جستجوی استاد راهنمای دانشگاهی

• Timber Engineering
• Structural Engineering
• Engineered Wood Products
• +۴ مورد دیگر

Dr. Ying Hei Chui is a Professor in the Department of Civil and Environmental Engineering at the University of Alberta's Faculty of Engineering. He serves as the NSERC Industrial Research Chair in Engineered Wood and Building Systems and Director of the Nasseri School of Building Science and Engineering. Previously, he held academic positions at the University of New Brunswick (1993–2016), including roles as Professor and New Brunswick Innovation Research Chair. Education: Ph.D. in Timber Engineering (University of Brighton, UK, 1987) B.Sc. in Civil Engineering (Southampton University, UK, 1976) Research Interests: Dr. Chui specializes in timber engineering, structural dynamics, engineered wood products, and sustainable building systems. His work focuses on hybrid timber-steel structures, timber connections, nondestructive evaluation, and timber-concrete composites. He actively contributes to building codes (National Building Code of Canada, ASTM, ISO) and promotes innovations in wood-based construction. Publication Trends: Recent articles (2020–2021) emphasize experimental and analytical studies on mass timber composites, CLT structural behavior, and connections. Dominant themes include sustainability in timber-concrete systems, mechanical performance of fasteners, and nondestructive monitoring techniques for timber infrastructure. Awards & Honors: Fellow, Canadian Academy of Engineering Fellow, International Academy of Wood Science L.J. Markwardt Wood Engineering Award (2020) Supervision & Leadership: Dr. Chui has supervised 15+ graduate students (e.g., H. Daneshvar, J. Niederwestberg) and led the NSERC Strategic Research Network NEWBuildS (2010–2015), uniting 23 professors across 13 Canadian universities. He directs research on engineered wood applications in seismic-resistant and sustainable building systems.

• Human-centered building design and operation
• Urban sustainability and resilience
• Energy efficiency and sufficiency
• +۴ مورد دیگر

Elie Azar is a Professor in the Department of Civil and Environmental Engineering at Carleton University, Ottawa, actively teaching courses including Introduction to Building Performance Simulation (ACSE 3201) and Research Methods in Building Engineering (BLDG 5103) for the 2025-2026 academic year, alongside previous instruction in Green Building Design and Engineering Economics. Education: B.Eng. from Polytechnique Montréal MSc. and Ph.D. from University of Wisconsin-Madison Research Interests: Human-centered building design and operation Urban sustainability and resilience Energy efficiency and sufficiency Occupant comfort and behaviour modeling Building performance simulation techniques Agent-based modeling for urban systems Data-driven machine learning applications His publication trends (2023-2025) reveal consistent use of agent-based modeling and machine learning surrogates to address building energy retrofits, urban energy communities, and occupant behavior challenges. Key focus areas include Gulf region carbon neutrality, energy poverty disparities in Canada, and resilience during heat waves/power outages. Scientific Awards: No awards listed in provided information Advising and Grants: While specific students and grants aren't detailed in the text, Azar's extensive publication record on occupant behavior databases and international collaborations (e.g., UAE, Kuwait, Switzerland) indicates active research leadership. His work on the Scales Project and Eastern Mediterranean/Middle East Climate Change Initiative demonstrates cross-border team coordination. Labs and Teams: Though no dedicated laboratory is mentioned, his publications on immersive virtual environments and multi-domain studies suggest involvement in computational research groups focused on building-human interaction modeling.

Artur Izmaylovمشاهده پروفایل

استاد

• Quantum Dynamics
• Theoretical Chemistry
• Quantum Computing
• +۵ مورد دیگر

Artur Izmaylov is a Professor of Theoretical Chemistry at the University of Toronto with dual departmental appointments: the Department of Chemistry at the St. George campus and the Department of Physical and Environmental Sciences at the University of Toronto Scarborough (UTSC). He leads the Izmaylov Research Group and is affiliated with the Center for Quantum Information and Quantum Control. His offices are located at EV356 (UTSC) and LM420C (St. George), and he can be contacted at artur.izmaylov@utoronto.ca or via phone at 416-208-2951 (UTSC) / 416-946-8405 (St. George). Professor Izmaylov's research develops novel theoretical and computational approaches to quantum dynamics in complex systems. Key focus areas include: Quantum processes in organic photovoltaics, biomolecules, and catalytic surfaces Hybrid quantum-classical methodologies for subsystem-environment interactions Renormalization techniques for efficient quantum dynamics simulations Quantum computing applications for chemical problems and electronic structure Nonadiabatic dynamics near conical intersections and spin-charge transfer His recent publications (2023-2025) demonstrate strong emphasis on quantum algorithm development for chemical applications, particularly: Advancements in variational quantum eigensolver (VQE) methodologies Quantum resource optimization and error mitigation strategies Novel Hamiltonian decomposition techniques for efficient simulation Applications in molecular vibrations, electronic structure, and materials science Hybrid quantum-classical approaches for scalable computations The Izmaylov Research Group actively recruits graduate students and postdoctoral researchers, with opportunities through NSERC USRA, CQIQC, CHMD90/91, CHM499Y/PHY479Y courses, and Mitacs Globalink programs. Current research directions emphasize quantum computing implementations for chemical dynamics and surface interactions.

James Hugh McVittieمشاهده پروفایل

استادیار

• Survival Analysis
• Biostatistics
• Statistical Inference
• +۲ مورد دیگر

James Hugh McVittie serves as an Assistant Professor in the Department of Mathematics and Statistics within the Faculty of Science at the University of Regina. His academic profile features active research engagement with contact details including email (james.mcvittie@uregina.ca) and office phone (306-585-5080), though no courses are scheduled for Spring/Summer 2025. McVittie's research program centers on Survival Analysis and Biostatistics, with specialized expertise in Statistical Inference for Combined Cohort Methodologies and Measurement Error. His methodological work addresses partially observed data structures, particularly focusing on right-censored and length-biased failure time data. Applications span health studies (including Parkinson's disease research using the Canadian Longitudinal Study on Aging) and modeling sports career durations, demonstrating translational impact across medical and social domains. Analysis of his 2022-2025 publications reveals three dominant research thrusts: (1) Advanced survival modeling for combined cohort data (incident/prevalent cohorts), (2) Bayesian nonparametric estimation techniques for censored data, and (3) Extreme value theory applications in environmental statistics with missing observations. His work consistently addresses methodological gaps in sample size determination, hazard modeling, and survival function estimation under complex data constraints. Scientific Awards No scientific awards were documented in the provided sources Advising and grant activities remain unreported in the available materials, with no mention of student supervision or funded research projects. Laboratory infrastructure and research team compositions were not specified in the institutional profiles or publication records.

Lisa Cranleyمشاهده پروفایل

دانشیار

• Gerontology
• Nursing
• Healthcare Quality Improvement
• +۳ مورد دیگر

Dr. Lisa Cranley is an Associate Professor at the Lawrence Bloomberg Faculty of Nursing, University of Toronto. She holds a cross-appointment with the Factor-Inwentash Faculty of Social Work and the Institute for Life Course & Aging at the University of Toronto, as well as an Assistant Adjunct Professor role at the University of Alberta's Faculty of Nursing. Her research focuses on improving healthcare delivery quality for older adults in long-term care, workforce capacity development, and patient/family engagement in care planning using mixed methods. Her work is funded by CIHR and SSHRC. Education: Post-Doctoral Fellow, Knowledge Utilization Studies Program, University of Alberta (2012) PhD in Nursing, University of Toronto (2009) MN, University of Toronto (2003) BScN, University of Ottawa (1997) Diploma in Nursing, Conestoga College (1994) Research Interests: Her work addresses long-term care workforce development, patient-centered care in aging populations, and implementation science. She advocates for meaningful engagement of older adults and families in care decisions while exploring innovations like virtual reality in nursing education. Recent Article Trends: Recent publications focus on leadership roles in long-term care, pandemic-driven innovations, nursing students' self-efficacy in geriatric care, and ethical challenges in medical assistance in dying (MAiD). These studies highlight systemic improvements and educational strategies to enhance care quality. Grants & Collaborations: Supported by major grants from CIHR and SSHRC, her projects include initiatives like the SCOPE study for safer care environments and interdisciplinary collaborations to improve resident outcomes. She also leads studies on interprofessional teamwork in long-term care settings. Labs & Teams: Active in the SCOPE (Safer Care for Older Persons) initiative and collaborates with multidisciplinary teams to translate research into practice, including projects on healthcare aide decision-making and policy impact analysis.

Cynthia Richardمشاهده پروفایل

دانشیار

• Pharmacology
• Medical Education
• Healthcare Professional Development
• +۳ مورد دیگر

Cynthia Richard is an Associate Professor (Teaching Stream) in the Faculty of Science at the University of Waterloo, serving as Associate Director of Curriculum and Assistant Dean for Undergraduate Policy. Her expertise spans pharmacology, nutrition, and natural health products, with a focus on innovative educational strategies in pharmacy and healthcare training. She holds leadership roles in curriculum design, interprofessional education, and student well-being initiatives. Dr. Richard’s research emphasizes medical education methodologies, including experiential learning, virtual clinical assessments, and burnout mitigation strategies for healthcare students. She has pioneered activities like 'Check-In' to address mental health in pharmacy education and designed interprofessional programs such as 'RnRx' for palliative care training. Her work bridges clinical practice and education, addressing both professional development and student support systems. Her scholarship spans oncology research, investigating chemotherapeutic mechanisms and cancer cell migration pathways, alongside foundational studies on malnutrition immunology and vitamin D receptor signaling in leukemia. While her recent focus leans toward educational innovation, her earlier work contributed to understanding cancer biology and drug interactions. Dr. Richard’s contributions extend to peer review systems in teaching evaluation and professionalism assessment in pharmacy curricula. She actively shapes undergraduate policy within the Faculty of Science, ensuring alignment between academic standards and evolving healthcare needs. Despite no explicitly listed awards, her role in institutional leadership underscores her impactful contributions to academic governance and curriculum development.

• Polymer Science
• Chemical Engineering
• Polymer Reaction Engineering
• +۹ مورد دیگر

Alex Penlidis is a Professor of Chemical Engineering at the University of Waterloo, where he has held a Tier 1 Canada Research Chair in Engineering of Polymers with Tailor-Made Properties (2002–2016). He has served as founding co-editor of the Polymer Reaction Engineering Journal , and previously as Associate Director and Director of the Institute for Polymer Research (1991–2010). His roles include Associate Dean of Research and Graduate Studies (1998–2004), and extensive committee service across the university since 1986. Education: PhD in Chemical Engineering from McMaster University (1986), and a Diploma of Engineering from Aristotle University of Thessaloniki (1980). His research focuses on advancing polymer science and engineering, particularly in polymeric materials for health, biological applications, sensors, photonics, and civil infrastructure. He also explores polymerization kinetics, reactor modeling, and viscoelastic material behavior. Research interests emphasize interdisciplinary innovation, including tailoring polymer properties for enhanced oil recovery, sensor array design, and optimizing polymer production processes. His work integrates computational modeling, experimental polymerization studies, and industrial collaboration. Scientific awards include the 1993 CSChE Albright & Wilson Americas Award, 2002 Fellow of the Canadian Academy of Engineering, and multiple university awards for teaching, research, and supervision. He has attracted over $18M in grants, supervised 33 PhD students, and contributed to 160 undergraduate design projects and 53 MASc graduates. His advising and grants highlight sustained mentorship and industrial partnerships. Research funding supports projects like UV-induced polypropylene modification, copolymerization reactivity ratio estimation, and nonlinear viscoelastic modeling. Labs and teams include leadership roles at the Institute for Polymer Research and collaborations with industry through short courses and patents. His 2013 patent on polypropylene strain hardening via UV irradiation exemplifies applied research成果转化.

Monica R Malyمشاهده پروفایل

استاد

• Clinical Biomechanics
• Osteoarthritis
• Musculoskeletal Health
• +۴ مورد دیگر

Monica R Maly is a Professor at the University of Waterloo's Faculty of Applied Health Sciences, Department of Kinesiology. She leads the Mobilize Clinical Biomechanics Lab, focusing on musculoskeletal health, particularly knee osteoarthritis and rehabilitation strategies. Her research integrates biomechanical analyses, imaging techniques, and clinical outcomes to improve patient care. Key research areas include the biomechanical and physiological factors influencing osteoarthritis progression, the role of exercise interventions, and the development of soft robotic devices for joint unloading. Recent work emphasizes pain management in marginalized groups, systemic inflammation interactions, and imaging validation for soft tissue composition. Publications highlight trends in resistance exercise efficacy, sex-based differences in muscle strength, and the predictive power of biomarkers for cartilage change. Her systematic reviews address optimal exercise parameters for osteoarthritis and the non-linearity of intervention effects. Ongoing projects include clinical trials of yoga-based strengthening programs and biomechanical modeling for joint loading analysis. Lab Affiliation: Mobilize Clinical Biomechanics Lab Funding: Focuses on NIH-funded projects related to osteoarthritis biomechanics and rehabilitation engineering

Derek Wrightمشاهده پروفایل

دانشیار

• Digital ICs
• Neuromorphic hardware
• VLSI
• +۴ مورد دیگر

Derek Wright is an Associate Professor in the Department of Electrical and Computer Engineering at the University of Waterloo, serving as Director of Mechatronics Engineering and faculty advisor for the Waterloo Aerial Robotics Group. His research focuses on Digital ICs (especially neuromorphic hardware and spiking neural networks), Medical Imaging Physics, and Multidomain Modeling & Simulation, with an emphasis on commercialization. He holds a Doctorate in Electrical and Biomedical Engineering from the University of Toronto (2010) and degrees from the University of Waterloo (MASc 2005, BASc 2003). Education: PhD, Electrical & Biomedical Engineering, University of Toronto (2010) MASc, Electrical Engineering, University of Waterloo (2005) BASc, Electrical Engineering, University of Waterloo (2003) Research interests include neuromorphic hardware design, VLSI innovation, and multidisciplinary simulation techniques. His work bridges theoretical advancements with practical applications in electronics and biomedical systems. Notable contributions include low-power flip-flop designs, SRAM dosimeters for radiation characterization, and mechatronics modeling. His teaching portfolio includes courses like ECE 140 (Linear Circuits), MTE 481/482 (Mechatronics Projects), and PD19 (Workplace Success Tactics). He has received the 2017 Faculty of Engineering Teaching Award for his pedagogical innovations in engineering education. Dr. Wright advises the Waterloo Aerial Robotics Group and oversees the Mechatronics Engineering program. He actively engages in curriculum development and student-driven projects, emphasizing hands-on learning through hackathons and design competitions.

• Process Control
• Chemical Engineering
• Biotechnology
• +۵ مورد دیگر

Hector Budman is a Professor in the Department of Chemical Engineering at the University of Waterloo. His research focuses on advanced process control methodologies, including robust control theory, model predictive control, and inferential control techniques applied to chemical and biotechnological systems. He leads interdisciplinary projects in pharmaceuticals, water treatment, and bioreactor optimization. Education: Doctorate in Mechanical Engineering (1987), Technion - Israel Institute of Technology Master's in Mechanical Engineering (1983), Technion - Israel Institute of Technology Bachelor's in Mechanical Engineering (1979), Technion - Israel Institute of Technology Research interests emphasize modeling and control of nonlinear processes, metabolic flux analysis, and fault detection in bioprocesses. He has authored/co-authored over 150 journal publications and co-authored the book Periodic Operations of Chemical Reactors . Recent work explores AI-driven fault detection and hybrid models integrating deep learning with traditional control systems. Teaching responsibilities include CHE 522/624 (Advanced Process Dynamics and Control), CHE 341/420 (Introduction to Process Control), and CHE 524 (Process Control Laboratory). He actively advises graduate students in chemical engineering and process systems engineering.

Eric Croisetمشاهده پروفایل

استاد

• Renewable Energy
• Catalysis
• Environmental Engineering
• +۳ مورد دیگر

Eric Croiset is a Professor in the Department of Chemical Engineering at the University of Waterloo, specializing in sustainable energy systems, electrochemical processes, and advanced materials. His research focuses on CO2 capture and utilization, solid oxide electrolysis, catalytic materials, and renewable energy technologies. He has pioneered innovations in direct air capture systems, methane cracking for hydrogen production, and the design of high-performance electrochemical cells. Dr. Croiset’s work integrates experimental and computational methods, including kinetic modeling and multi-scale simulations. He has contributed significantly to improving the efficiency of energy conversion systems through advanced catalytic systems and reactor designs. His recent projects emphasize scaling up carbon-neutral chemical production processes and developing next-generation materials for environmental applications. In education, he advocates for immersive learning experiences using virtual reality (VR) and simulation-based tools to enhance chemical engineering education. His research has led to over 50 peer-reviewed articles, with a focus on advancing clean energy technologies and sustainable manufacturing processes.

Rodrigo Costaمشاهده پروفایل

استادیار

• Disaster Risk Management
• Community Systems
• Resilience Planning
• +۴ مورد دیگر

Rodrigo Costa is an Assistant Professor at the University of Waterloo, specializing in disaster risk management and community resilience. His research focuses on post-disaster housing recovery, economic impacts of disasters, and agent-based modeling of recovery processes. He explores financing mechanisms, infrastructure vulnerability, and social equity in recovery contexts. His work bridges engineering, economics, and social sciences to address challenges in urban disaster resilience. Key themes include repeated flooding risks, multi-regional economic recovery simulations, and the integration of place attachment in recovery models. He advocates for open science practices to enhance reproducibility in disaster research. Recent studies analyze housing recovery disparities post-earthquakes and wildfires, refine input-output economic models for disaster impacts, and evaluate policy instruments like presidential disaster declarations. His research emphasizes practical applications for policy design and community preparedness.

• Sustainable Architecture
• Renewable Energy Systems
• Thermal Engineering
• +۳ مورد دیگر

Mohamad Araji is an Associate Professor of Architecture at the University of Waterloo. He is cross-appointed into the Department of Electrical and Computer Engineering (ECE), reflecting his interdisciplinary research focus. His primary location is CPH 3611D. His work bridges architecture with advanced technologies, emphasizing sustainable design, energy efficiency, and computational methods. Research interests include renewable energy integration in building systems, thermal comfort optimization, AI-driven monitoring of building envelopes, and bioenergy generation through microalgae-based façades. He explores novel algorithms (e.g., AI-genetic, deep learning) to address challenges in urban energy systems, solar module efficiency, and smart building automation. His projects often involve experimental validation and computational modeling, such as using UAV-based thermography for heat loss detection. Recent studies focus on net-zero urban clusters, phase change materials for thermal management, and optimizing microalgae growth in bioreactors integrated into building designs. His methodologies span non-linear optimization, thermal modeling, and materials science to achieve sustainable architectural solutions. Despite prolific research output, no scientific awards are explicitly mentioned in the provided texts. His cross-appointments suggest collaboration with interdisciplinary teams in engineering and computer science. No student advisees or grants are listed, though his work likely involves collaborative projects and institutional support.

Gordon Savageمشاهده پروفایل

استاد

• Systems Theory
• Reliability Engineering
• Quality Design
• +۹ مورد دیگر

Gordon Savage is a Professor in the Department of Systems Design Engineering at the University of Waterloo. He holds a PhD, MASc, and BASc from the University of Waterloo, completing his doctorate in 1976. His research focuses on systems theory applications to continuum problems, reliability engineering, and quality design methodologies for complex systems. Doctorate (PhD): University of Waterloo, 1976 Master's (MASc): University of Waterloo, 1970 Bachelor's (BASc): University of Waterloo, 1968 Research interests include non-linear media modeling, coupled fields, probabilistic boundary conditions, and optimization methods. He develops unified frameworks for multi-disciplinary systems design that integrate safety and quality objectives using advanced probability theories. Recent work emphasizes reliability-based robust design optimization and hybrid approaches combining Six Sigma with second-moment analysis. Selected publications (2015-2016) address reliability analysis of mechanical systems, frequency-domain performance metrics, and stochastic optimization under uncertainty. These contributions advance methodologies for quantifying system performance in uncertain environments. Professor Savage currently supervises graduate students and teaches courses like SYDE 252 (Linear Systems), SYDE 351 (Systems Models), and SYDE 661 (Model-Based Robust Design).

Elliot Creagerمشاهده پروفایل

استادیار

• Machine Learning
• Artificial Intelligence
• Algorithmic Fairness
• +۳ مورد دیگر

Elliot Creager is an Assistant Professor at the University of Waterloo's Faculty of Engineering , Department of Electrical and Computer Engineering. He directs the Socially Embedded Machine Intelligence (SEMI) Lab , focusing on reliable and equitable AI systems that prioritize user data autonomy. His interdisciplinary research bridges technical machine learning with sociology and policy implications, and he actively mentors students across multiple institutions (University of Toronto, York University, Vector Institute). Recent research trends include algorithmic fairness in sequential decision-making, differential privacy applications, and LLM auditing frameworks . Collaborative projects span institutions like University of Toronto, York University, and Vector Institute. His work addresses fluid simulation generalization , invariant learning , and collective action algorithms . Scientific achievements include a CIFAR AI Catalyst Grant (2024) and recognition as NeurIPS 2022 Top Reviewer . As an active Area Chair for ICML 2025 and NeurIPS 2025, he contributes to advancing equitable AI standards. Current advisees include MASc and postdoc researchers, with former students from undergraduate programs.