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Jean-Pierre HickeyView profile

Associate Professor

• Multiphysics Simulations
• Turbulent Simulations (LES/DNS)
• High-speed Aerothermodynamics
• +4 more

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. BhiladvalaView profile

Associate Professor

• Nanoscale Materials
• Mechanics & Transport
• Fluid and Biomedical Sensor Development
• +6 more

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 AlzoubiView profile

Assistant Professor

• Transport phenomena in porous media
• Phase-change heat and mass transfer
• Artificial ground freezing
• +5 more

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 CzekanskiView profile

Professor

• Additive Manufacturing
• Bioprinting
• Material Characterization
• +9 more

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 DennistonView profile

Professor

• Soft Condensed Matter Physics
• Complex Fluids
• Granular Matter
• +7 more

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 ShiriView profile

Associate Professor

• Offshore Engineering
• Subsea Pipelines
• Arctic Geotechnics
• +2 more

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.

Mohsen MohammadiView profile

Professor

• Metal Additive Manufacturing
• 3D Printing of Composites
• Cognitive Sensitive Design
• +4 more

Mohsen Mohammadi is a Professor in the Department of Mechanical Engineering at the University of New Brunswick, where he also serves as Head of the Materials Engineering Research Group. His research specializes in advanced materials processing and characterization with focus areas including metal additive manufacturing, 3D printing of composites, fatigue and fracture mechanics, crystal plasticity modeling, micromechanical analysis, and finite element methods. His laboratory develops innovative approaches for laser powder bed fusion, wire-arc additive manufacturing, and hybrid manufacturing techniques. Current investigations examine microstructure-property relationships in additively manufactured nickel aluminum bronze, titanium alloys, stainless steels, and high-entropy alloys for aerospace, marine, and energy applications. Recent publications demonstrate his work on optimizing mechanical properties through post-processing techniques, characterizing high strain rate behavior, and improving corrosion resistance through microstructure control in additively manufactured components.

Raymond J. SpiteriView profile

Professor

• Scientific Computing
• Numerical Analysis
• Applied Mathematics
• +5 more

Raymond J. Spiteri is a Professor in the Department of Computer Science at the University of Saskatchewan, where he also directs the Centre for High-Performance Computing. His research spans numerical analysis, scientific computing, and applied mathematics, with a focus on developing numerical methods and software for differential equations, computational fluid dynamics, and exascale computing. He has led projects funded by Mprime and Mitacs, collaborating with industries like AFCC and Ballard Power. Education: Ph.D. in Mathematics (Institute of Applied Mathematics), University of British Columbia, 1997 B.Sc. (Hons.) in Applied Mathematics (Theoretical Physics), University of Western Ontario, 1990 Postdoctoral Fellow, School of Computer Science, McGill University, 1997–1999 Research Interests: Numerical methods for ODEs/DAEs/PDEs, including Runge-Kutta and SSP methods High-performance computing and parallel programming Applications in fluidized bed simulation, cardiac electrophysiology, and climate modeling Software development for scientific computing (e.g., problem-solving environments) Recent Article Trends: Advancements in implicit-explicit methods and operator-splitting techniques Computational modeling of cardiac arrhythmias and electrochemical systems Large-scale simulations for environmental and geophysical processes High-performance computing optimizations for exascale architectures Grants & Leadership: Director of the Centre for High-Performance Computing (College of Arts and Science) Executive Committee member of WestGrid/Compute Canada Past leader of the Mprime project on fuel cell simulation and transport phenomena Labs & Teams: Research is conducted in the Numerical Simulation Laboratory, focusing on interdisciplinary projects with industrial and academic partners.

Zeinab El-SayeghView profile

Assistant Professor

• Vehicle System Dynamics
• Autonomous Vehicles
• Ride Comfort
• +5 more

Dr. Zeinab El-Sayegh is an Assistant Professor in the Department of Automotive and Mechatronics Engineering at the University of Ontario Institute of Technology. She is affiliated with the Faculty of Engineering and Applied Science and holds professional engineering licensure (PEng). Her research focuses on vehicle dynamics, autonomous systems, and off-road vehicle design, with a strong emphasis on tire mechanics and soil-terrain interactions. She has been recognized with the 2024 Engineering Research Award in the Early Career Category. Education: PhD (Mechanical Engineering), University of Ontario Institute of Technology (2020) MEng (Aerospace Engineering), Concordia University (2018) MEng (Mechanical Engineering), Concordia University (2015) BEng (Mechanical Engineering), Lebanese International University (2013) Research Interests: Vehicle System Dynamics: Studying vibration and control mechanisms in automotive systems. Autonomous Vehicles: Developing path planning and sensor integration for off-road and multi-wheeled platforms. Tire Mechanics: Analyzing tire-soil interaction using advanced computational tools like FEA and SPH. Soil Dynamics: Modeling terrain effects on vehicle stability and performance in diverse environmental conditions. Modeling & Simulation: Creating scalable models for electric combat vehicles and agricultural tires. Professional Activities & Awards: Co-organizer of the F1tenth Competition at the 2024 IEEE Smart Mobility Conference. Assistant Editor of the International Journal of Heavy Vehicle Systems since 2021. Member of ASME Vehicle Design Executive Committee since 2021. Recipient of the 2024 Engineering Research Award (Early Career). Teaching & Engagement: Dr. El-Sayegh teaches courses such as Automotive Vibrations, Machine Design, Autonomous Vehicles, and Vehicle Dynamics & Control. She actively contributes to interdisciplinary research and outreach through memberships in ASME, SAE, and CSME.

Blaise BourdinView profile

Professor

• Solid Mechanics
• Applied Mathematics
• Numerical Analysis
• +4 more

Blaise Bourdin is a Professor of Mathematics and the Canada Research Chair in Mathematical and Computational Aspects of Solid Mechanics (Tier 1) at McMaster University's Department of Mathematics & Statistics. He holds a Doctorate from Université Paris 13 (1998) and has held academic positions at Louisiana State University (2002-2021) and postdoctoral roles at Technical University of Denmark, Caltech, and NYU. His research focuses on interdisciplinary modeling, numerical simulation, and analysis in solid mechanics, with emphasis on defect mechanics and optimal design. He pioneered the phase-field approach to brittle fracture, a widely influential method in fracture mechanics. His work has been supported by over $6M in grants from NSF, NSERC, and industry. Key research areas include solid mechanics, applied mathematics, numerical analysis, and theoretical mechanics. Recent publications (2018-2025) explore fracture toughness measurement, phase-field discretization, hydraulic fracturing, and topology optimization. Education: Doctorate in Mathematics, Université Paris 13 (1995-1998) Advanced Studies Diploma (DEA), Université Paris 13 (1994-1995) Master's and Undergraduate degrees, Université Paris 13 (1990-1993) Teaching includes advanced courses like Fourier Analysis, Optimal Design, and Engineering Mathematics. His software contributions include the open-source 'mef90/vDef' project. Awards include the prestigious Tier 1 Canada Research Chair (2022).

Costas SarrisView profile

Professor

• Computational Electromagnetics
• Scientific Machine Learning
• Wireless Propagation Modeling
• +3 more

Professor Costas Sarris is a faculty member at the Department of Electrical and Computer Engineering , University of Toronto , where he has been since 2002. He holds a PhD in Electrical Engineering and an MSc in Applied and Interdisciplinary Mathematics from the University of Michigan, and a Diploma in Electrical and Computer Engineering from the National Technical University of Athens. Research Focus : Computational electromagnetics, scientific machine learning, wireless propagation modeling, uncertainty quantification, and convex optimization of wireless power transfer systems. Leadership Roles : Editor-in-Chief of the IEEE Journal on Multiscale and Multiphysics Computational Techniques (2019-2024), TPC Chair for multiple IEEE conferences, and Chair of the IEEE MTT-S Technical Committee on Field Theory and Computational Electromagnetics (2018-2020). His recent work includes generalizable neural network propagation models for indoor/tunnel environments, hybrid physics-informed neural networks for multiphysics, and uncertainty quantification techniques using polynomial chaos expansion. He has received numerous awards, including the IEEE Fellow (2025) and the Faculty Teaching Award (2021). Scientific Awards : IEEE Fellow (2025) IEEE Antennas and Propagation Society Distinguished Lecturer (2024-2026) 2021 IET Microwaves, Antennas & Propagation Premium Award IEEE MTT-S Outstanding Young Engineer Award (2013) Ontario Early Researcher Award (2007) He mentors a team of PhD and M.A.Sc. students, with alumni pursuing careers in academia, R&D, and engineering. His group has published extensively in IEEE journals, covering topics like FDTD methods, RIS-enabled communication, and machine learning for microwave engineering.

• Welding and Joining
• Metallurgy
• Materials Processing
• +7 more

Patricio Mendez serves as Professor in the Chemical and Materials Engineering Department at the University of Alberta's Faculty of Engineering, holding the Weldco/Industry Chair in Welding and Joining and directing the Canadian Centre for Welding and Joining (CCWJ). His educational credentials include a Ph.D. and M.S. in Materials Engineering from MIT alongside a Mechanical Engineer degree from the University of Buenos Aires. Professor Mendez's research centers on the physics and mathematics of welding and materials processing, investigating heat transfer, magnetohydrodynamics, arc plasma, thermodynamics, and kinetics. His work drives innovations in wear protection for mining/oil extraction, alloy development, laser cladding, casting, and direct metal additive manufacturing through semi-solid processing. Key research domains encompass advanced welding processes, multi-coupled multiphysics modeling, semi-solid metals processing, and scaling/similarity methods. His distinguished recognition includes: UofA Outstanding Mentorship in Undergraduate Research AWS William Irrgang Award IIW Kenneth Easterling Award ASM Brian Ives Award NSF CAREER Award MIT Rocca Fellowship UBA Research Fellowship As CCWJ Director, he leads industry-academic partnerships advancing welding technologies while mentoring undergraduate researchers recognized by his mentorship award. His leadership extends to holding the Weldco/Industry Chair and serving as Fellow of both the American Welding Society (AWS) and Canadian Welding Association (CWA). His scholarly impact is demonstrated through 68 indexed publications, 9 patents, and ongoing teaching of core courses including CH E 314 Heat Transfer.

Mario IoannidisView profile

Professor

• Multiphase Flow
• Porous Media
• Nanoparticle Transport
• +7 more

Mario Ioannidis is a Professor and Chair of the Department of Chemical Engineering at the University of Waterloo. His research focuses on multiphase flow, nanoparticle transport, and interface dynamics in porous media, with applications spanning contaminant hydrology, petroleum production, and environmental remediation. He has taught core courses in fluid mechanics and specialized topics like biomedical transport and nanotechnology engineering practice. Research Interests: Capillarity and Wetting Colloids and Interfaces Nanoparticle Behavior in Porous Media Multiphysics Modeling of Transport Phenomena Groundwater Remediation Technologies Notable Contributions: Recent work includes modeling tortuosity-connectivity relationships in porous media, experimental studies on passive sampling techniques, and fundamental investigations into Pickering emulsions stabilized by ethyl cellulose nanoparticles. His publications highlight interdisciplinary approaches bridging chemical engineering, environmental science, and nanotechnology.

Nasser Mohieddin AbukhdeirView profile

Associate Professor

• Computational Multiphysics
• Computational Fluid Dynamics
• Reacting Multiphase Flows
• +5 more

Nasser Mohieddin Abukhdeir is an Associate Professor and Associate Chair in the Department of Chemical Engineering at the University of Waterloo. He leads the Computational Multiphysics Research Group, focusing on multiphase flow, soft matter systems, and computational modeling. His expertise spans computational fluid dynamics, reacting multiphase flows, and nanostructured surface analysis. Education: PhD in Chemical Engineering, McGill University (2010) BS/MS in Chemical Engineering & Computer Science, Carnegie Mellon University (2002) Research emphasizes industrial-scale multiphysics processes, including vapor extraction (VAPEX) for heavy oil recovery, bioreactor modeling, and liquid crystal dynamics. His work integrates advanced numerical methods with experimental validation, particularly in complex geometries and boundary conditions. Teaching includes courses on transport phenomena, applied mathematics, and programming for engineers. He has developed open-source tools like OpenCCM and OpenCMP to advance multiphase flow simulation. Key contributions include diffuse-interface methods for two-fluid systems and shapelet-based nanostructure analysis. His research bridges computational innovation with practical applications in energy, materials, and biotechnology.

Michael WellandView profile

Associate Professor

• Nuclear materials
• Energy materials
• Numerical methods
• +10 more

Dr. Michael Welland is an Associate Professor in the Department of Engineering Physics at McMaster University, Canada. His research focuses on computational modeling of nuclear and energy materials, with applications in advanced manufacturing, hydrogen storage, and battery technologies. He previously served as a Senior Research Scientist at Canadian Nuclear Laboratories and has held postdoctoral positions at Argonne National Laboratories and the European Commission Joint Research Centre Karlsruhe. Education: Ph.D. in Nuclear Engineering, Royal Military College of Canada B.Sc. in Engineering Physics, Queen’s University Dr. Welland's expertise spans mesoscale modeling, multiphysics transport, and data-driven material property analysis, contributing to international nuclear and energy initiatives. He actively participates in community outreach and scientific communication. Courses Taught: ENGPHYS 2CM4: Computational Multiphysics ENGPHYS 3NM4: Numerical Methods for Engineering