Multiphase Systems Professors and Supervisors in Canada | ApplySharif

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جست‌وجوی استاد و پژوهشگر

استاد راهنما، استاد دانشگاه یا پژوهشگر مناسب برای مسیر پژوهشی‌تان را پیدا کنید و با او ارتباط بگیرید.

نمایش ۱-۱۵ از ۱۷۷ استاد راهنما

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

Hugo de Lasaمشاهده پروفایل

استاد

Western UniversityCanada

Hugo de Lasa is a Full Professor at the Department of Chemical and Biochemical Engineering, Faculty of Engineering, University of Western Ontario. He holds a Bachelor in Chemical Engineering (1968) from Universidad Nacional del Sur, Argentina, and a Doctoral degree (1971) from Université de Nancy, France. Research Focus: Catalysis, Photocatalysis, Chemical Reactor Engineering, Fluidization, Biomass Gasification Awards: Research Excellence Prize (1998), Fellow of the Chemical Institute of Canada (2000), Medal of Research and Development (2000), Doctor Honoris Causa (2004, 2018) His work spans chemical reactor design , photocatalytic hydrogen production , and fluidized bed technologies . Recent publications highlight machine learning applications in chemical equilibrium modeling and CO2 capture using microalgae. He founded the Chemical Reactor Engineering Centre (CREC) and Recat Technologies Inc. , a university spin-off commercializing reactor innovations. Awards include the Vanguard Award (2019) and Commemorative Issue in Catalysts Journal (2020). His research has generated 389 peer-reviewed publications , 14 patents , and over 10,000 citations .

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Ian Frigaardمشاهده پروفایل

استاد

University of British ColumbiaCanada

Ian Frigaard is a Professor in the Department of Mechanical Engineering at the University of British Columbia (UBC), affiliated with the Faculty of Applied Science. He also holds an appointment in the Department of Mathematics. His research group operates in UBC's Complex Fluids Lab, focusing on interdisciplinary studies combining mathematical, experimental, and computational approaches. Education: B.Sc. (University of Wales) M.Sc. (University of Oxford) D.Phil. (University of Oxford) C.Math. (Certificate in Mathematics) Research Interests: Professor Frigaard specializes in non-Newtonian fluid mechanics, particularly the mechanics of visco-plastic (yield stress) fluids. His work addresses industrial challenges in petroleum engineering, including well cementing, leakage prevention, and abandonment techniques related to GHG emission control and environmental protection. Research methodologies span theoretical modeling, experimental validation, and computational simulations. Publication Trends: Recent work (2021–2023) emphasizes bubble dynamics in complex fluids, displacement flows in annular geometries, wellbore integrity modeling, and stochastic risk assessment for oil/gas operations. Publications frequently appear in top-tier journals like the Journal of Fluid Mechanics and Journal of Non-Newtonian Fluid Mechanics . Awards & Honors: CSME Fluid Mechanics Medal (2024) Stanley G. Mason Award, Canadian Society of Rheology (2022) Killam Research Prize, UBC (2019) Academic Leadership: Leads a research group of 10+ graduate students and postdocs. Provides summer internships and collaborates extensively with the petroleum industry. Research is supported by industrial partnerships and institutional grants. Facilities: Conducts experiments in UBC's Complex Fluids Lab, equipped for advanced rheological measurements and flow visualization.

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Jean-Christophe Naveمشاهده پروفایل

دانشیار

McGill UniversityCanada

Dr. Jean-Christophe Nave is an Associate Professor in the Department of Mathematics and Statistics at McGill University, specializing in applied mathematics, numerical analysis, and computational methods. His research focuses on numerical methods for partial differential equations, fluid mechanics, interface problems, and computer graphics. He holds a PhD from UCSB (2004) and has held academic positions at MIT and McGill since 2005. Currently, he serves on committees such as the Steering Committee of the Institut des Sciences Mathematiques and the CRM Applied Mathematics Lab. His educational background includes a PhD under Professors Xu-Dong Liu and Sanjoy Banerjee. Key research areas include level set methods, fluid-structure interaction, and invariant numerical methods. Notable works include the Correction Function Method for interface problems and the Characteristic Mapping Method for advection problems. Nave’s publications span topics like Poisson equations with discontinuous coefficients, fluid dynamics simulations, and high-order numerical schemes. He has advised numerous graduate and undergraduate students, contributing to their research in applied mathematics and computational science. His work bridges theoretical rigor and practical applications in engineering and physics. He teaches advanced courses such as Numerical Analysis I/II and Computational Methods in Applied Mathematics. His research group collaborates on projects involving fluid dynamics, elasticity, and geometric algorithms, with a focus on developing robust numerical tools for complex systems.

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Shiyu Suمشاهده پروفایل

استادیار

University of WaterlooCanada

Shiyu Su is an Assistant Professor in the Department of Electrical and Computer Engineering at the University of Waterloo. His research focuses on high-speed data converters, wireless transceivers, digital phase-locked loops (PLL), and AI-assisted analog/mixed-signal design automation. He holds a Ph.D. from the University of Southern California (2019) and teaches courses such as ECE 340 (Electronic Circuits 2) and ECE 432 (Radio Frequency Integrated Devices and Circuits). Education: B.S. from Beijing University of Post and Telecommunication (China) and Queen Mary, University of London (UK), 2011; M.S. and Ph.D. from USC, 2013 and 2019, all in electrical engineering. Research Interests: High-speed ADCs/DACs RF/mm-wave transceivers Time-approximation filters (TAF) Analog/mixed-signal design automation Memristor-based computing Biomedical interfaces Key Awards: IEEE SSCS Predoctoral Achievement Award (2017–2018) Best Student Paper Award at IEEE RFIC (2022) Ming Hsieh Institute Scholar (2019–2020) Lab Focus: The Shiyu Su Lab develops integrated circuits for communications, sensing, and computing, with a focus on AI-driven methodologies and digital-analog co-design. Collaborations include work with Prof. Wei Wu (USC) on memristor-based systems.

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Amir Hakamiمشاهده پروفایل

استاد

Carleton UniversityCanada

Dr. Amir Hakami is a Professor in the Department of Civil & Environmental Engineering at Carleton University , where he leads the Carleton Atmospheric Modelling Group . His research focuses on advanced air quality modeling techniques to inform environmental policy. Degrees: B.Sc. (Polytechnic of Tehran), M.Sc., Ph.D. (Georgia Tech), Postdoc (Caltech) Contact: Office 3454 Mackenzie Building, Phone: 613-520-2600 ext. 8609, Email: amir.hakami@carleton.ca Research Interests: Air quality modeling at multiple spatial scales Adjoint sensitivity analysis for atmospheric response Inverse modeling and data assimilation techniques Uncertainty quantification in environmental systems Interdisciplinary applications in policy, public health, and economics Teaching: Courses include Environmental Engineering Systems Modeling , Contaminant Transport , and Air Pollution & Emissions Control at undergraduate and graduate levels. Research Group: The group includes Ph.D. candidates, postdoctoral fellows, and alumni working on topics ranging from atmospheric chemistry to sustainable energy systems. Members come from diverse backgrounds in engineering, science, and policy disciplines.

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Pascale Bironمشاهده پروفایل

استاد

University of QuebecCanada

Pascale Biron is a Professor in the Department of Geography, Urban Planning and Environment at Concordia University, Montreal. She holds a Ph.D. in Geography from Université de Montréal (1995) and has been with Concordia since 1998. Her research focuses on river dynamics, stream restoration for fish habitat, flood modeling, and climate change impacts. She specializes in hydrogeomorphology, river management in agricultural watersheds, and numerical modeling of fluvial processes. Research Interests: Her work includes river restoration strategies, flood risk assessment using LiDAR technology, and the 'river freedom' concept promoting ecosystem resilience. She collaborates closely with government agencies to translate research into practical river management policies. Professional Affiliations: Canadian Geomorphology Research Group, Canadian Association of Geographers, American Geophysical Union, GRIL (Limnology Research Group), and RIISQ (Quebec Flood Risk Network). Publications & Research: Recent studies address global salmonid biomass patterns, fluvial hazard detection via machine learning, and large-scale flood modeling. She supervises 19 graduate students in Ph.D./M.Sc. programs in Geography and Environmental Studies, focusing on topics like river confluence hydraulics and agricultural stream restoration. Grants & Funding: Active projects include river dynamics in fish habitats, flood modeling for road infrastructure vulnerability, and computational fluid dynamics simulations of river flows. She also leads research on societal dimensions of river restoration and policy frameworks for flood resilience.

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Orlando Rojasمشاهده پروفایل

استاد

University of British ColumbiaCanada

Orlando Rojas is a Professor at the University of British Columbia (UBC), holding joint appointments in the Departments of Chemical and Biological Engineering, Chemistry, and Wood Science. He leads the Biobased Colloids and Materials (BiCMat) research group and directs the Bioproducts Institute . His research focuses on sustainable development through renewable materials, including nanopolysaccharides, bacterial nanocellulose, lignins, and multiphase systems. Rojas has advised over 50 PhD students and 40+ MS students, with a h-index of 90 (Google Scholar). Key Roles/Positions : Canada Excellence Research Chair in Renewable Materials Adjunct Professor at NC State University (USA) and Dalian Polytechnic University (China) Director of FinnCERES Flagship (Finland) Research Interests : Development of bio-based materials for energy, healthcare, and environmental applications. Key areas include nanocellulose functionalization, lignin valorization, and bioinspired materials. His work integrates colloidal science, multiphase systems, and sustainable manufacturing. Grants & Awards : ERC Advanced Grant and Horizon H2020 funding 2013 ACS Fellow, 2015 Tappi Nanotechnology Award First Latin-American recipient of the Anselme Payen Award (ACS) Labs & Collaborations : Active partnerships with Aalto University (Finland) and institutions globally. Leads the BiCMat group spanning UBC and FinnCERES, focusing on bio-based materials and sustainable technologies.

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Justin Wanمشاهده پروفایل

استاد

University of WaterlooCanada

Justin Wan is a Professor in the Department of Computer Science at the University of Waterloo. His research focuses on scientific computing, medical image processing, computational finance, and machine learning. He holds a Ph.D. from UCLA (1998), an M.A. from UCLA (1995), and a B.Sc. from the Chinese University of Hong Kong (1992). Wan’s work bridges numerical methods, optimization, and deep learning, with applications in financial modeling, medical imaging, and fluid dynamics. His research interests include advanced techniques in scientific computing (e.g., multigrid methods), computer graphics simulation, and medical image enhancement (e.g., CT scan artifact reduction). He has pioneered applications of machine learning to computational finance, including option pricing and hedging using deep neural networks and GANs. His recent work explores denoising diffusion models and multi-agent systems for optimal execution in finance. Publications span topics like volatility surface computation, optimal mass transport for image registration, and parallel solvers for fluid dynamics. His methods address challenges in high-dimensional problems, robust numerical valuation, and scalable algorithms for large datasets. Wan collaborates across disciplines, integrating mathematical rigor with practical engineering solutions.

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Joshua Brinkerhoffمشاهده پروفایل

دانشیار

University of British ColumbiaCanada

Dr. Joshua Brinkerhoff is an Associate Professor in Mechanical Engineering at the University of British Columbia Okanagan Campus. He serves as the Associate Director for Research & Industrial Partnerships in the School of Engineering and leads the UBC-Okanagan Computational Fluid Dynamics Laboratory. His research spans computational fluid dynamics, turbomachinery, multiphase flows, hydrogen safety, wind energy, and biofluid mechanics. He teaches courses in mechanics of materials, alternative energy systems, turbulence, computational fluid dynamics, and aircraft design. PhD, Aerospace Engineering (Carleton University, Ottawa, ON) BEng, Aerospace Engineering (Carleton University) Dr. Brinkerhoff’s research interests include: Computational Fluid Dynamics (CFD) for laminar-to-turbulent transition and instability analysis Wind energy systems and turbine aerodynamics Hydrogen storage and safety protocols for transportation Biofluid mechanics for respiratory diseases and aneurysm modeling Multiphase flows in industrial and environmental contexts His publications focus on CFD simulations for: Aerosol dispersion and mitigation in indoor environments Wind farm interactions and atmospheric gravity waves Cavitation and phase transitions in cryogenic and LNG systems Heat transfer optimization in industrial and thermal systems Instability dynamics in buoyancy-driven and swept flows Turbulent structures in fluidized beds and reactors Dr. Brinkerhoff has no listed scientific awards in the provided data but has extensive contributions to renewable energy, hydrogen safety, and medical fluid dynamics. His laboratory develops open-source tools like TOSCA for large-eddy simulations and investigates practical applications in urban air quality, dental aerosol control, and turbine wake modeling.

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Daria Camilla Boffitoمشاهده پروفایل

استاد

Polytechnic School of MontrealCanada

Daria Camilla Boffito is a Full Professor in the Department of Chemical Engineering at Polytechnique Montréal , holding the Tier-2 Canada Research Chair in Intensified Mechano-chemical Processes for Sustainable Biomass Conversion. Her research spans process intensification , catalysis , sonochemistry , photocatalysis , and metal extraction , with a focus on sustainability. Education: B.Sc. and Ph.D. in Industrial Chemistry from the University of Milan, M.Sc. in Industrial Chemistry and Management Current Research: Developing ultrasound-assisted extraction , CO2 conversion , and floating photocatalysts for wastewater treatment Collaborations: Works with Canadian and international companies on sustainable chemical processes Scientific Awards include the Canada Research Chair Tier-2 (2016-2021), NSERC Banting Postdoctoral Fellowship (2013-2016), and FRQNT PBEEE Postdoctoral Fellowship (2013-2016). Advising has seen 5 Ph.D. and 9 Master's students graduate. She leads the Engineering Process Intensification and Catalysis (EPIC) Laboratory and is a member of the Institut de génie biomédical .

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Diane Guignardمشاهده پروفایل

استادیار

University of OttawaCanada

Diane Guignard is an Assistant Professor in the Department of Mathematics and Statistics at the University of Ottawa. Her research focuses on numerical analysis, partial differential equations, and computational methods with applications to mechanics and stochastic systems. She holds a position in a leading mathematics department and can be contacted at dguignar@uOttawa.ca . Her research interests include finite element methods, model reduction, uncertainty quantification, and optimal transport-based mesh adaptation. She explores nonlinear approximation theories for high-dimensional anisotropic functions and develops computational frameworks for thin structures and colloidal flow simulations. Her work bridges numerical analysis with practical engineering challenges, emphasizing adaptive algorithms and error estimation techniques. Her recent publications (2021-2024) highlight contributions to goal-oriented mesh adaptation, stochastic field approximations on surfaces, and large deformation analyses of prestrained plates. These studies emphasize interdisciplinary approaches combining mathematical rigor with computational innovation. Dr. Guignard has not been explicitly noted for awards in the provided materials. Her advising record is currently unspecified, though her research group likely engages in advanced numerical methods and computational mechanics projects.

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Sohrab Zendehboudiمشاهده پروفایل

استاد

Memorial University of NewfoundlandCanada

Dr. Sohrab Zendehboudi is an Equinor Chair Professor and research lead in the Department of Chemical and Process Engineering at Memorial University's Faculty of Engineering and Applied Science. His work focuses on energy and environmental challenges through experimental and modeling approaches. He has over 15 years of experience across academia and industry in Iran, Kuwait, the U.S., and Canada. He holds a PhD in Chemical Engineering (specializing in transport phenomena) from the University of Waterloo. Research interests include carbon capture, utilization, and sequestration (CCUS), renewable energy systems, process systems engineering, and advanced wastewater treatment. He leads a large research team addressing theoretical and practical challenges in energy sustainability and environmental protection. Key achievements include the 2023 Lectureship Award. His publications span topics like hydrogen production, CO2 storage, solar energy systems, and novel adsorbent materials. He actively seeks graduate students and researchers skilled in experimental work, numerical modeling, and machine learning for energy applications. Education: PhD in Chemical Engineering (University of Waterloo) Key Areas: CO2 Management, Bioenergy, Adsorption Technologies Labs/Teams: Large interdisciplinary research group Grants: Focus on renewable energy and sustainability projects

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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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Markus Piroمشاهده پروفایل

دانشیار

McMaster UniversityCanada

Dr. Markus Piro is an Associate Professor in the Department of Engineering Physics at McMaster University, specializing in Nuclear Engineering and Energy Systems. He teaches ENG PHYS 3D04, focusing on fission/fusion energy systems, reactor design, and radiation interactions. His research emphasizes thermodynamic modeling of nuclear fuels, computational fluid dynamics (CFD), and severe accident analysis in reactors like CANDU and molten salt systems. Key projects include phase equilibrium studies of advanced fuels, corrosion mechanisms, and coupling CFD with thermodynamic simulations for reactor safety. He leads the Nuclear Fuels And Materials Group, developing tools like Thermochimica and collaborating on fuel design, cladding interactions, and accident mitigation strategies. Recent work includes investigations into Nd-C/Ce-C TRISO coatings, molten salt reactor chemistry, and FeCrAl cladding behavior under accident conditions. Dr. Piro’s computational expertise spans reactor hydraulics, thermal-hydraulic modeling, and material compatibility studies. He actively contributes to international initiatives like the TAF-ID database and engages in experimental validation of corium behavior. Current activities include accepting graduate students and advancing multiphysics simulation frameworks for next-gen reactors.

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David Lozinskiمشاهده پروفایل

دانشیار

McMaster UniversityCanada

David Lozinski is an Associate Professor in the Department of Mathematics and Statistics at McMaster University, Faculty of Science. His research spans combustion science, fluid dynamics, and financial mathematics. He has published extensively on topics like smoldering combustion, flame stability, and quantitative risk modeling. Teaching responsibilities include courses on risk management, actuarial mathematics, financial markets, and applied statistics. Research interests combine theoretical and applied mathematics with practical applications in combustion engineering and financial systems. Key contributions include studies on reverse smoldering mechanisms (1995), vapor diffusion flames (1995), and modern financial risk models (2024). Teaching spans undergraduate and graduate programs, covering mathematical finance, probability, and statistical inference. No scientific awards are listed in the profile. Active in curriculum development for financial mathematics programs, instructing courses like MFM 714 (Risk Management) since 2025 and STATS 3G03 (Actuarial Mathematics I) since 2024.

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