جست‌وجوی استاد و پژوهشگر

Falk Herwigمشاهده پروفایل

استاد

• Stellar Hydrodynamics
• Nuclear Astrophysics
• Stellar Evolution
• +۳ مورد دیگر

Falk Herwig is a Professor and Director of the Astrophysical Research Center (ARC) at the University of Victoria's Department of Physics and Astronomy. His research focuses on stellar hydrodynamics, nucleosynthesis, and the origin of elements. He leads the Computational Stellar Astrophysics (CSA) group, which conducts large-scale 3D hydrodynamics simulations of stellar convection and nucleosynthesis processes. The CSA group collaborates with the NSF Physics Frontier Center Joint Institute for Nuclear Astrophysics (JINA-CEE) and the NuGrid collaboration, leveraging high-performance computing resources like the Niagara supercomputer. Herwig's work includes studying convection-nuclear burning interactions in massive and binary stars, nucleosynthesis in diverse astrophysical environments, and the chemical evolution of galaxies. He has pioneered methods to model stellar yields and integrate computational models with observational data. His research spans topics from core convection in massive stars to the physics of merging white dwarfs and nova explosions. Herwig has contributed significantly to advancing computational infrastructure for astrophysics, including the development of tools like SYGMA for galactic chemical evolution modeling. His projects are supported by Compute Canada and involve collaborations with international institutions. Recent research highlights include investigating the role of neutron capture processes in element formation and refining models of white dwarf cooling and stellar evolution.

Erik Kjeangمشاهده پروفایل

استاد

• Sustainable Energy Systems
• Polymer Electrolyte Membrane Fuel Cells
• Microfluidic and Nanofluidic Devices
• +۳ مورد دیگر

Erik Kjeang is a Professor and Graduate Student Supervisor in the School of Mechatronic Systems Engineering at Simon Fraser University. He specializes in sustainable energy systems, polymer electrolyte membrane (PEM) fuel cells, and microfluidic/nanofluidic energy conversion. His research focuses on improving fuel cell durability, material design, and system performance through advanced characterization and modeling. Educations: Ph.D. in Mechanical Engineering, University of Victoria (2007) M.Sc. and B.Sc. in Energy Engineering, Umea University, Sweden (2004) Teaching: Courses include MSE 210 (Engineering Measurement), MSE 223 (Fluid Mechanics), and MSE 422/722 (Fuel Cell Systems). Recent course offering: MSE 210 D100 in Fall 2025. Research Interests: Fuel cell durability under extreme conditions (freeze-thaw, high temperature), membrane degradation mechanisms, hydrogen storage materials, and advanced manufacturing techniques for energy systems. His work integrates experimental and computational methods to address real-world challenges in sustainable energy. Advising & Grants: Supervises graduate students in fuel cell technology and material science. Active in securing research funding for energy innovation projects. Labs & Teams: Involved in SFU's energy research labs focusing on fuel cell durability, microfluidic systems, and sustainable material development.

Gino Lavoieمشاهده پروفایل

استاد

• Inorganic Chemistry
• Polymers
• Organometallics
• +۳ مورد دیگر

Gino Lavoie is a Full Professor in the Department of Chemistry at York University, part of the Faculty of Science. His research focuses on catalyst design, ligand development, and polymer chemistry, addressing challenges in the production of high-performance materials. He holds a BSc (Honors) in Chemistry from McGill University (1991), a PhD from MIT (1995), and completed a postdoctoral fellowship at UC–Berkeley (1996–1997). Prior to academia, he worked at Eastman Chemical Company, contributing to over 25 world and U.S. patents. His research group investigates transition metal complexes for catalyzing inert molecules (e.g., dinitrogen, CO₂) and polymerization processes, emphasizing greener solvents and ligand design. Collaborations with computational chemists enhance understanding of catalyst mechanisms. The Lavoie Lab’s work aligns with UN Sustainable Development Goals, particularly climate action and responsible consumption. Education: BSc (Honors), Chemistry, McGill University (1988–1991) PhD, Chemistry, MIT (1991–1995), supervised by Nobel laureate R.R. Schrock Postdoctoral Fellow, UC–Berkeley (1996–1997), supervised by R.G. Bergman Advising and Grants: While no specific grants or advisee names are listed, his research group trains students in inorganic chemistry, catalysis, polymer chemistry, and computational methods. Industrial collaborations and patent development reflect applied research priorities. Labs/Teams: The Lavoie Lab at York University drives innovation in catalyst design and materials chemistry, emphasizing interdisciplinary approaches.

Wei Wangمشاهده پروفایل

استادیار

• Leadership
• Business Ethics
• Organizational Behavior
• +۳ مورد دیگر

Wei Wang is an Assistant Professor and The Associates Fellow in Leadership and Ethics at the Business Administration Department, Asper School of Business, University of Manitoba. His research focuses on leadership dynamics and ethics in the workplace, employing mixed-method approaches. He has been recognized with the 2019 Society of Business Ethics Emerging Scholar Award and the 2022 Anne Tsui Dare to Care Research Award for impactful work on employee well-being. His teaching expertise spans organizational behavior, negotiation, and business ethics. He leads the GLOW Lab, advancing research in leadership and ethical workplace practices. Key research interests include ethical leadership, workplace mistreatment, and the behavioral consequences of deviant coworker behaviors. His work has been published in leading journals such as Journal of Applied Psychology and Journal of Management . Beyond academia, he enjoys outdoor activities, running, and travel. Awards include the 2019 Emerging Scholar Award for contributions to business ethics and the 2022 Dare to Care Award for research prioritizing employee welfare. His lab, the GLOW Lab, drives innovative studies in leadership and ethical organizational practices.

Elif Acarمشاهده پروفایل

دانشیار

• High-dimensional dependence
• Statistical genetics
• Nonparametric estimation
• +۴ مورد دیگر

Dr. Elif Acar is an Associate Professor in the Department of Statistics at the University of Guelph. Her research focuses on high-dimensional data analysis, multivariate modeling strategies, and meta-analysis in biomedical applications. She holds a PhD in Statistics from the University of Toronto (2010), an MSc in Mathematics from the University of New Hampshire (2006), and a BSc in Statistics from Middle East Technical University (2003). Her research themes include high-dimensional dependence modeling and research synthesis in high-throughput studies, with applications in genome-wide association studies, microbiome research, and phenotyping experiments. She emphasizes methodological developments in handling complex data structures such as longitudinal and incomplete datasets. Dr. Acar has received multiple awards including the MATRIX-Simons Travel Award (2024) and NSERC Discovery Grants (2020–2027). Her recent publications span copula-based models, longitudinal data analysis, and interdisciplinary applications in genetics and neuroscience. She mentors postdoctoral fellows and accepts PhD/MSc students interested in her research areas. Current grants include NSERC funding for statistical method development and collaborative research initiatives.

• Geometric Mechanics
• Differential Geometry
• Numerical Analysis
• +۳ مورد دیگر

George Patrick is an academic with a focus on geometric mechanics, differential geometry, and numerical analysis. He served as an Instructor from 2010 to 2020, teaching advanced mathematics courses including Calculus II-IV, Differential Equations, and Differential Geometry. His research emphasizes theoretical and computational aspects of dynamical systems, nonholonomic mechanics, and variational integrators. He developed CPOLYCC, a C++ library for multiprecision characteristic polynomial calculations, addressing precision challenges in numerical linear algebra. Research Interests: Geometric Mechanics, Hamiltonian Systems, Numerical Stability Analysis, Nonholonomic Dynamics, Variational Principles, and Computational Geometry. Publications: Over 15 key articles spanning 1985–2023, including foundational work on variational integrators, nonholonomic systems, and stability analysis of relative equilibria. His work bridges pure mathematics and computational methods, with applications in robotics, fluid dynamics, and dynamical systems. The CPOLYCC library demonstrates his focus on precision-critical numerical algorithms, addressing challenges in high-dimensional matrix computations.

Jennifer Fisherمشاهده پروفایل

استاد

• Contemporary Art
• Curatorial Studies
• Exhibition Practices
• +۴ مورد دیگر

Jennifer Fisher is a Professor in the Department of Visual Art and Art History at York University's School of the Arts, Media, Performance & Design (AMPD). She holds a BFA from NSCAD University, and MA and PhD degrees from Concordia University. Her academic work integrates curatorial practice with research in contemporary art, sensory aesthetics, and feminist theory. Research Focus Fisher's research explores interdisciplinary intersections including: Exhibition studies and archival reinterpretation Affect theory and non-visual sensory aesthetics Feminist performance and display practices Curatorial methodologies and artist archives Professional Recognition Contemporary Art Fellow at the National Gallery of Canada Research affiliations at Cornell University and NYU Tisch School of the Arts Co-founder of the Journal of Curatorial Studies Founding member of DisplayCult curatorial collective Notable Projects Fisher co-curated 'Archives by Artists' (2024) at the Archives of Ontario, featuring 18 international artists who reconceptualize archival practice through interactive multiples. The exhibition engaged AMPD students in hands-on curation and will travel to Québec in 2025. Her work frequently integrates academic research with public-facing curation.

• Human-Computer Interaction
• Communication and Information Technologies
• Healthcare Quality
• +۶ مورد دیگر

Farid Al Zoubi is a Research Fellow at the School of Electrical Engineering and Computer Science, affiliated with the METRICS Lab. He holds a PhD in Electrical Engineering and Computer Science from the same institution (2020–2024), under the supervision of Dr. Pascal Fallavollita. His research focuses on integrating artificial intelligence, machine learning, and prescriptive analytics to optimize healthcare delivery systems, particularly in high-volume surgical environments like operating rooms. His work emphasizes improving surgical team efficiency, reducing delays in arthroplasty procedures, and enhancing healthcare quality through data-driven decision-making frameworks. Key research interests include Human-Computer Interaction, Communication Technologies, Healthcare Analytics, and the application of AI/ML in surgical workflows. He has published in journals such as Frontiers in Digital Health , Canadian Journal of Surgery , and International Orthopaedics , addressing topics like AI-driven prescriptive models, surgical workflow optimization, and team coordination in healthcare settings. Al Zoubi’s research bridges engineering and medicine, aiming to transform healthcare operations through innovative analytical systems. His current work explores real-world deployment of AI recommendations in orthopedic surgery and the use of multidisciplinary strategies to improve surgical efficiency. He is based in Ottawa, Canada, and collaborates with interdisciplinary teams to advance healthcare technology. Future directions include expanding AI applications in prescriptive analytics for healthcare systems, developing benchmarking tools for surgical teams, and advancing machine learning models tailored to healthcare operational challenges.

Sukanta Bhowmickمشاهده پروفایل

پژوهشگر

• Tribology
• Materials Science
• Mechanical Engineering
• +۳ مورد دیگر

Sukanta Bhowmick is associated with the University of Windsor and affiliated with the College of Engineering . His research focuses on tribology , materials science , and surface engineering , particularly in the context of coatings technology and mechanical behavior of alloys . Peer Review Contributions to journals like Lubricants and Coatings Active in experimental and computational tribology since 2007 His recent publications highlight advancements in plasma electrolytic oxidation (PEO) , diamond-like carbon (DLC) coatings , and graphene-enhanced lubricants , addressing friction, wear, and machining efficiency in aluminum , magnesium , and titanium alloys . These works span high-temperature testing , nanoscale analysis , and industrial process optimization .

• Control Theory
• Artificial Intelligence
• Robotics
• +۵ مورد دیگر

Meysar Zeinali-Ghayeshghorshagh is an Associate Professor at Laurentian University's Bharti School of Engineering & Computat. He holds a BSc in Mechanical Engineering from the University of Tehran, an MSc in Aerospace Engineering from Sharif University of Technology, and a PhD in Mechanical/Mechatronics Engineering from Queen's University. He completed postdoctoral research at the University of Waterloo and is a licensed Professional Engineer in Ontario. His research focuses on AI-based control systems , robotics , and adaptive control methodologies . Key areas include: Adaptive sliding mode control for robotic systems Deep learning and neural network applications in control systems Human-robot interaction and object recognition Laser additive manufacturing process control High-performance hydraulic systems design Publication analysis shows consistent focus on robotics control , adaptive systems , and AI applications in engineering , with recent work emphasizing deep learning integration with traditional control methods. Achievements include: Best Paper Competition Finalist at iFUZZY 2017 Top 25 most read article in Journal of Mechanism and Machine Theory (2009-2010) He currently supervises graduate students and collaborates with the Automated Laser Fabrication research group at the University of Waterloo.

Nelaine Mora-Diezمشاهده پروفایل

استاد

• Computational Chemistry
• Biochemical Kinetics
• Antioxidant Activity
• +۶ مورد دیگر

Dr. Nelaine Mora-Diez is a Professor of Chemistry at Thompson Rivers University (TRU), Kamloops, BC, Canada. She holds a Ph.D. in Chemistry from Dalhousie University and a B.Sc. (First-Class Honors) in Chemistry from the University of Havana. Her academic career at TRU spans over two decades, progressing from Assistant Professor (2003–2010) to Associate Professor (2010–2014) and Professor (since 2014). She also held an Adjunct Professor position at the University of Victoria (2006–2015). Her research focuses on computational chemistry, including antioxidant activity, biochemical kinetics, deuterium isotope effects, and environmental chemistry. She has secured significant funding through NSERC Discovery Grants, TRU internal grants, and international collaborations. Notable recognitions include the Anderson Award for Excellence in Chemical Research (2019) and the Mourou/Strickland Mobility Program (2020). Mora-Diez has advised numerous students, mentoring them in research areas such as protein radical repair, cannabinoid chemistry, and metalloantioxidant mechanisms. Her work has been showcased in over 30 peer-reviewed publications and international conferences. She also contributes to academic service, including roles in TRU’s Research Training Recognition Fund and undergraduate research programs. Her lab at TRU utilizes high-performance computing resources like the Francis cluster, supported by IT Services and the Digital Research Alliance of Canada. Collaborations span institutions in Spain, France, Mexico, and beyond, reflecting her global impact in computational and theoretical chemistry.

Steven Weijsمشاهده پروفایل

دانشیار

• Water Resources Management
• Mountain Hydrology
• Catchment Hydrology
• +۴ مورد دیگر

Dr. Steven Weijs is an Associate Professor and Associate Head (Graduate Programs) in the Department of Civil Engineering at the University of British Columbia (UBC), part of the Faculty of Applied Science. He leads research in water resources management, hydrology, and information theory applications in environmental systems. His work explores optimizing information flows from observations to decision-making in complex water systems. Education: PhD (2011) and M.Sc. (2004) in Water Resources Management from TU Delft, Netherlands. Postdoctoral Research: AXA Research Fund fellowship (2011–2013) at EPFL, Switzerland, followed by roles in environmental fluid mechanics and cryospheric science groups. Research Interests: Mountain hydrology, catchment dynamics, flood forecasting, uncertainty quantification, and information theory-based monitoring strategies. He teaches CIVL 418 Engineering Hydrology and contributes to UBC’s Master of Engineering Leadership in Integrated Water Management. Publications focus on sensor networks, data-driven hydrology, flood analysis, and environmental decision-making. Notable work includes novel methods for streamflow prediction in ungauged basins and optimal monitoring network design. Awards: Leading Scholar (Green College, 2016–2018), AXA Research Fund Postdoctoral Fellowship. He collaborates on projects like WeSenseIt, a citizen observatory initiative, and develops low-cost sensing technologies for hydrological monitoring. His research bridges theoretical frameworks with practical applications in water resource management.

Nana Ofori-Opokuمشاهده پروفایل

استادیار

• Materials Modelling
• Microstructure Evolution
• Phase-Field Methods
• +۵ مورد دیگر

Nana Ofori-Opoku is an Assistant Professor in the Department of Materials Science and Engineering at McMaster University's Faculty of Engineering. His research focuses on understanding and predicting microstructure evolution in materials processes and its consequences on material behavior, combining experimental observations with high-performance computing, mathematical modeling, and non-equilibrium thermodynamics. His educational background is entirely from McMaster University: Bachelor of Engineering (B.Eng.) Master of Applied Science (M.A.Sc.) Doctor of Philosophy (Ph.D.) Dr. Ofori-Opoku's research interests encompass computational materials science with primary emphasis on phase-field modeling of microstructure evolution. Key applications include solidification processes in additive manufacturing, precipitation reactions, and nuclear materials behavior. He actively integrates machine learning techniques into materials research, as reflected in his specialized course offerings. His work bridges disciplines including materials modeling, non-equilibrium thermodynamics, and data analytics for advanced materials design. He leads the Ofori-Opoku Lab, branded as The Advanced Centre for Serious Research, which drives innovation in computational and experimental materials engineering. His scientific recognition includes: NIST-MGI Fellowship (2015-2017) Dr. Ofori-Opoku teaches core courses including Thermodynamics of Alloys and Phase Designs (MATLS 2D03), Fundamentals of Transport Phenomena in Materials Engineering (MATLS 3TP4), and Applications of Machine Learning to Materials and Chemical Engineering (MATLS 4ML3), demonstrating his commitment to integrating cutting-edge research into pedagogy.

• Mathematical Modeling of Electrochemical Systems
• Battery Technology
• Computational Fluid Dynamics
• +۷ مورد دیگر

Jamie Foster McMaster is an Adjunct Associate Professor in the Department of Mathematics and Statistics at McMaster University. His scholarly activity integrates mathematical modeling, computational physics, and interdisciplinary applications in energy storage, biomedical engineering, and astrophysical phenomena. He has collaborated extensively on studies related to lithium-ion battery optimization, perovskite solar cells, and respiratory disease research. Key Research Areas: Mathematical modeling of electrochemical systems, computational fluid dynamics, astrophysical jets, and biomedical applications. Notable Contributions: Development of fast solvers for battery models, studies on adherence behavior in asthma patients, and experimental-validation frameworks for energy materials. Recent Publications: Focused on lithium-ion battery degradation, espresso brewing dynamics, and perovskite solar cell performance optimization. While no explicit awards or student advisement information is available in the provided data, his extensive publication record across diverse fields highlights his interdisciplinary expertise. His work bridges theoretical mathematics with practical applications in renewable energy and healthcare diagnostics.

William Richard Peltierمشاهده پروفایل

استاد

• Atmospheric Physics
• Climate Science
• Geophysical Fluid Dynamics
• +۵ مورد دیگر

William Richard Peltier is a Professor in the Department of Physics at the University of Toronto, where he directs the Centre for Global Change Science and serves as Scientific Director of the SciNet High-Performance Computing facility. His research spans atmospheric physics, climate science, geophysical fluid dynamics, and paleoclimate reconstruction, with a focus on glacial isostatic adjustment and Earth system modeling. Education: B.Sc. in Physics (University of British Columbia, 1967), M.Sc. in Physics (University of Toronto, 1969), Ph.D. in Physics (University of Toronto, 1971). Dissertation: Thermal Stability of non-Boussinesq Configurations under Professor C.O. Hines. Research Focus: Peltier's work integrates geophysical fluid dynamics, mantle convection theory, and climate system evolution. Key areas include: 1) Atmospheric/oceanic turbulence and wave dynamics; 2) Glacial isostatic adjustment (GIA) modeling (e.g., ICE-6G/ICE-7G frameworks); 3) Snowball Earth climate bifurcations; and 4) Abyssal ocean mixing processes. His models reconcile space-geodetic data with paleoclimate proxies to constrain mantle viscosity and ice-age terminal deglaciation. Publication Trends (2016-2017): Recent articles emphasize glacial isostatic adjustment validation, turbulent mixing efficiency in oceans, Neoproterozoic climate thresholds, and Holocene sea-level change. Methodologies combine high-resolution GCMs, geodetic observations (GPS/tide gauges), and theoretical fluid dynamics to address climate stability and cryosphere-ocean interactions. Awards & Honors: Vetlesen Prize (2004) for geophysical research Milutin Milankovic Medal (2008) CAP Gold Medal for Physics (2009) Fellow of Royal Society of Canada, AGU, and AMS 25+ major awards including Guggenheim Fellowship and Bancroft Award Leadership: Principal Investigator of the CFCAS Polar Climate Stability Network; Associate Editor of Geophysical and Astrophysical Fluid Dynamics ; Developed foundational GIA models (ICE-5G/6G/7G) used globally for sea-level projections.