جست‌وجوی استاد و پژوهشگر

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.

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 .

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.

• Human-Computer Interaction (HCI)
• Quantitative HCI
• Mixed Reality
• +۴ مورد دیگر

Jay Henderson is an Assistant Professor in the Department of Computer Science at Memorial University of Newfoundland, leading the Human-Computer Interaction (HCI) Lab. His research focuses on quantitative HCI, measuring human performance with emerging technologies such as mixed reality and generative AI. He holds a PhD from the University of Waterloo and has held roles including Postdoctoral Fellow at Carleton University and Senior Research Scientist at Huawei Technologies Canada. Education: PhD in Computer Science, University of Waterloo (2021) BSc Hons in Computer Science (minors in Mathematics and Psychology), Mount Allison University (2016) Research Interests: Henderson’s work bridges computer science with psychology and mathematics, emphasizing objective measurement of user interactions. Key areas include mixed reality productivity, generative AI interfaces, gesture-based input, and multimodal feedback systems. His quantitative approach ensures practical insights for technology design. Key Grants & Awards: NSERC Discovery Grant ($155,000 over 5 years) NSERC Discovery Launch Supplement ($12,500) David R. Cheriton Graduate Scholarship ($20,000 over 2 years) Teaching & Supervision: Teaches courses like COMP 4303 (AI for Games) and supervises multiple graduate and undergraduate researchers. Notable supervisees include Daniel Jo (MSc) and Arunav Saha (BSc Honours). Service Contributions: Served on ACM committees including Graphics Interface and CHI Late Breaking Work. Acted as Virtual Chair for ACM ASSETS 2024 and contributed to ACM’s name change policy as a transgender advocate.

Limin Jaoمشاهده پروفایل

دانشیار

• STEM Education
• Teacher Education
• Pedagogy
• +۶ مورد دیگر

Dr. Limin Jao is an Associate Professor in the Department of Integrated Studies in Education (DISE) at McGill University’s Faculty of Education. Her research focuses on exemplary teaching practices in mathematics and STE(A)M education, emphasizing interdisciplinary approaches, project-based learning, and student engagement. She holds leadership roles including Vice-President of the Canadian Mathematics Education Study Group and Editorial Board member of the Canadian Journal of Science, Mathematics, and Technology Education. Her expertise spans teacher education, pedagogy, and research-practice partnerships. Education: Ph.D., Curriculum Studies and Teacher Development, Ontario Institute for Studies in Education, University of Toronto M.A., Curriculum Studies and Teacher Development, OISE, University of Toronto B.Ed., Secondary Biology and Mathematics Education, Queen's University B.Sc.H., Biology and Mathematics, Queen's University Research Interests: Limin explores how interdisciplinary and inquiry-based methods foster student engagement and teacher development. Her work bridges theory and practice, advocating for inclusive classrooms and educator collaboration. She has pioneered projects linking community artifacts to STEM learning and co-edited volumes on transdisciplinary education and teacher training borders. Publications Trends: Recent work examines gender perspectives in mathematics, pre-service teacher experiences, and professional learning communities in STEM. Her research emphasizes equity, pedagogical innovation, and the intersection of cultural contexts with educational practices. Awards: 2023 Award for Distinguished Teaching, McGill University Faculty of Education Advising & Grants: Limin supervises graduate students in mathematics education and collaborates on research-practice initiatives. She leads the Jao Research Team and contributes to the Chandaria Research Centre’s advisory board at Branksome Hall. Labs/Teams: The Jao Research Team focuses on innovative teaching strategies and STE(A)M education, with projects addressing student agency and interdisciplinary curriculum design.

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.

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.

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.

Éric Bélangerمشاهده پروفایل

استاد

• Canadian Politics
• Quebec Politics
• Political Parties and Party Systems
• +۴ مورد دیگر

Éric Bélanger is a Professor in the Department of Political Science at McGill University, specializing in Canadian and Quebec politics. His research focuses on electoral behavior, political parties, nationalism, and public opinion dynamics. He holds a PhD from the Université de Montréal and has published extensively on topics such as generational shifts in Quebec nationalism, party realignment, and municipal voting patterns. His work frequently employs quantitative methods, including advanced econometric modeling for election forecasting. Research interests include: Quebec and Canadian political systems Political party competition and realignment Nationalist movements and identity politics Economic voting and fiscal policy impacts Municipal elections and local governance Comparative studies of electoral systems His recent work highlights innovative approaches to forecasting elections in diverse contexts like France and Latin America, while maintaining a strong focus on Quebec-specific issues such as generational voting patterns and the evolving nationalist landscape. Bélanger’s research often bridges theoretical frameworks with empirical analysis, contributing to both Canadian and comparative political science literatures.

Stefanie Hausteinمشاهده پروفایل

دانشیار

• Scholarly Communication
• Bibliometrics
• Altmetrics
• +۳ مورد دیگر

Stefanie Haustein is an Associate Professor at the University of Ottawa’s School of Information Studies. She co-directs the Scholarly Communications Lab (ScholCommLab), a research group focused on digital-era scholarly communication. Her affiliations include the Institute for Science, Society and Policy (ISSP), the Centre for Journalology at the Ottawa Hospital Research Institute, and the Centre interuniversitaire de recherche sur la science et la technologie (CIRST) at Université du Québec à Montréal. Her research centers on scholarly communication, bibliometrics, altmetrics, and open science. She explores open access, data sharing, academic publishing models, and the role of social media in scientific dissemination. Her recent work examines APC pricing, diamond OA identification, OpenAlex database evaluation, and pandemic research engagement. Stefanie holds a PhD in Information Science from Heinrich Heine University Düsseldorf and Master’s degrees in History, American Linguistics/Literature, and Information Science. She previously conducted postdoctoral work at École de bibliothéconomie et des sciences de l'information (EBSI), University of Montreal, and worked as a research analyst at Science-Metrix and Forschungszentrum Jülich. The ScholCommLab, under her co-direction, investigates multifaceted aspects of scholarly communication, including reward systems, citation patterns, and digital workflows. Her supervision of Madelaine Hare (expected 2027) reflects her commitment to mentoring emerging scholars.

• Global Health Equity
• Social Epidemiology
• Quantitative Methods
• +۴ مورد دیگر

Mathieu Poirier is an Associate Professor at York University's School of Global Health and Director of the Global Strategy Lab, where he also holds the York Research Chair in Global Health Equity. His work spans global health equity, social epidemiology, and policy analysis, with a focus on quantifying health inequities and evaluating international laws and treaties. Director, Global Strategy Lab York Research Chair in Global Health Equity Member of WHO Collaborating Centre on Global Governance of Antimicrobial Resistance His research interests include: Quantitative methods for measuring health inequities Tobacco control and policy analysis Antimicrobial resistance governance Global legal epidemiology Vector-borne disease research His recent publications analyze trends in antimicrobial resistance frameworks, chikungunya vaccination impact, and socioeconomic drivers of health inequalities. Awards include the York Research Chair in Global Health Equity. Dr. Poirier supervises PhD students and leads initiatives like the Grounded Project's documentary More Than Migrants . He also supports the Las Nubes EcoCampus study abroad program and employs experiential learning in his teaching.

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.

Mohsen Yoosefzadeh Najafabadiمشاهده پروفایل

استادیار

• Dry Bean Breeding
• Computational Biology
• Omics-Based Selection
• +۵ مورد دیگر

Dr. Mohsen Yoosefzadeh Najafabadi is an Assistant Professor in the Department of Plant Agriculture at the University of Guelph, Ontario Agricultural College. He holds a PhD in Plant Breeding from the University of Guelph (2022), following M.Sc. and B.Sc. degrees from the University of Tehran. His research focuses on dry bean breeding, computational biology, and integrating omics technologies to enhance crop resilience and productivity. Key areas include developing stress-tolerant dry bean varieties, leveraging remote sensing for trait prediction, and optimizing genomic selection methods. He leads the Dry Bean Breeding & Computational Biology Program and has contributed to over 30 peer-reviewed publications since 2017. Education : PhD, Plant Breeding, University of Guelph (2022) M.Sc., University of Tehran B.Sc., University of Tehran Research interests emphasize computational tools development (e.g., AllInOne preprocessing framework), omics-based selection strategies, and non-Mendelian heredity mechanisms. His lab combines machine learning with field phenotyping to address agricultural challenges such as disease resistance and climate adaptation. Collaborative projects include soybean cold stress analysis and cannabinoid profile prediction in cannabis. Publications span genomic approaches to crop improvement, remote sensing applications, and transcriptomic studies. He teaches courses in plant breeding methodologies and actively engages in technology transfer initiatives. Lab activities include developing high-yielding dry bean cultivars resistant to biotic/abiotic stresses and advancing data-driven pipelines for crop breeding. Future work aims to synergize AI with multi-omics data to enhance crop resilience in diverse environments.

• Computational Sociology
• Gender Studies
• Social Movements
• +۴ مورد دیگر

Laura K. Nelson is an Associate Professor of Sociology at the University of British Columbia , where she also directs the Centre for Computational Social Science . Her work bridges computational methods with sociological inquiry, focusing on gender inequality, social movements, and organizational dynamics. She previously held faculty roles at Northeastern University and affiliated with institutions like the NULab for Texts, Maps, and Networks and the Network Science Institute . Education: PhD in Sociology (2014), University of California, Berkeley MA in Sociology (2009), University of California, Berkeley BA in Sociology (2006), University of Wisconsin-Madison (Phi Beta Kappa) Research Interests span computational sociology, social movement strategy, intersectionality, and STEM equity. She pioneered frameworks like computational grounded theory and radical objectivity , integrating machine learning with qualitative paradigms. Recent publications analyze gender dynamics in emergency medicine, feminist movement histories, and the NSF ADVANCE program’s impact on equity. Her 2024 Social Science Quarterly paper quantifies ADVANCE’s interdisciplinary reach. Awards include the 2020 Best Meta-Reviewer at SocInfo20 and Outstanding Faculty of the Year at Northeastern University. She serves on editorial boards for American Journal of Sociology , Poetics , and Acta Sociologica . She co-PIs a National Science Foundation grant studying gender-equity dissemination in higher education networks and supervises graduate student Jinyang Yu . Her lab, Centre for Computational Social Science , drives open-source methodological innovation.