جستجوی استاد راهنمای دانشگاهی

Hassan Qudrat-Ullahمشاهده پروفایل

استاد

• Sustainability
• Global/Climate Change
• System Dynamics
• +۳ مورد دیگر

Dr. Hassan Qudrat-Ullah is a Professor at the School of Administrative Studies, York University, and Coordinator of the Certificate in Logistics Management. He holds a PhD in Decision Sciences from NUS Business School and completed a post-doctoral fellowship at Carnegie Mellon University. His research focuses on dynamic decision making, system dynamics modeling, energy planning, and interactive learning environments. He teaches courses on quantitative methods, logistics, and decision analysis, informed by global industry experience across 20+ countries. Research interests include sustainability, climate change, systems thinking, and educational applications of decision sciences. He serves as Editor-in-Chief of the International Journal of Complexity in Applied Science and Technology and is a member of IEEE, DSI, and the International System Dynamics Society. His work has been published in Energy , Decision Support Systems , and others. Key projects include studies on 'structured-debriefing in dynamic decision making' and renewable energy policies in Africa. His recent articles (2023–2025) address AI integration in energy governance, system dynamics for supply chain resilience, and education for sustainability. Hassan advocates for systems thinking in K-12 education and enjoys traveling (visited 129 countries) and bird-watching.

Daniel Duttonمشاهده پروفایل

دانشیار

• Social Epidemiology
• Public Health Policy
• Health Economics
• +۳ مورد دیگر

Dr. Daniel Dutton is an Associate Professor in the Department of Community Health and Epidemiology at Dalhousie University's Faculty of Medicine, based at the Dalhousie Medicine New Brunswick campus in Saint John. His research focuses on how social environments influence health outcomes and the role of government policies in mitigating these impacts, particularly in areas like poverty, homelessness, and health economics. He holds adjunct roles at the University of New Brunswick (Sociology) and is the Scientific Director of APPTA, a hub bridging aging research and policy. He teaches courses in epidemiology, population health, and statistics. Education: PhD in Community Health Sciences (University of Calgary) MA in Economics (University of Calgary) BA Honours in Economics (Queen’s University) Research Interests: Dr. Dutton examines population-level health determinants, government policy effectiveness, and socioeconomic disparities. His work employs large datasets and econometric models to analyze topics such as homelessness incidence, healthcare cost savings through preventive measures, and the distributional impacts of public spending. Key Contributions: Scientific Director of the APPTA aging and technology hub. Co-founder of the IMPART research collaborative. Author of influential studies on Housing First programs, opioid prescribing patterns, and the fiscal benefits of guaranteed annual income policies. Advising & Grants: Supervises multiple MSc students and has collaborated on grants analyzing healthcare utilization in New Brunswick and Alberta. His work often intersects with policy-making, emphasizing actionable insights from quantitative research. Labs & Teams: Leads the Dutton Research Group, which uses mascot Odin the Saint Bernard to foster team cohesion. Active in interdisciplinary collaborations across public health, sociology, and economics.

David Landriaultمشاهده پروفایل

استاد

• Actuarial Science
• Quantitative Risk Management
• Applied Probability
• +۴ مورد دیگر

David Landriault is a Professor in the Department of Statistics and Actuarial Science at the University of Waterloo, Canada, and a Canada Research Chair in Risk Theory. His research focuses on Actuarial Science, Quantitative Risk Management, Applied Probability, and Stochastic Processes, particularly in ruin theory, drawdown analysis, and stochastic control for insurance and finance applications. Education: PhD in Mathematics (2005), MSc in Mathematics (2003), BSc in Actuarial Science (2002) from Laval University. Affiliations: University of Waterloo (postdoctoral fellowship, 2006); Canada Research Chair in Risk Theory. Research Interests Risk and Ruin Theory Stochastic Control in Insurance and Finance Drawdown and Occupation Time Analysis Regime-Switching Models Reinsurance Design and Optimization Time-Dependent Risk Models Scientific Awards Fellow of the Canadian Institute of Actuaries (F.C.I.A.), 2009 Fellow of the Society of Actuaries (F.S.A.), 2006

Qingguo Liمشاهده پروفایل

استاد

• Biomechanical system design
• Energy harvesting
• Wearable sensors
• +۴ مورد دیگر

Qingguo Li is a Professor and Associate Head at the Department of Mechanical and Materials Engineering , Queen's University , and a member of the Ingenuity Labs Research Institute . He specializes in biomechanical system design, energy harvesting, wearable sensors, gait analysis, and load carriage systems. His research integrates robotics, biomedical engineering, and sensor technology to develop human-centric devices and mobility aids. Current Roles : Professor, Associate Head, Queen's University Research Institute : Ingenuity Labs Research Institute Lab : Bio-Mechatronics and Robotics Laboratory His work focuses on biomechanical energy harvesting , IMU-based motion analysis , and assistive device development . Key applications include stroke rehabilitation, gait monitoring, and wearable power generation systems. Articles span cable-driven robots , smart walkers , and 3D printing mechanisms , emphasizing human-robot interaction and dynamic modeling . The lab explores sensor calibration , adaptive control algorithms , and human movement optimization . Areas of impact include rehabilitation engineering , load carriage stability , wearable sensor accuracy , and assistive robotics . His team develops solutions for gait asymmetry detection , post-stroke mobility , and low-cost energy systems , leveraging machine learning and kinetic modeling .

• Inventory control
• Supply chain management
• Capacity planning
• +۱ مورد دیگر

Tim Huh is a Professor and Chair of the Operations and Logistics Division at the University of British Columbia's Faculty of Commerce and Business Administration. He specializes in inventory control, supply chain management, and operations research, with a focus on dynamic decision-making under uncertainty. B.A., B.Math, M.Math from University of Waterloo M.A. from Regent College M.S., Ph.D. from Cornell University His research spans theoretical and applied topics including renewable energy systems, healthcare operations, and digital learning analytics. Recent work explores wind power storage optimization, asynchronous video usage in education, and multi-echelon inventory solutions. Scientific recognition includes the Canada Research Chair in Operations Excellence and Business Analytics He teaches core business analytics and operations management courses at both undergraduate and graduate levels, emphasizing quantitative decision-making and process fundamentals.

Gregory Paradisمشاهده پروفایل

استادیار

• Sustainable Forest Management
• Operations Research
• Forest Economics
• +۷ مورد دیگر

Gregory Paradis is an Assistant Professor in the Department of Forest Resources Management at the University of British Columbia (UBC) Faculty of Forestry. His research focuses on sustainable forest management, integrating operations research, mathematical optimization, and systems modeling to address complex interactions between ecosystems, industries, and society. He works with the FRESH Lab and collaborates with the Integrated Remote Sensing Studio, emphasizing ecological and economic integration in forest planning. Sustainable Forest Management Operations Research Forest Economics Data Science Risk Assessment GIS-based Methods His research spans forest inventory optimization, climate change adaptation strategies, wildfire risk modeling, and decision support systems for invasive species. He develops computational frameworks to enhance wood supply planning, carbon management, and ecological resilience. Recent work includes machine learning applications for fire safety in timber structures and automated road planning tools for wildlife conservation. Paradis’s publications highlight trends in applying optimization methods to sustainable forestry, with a focus on biodiversity, climate adaptation, and value chain innovation. He advocates for interdisciplinary approaches that bridge silviculture, industrial engineering, and data science to tackle emerging challenges in forest ecosystems. As an educator, he seeks motivated students with quantitative and creative problem-solving skills. His lab collaborates on remote sensing integration, risk assessment models, and policy-relevant forest management strategies, ensuring plans account for uncertainties like insect infestations or windthrow events.

Michael O. Woodمشاهده پروفایل

دانشیار

• Sustainability
• Environmental Management
• Organizational Behavior
• +۷ مورد دیگر

Michael O. Wood is an Associate Professor in the School of Environment, Enterprise and Development (SEED) at the University of Waterloo and currently serves as the Associate Dean of Work-Integrated Learning in the Faculty of Environment. He holds a Ph.D. in Strategy and Sustainability from the Ivey Business School at Western University, an M.A. in Environmental Studies in Sustainability Management from Western University, and a B.A. in Science from the University of Guelph. Ph.D. in Strategy and Sustainability, Ivey Business School, Western University M.A. in Environmental Studies in Sustainability Management, Western University B.A. in Science, University of Guelph Dr. Wood's research focuses on organizational responses to sustainability challenges through the lenses of space, time, scale, and social license to operate. His work spans industries like insurance, mining, carbon management, waste management, and global security, with a particular emphasis on the Blue Economy and climate change. He has contributed to frameworks for water risk assessment, sustainable packaging practices, and the role of governance in sustainability-financial performance linkages. His recent publications address transdisciplinary tools for water risk management, workforce practices' impact on sustainability, ETS policy effects, and disaster response patterns in multinational corporations. While no scientific awards are explicitly mentioned, his work has been published in journals such as the International Journal of Disaster Risk Reduction and Economic Systems Research . Dr. Wood teaches courses like Introduction to Environment and Business and Environment and Business Project , and he collaborates with researchers like Sandhu, Weber, and Bansal on sustainability-related projects. His studies often incorporate mixed-methods analysis and policy reviews for sustainable resource management in Ontario and Canada.

Daniel J. Lizotteمشاهده پروفایل

دانشیار

• Machine Learning
• Biostatistics
• Health
• +۴ مورد دیگر

Dan Lizotte is an Associate Professor jointly appointed to the Department of Computer Science in the Faculty of Science and the Department of Epidemiology and Biostatistics in the Schulich School of Medicine & Dentistry at Western University. Additional affiliations include the Schulich Interfaculty Program in Public Health and a cross-appointment to the Department of Statistics and Actuarial Sciences. Based in Middlesex College, London, Ontario, his contact email is dlizotte@uwo.ca. His research centers on machine learning and biostatistics for health decision support, with emphasis on sequential decision-making in chronic disease management where evolving patient health status and preferences inform adaptive interventions. Core contributions involve adapting reinforcement learning frameworks to model dynamic health decisions in public health and primary care settings, addressing methodological challenges in personalized medicine and risk prediction. Analysis of his publication record reveals consistent focus on healthcare applications of machine learning, particularly in chronic disease risk modeling using electronic medical records, intersectionality frameworks in public health AI, and Bayesian methods for dose personalization. His work bridges reinforcement learning with clinical decision support systems, advancing dynamic treatment regimes and statistical methodologies for evolving patient data. No scientific awards were mentioned in the provided text. The text does not specify any advisees, grant funding, or educational background details. Lizotte leads a research laboratory focused on machine learning applications in health, as evidenced by the dedicated lab site referenced in his contact information. His team likely explores intersections of statistical methodology, AI ethics, and clinical implementation for personalized health interventions.

Mauricio Drelichmanمشاهده پروفایل

استاد

• Economic History
• Sovereign Debt
• Fiscal Policy
• +۳ مورد دیگر

Mauricio Drelichman is a Professor at the University of British Columbia's Vancouver School of Economics within the Faculty of Arts. He serves as the Director of Undergraduate Studies and holds a Ph.D. from Northwestern University. His research focuses on Economic History , particularly Early Modern Spain , with emphasis on sovereign debt, fiscal policy, and institutional development. Ph.D., Northwestern University Director of Undergraduate Studies, UBC Research: Economic History, Early Modern Spain Drelichman's work investigates historical financial mechanisms such as sovereign debt contracts under Philip II, demonstrating how risk-sharing and contingent debt allowed sustained market access despite defaults. He has also analyzed resource curses , Dutch disease effects, and social consequences of persecution in Spain. His recent article in the Proceedings of the National Academy of Sciences (2021) examines long-term impacts of the Spanish Inquisition , while earlier studies explored gender wage gaps and housing markets in Early Modern Toledo. His publications often focus on historical debt sustainability , financial repression , and institutional quality . Scientific Awards: AEHE 2021 Earl J. Hamilton Prize Explorations Prize (2005/06 and 2010/11)

Nicole Myersمشاهده پروفایل

دانشیار

• Criminology
• Criminal Justice
• Pre-trial Detention
• +۳ مورد دیگر

Nicole Myers is an Associate Professor and Graduate Coordinator in the Department of Sociology at Queen's University, Canada. She holds a PhD and MA from the University of Toronto and a BA from the University of Guelph. Her research focuses on criminology, particularly pre-trial detention, bail processes, and systemic discrimination within the criminal justice system. She critiques current practices such as excessive bail conditions, institutional risk aversion, and the erosion of the presumption of innocence. Her work examines bail court dynamics, including adjournment cultures, systemic overreach in conditions (e.g., banning ordinary locations), and the impact on marginalized groups. Recent studies highlight crises in Canada’s bail system, including deepening detention rates and Manitoba’s discriminatory practices. Myers emphasizes reform needs through policy analysis and empirical studies. Publications span 2009–2024, analyzing bail’s role as punishment, surety supervision roles, and youth justice. Her research bridges legal sociology and criminology, aiming to improve judicial practices and reduce pre-trial detention inequities.

Justin Wanمشاهده پروفایل

استاد

• Scientific Computing
• Computer Graphics Simulation
• Medical Image Processing
• +۴ مورد دیگر

Justin Wan is a Professor in the Department of Computer Science at the University of Waterloo. His research focuses on scientific computing, medical image processing, computational finance, and machine learning. He holds a Ph.D. from UCLA (1998), an M.A. from UCLA (1995), and a B.Sc. from the Chinese University of Hong Kong (1992). Wan’s work bridges numerical methods, optimization, and deep learning, with applications in financial modeling, medical imaging, and fluid dynamics. His research interests include advanced techniques in scientific computing (e.g., multigrid methods), computer graphics simulation, and medical image enhancement (e.g., CT scan artifact reduction). He has pioneered applications of machine learning to computational finance, including option pricing and hedging using deep neural networks and GANs. His recent work explores denoising diffusion models and multi-agent systems for optimal execution in finance. Publications span topics like volatility surface computation, optimal mass transport for image registration, and parallel solvers for fluid dynamics. His methods address challenges in high-dimensional problems, robust numerical valuation, and scalable algorithms for large datasets. Wan collaborates across disciplines, integrating mathematical rigor with practical engineering solutions.

Brian Leungمشاهده پروفایل

دانشیار

• Predictive Ecology
• Biological Invasions
• Sustainability Science
• +۱۲ مورد دیگر

Brian Leung is an Associate Professor at McGill University, jointly affiliated with the Department of Biology and the Bieler School of the Environment . He holds the prestigious UNESCO Chair for Dialogues on Sustainability and serves as Director of the McGill Neotropical Environment Option (NEO) , a collaborative program with the Smithsonian Tropical Research Institute. His work bridges ecological theory, computational modeling, and environmental policy. Dr. Leung earned his PhD in Biology from Carleton University and completed postdoctoral research at the University of Cambridge and the University of Notre Dame. His academic journey at McGill began in 2004 as an Assistant Professor, advancing to Associate Professor in 2010. His research centers on predictive ecology , particularly modeling biological invasions and sustainability challenges . He develops and applies mathematical, statistical, and computational models to understand invasion dynamics across terrestrial, aquatic, and marine systems. His recent work includes the Panama Research and Integrated Sustainability Model (PRISM) , a spatially explicit framework for sustainability science in the Global South. His research spans scales from local to global and integrates ecological, economic, and social factors. His recent publications show a strong focus on invasion risk assessment , species distribution modeling , economic costs of invasions , and ecological forecasting . He frequently publishes in top journals such as Nature , Ecology Letters , and Global Ecology and Biogeography , emphasizing data-driven decision-making and policy relevance. Dr. Leung has received significant recognition through invitations to contribute to major reports and has co-edited influential works on invasive species economics. While specific named awards are not listed, his leadership roles and publication record reflect high scientific esteem. He actively mentors a dynamic research group, supervising multiple Ph.D. and M.Sc. students on projects related to invasion modeling, mangrove conservation, forest pest dynamics, and urban ecology. His lab emphasizes quantitative skills and interdisciplinary collaboration. He has secured research funding to support these projects, though specific grants are not detailed in the text. He leads the Leung Lab , which focuses on predictive modeling in ecology and sustainability. The lab collaborates with institutions such as the Smithsonian Tropical Research Institute and environmental firms like Habitat. Current projects include multi-species connectivity modeling, mangrove ecosystem services, and forecasting forest pest outbreaks.

Guofang Liمشاهده پروفایل

استاد

• Early bilingual development
• Family literacy
• Early literacy instruction
• +۲ مورد دیگر

Guofang Li is a Professor in the Department of Language and Literacy Education at the Faculty of Education, affiliated with the Centre for Early Childhood Education & Research (CECER). Her work centers on bilingual development and literacy education within multicultural contexts, particularly focusing on Chinese-Canadian communities. Her research interests include: Early bilingual development Family literacy practices Early literacy instruction methodologies Early education for minority learners Teacher education for multilingual classrooms Analysis of her 2021-2025 publications reveals a concentrated focus on Chinese-Canadian children's bilingual development, examining home literacy environments, digital technology impacts, and pandemic-related disruptions. She consistently advocates for equity-focused approaches in superdiverse educational settings, emphasizing translanguaging practices and critical perspectives on linguistic justice. Scientific Awards: No awards explicitly mentioned in source materials Advising and Grants: No specific student names or grant information provided in source materials Labs and Teams: Centre for Early Childhood Education & Research (CECER): An interdisciplinary hub facilitating collaborative research between academics, educators, and community partners focused on advancing evidence-based early childhood education practices through longitudinal studies and community-engaged projects.

Christoph Freiمشاهده پروفایل

استاد

• Quantitative Finance
• Risk Management
• Mathematical Economics
• +۴ مورد دیگر

Christoph Frei is a Professor and Chair of the Department of Mathematical and Statistical Sciences at the University of Alberta. He holds a PhD in mathematical finance from ETH Zurich and previously worked as a researcher at École Polytechnique in Paris. His research focuses on quantitative finance, risk management, and mathematical economics, with applications to algorithmic trading, credit risk, and digital currencies. Education: PhD in Mathematical Finance, ETH Zurich Postdoctoral Researcher, École Polytechnique (Paris) Bachelor/Master in Mathematics, ETH Zurich His work bridges academia and industry through collaborations with institutions like ATB Financial, Canadian Western Bank, and the Federal Reserve System. Key research interests include over-the-counter markets, financial regulation, and machine learning applications in risk prediction. Frei has received notable recognition, including the Best Paper in Asset Pricing Award (2019). Current industry partnerships include AI-driven customer risk prediction projects with ATB Financial and credit risk analysis with Canadian Western Bank. He actively contributes to professional organizations like PRMIA Edmonton and advises on financial technology innovation. Research grants come from NSERC, SSHRC, and Mitacs. His consulting roles have spanned risk modeling at UBS and Credit Suisse, emphasizing practical applications of theoretical frameworks.

Sapna Sharmaمشاهده پروفایل

استاد

• Climate Change
• Aquatic Ecology
• Environmental Science
• +۳ مورد دیگر

Sapna Sharma is a Full Professor in the Department of Biology at York University's Faculty of Science. Her research focuses on predicting the effects of environmental stressors—such as climate change, invasive species, and habitat alteration—on lakes and aquatic ecosystems. She leads the Sharma Lab, emphasizing big data and machine learning to address global change biology challenges. Her work explores lake ice dynamics, water quality, and biodiversity responses to climate shifts, with a focus on Arctic and Northern Hemisphere lakes. Key research areas include cryosphere studies, aquatic ecology, and climate modeling. She has developed quantitative frameworks to predict ecosystem responses and collaborates on long-term projects like the Community Lake Ice Collaboration, spanning over 1,000 lakes. Her lab's contributions include datasets like the Global Lake area, Climate, and Population (GLCP), enhancing global environmental monitoring. Sharma's research highlights societal impacts of environmental changes, such as reduced lake ice safety and economic consequences for communities. She advocates for interdisciplinary approaches to limnology and emphasizes freshwater biodiversity conservation. Her work bridges ecological and social sciences, addressing climate adaptation and policy implications. Contact details: Email sharma11@yorku.ca , Office: Lumbers Building 326. She is eligible to supervise graduate students in the Biology Graduate Program at York University.