جستجوی استاد راهنمای دانشگاهی

Robert Barclay is a Professor Emeritus in the Department of Biological Sciences at the University of Calgary, Faculty of Science. He holds a PhD (Carleton University, 1981), MSc (Carleton University, 1978), and BSc (Trent University, 1976). His research focuses on the behavioral and physiological ecology of mammals and birds, particularly bats, investigating roosting behavior, thermoregulation, and responses to environmental disturbances like wind energy, urbanization, and wildfires. He has contributed to understanding bat migration, torpor physiology, and conservation challenges. Key awards include the Order of the University of Calgary (2024), Faculty of Science Excellence in Research Award (2021), and multiple teaching awards. His work spans bat-habitat interactions, climate impacts, and wildlife management. Retired since 2021, he no longer advises students but retains a legacy of influential research and mentorship. Education: PhD Biological Sciences, Carleton University, 1981 MSc Biological Sciences, Carleton University, 1978 BSc Biological Sciences, Trent University, 1976 Research highlights include studies on bat responses to wind turbines, urbanization effects on prairie bats, and Yukon bat ecology. His publications address topics like bat diet, roost selection, and population dynamics. Collaborative projects include investigating bat fatalities at wind facilities and the impact of forest disturbances on bat communities.

• Behavioral Ecology
• Physiological Ecology
• Conservation Biology
• +۳ مورد دیگر

Pierre Duchesne is a Full Professor in the Department of Mathematics and Statistics at the University of Montreal . He serves as Professor-responsibility for the M.Sc. and Ph.D. in Statistics programs (2000-2004). His research focuses on applied statistics with emphasis on: Time Series Analysis (univariate and multivariate models, serial correlation testing, portmanteau statistics) Sampling Theory (robust estimation methods, calibration estimators) Multivariate Analysis (ARCH effects, vector autoregressive models, causality testing) Applications in Econometrics and Financial Econometrics His work combines theoretical development with practical implementation through: Wavelet-based diagnostic methods Simulation studies for model validation Software development (S-PLUS/SAS) for statistical analysis Collaboration with organizations like Statistics Canada and Canadian Journal of Statistics He has served as Associate Editor for journals including Computational Statistics & Data Analysis (CSDA) and Canadian Journal of Statistics (CJS/RCS) .

• Time Series Analysis
• Sampling Theory
• Multivariate Analysis
• +۲ مورد دیگر

Dr. Maja Krzic is a Professor at the Department of Forest and Conservation Sciences within UBC's Faculty of Land and Food Systems. Her research bridges soil science with sustainability education through community engagement and digital innovation, focusing on human impacts on soil properties across agricultural, grassland, and forest ecosystems. She develops cutting-edge teaching tools like the Digging into Canadian Soils open textbook and SOILx interactive platform. PhD (University of British Columbia, 1997) MSc (University of Belgrade, 1990) BSc (University of Belgrade, 1986) Her publications (2010-2025) explore greenhouse gas dynamics in agricultural systems, soil carbon sequestration in elevation gradients, and innovative educational approaches including problem-based learning and augmented reality. Recent work addresses climate-resilient soil management in coastal British Columbia and gender parity in soil science academia. Major awards include: 3M National Teaching Fellow (2016) UBC Killam Teaching Prize (2006) Fellow, Soil Science Society of America (2023) Platinum AVA Digital Award for SOILx (2015) She has mentored 28 graduate students and postdocs, including Amy Wells (2024), Clara Roa-Garcia (PhD, 2018), and Preston Cumming (Postdoc, 2015). Current projects focus on climate change adaptation in Delta farmland and regenerative agricultural practices.

• Soil Science
• Conservation Biology
• Sustainable Agriculture
• +۳ مورد دیگر

Colin G. Farquharson is a Professor in the Department of Earth Sciences at Memorial University of Newfoundland. His career spans roles including Assistant Professor (2008-2018), Associate Professor (2014-2018), and full Professor since 2018. He holds a Ph.D. in Geophysics from the University of British Columbia (1995) and a B.Sc. (Honours) in Geophysics from the University of Edinburgh (1990). His research focuses on forward modeling and inversion of geophysical electromagnetic data, particularly surface geometry inversion (SGI), meshfree methods for unstructured grids, and joint inversion techniques. Key projects include SGI for hydrothermal vent systems, 3D EM modeling for mineral exploration, and computational methods on unstructured tetrahedral meshes. His work addresses challenges in uranium exploration, subsurface imaging, and geological interface reconstruction. Publications emphasize advancements in electromagnetic theory, inversion algorithms, and applications in mineral and hydrocarbon exploration. Notable collaborations include work with Peter Lelièvre on surface-based inversion and stochastic optimization. Research groups include the CAG Group and FacetModeller team, focusing on integrating geological models with geophysical data. Awards and recognitions are not explicitly listed, but his extensive contributions to geophysical methodology and exploration geophysics are well-documented. He advises numerous graduate students and leads projects funded by NSERC, industry partnerships, and international collaborations.

• Geophysics
• Electromagnetic Modeling
• Geophysical Inversion
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Professor Jiahua Chen is a faculty member in the Department of Statistics at the University of British Columbia (Vancouver Campus), holding the rank of Professor since 2001. He is a member of the Royal Society of Canada (2022) and has held a Canada Research Chair (Tier I) from 2007-2020. His research focuses on finite mixture models, density ratio modeling, variable selection, empirical likelihood, survey sampling, asymptotic theory, and experimental design. Education : - Ph.D. in Statistics, University of Wisconsin-Madison (1990) - M.Sc. in Systems Science, Academia Sinica, China (1985) - B.Sc. in Mathematics/Physics, University of Science and Technology of China (1982) Key Awards : - Gold Medal, Statistical Society of Canada (2014) - CRM-SSC Prize (2005) - Fellowships: ASA (2009), IMS (2005) Professional Contributions : - Editorships in journals like Canadian Journal of Statistics and Statistical Science - Leadership roles in statistical societies (e.g., President, International Chinese Statistical Association, 2005-2006) Software : - Developer of the MixtureInf2.0 R package for finite mixture model analysis.

• Finite Mixture Models
• Density Ratio Model
• Variable Selection
• +۴ مورد دیگر

Zhenxiang (Zeke) Chen is an Assistant Professor in the Department of Sociology and Criminology at the University of Manitoba . He holds a PhD in Sociology from the University of California Los Angeles (UCLA) and has taught courses such as Understanding Social Research , Quantitative Social Analysis , and Social Research Methods . PhD (Sociology), UCLA, 2021 MA (Sociology), UCLA, 2018 MPP, UCLA, 2016 BA (Economics, Mathematics, International Studies), University of Wisconsin Madison, 2013 Chen’s research examines social stratification, mobility, and inequality among migrants , focusing on assimilation and integration from life-course and social psychology perspectives. His methodological expertise includes causal inference , quantitative methods , computational approaches , and experimental designs . Recent publications analyze topics like civic engagement pathways , transnational entrepreneurship , parental migration impacts on children , and legal patterns affecting labor outcomes . His work spans disciplines including Economic Sociology , Migration Studies , and Social Psychology . Contact: zeke.chen@umanitoba.ca

• Social Stratification
• Migration Studies
• Assimilation and Integration
• +۳ مورد دیگر

J.N.K. Rao is a Distinguished Research Professor in the Department of Mathematics & Statistics at Carleton University. A leading expert in survey sampling and statistical inference, he has made groundbreaking contributions to small area estimation (SAE) and data integration methodologies. Research Focus: Specializes in survey methodology, poverty mapping, Bayesian inference, and empirical likelihood techniques. Honors: Gold Medal of the Statistical Society of Canada (1993), Fellow of the Royal Society of Canada (1991), Waksberg Award (2005), SAE Outstanding Achievement Medal (2017). His recent work explores model-based SAE, combining probability and non-probability samples, and improving inference validity through robust calibration. Awards highlight his decades-long impact on statistical theory and practice. Email: jrao@math.carleton.ca

• Statistics
• Survey Sampling
• Statistical Inference
• +۳ مورد دیگر

Paul Gustafson is a Professor and Head of the Department of Statistics at the University of British Columbia's Faculty of Science. He holds a faculty position at the Vancouver Campus and can be contacted via gustaf@stat.ubc.ca. His research focuses on advanced statistical methodologies with applications in epidemiology, public health, and clinical research. Key interests include Bayesian analysis, causal inference, measurement error correction, and meta-analysis. Dr. Gustafson's work emphasizes methodological innovations in handling complex data challenges such as exposure misclassification, missing data, and observational study biases. He collaborates on projects addressing opioid use disorder treatment efficacy, infectious disease epidemiology, and health policy. Current advisees include Nathaniel Wu Dyrkton, Daniel Daly Grafstein, Seren Lee, Yuan Xia, and Mallory J Flynn. His research outputs span statistical theory, applied public health studies, and computational methods. Recent work highlights include Bayesian approaches to sample size determination, probabilistic bias analysis in diagnostic studies, and frameworks for evaluating treatment benefit predictors using observational data. Dr. Gustafson is also involved in global initiatives such as the Zika Virus Individual Participant Data Consortium. Notable methodological contributions include developing techniques for partially identified models, correcting measurement errors in health surveys, and advancing causal inference methodologies. He has contributed to R packages like rtestim for epidemic modeling and CRTpowerdist for cluster randomized trial analysis.

• Biostatistics
• Epidemiology
• Bayesian Analysis
• +۳ مورد دیگر

Alagan Anpalagan is a Full Professor in the ELCE Department at Toronto Metropolitan University, previously Ryerson University. He holds a PhD in Electrical Engineering from the University of Toronto. His research focuses on radio resource management (RRM), green communication, IoT networks, and wireless communication systems. He directs the WINCORE Lab, specializing in radio access & networking (RAN) and cross-layer design. Dr. Anpalagan has authored/co-edited multiple books and holds IEEE Fellow status (2024). He has received awards including the Ryerson Sarwan Sahota Distinguished Scholar Award (2022) and the IEEE Canada Outstanding Engineering Educator Medal (2018). He has served in editorial roles for IEEE Communications Surveys & Tutorials and led industry collaborations with companies like Bell Mobility and IBM. Education: B.A.Sc. in Electrical Engineering, University of Toronto M.A.Sc. in Electrical Engineering, University of Toronto Ph.D. in Electrical Engineering, University of Toronto Research Interests: His work spans RRM, energy-efficient networks, cognitive communication, and smart grid technologies. Recent projects include digital twin applications in IoT and 6G-based user localization for emergencies. Publications: His 15 most recent articles include studies on network routing protocols, IoT scheduling with digital twins, and AI-driven disaster response systems. These reflect his focus on integrating AI and edge computing into next-gen communication systems. Awards: Recognized for both research and teaching excellence, including IEEE Fellowships and institutional awards for graduate education and service. Labs/Teams: Lead researcher at the WINCORE Lab, collaborating with academia and industry on wireless resource management and heterogeneous networks. The lab’s alumni network includes over 100 researchers.

• Wireless Communication
• Radio Resource Management
• Green Communication
• +۷ مورد دیگر

Roles & Affiliations Professor at Department of Statistics and Actuarial Science , University of Waterloo since 2012. Serves as Associate Editor for Canadian Journal of Statistics and Metrika . Previously held roles at University of Alberta (2008-2011) and University of British Columbia (2008 postdoc). Education PhD in Statistics (2007) - University of Waterloo MA in Statistics (2004) - Nankai University BSc in Statistics (2001) - Nankai University Research Focus Specializes in statistical methodologies including finite mixture models, empirical likelihood, experimental design, biased sampling problems, capture-recapture data, and density ratio models. Current interests include statistical inference under constraints and analysis of non-probability survey samples. Awards CRM-SSC Prize in Statistics (2022) Institute of Mathematical Statistics Fellow (2022) Multiple awards for teaching and research excellence from University of Waterloo Students & Grants Advised over 10 PhD/Master’s students. Active grants include NSERC funding since 2009 and startup grants from University of Waterloo. Supervises postdocs in statistical methodology development.

• Finite Mixture Models
• Empirical Likelihood
• Experimental Design
• +۵ مورد دیگر

Changbao Wu is a Professor and Chair of the Department of Statistics and Actuarial Science at the University of Waterloo, within the Faculty of Mathematics. His research focuses on complex survey design and analysis, with expertise in empirical likelihood methods, resampling techniques, and missing data problems. He has developed R packages to implement these methods and is a Fellow of the American Statistical Association and Elected Member of the International Statistical Institute, receiving the 2012 CRM-SSC Prize in Statistics. Education: PhD in Statistics (1999) from Simon Fraser University under Prof. Randy Sitter. He has been at Waterloo since 1999. Research Interests: Design and analysis of complex surveys Semiparametric/nonparametric methods Empirical likelihood methods Resampling (jackknife/bootstrap) Missing data and measurement error Survey sampling methodology Professional Roles: Associate Editor: Survey Methodology (2006–), Biometrika (2008–), Journal of Nonparametric Statistics (2011–) Member: Statistics Canada’s Advisory Committee on Statistical Methods Recent Publications Trends: Focus on non-probability survey samples, causal inference, and pseudo-empirical likelihood methods. Recent work addresses challenges in combining non-probability and probability samples, doubly robust estimation, and calibration techniques. Awards: Fellow of ASA (since 2020) Elected ISI Member (since 2012) CRM-SSC Prize (2012) Grants and Advising: Extensive grants related to survey methodology and statistical inference. Advises on the International Tobacco Control (ITC) China Survey and collaborates on large-scale studies like the Canadian Longitudinal Study on Aging (CLSA). Labs/Teams: Leads research in survey statistics and statistical methodology at the University of Waterloo, contributing to interdisciplinary projects involving health, economics, and social sciences.

• Survey Methodology
• Complex Surveys
• Empirical Likelihood Methods
• +۶ مورد دیگر

Dr. Kevin Keen is a Professor in the Department of Mathematics and Statistics at the University of Northern British Columbia (UNBC). He joined UNBC in July 2004 and was promoted to full Professor in July 2015. Dr. Keen holds dual accreditation as a Professional Statistician (P.Stat.) from both the Statistical Society of Canada and the American Statistical Association, and is a Fellow of the Royal Statistical Society. His academic career includes visiting appointments at the Netherlands Institute for Health Sciences (Erasmus University, Rotterdam) and the Faculty of Medicine at Leiden University. Dr. Keen's research focuses on the development of novel statistical techniques and cutting-edge computer software for the analysis of multivariate data in the study of complex diseases. His expertise spans clinical epidemiology, data science, genetic epidemiology, molecular epidemiology, and multivariate statistics. He has made significant contributions to statistical graphics methodology, particularly through his widely used textbook "Graphics for Statistics and Data Analysis with R." His work bridges statistical theory with practical applications in biomedical research, especially in rheumatology and autoimmune diseases. Analysis of Dr. Keen's publication record reveals a strong focus on statistical methodology development applied to complex biomedical problems, particularly in rheumatology and autoimmune diseases. His work demonstrates consistent integration of advanced statistical techniques with clinical research questions, with particular emphasis on multivariate analysis of complex disease patterns. The trajectory of his research shows increasing specialization in statistical applications for systemic sclerosis, lupus, and related conditions, while maintaining strong contributions to fundamental statistical methodology and educational resources. Professional Statistician (P.Stat.) by Statistical Society of Canada Professional Statistician (PStat) by American Statistical Association Fellow of the Royal Statistical Society Pen and Scroll Award of the American Academy of Otolaryngic Allergy (2005) Certificate of Teaching Excellence from the University of Manitoba (1996) Commemorative Medal for the 125th Anniversary of the Confederation of Canada (1993) Dr. Keen actively supervises graduate students in PhD Health Sciences, MSc Mathematics, and BSc Mathematics programs at UNBC. He serves as a statistical consultant for clinical trials and public health intervention studies, applying his expertise in research design and analysis. His consulting work spans multiple domains including rheumatology, pulmonary medicine, and genetic epidemiology. Dr. Keen is available as a media expert on statistical matters and has contributed to developing standardized health assessment tools through his involvement with World Health Organization classification systems.

• Biostatistics
• Multivariate Statistics
• Clinical Epidemiology
• +۶ مورد دیگر

Utsav Sadana is an Assistant Professor of Operations Research in the Department of Computer Science and Operations Research (DIRO) at the University of Montréal. He holds affiliations with IVADO, CIRRELT, and GERAD research centers. His academic journey includes a postdoctoral fellowship at McGill University and a PhD in Management Science from HEC Montréal under Prof. Georges Zaccour. His research spans mathematical optimization, machine learning, and game theory with applications in decision-making under uncertainty. Key interests include entropic risk measures, impulse control in differential games, and contextual optimization methods. His work integrates theoretical foundations with practical applications in security, insurance, and technology adoption. His recent publications demonstrate a strong focus on distributionally robust optimization, risk-averse decision making, and game-theoretic approaches to dynamic systems. The 2025 European Journal of Operational Research survey synthesizes advances in contextual optimization, while his 2023 INFORMS Journal paper establishes the value of randomized strategies in network security contexts. As an educator, he teaches Methods of Operations Research (IFT-6575) and Dynamic Programming (IFT-6521) at the University of Montréal, and previously taught Business Statistics at McGill University. Lead researcher on Decision-making in dynamical systems (2024-2030) funded by NSERC Discovery Grant Co-researcher on Integration of Environmental Data in Urban Planning (2024-2026) with MITACS Acceleration funding His research methodology combines theoretical rigor with computational implementation, evidenced by his GitHub repositories containing optimization solvers and experimental code for risk analysis.

• Mathematical optimization
• Machine learning
• Game theory
• +۵ مورد دیگر

Mark Pickup is Professor of Political Science at Simon Fraser University, specializing in political behavior, methodology, and psychology. His research examines democratic responsiveness, political identities, and electoral forecasting through advanced longitudinal analysis. Pickup develops statistical methods for time series and panel data while studying how campaigns and crises reshape public opinion. Research domains: Polling accuracy and election forecasting Political identity and normative behavior COVID-19's impact on political attitudes He authored Introduction to Time Series (Sage, 2014) and contributes to international projects on voting behavior and democratic accountability. Pickup currently investigates how social norms shape political belief systems and the spread of misinformation during crises.

• Political Behavior
• Election Forecasting
• Political Psychology
• +۲ مورد دیگر

Emily Rubidge is an Honorary Assistant Professor in the Department of Forest and Conservation Sciences at the University of British Columbia's Faculty of Forestry. Her research focuses on Applied Conservation Science and Ecosystems and Climate Change , with a particular emphasis on marine protected area networks, habitat connectivity, and biodiversity monitoring in the Pacific coastal regions of Canada. Institution: University of British Columbia School: Faculty of Forestry Department: Forest and Conservation Sciences Email: emily.rubidge@ubc.ca Rubidge's work integrates ecological theory into conservation planning, addressing challenges such as cumulative effects on marine ecosystems, climate change impacts on species distributions, and technological innovations like environmental DNA (eDNA) and satellite monitoring for biodiversity assessment. Her recent studies examine marine protected area (MPA) effectiveness, kelp forest dynamics, and transboundary conservation strategies. The 15 most recent publications reveal a focus on: Climate-resilient MPA design Seagrass and kelp habitat connectivity Human activity impacts on marine ecosystems Advancements in biodiversity monitoring techniques Policy implementation for global biodiversity frameworks Data integration in conservation planning Her research spans marine ecology, conservation policy, and climate adaptation strategies.

• Applied Conservation Science
• Ecosystems and Climate Change
• Marine Biodiversity
• +۳ مورد دیگر