geomechanics, Numerical Methods in Geotechnical Engineering, and Professional Practice. His teaching portfolio reflects his research expertise while providing students with both theoretical foundations and practical engineering skills.

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SeonHong Naمشاهده پروفایل

استادیار مدعو

McMaster UniversityCanada

SeonHong Na is an Adjunct Assistant Professor in the Department of Civil Engineering at McMaster University . Their research focuses on computational geomechanics, phase-field modeling, and multiphysics simulations of geomaterials. Key research areas include permafrost thawing, chemo-mechanical degradation of soils, and fracture mechanics in porous media. Recent work involves thermodynamic constitutive modeling, ice-rich material analysis, and machine learning applications for path-dependent plasticity. Notable trends in their publications include: Development of coupled thermo-hydro-mechanical frameworks for geotechnical simulations Phase-field models for rock salt, crystalline rocks, and chemo-assisted cracking Integration of machine learning with finite element methods for heterogeneous materials Teaching activities include courses on foundation engineering, geotechnical engineering, and computational methods in civil engineering.

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Sanda Koboevicمشاهده پروفایل

دانشیار

Polytechnic School of MontrealCanada

Associate Professor Sanda Koboevic is affiliated with Polytechnique Montréal in the Department of Civil, Geological and Mining Engineering . With degrees including B.Sc. (Université de Sarajevo) , M.Eng. (McGill) , and Ph.D. (McGill) , she specializes in structural engineering, earthquake engineering, and soil-structure interaction. Education: B.Sc. (Université de Sarajevo), M.Eng. (McGill), Ph.D. (McGill) Her research focuses on seismic design of steel and concrete structures , foundation engineering , and structural resilience . She investigates how footing size , soil-structure interaction , and variability in design parameters affect seismic performance. Recent publications include studies on functional recovery time of braced frame buildings (2025), predictive equations for footing behavior using machine learning (2025), and Canadian seismic design procedures for steel braced frames (2024). These works align with her expertise in steel and concrete structures , foundation analysis , and seismic rehabilitation . Scientific Awards: 2022: H.A. Krentz Award from Canadian Institute of Steel Construction She supervises graduate students and has advised numerous Ph.D. and Master's theses on topics like seismic deformations of concrete shear walls and retrofit of steel frames. Her work impacts building codes , engineering practices , and disaster preparedness in structural engineering.

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Pooneh Maghoulمشاهده پروفایل

استاد

Polytechnic School of MontrealCanada

Pooneh Maghoul is a Full Professor in the Department of Civil, Geological and Mining Engineering at Polytechnique Montréal. She founded and directs the Sustainable Infrastructure and Geoengineering Laboratory (SIGLab), and is a member of Astrolith (Lunar Research Unit) and the Geotechnical Research Group (GRG). With over 14 years of academic and industrial experience in Canada and France, she chairs the Education Committee of the Canadian Geotechnical Society (CGS) and serves on its Board of Directors, as well as the Canadian Permafrost Association (CPA). Ph.D. (2007–2010), M.Sc. (2006–2007) - École des Ponts ParisTech Postdoc (2010–2012) - Université Laval B.Sc. (2002–2006) - University of Tehran Her research focuses on poromechanics of complex porous media and subsurface systems under multi-hazard conditions, including climate change , earthquakes , and lunar environments . Key areas include permafrost stability , bio-inspired drilling , non-destructive testing , and lunar subsurface exploration . Recent publications highlight her work on ultrasonic characterization of frozen soils , climate-resilient Arctic infrastructure , and AI-driven permafrost thaw prediction . She has pioneered waterless drilling technology adaptable for lunar regolith exploration and developed geothermal energy solutions for cold regions. 2023 : Canada's Outstanding Young Geotechnical Engineer 2022 : Canadian Geotechnical Society Recognition Multiple : Best Paper Awards in International Journals She has supervised 2 Ph.D. and Master’s students, including Cui, S. (2023) and Afsharipour, M. (2023). Her work bridges earthquake engineering , computational mechanics , and space geotechnics , with recent grants from the Canada Foundation for Innovation and Fonds de recherche du Québec.

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Jan Dettmerمشاهده پروفایل

دانشیار

University of CalgaryCanada

Dr. Jan Dettmer is an Associate Professor in the Department of Earth, Energy, and Environment at the University of Calgary's Faculty of Science. His research focuses on quantitative analysis of Earth structures through geophysical data inversion, specializing in Bayesian methods for uncertainty quantification. His work spans seismology, acoustical oceanography, and tsunami hazard prediction, with applications ranging from shallow seabed characterization to deep mantle structures. Research interests include: Probabilistic inversion methods for earthquake source parameters and earth structure Wave propagation modeling in complex media Computational algorithm development for large-scale inverse problems Integration of supercomputing (CPU/GPU clusters) in geophysical analysis Recent publications demonstrate strong focus on geophysical inversion techniques, computational methods, and applications to energy and environmental challenges. Awarded the Faculty of Science Research Award for early career excellence (2019).

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Bahram Gharabaghiمشاهده پروفایل

استاد

University of GuelphCanada

Bahram Gharabaghi, PhD, P.Eng., is a Professor in the Department of Water Resources Engineering at the University of Guelph. His career spans over three decades, beginning with a postdoctoral fellowship at the University of Guelph in 2001, followed by roles as Assistant Professor (2003–2008), Associate Professor (2008–2016), and his current position since 2016. His research focuses on environmental modeling, climate change impacts, and sustainable water management. He holds degrees from Iran University of Science and Technology (BSc, 1989), Sharif University of Technology (MSc, 1992), and the University of Guelph (PhD, 1999). Research interests include hydrodynamic modeling of river flows, stormwater and aquatic habitat monitoring, and the development of tools for water quality protection. He integrates remote sensing, machine learning, and AI to address challenges like flood forecasting and nutrient management. Courses taught span finite element methods, water quality measurement, and urban water systems design at both undergraduate and graduate levels. His work emphasizes real-time data applications for resilient infrastructure, such as road de-icing optimization and flood susceptibility mapping. He has contributed to over 50 peer-reviewed articles, focusing on environmental data analysis and predictive modeling techniques. Collaborative projects include transboundary water management in the Kabul River Basin and climate resilience strategies in urban areas.

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Elena Zabolotniiمشاهده پروفایل

استاد

Carleton UniversityCanada

Performance-Based Design
Slope Monitoring Using Fiberoptics
Machine Learning Applications in Geotechnical Engineering
+۴ مورد دیگر

Elena Zabolotnii is a Professor in the Civil and Environmental Engineering department at Carleton University . Her research focuses on performance-based design, slope monitoring using fiberoptics, machine learning applications in geotechnical engineering, computational geomechanics, pit slope stability, 3D effects in slope stability, and seismic slope stability. Doctor of Philosophy , Geotechnical Engineering (2020, University of Alberta, Thesis: 'Three-dimensional slope stability effects in the failure at the Mount Polley TSF') Master of Engineering , Geoenvironmental Engineering (2016, University of Alberta) Bachelor of Applied Science , Civil Engineering (University of Regina) Zabolotnii's research integrates advanced computational methods with real-world geotechnical challenges. Key areas include 3D slope stability analysis, seismic effects on slopes, and machine learning applications for monitoring data from fiberoptics equipment. Her work also emphasizes performance-based design as an alternative to conventional slope stability analysis. The 15 most recent publications cover topics such as 3D slope stability, tailings dam safety, seismic analysis, and computational modeling. These studies often involve case histories like the Mount Polley Tailings Storage Facility and regulatory compliance in diverse regions. Teaching Achievement Award (2023, Carleton University) Vanier Scholar (2017-2020, NSERC PGS-D) President’s Doctoral Prize of Distinction (2016, University of Alberta) Zabolotnii actively supervises research students, including Aravind Murali (M.A.Sc., 2024). She contributes to industry-relevant R&D projects such as the Large Open Pit Slope Stability Project and historical works like the Saskatchewan Black Spot Screening Project (2009).

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