جست‌وجوی استاد و پژوهشگر

Ron Darvinمشاهده پروفایل

استادیار

• Digital literacies
• Generative AI in education
• Critical pedagogy
• +۷ مورد دیگر

Ron Darvin is an Assistant Professor in the Department of Language and Literacy Education at the University of British Columbia's Faculty of Education. He serves as Research Lead for UBC Language Sciences' 'Reimagining Public Discourse' initiative, focusing on AI's societal impacts. His work examines digital literacies, generative AI, and equity in multilingual education, with grants including the Hampton Fund and Inception Grants. Research Interests: Darvin investigates how sociotechnical structures and algorithmic processes shape language learning, emphasizing critical digital literacies, identity, and decolonial pedagogies. His research addresses inequalities in AI access for low-resource language speakers and promotes antiracist educational frameworks. Publication Trends: Recent articles (2023-2025) analyze generative AI's impact on L2 writing, translanguaging pedagogies, and critical approaches to technology-mediated learning. They consistently highlight themes of equity, algorithmic bias, and learner agency across diverse linguistic contexts. Awards and Honors: Vanier Scholar (2014-2017) Best Paper Award, English for Specific Purposes (2024) Top 2% Most-Cited Scientist (Stanford University, 2023-2024) Dissertation Award (AAAL, 2020) Emerging Scholar Award (AERA, 2017) Grants and Leadership: Darvin leads research on 'Generative AI and Digital Literacies of Multilingual Youth' funded by SPARC and Faculty of Education grants. He supervises PhD/MA students and conducts professional development workshops for K-12 educators on AI literacy.

• Biological Oceanography
• Climate Change
• Marine Ecosystem Modeling
• +۳ مورد دیگر

Yulia Egorova is a biological oceanographer at the University of British Columbia’s Department of Earth, Ocean and Atmospheric Sciences, part of the Faculty of Science. Her research focuses on developing midwater ecosystem models to address ecological and biogeochemical questions related to mesopelagic zones. She holds an MSc (2016) in Biological Oceanography and dual BSc degrees in Environmental Chemistry (2012) and Chemical Engineering (2010) from Thompson Rivers University and Mendeleyev University respectively. Research Interests: Her work integrates climate change impacts on marine ecosystems, mesopelagic food web dynamics, and fisheries productivity. She also explores computational chemistry applications in nuclear reactor environments and acid-base equilibria. Recent projects include modeling mesopelagic biodiversity and investigating salmon migration patterns using otolith chemistry. Teaching: She has coordinated courses like MEDI504A/B (Experimental Medicine) and taught over 20 courses across undergraduate and graduate levels, including EOSC112 (Fluid Earth), STAT545 (Data Analysis), and DSCI521 (Data Science Platforms). Advising & Grants: While no formal advisees are listed, her interdisciplinary projects bridge oceanography, chemistry, and data science. She has contributed to studies funded by UBC and international collaborations. Key Projects: Current research includes midwater ecosystem modeling and computational chemistry investigations into CANDU reactor systems. Past work includes method development for 4-methylimidazole analysis in food products using HPLC.

• Oceanography
• Marine Ecosystems
• Physical Oceanography
• +۳ مورد دیگر

Samuel W. Stevens is a Lecturer at the University of British Columbia (UBC) and a postdoctoral researcher at the Hakai Institute, contributing to the Canadian-Pacific Robotic Ocean Observing Facility (CPROOF). He holds a PhD in Oceanography from UBC (2017–2024), following a BSc from the University of Southampton and prior roles as a Research Technician at the Bermuda Atlantic Time-series Study and a MetOcean Scientist at Fugro EMU. His research focuses on understanding ocean evolution, physical processes influencing coastal ecosystems, and developing low-cost instruments like 'Swish floats' for dispersion tracking. He teaches courses such as EOSC 473/573 (Methods in Oceanography), EOSC 112 (The Fluid Earth), and EOSC 211 (Computer Methods in EOAS). Stevens’ work integrates observations and models to study coastal currents, pollutant dispersion, and climate-driven changes in marine systems. His recent publications address topics like Gulf of St. Lawrence circulation, PBDE distribution, and Salish Sea cadmium dynamics. He collaborates on projects involving autonomous gliders, floats, and moorings to advance robotic ocean observing systems.

P Taylor Webbمشاهده پروفایل

استاد

• Education Policy
• Racial Biopolitics
• Neoliberalism
• +۳ مورد دیگر

P Taylor Webb is a Professor in the Department of Educational Studies at the Faculty of Education, University of British Columbia (Vancouver campus). His research focuses on education policy's intersections with neoliberalism, racial biopolitics, and computational governance. He critically examines how algorithms, datafication, and corporate partnerships reshape educational systems through policy frameworks, emphasizing resistance and decolonial perspectives. Key research areas include postdigital governance, racialized policy enactments, and the biopolitical dimensions of education. His work interrogates how technologies like AI and data analytics create new forms of governance, while also exploring institutional racism through case studies like Islamic and Afrocentric schools. Publications highlight policy mobilities, prolepsis (anticipatory governance), and event-based policy analysis. Recent works critique Big Tech's influence in universities and analyze pandemic-era educational contagion metaphors. Webb's research outputs consistently address policy's affective dimensions, spatial geographies, and ethical implications, proposing inventive methodologies to counteract neoliberal and proto-fascist tendencies in education systems.

Solomon Naglerمشاهده پروفایل

استاد

• Experimental Film
• Public Art
• Memory Studies
• +۵ مورد دیگر

Solomon Nagler is a Professor in the Division of Media Arts, Film at Nova Scotia College of Art and Design University (NSCAD). His work bridges experimental film, public art, and interdisciplinary research, with a focus on memory activism and counter-memorialization. He holds a BA in Philosophy from the University of Winnipeg (1998) and an MFA in Film Production from Concordia University (2007). Nagler’s research includes SSHRC-funded projects such as Memory Activism; Collaborative Processes of Counter-Memorialization , which engages genocide studies, museum practices, and artistic collaboration. Earlier work explored public space through augmented reality and locative media, earning a Design Innovation Award at the 2014 Human-Computer Interaction Conference. His creative practice spans 16mm installations, site-specific cinema, and curatorial projects. Notable exhibitions include Speculative Cartographies (Warsaw Biennale & Halifax Central Library) and Genizah (Berlin & Winnipeg). He co-founded the WNDX Film Festival and edited landmark texts like Sculpting Cinema (2017) and Landscape of Moving Image (2021). Awards include the 2014 Design Competition & Future Innovations Award for his geolocative cinema project. His work interrogates spatial relationships between art, memory, and urban environments, with installations featured globally from Sydney to Paris.

Buddhika Bellanaمشاهده پروفایل

استادیار

• Cognitive Psychology
• Neuroscience
• Episodic Memory
• +۶ مورد دیگر

Buddhika Bellana is an Assistant Professor in the Department of Science at Glendon College, York University. They lead the Memory & Meaning Lab, which investigates human memory, spontaneous thought, and narrative processing. Bellana holds a PhD in Psychology from the University of Toronto (2013–2018) and postdoctoral fellowships at Johns Hopkins University (2018–2021) and the University of Toronto (2020–2021). Their research focuses on episodic memory, the role of narratives in cognition, and the neural mechanisms underlying spontaneous thought, particularly involving the default mode network and hippocampus. Bellana has secured grants from the Natural Sciences and Engineering Research Council (NSERC) for projects on memory consolidation and predictive models in naturalistic contexts. They teach courses such as 'Stories, Minds, and Brains' and 'Introduction to Experimental Psychology,' and mentor graduate students exploring topics like curiosity, aging, and episodic memory. The lab collaborates with interdisciplinary teams to apply natural language processing and machine learning to study timeless narratives and mental context persistence. Education: PhD in Psychology, University of Toronto (2013–2018) MA in Psychology, University of Toronto (2012–2013) BA in Psychology, York University (2007–2012) Research Interests: Episodic memory, spontaneous thought dynamics, narrative analysis, neuroimaging, default mode network, aging, computational modeling. Grants: Multiple NSERC grants (2012–2028) focused on memory, predictive models, and aging. Labs/Teams: Principal Investigator of the Memory & Meaning Lab; collaborations with institutions like Johns Hopkins University and York University.

Jonathan Dushoffمشاهده پروفایل

استاد

• Theoretical Biology
• Computational Biology
• Statistical Biology
• +۳ مورد دیگر

Jonathan Dushoff is a Professor of Biology and Mathematics & Statistics at McMaster University in the Faculty of Science, with appointments in both the Department of Biology and the Department of Mathematics and Statistics. His work bridges theoretical biology with practical applications in public health, particularly focusing on infectious disease dynamics through computational and statistical approaches. Dushoff's research centers on understanding how biological systems are shaped at large scales by small-scale changes, with particular emphasis on infectious diseases of humans. His theoretical work spans epidemiological modeling, transmission dynamics, and statistical methods for analyzing biological data. He has made significant contributions to understanding rabies transmission, SARS-CoV-2 dynamics, plague evolution, and methodological approaches in infectious disease modeling. His recent publications demonstrate a strong focus on practical public health applications of theoretical models, including optimizing rabies vaccination campaigns, understanding reinfection dynamics with SARS-CoV-2, analyzing historical disease patterns, and developing methodological frameworks for epidemiological analysis. His work often addresses the intersection of mathematical theory and real-world disease control challenges. Dr. Dushoff actively supervises graduate students through multiple departments and is currently recruiting postdoctoral fellows to study rabies transmission. His interdisciplinary approach reflects the growing importance of mathematical and computational methods in modern biological research and public health decision-making.

Phillip Vanniniمشاهده پروفایل

استاد

• Ethnography
• Documentary Film
• Sensory Studies
• +۴ مورد دیگر

Phillip Vannini is a Professor of Communication & Culture at Royal Roads University, specializing in ethnography, documentary filmmaking, and sensory studies. He has conducted fieldwork in remote locations globally, including the Galapagos Islands, Patagonian glaciers, and underwater hotels. His research focuses on wildness, more-than-human geographies, and innovative ethnographic representation. Education: PhD in Sociology (2004, Washington State University), MA in Communication (1999), BA (1998, City University of Seattle). Research emphasizes multisensory ethnography and public dissemination of qualitative findings. Notable projects include studies on off-grid living, political ecology of wilderness, and underwater hospitality. He directed films like In the Name of Wild and Our Teacher , blending academic rigor with artistic storytelling. Awards include multiple nominations for the Kelly Outstanding Teaching Award (2007, 2010). He served as Canada Research Chair in Public Ethnography and Innovative Learning (2010–2021). His work bridges academia and broader audiences through films, books, and participatory methodologies. Teaching focuses on research methods and visual media, mentoring students in creative thesis projects. Current research explores underwater architecture’s ethical implications and pandemic-era remoteness. Collaborations include work with Indigenous communities, conservationists, and architects worldwide.

Dan Waltersمشاهده پروفایل

استاد

• Water Governance
• First Nations Drinking Water and Wastewater Risk
• Precision Agriculture
• +۳ مورد دیگر

Dan Walters is a Full-time Faculty member at Nipissing University, currently serving as Associate Dean for Graduate Studies . He holds a PhD and graduate degrees in Geography from the University of Western Ontario, with a focus on environmental and agricultural research. Education: BA (Honours), University of Western Ontario MA, University of Western Ontario PhD, University of Western Ontario His research spans water governance , First Nations drinking water risk , harmful algae blooms , and precision agriculture , utilizing tools like UAVs and satellite data to analyze crop and water management. Recent publications (2016–2023) highlight collaborations on environmental monitoring, nutrient modeling, and Indigenous engagement in water policy.

• Cybersecurity
• Machine Learning
• Privacy-Preserving Techniques
• +۷ مورد دیگر

Xichen Zhang is an Assistant Professor at the Department of Finance, Information Systems and Management Science within the Sobey School of Business at Saint Mary's University. His research focuses on cybersecurity, privacy-preserving techniques, federated learning, fake news detection, and machine learning applications in edge-cloud collaboration and mobile crowdsensing. He holds a Ph.D. in a relevant field and has contributed to interdisciplinary projects involving blockchain-based voting systems and IoT security solutions. His work emphasizes practical solutions to modern challenges in data privacy, misinformation detection, and distributed computing. Notable contributions include the development of the TruthSeeker dataset for real/fake content analysis and frameworks like SCORE for scalable contact tracing. His articles explore topics from adversarial machine learning defenses to temporal user credibility models in social networks. Dr. Zhang's research integrates technical innovations with societal impact areas like healthcare informatics and election security. He collaborates across disciplines to address privacy challenges in both academic and industrial contexts. Current projects investigate federated reinforcement learning for IoT systems and multimodal fake news detection using image-text consistency analysis.

Reg Kulpergerمشاهده پروفایل

استاد

• Stochastic Processes
• Bootstrapping Techniques
• Asymptotic Methods
• +۳ مورد دیگر

Dr. Reg Kulperger is a Professor in the Department of Statistical and Actuarial Sciences at the University of Western Ontario. He holds a PhD from Carleton University (1978) and teaches courses in statistical inference, probability, and stochastic processes. Research expertise includes inference for stochastic processes, bootstrapping techniques, asymptotic methods, and financial modeling. Current projects involve stochastic forest fire growth modeling, change point detection in environmental processes, and option pricing under non-normal distributions. His publications demonstrate applications across environmental science, finance, and hydrology, with methodological innovations in spatial statistics and empirical processes. Recent graduate supervision includes students working on inference for stochastic processes and computational statistics.

• Computer Vision
• Remote Sensing Systems
• Video Sports Analytics
• +۷ مورد دیگر

David A. Clausi is a Professor and University Research Chair at the University of Waterloo in the Department of Systems Design Engineering, Faculty of Engineering, with a distinguished career spanning computer vision, image processing, and pattern recognition. He previously served as Associate Dean - Research and External Partnerships (2019-2024) and leads the Vision and Image Processing (VIP) Research Group, whose work bridges academic research with commercial applications including the spinout company CREZ. His academic foundation was built entirely at the University of Waterloo: Doctorate in Systems Design Engineering (1996) Master's in Systems Design Engineering (1992) Bachelor's in Systems Design Engineering (1990) Professor Clausi's research pioneers AI-driven remote sensing for Arctic sea ice monitoring and video sports analytics in baseball/ice hockey. His group develops cutting-edge algorithms for sea ice classification, player tracking, and hyperspectral imaging, with strong emphasis on uncertainty quantification and weakly supervised learning techniques that solve real-world challenges in environmental monitoring and sports technology. Analysis of his 2023-2025 publications reveals dominant trends in sea ice analysis using SAR satellite imagery (particularly AI4Arctic Challenge datasets) and sports video analytics, with growing integration of Bayesian methods and transformer networks for enhanced accuracy in polar regions and athletic performance analysis. His exceptional contributions are recognized through: University Research Chair appointment (2024-2031) Triple Fellowship status (CAE, EIC, and Asia-Pacific AIA) CIPPRS Lifetime Achievement Award (2010) Five-time Outstanding Performance Award recipient Stanford University "Top 2% Scientist" designation As an active educator teaching SYDE 575 (Image Processing) and SYDE 121 (Digital Computation), he mentors graduate students under Sole-Supervisory Privilege Status. His research receives substantial grant support from federal agencies and industry partners, particularly for Arctic monitoring initiatives and sports technology commercialization through the VIP Research Group. The VIP Research Group maintains strategic partnerships with government agencies like the Canadian Ice Service and sports analytics firms, driving innovation in AI applications for climate resilience and athletic performance through cross-disciplinary collaboration between engineering, computer science, and domain specialists.

Jean-François Planteمشاهده پروفایل

استاد

• Statistical Inference
• Statistical Learning
• Sports Analytics
• +۳ مورد دیگر

Jean-François Plante is a Professor at the Department of Decision Sciences, HEC Montréal. He holds roles such as Member of the Group for Research in Decision Analysis (GERAD), Professorship in Pedagogical Innovation in Gamification for Data Science, and Associate Director of Pôle sports Education. His research focuses on Statistical Inference, Statistical Learning, Sports Analytics, Applied Artificial Intelligence, and Dependence Models (copulas). He actively supervises Master’s theses and projects, contributing to over 40 academic works in the last five years. Education: B.Sc. in Mathematics from Université Laval, M.Sc. and Ph.D. in Statistics from University of British Columbia. Research interests emphasize statistical methodologies applied to diverse fields including sports analytics, environmental modeling, and machine learning optimization. His recent publications explore topics like spatial interpolation in mining, classification tree capabilities, and migrant labor dynamics in professional sports. He has advised numerous students on projects ranging from fraud detection to AI-enhanced chatbots for autism support. Plante teaches courses such as Statistical Learning and Multidimensional Analysis, reflecting his expertise in statistical education and pedagogical innovation. His work bridges academia and industry through collaborations with organizations like CDPQ and Mouvement Desjardins.

Li Xiمشاهده پروفایل

دانشیار

• Polymer Materials and Manufacturing
• Process Systems Engineering
• Fluid Mechanics
• +۵ مورد دیگر

Dr. Li Xi is an Associate Professor of Chemical Engineering at McMaster University, specializing in multiscale molecular modeling of polymer materials, flow turbulence, and polymer fluid dynamics. His research integrates computational fluid dynamics (CFD) and molecular simulation to address challenges in energy, environment, and biomedical applications. He holds a Ph.D. from the University of Wisconsin-Madison and completed postdoctoral research at MIT, focusing on polymer materials and pharmaceutical manufacturing. Education: Ph.D., Chemical Engineering, University of Wisconsin–Madison (2009) Postdoctoral, Chemical Engineering, MIT (2009–2013) B.S., Chemical Engineering, Zhejiang University (2004) Research Interests: Multiscale modeling of polymer materials for targeted properties Turbulent flow dynamics and drag reduction mechanisms Rheology and polymer processing-structure-property relationships Advanced materials and smart manufacturing systems Labs & Resources: Led research group at McMaster (visit www.xiresearch.org ) Focus areas: polymer materials, process systems engineering, micro-nano systems Teaching: Instructor for CHEM ENG 3D04 (Thermodynamics), CHEM ENG 3L03 (Laboratory Skills), and supervising graduate students

Yuan Yuanمشاهده پروفایل

استاد

• Nonlinear Dynamical Systems
• Delay Differential Equations
• Mathematical Biology/Ecology
• +۲ مورد دیگر

Dr. Yuan Yuan is a Professor of Mathematics at the Department of Mathematics and Statistics , Memorial University of Newfoundland in St. John's, NL. He holds the NSERC University Faculty Award (2004) and focuses on applied dynamical systems, delay differential equations, and mathematical biology. His research explores topics like disease transmission models, neural networks, and ecological systems. Education: PhD, The University of Western Ontario M.Sc., Central South University B.Sc., Wuhan University Postdoc, University of Waterloo Research Interests: Nonlinear Dynamical Systems Delay Differential Equations Mathematical Biology/Ecology Computation of Differential Equations Neural Networks His work emphasizes modeling complex systems, including predator-prey interactions, disease spread dynamics, and control strategies in ecological and epidemiological contexts. Recent Publications: Recent works address topics like predator-prey models with harvesting, fractional Schrödinger equations, and epidemic dynamics. These studies highlight interdisciplinary approaches to real-world problems, such as optimizing fishery management and understanding viral transmission patterns. Awards: NSERC University Faculty Award (2004) Teaching & Advising: Teaches courses in differential equations, dynamical systems, and mathematical modeling. Advises students like Isam Al-Darabsah on topics such as disease transmission and stage-structured models. Professional Activities: Organized the AARMS Workshop on Mathematical Biology (2011) and contributed to collaborative research networks.