جست‌وجوی استاد و پژوهشگر

Tao Jinمشاهده پروفایل

استادیار

• Computational Mechanics
• Material Modeling
• Fracture Mechanics
• +۷ مورد دیگر

Tao Jin is an Assistant Professor in the Department of Mechanical Engineering at the University of Ottawa. He holds a Ph.D. from Rice University (2016) and Master of Engineering (ME) and Bachelor of Engineering (BE) degrees from Tongji University. Prior to his academic role, he served as a Postdoctoral Research Associate at Los Alamos National Laboratory (2016–2019) and Lawrence Livermore National Laboratory (2019–2021). His research focuses on developing numerical techniques and computational strategies to model complex material and engineering systems, integrating physics-based methods with machine learning. Education: Ph.D., Mechanical Engineering, Rice University, Houston, TX, USA (2016) ME, Mechanical Engineering, Tongji University, Shanghai, China BE, Mechanical Engineering, Tongji University, Shanghai, China Research Interests: Multiscale modeling of biomaterials and soft materials Fracture propagation in porous media and hydraulic systems Machine learning integration for material design and optimization Computational geoscience and subsurface energy systems Crystal plasticity and deformation twinning Labs & Teams: JinLab develops open-source computational tools for material systems (hosted on GitHub ). Focus areas include finite element methods, phase-field modeling, and multiphysics simulation frameworks.

Luc Mongeauمشاهده پروفایل

استاد

• Biomaterials
• Tissue Engineering
• Biomechanics
• +۷ مورد دیگر

Luc Mongeau is a Professor in the Department of Mechanical Engineering at McGill University, with associate appointments in Bioengineering and Biomedical Engineering. His research spans interdisciplinary domains, integrating mechanical engineering principles with biomedical applications to address challenges in vocal fold tissue engineering and aeroacoustic noise reduction. Department of Mechanical Engineering Associate Member, Department of Bioengineering Associate Member, Department of Biomedical Engineering Research Focus: Specializing in biomechanics, tissue engineering, and aeroacoustics, Mongeau's lab develops innovative solutions for vocal fold regeneration and jet engine noise control. Techniques include finite element modeling (FEM), nonlinear laser scanning microscopy (NLSM), atomic force microscopy (AFM), and computational fluid dynamics (CFD). Recent Trends: Mongeau's work emphasizes hydrogel-based tissue engineering for vocal fold repair, combining hyaluronic acid with other polymers. Parallel research explores synthetic jet actuator optimization for aerodynamic efficiency and noise suppression, often leveraging computational tools like COMSOL Multiphysics and lattice Boltzmann methods. Labs & Teams: The lab operates at the intersection of engineering and medical sciences, collaborating with clinicians to translate findings into improved diagnostic and therapeutic approaches for vocal cord pathologies and laryngeal cancer. Their work integrates biological modeling with advanced computational and experimental techniques.

Bruno Blaisمشاهده پروفایل

دانشیار

• Computational Fluid Dynamics
• Fluid Mechanics
• Chemical Process Intensification
• +۷ مورد دیگر

Bruno Blais is an Associate Professor at the Department of Chemical Engineering, Polytechnique Montréal. His research focuses on computational fluid dynamics (CFD), multiphase flows, and high-performance computing. He leads the development of Lethe, an open-source CFD software built on deal.ii, and contributes to discrete element method (DEM) simulations. His expertise spans granular flows, topological optimization, and process intensification. Recent work integrates machine learning with CFD for industrial applications. He has supervised numerous graduate students, including Victor Oliveira Ferreira (postdoc), Laura Prieto Saavedra (PhD), and Amishga Alphonius (MSc). Blais has received prestigious awards including the Governor General's Gold Medal, Vanier Scholarship, and the 2025 Applied Mathematics Prize. His research is supported by NDRIO and collaborations with Canada Research Chairs. Vanier Canada Graduate Scholarship (2012-2016) Governor General's Gold Medal Roger A. Blais Thesis Award North American Mixing Forum Best Thesis Award 2025 Applied Mathematics Prize

Antoine Jacqueyمشاهده پروفایل

استادیار

• Rock Mechanics
• Fault Mechanics
• Induced Seismicity
• +۷ مورد دیگر

Antoine Jacquey is an Assistant Professor in the Department of Civil, Geological and Mining Engineering at Polytechnique Montréal. He focuses on rock mechanics and fault dynamics with applications in sustainable geoenergy technologies. PhD in Geomechanics (RWTH Aachen University, 2017) Engineering Degree (École des Mines de Saint-Étienne, 2014) His research explores the multiphysics coupling of porous reservoir rocks and geological faults, particularly for geothermal energy, CO2 storage, and hydrogen storage. He develops numerical simulators like GOLEM and lynx to model these processes. Recent work emphasizes fluid-induced seismicity and strain localization in rate-dependent materials. His publications span journals in rock mechanics, solid mechanics, and applied geophysics. He supervises 7 graduate students across doctorate, research master's, and professional master's programs. His affiliations include the Geotechnical Research Group at Polytechnique Montréal.

Ahmad Shakibaeiniaمشاهده پروفایل

استاد

• Hydraulic Engineering
• Environmental Fluid Mechanics
• Multiphase Flow Modeling
• +۳ مورد دیگر

Ahmad Shakibaeinia is a Full Professor at the Department of Civil, Geological and Mining Engineering in Polytechnique Montréal , holding the Tier 2 Canada Research Chair in Digital Hydrosystems . He serves as a researcher in the Experimental and Digital Water Flow Engineering Group (GENIE EAU) and is affiliated with the Interuniversity Study Center for Structures under Extreme Loads (CEISCE) . Research Domains : Computational fluid mechanics, multiphase flows, granular flow dynamics, cold-region hydraulics, fluvial mechanics Methodologies : Specializing in mesh-free particle methods (SPH, MPS) for simulating complex hydro-environmental flows His work focuses on multi-physics hydro-environmental flows involving water-air-sediment-ice interactions, with applications in flood risk assessment , tailings dam breach modeling , and cold-region river dynamics . Recent publications demonstrate expertise in floating breakwater systems , microbial risk assessment , and ice-structure interaction simulations . Key scientific contributions include: Developing enhanced weakly-compressible MPS/SPH methods for free-surface and granular flows Pioneering fully Lagrangian DEM-MPS models for ice-wave dynamics Creating integrated numerical frameworks for cold-region water quality assessment He has supervised 12 graduate students (3 PhD, 9 Master's) and secured multiple NSERC Alliance Grants for projects on climate change impacts and critical infrastructure vulnerability . His 74 publications span topics from sediment transport to particle method development , with significant contributions to oil sands tailings dam failure and transboundary river pollution understanding.

• Additive Manufacturing
• Advanced Manufacturing
• Design for Manufacturing
• +۶ مورد دیگر

Dr. Mostafa Yakout serves as an Assistant Professor in the Department of Mechanical Engineering within the Faculty of Engineering at the University of Alberta. A Professional Engineer (P.Eng.) licensed in Alberta and Ontario, he also holds an Adjunct Research Professor position at Western University (2022-2025). Previously, he served as a Sessional Instructor at McMaster University and an Assistant Lecturer at Alexandria University. His educational background includes: Postdoctoral Fellowship, McMaster University, Canada, 2019-2022 Ph.D. Mechanical Engineering, McMaster University, Canada, 2015-2019 M.Sc. Production Engineering, Alexandria University, Egypt, 2011-2013 B.Sc. Production Engineering, Alexandria University, Egypt, 2005-2010 Dr. Yakout's research focuses on developing process-driven solutions for additive manufacturing of next-generation materials, including alloys containing rare-earth metals, high-performance metal alloys, and high-temperature materials. His group employs numerical, analytical, and experimental methods to establish critical process-structure-property-performance relationships. This work directly supports clean technology development and industrial transformation toward net-zero emissions in Canadian manufacturing. Analysis of his recent publications (2021-2025) reveals dominant themes in laser powder bed fusion (LPBF), particularly Inconel 617 applications for small modular reactors, rare earth element-doped coatings, and magnetic alloy optimization for electric motors. His research consistently integrates multiphysics modeling, in-situ process monitoring, and microstructure-property relationship studies targeting aerospace, nuclear energy, and biomedical engineering applications. No specific scientific awards or fellowships are documented in the provided materials. Dr. Yakout currently accepts undergraduate students for research supervision. His group collaborates extensively with industry, government agencies, and academic institutions across Canada and internationally. As CARDD-Tech Research Lead, he focuses on critical minerals and rare earth elements to advance sustainable manufacturing solutions aligned with national clean technology initiatives. He leads the ANGAM Group, which specializes in additive manufacturing process development for advanced materials. The team's work emphasizes hybrid additive manufacturing techniques and design optimization for industrial applications requiring high-performance material solutions.

Jeff Gostickمشاهده پروفایل

استاد

• Porous Media
• Multiphase Flow
• Pore Network Modeling
• +۵ مورد دیگر

Jeff Gostick is the Azzam-Dullien Endowed Chair & Professor in the Department of Chemical Engineering at the University of Waterloo, serving as Associate Chair for Graduate Studies. His research focuses on porous materials engineering, multiphase flow dynamics, and electrochemical energy conversion, with applications in batteries and fuel cells. He leads the Porous Materials Engineering & Analysis Lab (PMEAL), which develops novel characterization tools and pore network models to optimize material performance. Education: 2008 – Doctorate in Chemical Engineering, University of Waterloo 2002 – Master of Applied Science in Chemical Engineering, University of Waterloo 2000 – Bachelor of Engineering in Chemical Engineering, Ryerson University Research Interests: Porous media and multiphase flow phenomena Pore network modeling for energy storage systems Electrode design and optimization for redox flow batteries X-ray tomography and image-based analysis Computational multiphysics simulations Notable Awards: Azzam-Dullien Professorship (2023) Waterloo Engineering Research Excellence Award (2023) Canadian Society for Chemical Engineering 'Emerging Leader' (2021) Teaching & Advising: Recent courses include CHE 181, CHE 200, CHE 331, and NE 111 Focus on active learning pedagogy Labs/Teams: PMEAL lab specializes in advanced materials characterization and computational modeling, with collaborations across academia and industry. Ongoing projects include graphene oxide membranes, 3D-printed electrodes, and CO2 conversion systems.

Syed Imtiazمشاهده پروفایل

استاد

• Process Control
• Process Monitoring
• Modelling and Simulation
• +۵ مورد دیگر

Syed Imtiaz is a Professor and Department Head of Process Engineering at the Faculty of Engineering, Memorial University of Newfoundland . Holding a PhD in Process Control from the University of Alberta and professional engineering credentials (P.Eng.), he specializes in Process System Safety, Risk Simulation , and Advanced Monitoring Tools for industrial applications. B.Sc., M.Sc. (BUET), M.Sc. (University of Calgary), PhD (University of Alberta) P.Eng. certification Joined Memorial University in March 2010 Research focuses on multivariate statistical tools and Bayesian belief networks for process fault diagnosis , particularly in offshore oil & gas and mineral processing industries. His work includes modeling Hydrogen Desulfurization processes and automating Managed Pressure Drilling (MPD) systems. Key article trends include: Advancing machine learning for fault detection in harsh industrial environments Developing Bayesian networks for risk assessment in offshore operations Optimizing reservoir production using entropy generation minimization Improving dynamic positioning for autonomous marine systems Scientific contributions are recognized through university awards and >30 peer-reviewed publications.

Louis Gagnonمشاهده پروفایل

استاد

• Financial Economics
• Risk Management
• Capital Markets
• +۲ مورد دیگر

Louis Gagnon is a Professor at Queen's University's Smith School of Business, specializing in financial economics and risk management. With a PhD from the University of Toronto, his research examines capital markets, derivatives, and international finance through both theoretical and empirical approaches. His primary research explores risk-assessment methodologies, market volatility, and financial instruments in global contexts. Recent work includes analyses of corporate governance impacts on equity markets and pandemic-related economic behaviors. Dr. Gagnon's publications demonstrate cross-disciplinary integration, spanning financial theory, aerodynamics, and public health. His aerodynamics research focuses on cycloidal rotor efficiency and computational fluid dynamics, while financial studies address governance structures and market behaviors. He maintains active industry engagement through consulting and executive education programs. Professional affiliations include editorial roles at the Canadian Journal of Administrative Services and investment committee membership at the Community Foundation of Greater Kingston.

Jean-Pierre Hickeyمشاهده پروفایل

دانشیار

• Multiphysics Simulations
• Turbulent Simulations (LES/DNS)
• High-speed Aerothermodynamics
• +۴ مورد دیگر

Associate Professor Jean-Pierre Hickey at the University of Waterloo specializes in multiphysics simulations, turbulence modeling, high-speed aerothermodynamics, and acoustics. His research focuses on LES/DNS simulations, supercritical mixing, and thermoacoustic coupling. He holds a Ph.D. in Mechanical Engineering from the Royal Military College of Canada and has postdoctoral experience at Stanford University's Center for Turbulence Research and the German Aerospace Center (DLR). Education: 2012: Ph.D., Mechanical Engineering, Royal Military College of Canada 2007: M.Sc., Computational Mechanical Engineering, TU-Darmstadt 2004: Bachelor's, Mechanical Engineering, École Polytechnique de Montréal His research interests span turbulent flows, hypersonic aerodynamics, and combustion processes. He has authored over 50 publications, including studies on shock-turbulence interaction, transpiration cooling, and particle clustering in turbulent flows. His work bridges computational fluid dynamics (CFD), experimental validation, and machine learning for aerospace and environmental applications. In 2019, he received an award for excellence in teaching and scholarship. He teaches advanced fluid mechanics courses (ME 351, ME 566, ME 664) and mentors graduate students in experimental and computational fluid dynamics. His lab (www.mpilab.ca) focuses on developing novel methodologies for turbulence modeling and flow control. Awards: 2019 University Excellence Award for Teaching and Scholarship Current research includes in-situ resource utilization for space applications, deep learning for acoustic source localization, and turbulence modeling for hypersonic flows. He collaborates on projects funded by NASA and the Canadian Space Agency, aiming to advance propulsion systems and thermal protection technologies.

Rustom B. Bhiladvalaمشاهده پروفایل

دانشیار

• Nanoscale Materials
• Mechanics & Transport
• Fluid and Biomedical Sensor Development
• +۶ مورد دیگر

Rustom B. Bhiladvala is an Associate Professor in the Department of Mechanical Engineering at the University of Victoria. His expertise spans nanoscale materials, biomedical sensor development, and sustainable energy solutions. He holds degrees from IIT Kharagpur, the University of Iowa, and Yale University, and is a licensed Professional Engineer (P.Eng). Education: BTech (IIT Kharagpur), MS (University of Iowa), PhD (Yale) Affiliations: Faculty of Engineering, Mechanical Engineering Department, PRIMED Lab His research focuses on nanoresonators for early cancer detection, guard-heated thermal sensors for wind turbine optimization, and scalable nanostructure fabrication. Key projects include vibrating nanowire mass sensors and low-cost solar cell improvements. His work bridges fluid mechanics, materials science, and biomedical engineering. Notable contributions include developing field-directed nanowire assembly techniques and improving turbulent flow measurement accuracy. He teaches courses on energy systems and fluid mechanics at both undergraduate and graduate levels.

Mahmoud Alzoubiمشاهده پروفایل

استادیار

• Transport phenomena in porous media
• Phase-change heat and mass transfer
• Artificial ground freezing
• +۵ مورد دیگر

Dr. Mahmoud Alzoubi is an Assistant Professor at Queen's University , cross-appointed between the Robert M. Buchan Department of Mining Engineering and the Department of Mechanical and Materials Engineering . He leads an interdisciplinary research program that couples advanced transport phenomena with energy-efficient technologies for mining and renewable energy applications. Education: Ph.D. in Mining & Mechanical Engineering, McGill University (2018) M.Sc. in Engineering Systems & Management, Masdar Institute of Khalifa University in collaboration with MIT (2014) B.Sc. in Mechanical Engineering, Jordan University of Science and Technology (2005) Research Interests: His work centers on transport phenomena in porous media , with emphasis on phase-change heat and mass transfer , artificial ground freezing , thermal energy storage , microfluidic devices , and renewable HVAC cycles . By integrating high-fidelity experiments with large-scale numerical simulations performed on high-performance clusters, he advances sustainable solutions for energy-intensive mining operations and green building technologies. Publication Impact: Across 32 peer-reviewed articles (2013-2024), a dominant theme emerges: developing computationally efficient models for coupled thermo-hydraulic processes in freezing, storage and ventilation systems. Studies range from Stefan-problem analytical solutions for phase-change materials to large-eddy simulations of cough-jet dispersion for indoor-air safety, underscoring a methodological breadth that spans pure mathematics, experimental heat transfer, and applied computational fluid dynamics. Funding & Recognition: Total research funding secured: CAD 466,000+ (direct cash CAD 381,000 + high-performance computing allocation CAD 85,000) Former member, Canadian Hydrogen in Mining Advisory Committee , Natural Resources Canada Laboratory & Teams: Dr. Alzoubi directs a research laboratory at Queen’s University equipped with state-of-the-art instrumentation for multiphysics experimentation and access to national HPC facilities. The group collaborates closely with industry partners (mining, HVAC) and government laboratories to translate fundamental findings into scalable, energy-efficient technologies for northern mining and cold-region infrastructure.

Aleksander Czekanskiمشاهده پروفایل

استاد

• Additive Manufacturing
• Bioprinting
• Material Characterization
• +۹ مورد دیگر

Aleksander Czekanski is a Professor in the Department of Mechanical Engineering at York University's Lassonde School of Engineering. He serves as co-Director of the Manufacturing Technology and Entrepreneurship Centre and previously held the NSERC Chair in Design Engineering. His expertise spans Additive Manufacturing, Bioprinting, Material Characterization, and Artificial Intelligence in Engineering Education. He holds an MBA from York University's Schulich School of Business and a Ph.D. in Mechanical Engineering from the University of Toronto. Dr. Czekanski's research focuses on advanced materials, including soft and super-soft materials, topology optimization, and in-situ bioprinting. He has pioneered studies on 4D printing, fatigue analysis of natural rubbers, and microstructural evolution in additive-manufactured alloys. His work bridges computational modeling with experimental validation, addressing challenges in both industrial and biomedical applications. Received the President's University-Wide Teaching Award and Lassonde Innovation Award. Served as CSME Board Director (2014-2024) and President of the Canadian Engineering Education Association (2020-2021). Active in professional leadership roles, including Fellowships in CSME, CEEA, and the Engineering Institute of Canada. His research outputs emphasize cross-disciplinary innovation, with over 80 publications spanning material science, manufacturing processes, and engineering education. Current projects include developing smart hydrogels for 4D printing and optimizing topology for fluid-structure interaction systems.

Colin Dennistonمشاهده پروفایل

استاد

• Soft Condensed Matter Physics
• Complex Fluids
• Granular Matter
• +۷ مورد دیگر

Colin Denniston is a Professor in the Department of Physics & Astronomy at Western University. His research focuses on multiscale modeling of soft matter systems, including complex fluids, liquid crystals, colloidal suspensions, and polymer dynamics. He specializes in developing novel numerical methods for simulating micro/nano-fluidic systems and studying material properties during curing processes. Key research areas include: Molecular dynamics simulations of polymerization reactions Hydrodynamic interactions in confined flows Photonic band gap engineering using colloidal crystals Interfacial dynamics in coupled lattice-Boltzmann and molecular dynamics frameworks His work bridges theoretical physics, computational modeling, and materials engineering. Notable contributions include advancements in LAMMPS integration for fluid simulations and studies on defect-bonded colloidal structures in cholesteric phases. The Denniston Group actively explores applications in advanced composites and nanotechnology. Professional activities include leading the Denniston Group at Western University and collaborating on projects involving fiber-reinforced polymers for aerospace/automotive industries. He accepts graduate student applications year-round.

Hodjat Shiriمشاهده پروفایل

دانشیار

• Offshore Engineering
• Subsea Pipelines
• Arctic Geotechnics
• +۲ مورد دیگر

Dr. Hodjat Shiri is an Associate Professor in Civil Engineering at Memorial University of Newfoundland, holding the Wood Group Chair in Arctic and Harsh Environments. His research addresses Arctic offshore challenges, including ice-seabed interactions, subsea pipeline design, and reliability assessment. Shiri integrates machine learning with geotechnical modeling to predict iceberg impacts and pipeline performance. Recent work explores trenching techniques, layered seabed responses, and fatigue in riser systems. Publications emphasize practical solutions for energy infrastructure in climate-sensitive regions, combining numerical simulations with field data validation.