جست‌وجوی استاد و پژوهشگر

• Environmental Thermo-Fluid Dynamics
• Air Quality
• Thermal Comfort
• +۷ مورد دیگر

Amir A. Aliabadi is an Associate Professor of Environmental Engineering at the University of Guelph. His research focuses on environmental thermo-fluid dynamics, air quality, and energy systems, with expertise in computational fluid dynamics (CFD), numerical weather prediction (NWP), and experimental thermo-fluids. He leads the Atmospheric Innovations Research (AIR) Laboratory, which integrates analytical, simulation, and experimental methods to address challenges in building energy efficiency, renewable energy integration, and urban microclimate modeling. Education: Ph.D. Mechanical Engineering, University of British Columbia (2008-2012) M.A.Sc. Mechanical Engineering, University of Toronto (2006-2008) B.A.Sc. Mechanical Engineering, University of Toronto (2001-2006) Research Interests: Optimizing HVAC systems using fuzzy logic and adaptive control Urban climate modeling and building energy retrofits Economics of green hydrogen and photovoltaic integration Natural ventilation strategies for energy savings CFD applications in environmental and industrial systems Recent work trends include interdisciplinary studies on building decarbonization economics, climate-responsive design, and novel photovoltaic configurations. His lab collaborates with industries to deploy smart building technologies and reduce greenhouse gas emissions. Labs/Teams: Atmospheric Innovations Research (AIR) Lab Current Projects: Smart thermostat development for energy-efficient building temperature regulation Climate zone-based retrofit optimization for Canadian buildings

Nicholas Watierمشاهده پروفایل

استاد

• Threat Perception
• Visual Psychophysics
• Face Perception
• +۳ مورد دیگر

Dr. Nicholas Watier is a faculty member at Brandon University's Department of Psychology, specializing in experimental psychology with focuses on threat perception, visual psychophysics, and face perception. He holds a Ph.D. in Psychology from the University of Ottawa (2012) and a BA (Hons) in Psychology from Laurentian University (2006). His research explores visual cues underlying threat appraisals, using experimental and computational methods. He teaches courses such as Fundamentals of Psychological Research, Advanced Statistics, and Perception, emphasizing the conjectural nature of knowledge. Key research areas include threat perception in media and art (e.g., horror posters, metal album covers), face identification, and cognitive mechanisms. He has received a Canadian Psychological Association award and government grants. His work integrates visual artifacts and experimental paradigms to uncover how humans infer danger from visual stimuli. Teaching responsibilities span undergraduate and advanced courses, with a focus on fostering critical thinking and statistical literacy. Collaborations include studies on holistic face processing, directed forgetting, and mindfulness effects on cognition. His lab integrates psychophysical and computational approaches to address perceptual and cognitive questions. Phone: (204) 727-9731 Office: Room 1-09, John R. Brodie Science Centre

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.

Brian Fristenskyمشاهده پروفایل

دانشیار

• Bioinformatics
• Plant Biotechnology
• Plant Genomics
• +۷ مورد دیگر

Brian Fristensky is an Associate Professor in the Department of Plant Science at the University of Manitoba, Faculty of Agricultural and Food Sciences. His research and teaching focus on plant biotechnology, bioinformatics, and plant genomics, particularly in the context of plant-microbe interactions and defense mechanisms. Institution: University of Manitoba School: Faculty of Agricultural and Food Sciences Department: Department of Plant Science Position: Associate Professor Office: 330 Agriculture Building, Fort Garry Campus Contact: 204-474-6852 / 204-474-6085; brian.fristensky@umanitoba.ca; frist@cc.umanitoba.ca Education A.B., Cornell University, 1980 Ph.D., Washington State University, 1987 Research Interests Dr. Fristensky's research centers on bioinformatics and plant biotechnology, with a strong emphasis on molecular biology of plant defense mechanisms. His work spans computational biology, genomics, and genetic engineering, particularly in developing tools for bioinformatics analysis and understanding plant responses to pathogens. He leads the Fristensky Lab, which develops the BIRCH bioinformatics system and BioLegato interface. Recent Research Trends His recent publications (2021–2023) show continued innovation in bioinformatics software development, including the BioLegato interface and educational tools for data science. Earlier work (1999–2006) focused on transgenic approaches to enhance disease resistance in canola using pea defense genes, and the functional analysis of PR10 proteins in stress tolerance. His research integrates computational and experimental biology, with applications in crop improvement and sustainable agriculture. Scientific Awards No awards explicitly mentioned in the provided texts. Advising and Grants Dr. Fristensky advises undergraduate and graduate students, offering opportunities for thesis work and summer research in his lab. He supports students in the Plant Biotechnology Program and teaches core courses in biotechnology, cytogenetics, and bioinformatics. He assists researchers in writing the bioinformatics components of grant proposals, indicating active grant-related mentoring and collaboration. Labs and Teams He leads the Fristensky Lab (Bio Information Technologies Laboratory), which develops the BIRCH (Biological Research Computer Hierarchy) system—a comprehensive desktop bioinformatics platform. The lab focuses on software tools for genome assembly, transcriptomics, systems biology, database management, and data pipelines. The BioLegato interface serves as a programmable GUI for launching and chaining bioinformatics programs. The lab also engages in training and collaborative research, particularly in biofuels and data science education.

Diane Wowkمشاهده پروفایل

دانشیار

• Finite Element Analysis
• Structural Engineering
• Impact Simulation
• +۳ مورد دیگر

Diane Wowk is an Associate Professor in the Department of Mechanical and Aerospace Engineering at the Royal Military College of Canada (RMC), where she has served since September 2008. Her expertise spans structural analysis, finite element methods, and nuclear fuel mechanics with a focus on practical aerospace and defense applications. Prior to RMC, she spent five years as an Engineering Analyst in industry. Her research interests emphasize design methodology using finite element analysis , simulation of impact events , fatigue and crack growth , and mechanical behavior of nuclear fuel bundles . She investigates structural integrity through advanced computational modeling, particularly in aerospace components and nuclear systems, with significant work on composite materials and high-rate deformation phenomena. Her scientific contributions include: Canadian Council of Professional Engineers - Manulife Financial Scholarship (2006) National Science and Engineering Research Council (PhD) funding (2004-2006) Canadian Urban Transportation Authority's Award for Technical Advancement (2001) Professor Wowk teaches core mechanical engineering courses including Finite Element Methods (MEE407), Stress Analysis (MEE431), and Advanced Finite Element Methods (ME547). She directs the Numerical Lab Mech Dome, utilizing ANSYS for finite element simulations. Her industry background informs practical research approaches, particularly in predicting residual strength in impact-damaged aerospace panels and nuclear fuel bundle deformation.

• Machine Learning
• Operations Research
• Supply Chain Management
• +۷ مورد دیگر

Hany Osman is an Associate Professor in the Master of Data Analytics program at the University of Niagara Falls Canada, holding a PhD in Industrial Engineering from Concordia University and a Professional Engineer (PEng) license in Ontario. His academic-industrial career bridges theoretical research with practical applications across multiple sectors. Dr. Osman's research spans three interconnected domains: Machine Learning & Data Analytics : Specializing in logical analysis of data, cost-sensitive learning, and ensemble techniques for industrial applications Operations Research : Developing nature-inspired metaheuristics (cuckoo search, ant colony optimization) for NP-hard problems in manufacturing and logistics Supply Chain Management : Focusing on sustainable optimization of lot sizing, production planning, and inventory control under stochastic conditions His recent publications (2023-2024) reveal a strategic pivot toward AI-integrated manufacturing systems, notably the CAPP-GPT framework for generative AI in process planning and emission-aware lot sizing models. This work demonstrates consistent translation of theoretical advances into industrial solutions for rail, oil, and smart manufacturing sectors. Professional credentials include: IBM Mastery Certificate in Predictive Data Analytics Professional Engineer (PEng) license from Ontario Dr. Osman leverages extensive industrial experience in supply chain logistics, oil industry optimization, and education technology to inform both research and teaching. His supervision in the Master of Data Analytics program emphasizes hands-on application of machine learning to real-world operational challenges, with students contributing to publications in Manufacturing Letters and related journals. While no formal lab is specified, his research group operates at the intersection of data science and industrial engineering, maintaining strong industry partnerships that drive applied projects.