جستجوی استاد راهنمای دانشگاهی

Yashar Ganjali is a Professor in the Department of Computer Science at the University of Toronto , leading the Systems and Networking Group . His research spans computer networks , with a focus on data center networking , software-defined networking (SDN) , and congestion control . Education : Not explicitly detailed, but inferred from academic rank as a Professor. His work on flow consolidation , load migration in SDN controllers , and machine learning for network management has been influential. Recent projects include FORESIGHT (2025) for ML-driven scheduling and Meta-Migration (2023) to reduce switch migration latency. Scientific Awards include the IFIP Networking 2025 Best Paper Award . Collaborations with institutions like Google (2024) and Facebook (2019) highlight his industry impact. Advisees include Sepehr Abbasi Zadeh (PhD, 2024). Current projects integrate optical packet switching and eBPF-based network augmentation , aiming to address scalability, micro-bursts, and resource allocation efficiency in cloud environments.

• Computer Networks
• Data Center Networking
• Software Defined Networking (SDN)
• +۵ مورد دیگر

David Eaton is a Professor and former NSERC/Chevron Industrial Research Chair in Microseismic System Dynamics at the University of Calgary's Department of Geoscience. He holds a PhD in Geophysics from the University of Calgary (1992) and has published the textbook 'Passive Seismic Monitoring of Induced Seismicity'. Educational Background: PhD Geophysics, University of Calgary, 1992 MSc Geophysics, University of Calgary, 1988 BSc Geology and Physics, Queen's University, 1984 His research focuses on induced seismicity characterization, microseismic monitoring technology development, distributed acoustic sensing applications, physics-informed machine learning approaches, and lithospheric structure analysis. Current projects investigate earthquake triggering mechanisms during hydraulic fracturing and geothermal energy development. Publications show consistent focus on induced seismicity source characterization, monitoring methodologies, and geophysical applications for energy resource development. Recent work integrates machine learning with seismic monitoring to understand geological controls on induced seismicity. Scientific Awards: NSERC Synergy Award for Innovation (2020) J. Tuzo Wilson Medal, Canadian Geophysical Union (2020) CSEG Distinguished Lecturer (2019) Schulich School of Engineering Distinguished Collaborator (2019) University of Calgary Great Supervisor Award (2016) He leads the CREATE-REDEVELOP program training future leaders in responsible resource development and directs the microseismic research laboratory.

• Induced Seismicity
• Microseismic Monitoring
• Distributed Acoustic Sensing
• +۲ مورد دیگر

Jason Au is an Assistant Professor at the University of Waterloo, specializing in vascular physiology and exercise-related cardiovascular dynamics. His research focuses on understanding complex blood flow patterns, arterial stiffness, and the impact of exercise on vascular health. He leads the Vascular Observations through Research on Technology and Exercise (VORTEX) Lab, integrating advanced imaging techniques like high-frame-rate ultrasound. Dr. Au holds a BSc and PhD in Kinesiology from McMaster University and a Postdoctoral Fellowship in Electrical & Computer Engineering at the University of Waterloo. His research interests include three main areas: 1) Complex blood flow and wall motion in arteries/veins, 2) Sedentary behavior/exercise exposure on vascular risk, and 3) Novel biomarkers of vascular disease progression. His work combines experimental models with computational approaches to study vascular health comprehensively. Key publications highlight innovations in ultrasound imaging (e.g., vector projectile imaging) and physiological mechanisms like arterial wall motion regulation. Dr. Au’s lab offers graduate supervision across MSc, PhD, and postdoctoral levels, with active projects exploring exercise countermeasures to vascular disease and technological advancements in medical imaging. Laboratory activities emphasize translational research, bridging basic science and clinical applications to improve cardiovascular health outcomes. Collaborations span engineering, physiology, and clinical domains to address unresolved questions in vascular biology.

• Cardiovascular physiology
• Vascular disease
• Blood flow dynamics
• +۳ مورد دیگر

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.

• Nuclear Engineering
• Energy Systems
• Thermodynamics
• +۳ مورد دیگر

Roger Beckie is a Professor in the Department of Earth, Ocean & Atmospheric Sciences at the University of British Columbia (UBC), part of the Faculty of Science. His research focuses on physical, geochemical, and biological processes in environmental systems, particularly in hydrogeology, mine drainage, and groundwater contamination. He holds a B.A.Sc. from the University of Waterloo and a Ph.D. from Princeton University, and is a Professional Engineer (P.Eng.). Key research areas include fugitive gas migration from energy wells, mine waste rock geochemistry, and groundwater hydrology. His work addresses challenges such as acid rock drainage prediction, metal attenuation mechanisms, and the impacts of subsurface gas migration in petroleum development regions. He collaborates with industry and government to advance environmental management strategies and has contributed to large-scale field experiments, including controlled gas release studies in northeastern British Columbia. Beckie supervises graduate students in interdisciplinary projects, emphasizing field investigations and numerical modeling. He is affiliated with UBC's Institute of Applied Mathematics and teaches advanced courses in groundwater hydrology and contamination. His research integrates hydrological, geochemical, and isotopic tools to address complex environmental systems, with applications in mining, oil and gas, and groundwater sustainability.

• Hydrogeology
• Mine Drainage
• Groundwater Contamination
• +۴ مورد دیگر

Avery Berman is an Assistant Professor in the Department of Physics at Carleton University and a Scientist at the University of Ottawa Institute of Mental Health Research (IMHR) at The Royal. His work focuses on advancing functional MRI (fMRI) techniques for high-resolution imaging of brain activity and physiology, with applications in neuroscience and mental health disorders. PhD in Biomedical Engineering and MSc in Medical Radiation Physics from McGill University Postdoctoral research at Harvard Medical School and the Martinos Center for Biomedical Imaging Research Interests include: High-resolution fMRI at 7 Tesla Biophysical modeling of vascular networks Quantitative biomarkers for oxygen metabolism PET-MRI hybrid imaging systems Neurovascular coupling in mental illness Scientific Awards include: NSERC Canada Graduate Scholarship (Master's) CIHR Canada Graduate Scholarship (Doctoral) CIHR Postdoctoral Fellowship (top 10/600 applicants) NSERC Postdoctoral Fellowship (top Physics section recipient) Research Funding from NSERC, CFI, and institutional support from Carleton University and IMHR. His lab develops the open-source BOLDsωimsuite software for fMRI signal modeling and collaborates with Canada-wide vascular training programs.

• Medical Physics
• Functional Neuroimaging
• Biomedical Engineering
• +۵ مورد دیگر

W. Kendal Bushe is an Associate Professor at the Faculty of Applied Science , University of British Columbia , within the Department of Mechanical Engineering . His research focuses on turbulent combustion, numerical simulation, and computational fluid dynamics (CFD) with applications to internal combustion engines and thermal power generation. Developed the Conditional Source-term Estimation (CSE) method for turbulent combustion modeling. Conducted experimental studies on methane/natural gas ignition in engines. Expertise in Reynolds-Averaged Navier-Stokes (RANS) and Large Eddy Simulation (LES) for reacting flows. Current projects involve autoignition modeling in HCCI engines using Stochastic Particle Models . Teaching Activities : Courses on heat transfer, energy conversion systems, computational fluid dynamics, combustion, and turbulent shear flows. Scientific Recognition : Fellow of the Combustion Institute.

• Combustion
• Turbulence
• Numerical Simulation
• +۳ مورد دیگر

Marek Stastna is a Professor at the University of Waterloo, specializing in stratified fluid dynamics, climate dynamics, and wave dynamics in porous media. His research focuses on numerical simulations of geophysical fluid systems, including radiatively driven convection in ice-covered lakes, internal solitary waves, gravity currents, and turbulence-resolving spectral element methods. He has contributed to understanding shear instability, reactive tracer transport, and the interaction of waves with porous barriers. Stastna's work bridges computational fluid dynamics with environmental applications, addressing challenges in coastal oceanography, climate modeling, and multiphase flow phenomena. Key research themes include: Stratified shear instability in cold water systems 3D simulations of internal swash zones and turbulent bursts Effects of solar radiation on buoyant flows under ice covers Graph-based analysis of wave behavior in shear currents Recent publications (2023-2025) emphasize advanced numerical methods for resolving multi-scale phenomena such as large-amplitude internal waves, reactive tracer dynamics, and cabbeling-induced instabilities. His work on gravity currents and porous media interactions highlights practical applications in environmental engineering and hydrology.

• Stratified Fluid Dynamics
• Climate Dynamics
• Wave Dynamics in Porous Media
• +۳ مورد دیگر

George Psofogiannakis is an Assistant Professor in the Department of Chemical and Biological Engineering at the University of Ottawa's Faculty of Engineering. His research integrates computational modeling with energy storage and conversion systems, focusing on advanced materials for sustainable technologies. His academic credentials include: Ph.D. in Chemical Engineering, University of Ottawa (2007) M.A.Sc. in Chemical Engineering, University of Ottawa B.A.Sc. in Chemical Engineering, University of Toronto Professor Psofogiannakis' research spans computational materials science and chemical engineering , specializing in fuel cells , redox flow batteries , and gas storage materials . He employs advanced simulation techniques including Density Functional Theory (DFT) , Reactive Molecular Dynamics (ReaxFF) , and Computational Fluid Dynamics (CFD) to investigate reaction mechanisms and material properties at atomic scales. His work bridges theoretical modeling with practical energy applications, particularly in hydrogen storage and catalytic processes. Recent publications (2021-2024) reveal a dominant focus on two-dimensional carbon materials (carbophenes) for gas adsorption, with significant contributions to understanding functionalization effects, mechanical properties, and band-gap engineering. His research consistently applies DFTB and ReaxFF methodologies to solve complex problems in energy materials. Professional recognition includes: Marie-Curie Fellowship (2008-2013) He teaches core Chemical Engineering courses including Catalysis by Metals and Zeolites, Electrochemical Processes, and Computational Methods. His research group develops computational frameworks for next-generation energy materials, with ongoing projects in battery systems and catalytic converters. Future work emphasizes predictive modeling of material degradation and optimization of adsorption mechanisms for industrial-scale gas storage. Professor Psofogiannakis leads a computational laboratory focused on atomic-scale simulation of energy materials, collaborating with experimental groups to validate theoretical predictions and accelerate materials discovery.

• Fuel Cells
• Redox Flow Batteries
• Density Functional Theory
• +۳ مورد دیگر

Stephan Reuter is a Full Professor in the Department of Engineering Physics at Polytechnique Montréal , holding the TransMedTech Research Chair in Plasma Medicine . His work bridges plasma physics, biomedicine, and environmental technology through advanced diagnostics and interdisciplinary applications. Education: Dipl. Phys.-Ing. (Master in Engineering Physics), Dipl. Phys. (M.Sc. in Physics), Dr. rer. nat. (PhD) Affiliations: TransMedTech Institute, Institute of Biomedical Engineering, Alexander von Humboldt Foundation Alumnus Research Interests: Non-thermal plasma physics, plasma medicine, ultrafast laser diagnostics, plasma-liquid interactions, environmental remediation His 15 most recent publications (2022-2025) focus on cold atmospheric plasma jets for cancer therapy, agricultural sustainability, and microfluidic integration. These works span Plasma Medicine , Environmental Technology , and Advanced Diagnostics , with specific subfields like 3D tumor modeling, reactive oxygen species analysis, and precision plasma dosimetry. Scientific Leadership : Feodor Lynen Research Fellow (Princeton University, 2017-2018) Co-founder of Leibniz Institute's Plasma Medicine Group Editorial contributor to Plasma Sources Science and Technology Research Impact : Over 98 peer-reviewed journal articles Keynote speaker at ISPC26 (2025) Major grants: $3.4M for greenhouse plasma technology (2024), $1M NFRF Exploration Grant (2021) Labs & Collaborations : Polytechnique Montréal Plasma Biophysics Lab TransMedTech Institute International collaborations: Leibniz Institute (Germany), Queens University (UK), Lublin University (Poland)

• Plasma Physics
• Plasma Medicine
• Ultrafast Laser Spectroscopy
• +۴ مورد دیگر

Victor Snell is an Industry Professor in Engineering Physics at McMaster University with 50 years of experience in nuclear reactor safety, licensing, and computer code validation. His work focuses on CANDU reactor technology, severe accident management, and regulatory compliance for advanced nuclear systems. Research interests span Nuclear Engineering , Reactor Safety , Licensing Procedures , and Thermal Hydraulics . His recent publications analyze power reactor reactivity coefficients , severe accident programs , and computer code validation in nuclear contexts. Key trends in his 15 most recent articles (2000-2020) include reactor design safety ( ACR-1000 ), licensing harmonization across international markets, computer simulation for thermalhydraulic phenomena, and PIRT methodology for accident analysis. Collaborative efforts with institutions like UNENE and CNS are recurrent themes. As an instructor, he taught the course Nuclear Reactor Safety Design - UN 803 in 2019 and 2022. His career includes extensive work with the Canadian Nuclear Society and Atomic Energy of Canada Limited.

• Nuclear Engineering
• Reactor Safety
• Licensing and Regulatory Compliance
• +۷ مورد دیگر

Jason Steffener is an Associate Professor at the University of Ottawa’s Faculty of Health Sciences. His research focuses on neuroplastic changes in aging brains, cognitive reserve mechanisms, and neuroimaging techniques. He holds a PhD in Biomedical Engineering from NJIT and has held academic positions at Columbia University Medical Center, Concordia University, and now Ottawa. His work integrates neuroimaging (fMRI, structural MRI), statistical modeling, and computational approaches to study brain adaptability. Education: BS (1997), MS (2002), PhD (2005) in Biomedical Engineering from NJIT Postdoctoral training (2006–2009): Columbia University under Dr. Yaakov Stern Research emphasizes how education, physical activity, and lifetime exposures influence brain resilience against aging and disease. Key methodologies include moderated-mediation analysis, neurovascular coupling studies, and high-performance computing. He develops open-source tools for neuroimaging data standardization (e.g., NIDM framework). Recent work investigates semantic memory networks in aging, trigeminal sensory processing, and olfactory training effects on brain structure. His grants likely support interdisciplinary projects combining clinical neuroscience with big data analysis. Labs/Teams: Likely leads neuroimaging research groups focused on aging and cognitive reserve at University of Ottawa. Collaborates internationally on projects like the SABE Study and Canadian Longitudinal Study on Aging.

• Cognitive Aging
• Neuroimaging
• Brain Plasticity
• +۴ مورد دیگر

Jaclyn (Jackie) J Stewart is a Teaching Professor in the Department of Chemistry at the University of British Columbia (UBC). She currently serves as Associate Dean Academic in the Faculty of Science, overseeing curriculum development, program administration (including Science One and Coordinated Science), and academic initiatives like the Skylight Science Centre for Learning and Teaching. Dr. Stewart holds a B.Sc. (Honours Chemistry) and M.Sc. (Wood Science) from UBC, and a Ph.D. in Educational Psychology from Simon Fraser University. Her research focuses on educational psychology , science education , and program evaluation , with a particular emphasis on improving teaching practices, fostering inclusive learning environments, and enhancing communication skills in STEM. She teaches courses such as Chemistry 100, 121, 123, and specialized classes like Chemistry 445 (Research Learning Experience in Chemistry Education). Dr. Stewart is a key contributor to UBC's Science Writing Resources for Learning (ScWRL) initiative, which provides open-access tools for science communication. She also administers awards like the Science Killam Teaching Prizes and oversees student evaluation of teaching processes. Her work spans interdisciplinary collaboration, equity in STEM education, and innovative pedagogical strategies. She has published widely on topics including active learning platforms, nonbinary student inclusion, and systems approaches to sustainable chemistry practices.

• Educational Psychology
• Science Education
• Program Evaluation
• +۳ مورد دیگر

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.

• Computational Geomechanics
• Multiphysics Modeling
• Phase-Field Modeling
• +۳ مورد دیگر

Peter D. Minev is a Professor in the Department of Mathematical and Statistical Sciences at the University of Alberta, Canada. His research specializes in computational fluid dynamics, numerical methods for partial differential equations (PDEs), and large-scale simulations for scientific and engineering problems. He develops advanced algorithms for incompressible Navier-Stokes equations, fluid-structure interaction, multiphase flows, and magnetohydrodynamics (MHD). Education: MSc and PhD from Sofia University, Bulgaria. Research Focus: Minev's work spans: High-order time-stepping schemes and splitting methods for complex PDEs Fictitious domain approaches for fluid-structure interaction Parallel algorithms for supercomputing applications Modeling of multiphysics phenomena (e.g., porous media flows, phase-field equations) He has created benchmark results for 3D lid-driven cavity flows and simulations of particle sedimentation/bubble dynamics. Publications: His recent articles (2014–2021) focus on: Efficient splitting schemes for stress/vorticity formulations High-order adaptive time integration Algorithms for spherical/heterogeneous geometries Applications in fuel cells, geophysics, and biomechanics A consistent theme is minimizing computational complexity while maintaining accuracy.

• Computational Fluid Dynamics
• Numerical Analysis
• Fluid-Structure Interaction
• +۴ مورد دیگر