جستجوی استاد راهنمای دانشگاهی

Michael Sawadaمشاهده پروفایل

استاد

• Geomatics
• Health Geography
• Machine Learning
• +۶ مورد دیگر

Michael Sawada is a Full Professor at the University of Ottawa in the Department of Geography, Environment and Geomatics . With a career spanning decades, his work bridges geomatics, health geography, and machine learning applications in spatial analysis. Ph.D. in Geography (2001) M.A. in Geography (1996) B.A. (Hon.) in Geography with concentration in Philosophy (1994) His research focuses on geospatial methodologies for addressing complex environmental and public health issues, including: Health disparities and disease distribution Machine learning for remote sensing and land use analysis Natural hazard risk assessment and mitigation Urban healthscapes and climate change impacts Recent publications highlight his innovative integration of deep learning with geospatial datasets , including analysis of neighbourhood-level Lyme disease risks and neural network-enhanced lichen cover mapping . His work also explores income polarization patterns in Canadian metropolitan areas and health service utilization trends. Professor Sawada supervises graduate students including Krutiben Mehta , Sarah Gebert , Zhewen Luo , Raziyeh Ramezani , and Amirreza Farshchin . He teaches advanced geomatics courses like GEG 6102 - Advanced Geomatics , emphasizing digital earth technologies and spatial information systems.

Nadja Kunzمشاهده پروفایل

دانشیار

• Mine Water Management
• Water Stewardship
• Sustainable Resource Policy
• +۲ مورد دیگر

Dr. Nadja Kunz is an Associate Professor jointly appointed at the School of Public Policy and Global Affairs and the Norman B. Keevil Institute of Mining Engineering at the University of British Columbia. As Canada Research Chair in Mine Water Management and Stewardship (NSERC Tier 2), she leads research focused on quantifying and mitigating water-related risks in mining through interdisciplinary approaches. Education: PhD in Interdisciplinary Engineering, Sustainable Minerals Institute, University of Queensland Bachelor of Chemical Engineering (First Class Honours), University of Queensland Bachelor of Business Management (Dean's Honour Roll), University of Queensland Research Focus: Dr. Kunz develops engineering models and qualitative methods to address water management challenges in mining. Her work bridges technical risk assessment with sustainability transitions, examining organizational constraints and governance frameworks for responsible resource extraction. Publications: Her recent articles demonstrate strong emphasis on water stewardship in mining regions, ESG integration, climate vulnerability assessments, and gender dimensions in resource governance. Research spans technical solutions and policy frameworks across diverse geographical contexts including Mongolia, Canada and Peru. Awards and Leadership: Co-leads Water Stewardship theme for Bradshaw Research Initiative on Mining and Minerals Distinguished Fellow, Peter P. Dhillon Centre for Business Ethics Board Member, Genome British Columbia Executive Advisor to Liveris Academy at University of Queensland Professional Experience: Combines academic work with industry practice as former Water Specialist for International Finance Corporation, with operational experience at Rio Tinto, Anglo Gold Ashanti, and mining sites across Australia.

Ursula Eickerمشاهده پروفایل

استاد

• Urban energy systems
• 3D City modeling
• Urban data and simulation platform development
• +۷ مورد دیگر

Prof. Ursula Eicker is the Canada Excellence Research Chair in Smart, Sustainable and Resilient Cities and Communities at Concordia University , leading cutting-edge research in urban energy systems. Her work integrates 3D city modeling, renewable energy systems, and sustainable transport to develop zero-carbon city strategies. PhD in Solid State Physics (Heriot-Watt University) Habilitation in Renewable Energy Systems (Technische Universitat Berlin) Research Interests focus on urban simulation platforms, district energy networks, and climate-resilient infrastructure. The INSEL4Cities platform enables holistic urban modeling for building demands, transportation, and greenery. Her Residential Densification studies demonstrate 65% energy reduction through retrofits and solar integration. Recent publications explore urban solar shading , transactive energy systems , green infrastructure equity , and decentralized hydrogen production . Awards include the German-African Innovation Incentive and recognition for photovoltaic research in Egypt. Over 50 graduate students in her lab examine zero-carbon pathways. Teaches ENCS 691 on urban energy systems. Secured 10M CAD for the CERC chair and multiple grants. Co-Director of Concordia's Next Generation Cities Institute .

Emmanuel Stefanakisمشاهده پروفایل

استاد

• Geospatial Data Science
• Digital Earth
• Discrete Global Grid Systems (DGGS)
• +۱۷ مورد دیگر

Emmanuel Stefanakis is a Professor and Department Head of Geomatics Engineering at the Schulich School of Engineering, University of Calgary. He holds a PhD in Electrical and Computer Engineering (National Technical University of Athens, 1997), an MScE in Geodesy and Geomatics Engineering (University of New Brunswick, 1994), and a Dipl.Eng in Rural and Surveying Engineering (National Technical University of Athens, 1992). His research focuses on Geospatial Data Science, Discrete Global Grid Systems (DGGS), GeoAI, and applications of Geomatics in natural hazards, transportation, and climate change . He has led over 140 student projects and authored/co-authored five textbooks and 150+ articles. Notable awards include the 2023 Canadian Cartographic Association’s Award of Distinction and the 2023 UCalgary Teaching Excellence Award. Recent articles emphasize high-performance trajectory analysis, DGGS integration, and geospatial quantum computing . His work bridges theoretical advancements with practical tools for flood modeling, epidemiology, and urban planning. Grants include NSERC Discovery Grants and collaborations with industry partners like McElhanney Ltd. Professional memberships span the Canadian Institute of Geomatics, Canadian Cartographic Association, and APEGA. He served as Editor-in-Chief of Cartographica (2014–2022) and actively contributes to international conferences on geoinformatics. His educational initiatives include innovative course designs in online and distance learning. Current roles include leadership in the HALOS and Geospatial Quantum Computing projects, advancing geomatics engineering education in the digital era.

Andrew J. Parkمشاهده پروفایل

استاد

• Interactive Data Analytics
• Visual Analytics
• Computational Criminology
• +۵ مورد دیگر

Andrew J. Park is a faculty member in the Computing Science department at Trinity Western University’s Faculty of Natural & Applied Sciences. His research integrates interactive data analytics, visualization, and agent-based modeling to address complex social issues in criminology, cybersecurity, and public safety. Education : PhD in Interactive Arts and Technology (Simon Fraser University, 2008), MSc in Computer Science (Loyola University Chicago, 1998), BSc in Mathematics and Physics (Sogang University, 1993 and 1991). Dr. Park specializes in 3D virtual environments for simulating criminal and crowd behaviors, leveraging AI, machine learning, and social network analysis on big data (crime statistics, Darkweb forums, AIS streams). His work informs counter-terrorism, fire egress planning, and urban security strategies. Recent publications focus on agent-based simulations for crowd control (2021) and social network analysis of illegal fishing (2020), alongside awards such as the MITACS-Accelerate Stipend (2010-2011) and multiple internal research grants (2011-2019). He teaches courses in programming, data structures, and virtual reality. Scientific Awards : Research Training Recognition Fund (2019, 2018), TRU World Internal Fund (2015), Research Enhancement Fund (2011-2012), MITACS-Accelerate Stipend (2010-2011), President’s PhD Research Stipend (2006), and Graduate Fellowships (2004, 2005).

• Geographic Information Science
• Public Health Policy
• Pandemic Ethics
• +۳ مورد دیگر

Claus Rinner is a Professor of Geography & Environmental Studies at Toronto Metropolitan University (formerly Ryerson University). He leads the RECOVER19 initiative as a nominated principal investigator, analyzing pandemic response policies. His research spans Geographic Information Science (GIS), pandemic ethics, and spatial analysis with a focus on participatory GIS (PGIS/VGI), multi-criteria decision analysis (GIS-MCDA), and open data governance. He is a co-founder of Canadian Academics for Covid Ethics and authored the 'Coronoia' book series critiquing pandemic policies. Research interests include geovisualization, spatial decision support systems, and the societal impacts of pandemic measures. His work bridges GIS methodologies with critical analyses of public health policies and authoritarian governance trends during the pandemic. Notable projects include developing heat vulnerability assessment tools and web-based geospatial platforms for community planning. Publications focus on pandemic policy critique, GIS applications in environmental monitoring, and the ethical dimensions of vaccine mandates. He maintains an active Substack blog (ClausR2020) documenting pandemic observations and co-founded The Toronto Moon (inactive) for scholarly discourse. Former roles include membership in The Ideas Institute Board of Scholars and founding roles in the Canadian Centre for Learning.

• Information Technology Strategic Needs Assessment
• Business Intelligence and Analytics
• Data Governance and Security
• +۴ مورد دیگر

Susan Romeo-Gilbert is an Instructor in the School of Business at Capilano University's Faculty of Business and Professional Studies, specializing in Business Information Management and Analytics. With over 35 years of IT experience across telecommunications, utilities, oil and gas, finance, and education sectors, she transitioned to full-time academia in 2011. Previously, she served as a Principal Platform Strategist at Microsoft Canada, leading IT strategy alignment with business objectives. Education: MSc in Geographic and Geodetic Information Systems, University College London (1994) BSc in Computer Science, University of the West Indies (1987) Post Graduate Certificates in Executive Management (Simon Fraser University) and Principles of Management (UWI) Research Focus: Her work centers on IT strategic needs assessment, business intelligence frameworks, geospatial systems integration, enterprise architecture, and sustainability in IT management. She emphasizes ethics, privacy, and strategic roadmapping for large enterprises. Consulting & Community Engagement: As an IT strategy consultant since 2006, she has advised organizations like Accenture, WorkSafe BC, and BC Hydro. She volunteers with Embrace Rwanda International Society, Vancouver Women in Technology, and local education initiatives. Teaching: Courses include Introduction to Business Information Systems, Project Management, and Advanced Analytics. She has taught at Simon Fraser University, Fraser International College, and Oracle University.

Jinhyung Leeمشاهده پروفایل

استادیار

• Transport geography
• Spatial accessibility
• Urban resilience
• +۳ مورد دیگر

Jinhyung Lee is an Assistant Professor in the Department of Geography and Environment at Western University. His research focuses on transport geography, spatial accessibility, and urban resilience, leveraging GIScience, AI, and big data to address equity and sustainability in urban systems. He teaches courses such as Transportation Geography & GIS and Geographic Data Science with Python. His work integrates real-time transit data, climate change impacts, and generative AI to improve public transit systems and urban planning. He actively supervises graduate students in topics like equity-focused accessibility analysis and AI applications in transportation. Recent publications highlight innovations in measuring urban mobility, climate resilience, and the use of large language models for geographic analysis. Lee's research emphasizes social equity in transportation accessibility, particularly through projects analyzing extreme weather exposure, transit reliability, and Opioid Treatment Program accessibility. He collaborates on interdisciplinary initiatives, including the development of the Spnaf R package for flow data analysis and the OpenGPS platform for reproducible GPS studies. His work bridges methodological innovation with practical policy implications, aiming to create equitable and resilient urban environments.

Ruth Musgraveمشاهده پروفایل

استادیار

• Physical Oceanography
• Ocean Mixing
• Internal Waves
• +۵ مورد دیگر

Ruth Musgrave is an Assistant Professor in the Department of Oceanography at Dalhousie University (Canada), affiliated with the Faculty of Science. Her research focuses on physical oceanography, including internal waves, tides, ocean mixing, and marine carbon dioxide removal strategies such as ocean alkalinity enhancement. She leads field trials in Halifax Harbour and Bedford Basin to test carbon removal technologies and refine monitoring frameworks. Education: B.Sc. Physics (Melbourne University), B.Sc. Hons Atmospheric Science (Monash University), Ph.D. Scripps Institution of Oceanography (UC San Diego). Research emphasizes energy flux dynamics in coastal systems, Arctic heat fluxes, and the application of numerical models to study ocean turbulence. Recent work evaluates large-scale ocean alkalinity enhancement (OAE) trials' effectiveness, with a focus on plume monitoring, carbon sequestration quantification, and MRV (monitoring, reporting, verification) frameworks. Her team uses advanced observational techniques like sUAS imagery and gliders to map flow dynamics in complex coastal environments. Publications (2023-2025) highlight advancements in OAE field trials, internal wave dynamics, and the interplay between topography and ocean mixing. Her work bridges theoretical models with real-world applications in climate intervention and ocean observation systems.

Michael Oppermannمشاهده پروفایل

پژوهشگر

• Human-Data Interaction
• Information Visualization
• Machine Learning
• +۹ مورد دیگر

Michael Oppermann is a researcher, data visualization developer, and co-founder of Viaduct, currently affiliated with the Austrian Institute of Technology (AIT) . His work integrates visualization, machine learning, and human-centered design to create interactive tools for data exploration and communication. He holds a PhD in Computer Science from the University of British Columbia (2021), where he collaborated with Tamara Munzner's InfoVis Group, and a Master of Business Informatics from the University of Vienna (2017). Expertise in interactive visualization, mixed-methods research, and web development Previously served as a visiting research fellow at Harvard University's Visual Computing Group Industry experience at Tableau Software and Virtual Identity as a data science consultant His research spans human-data interaction, haptics, and spatiotemporal data analysis. Publications include top venues like CHI , IEEE VIS , and EuroVis . He has contributed to projects such as VizSnippets , Haptipedia , and Bike Sharing Atlas . Awards include the Accenture Campus Innovation Challenge first place in Austria (2016) and recognition in the NaturTalente High Potential Program (2016). Michael also has extensive teaching experience, having restructured large undergraduate courses and served as a teaching assistant for human-computer interaction and visualization topics.

Douglas Woolfordمشاهده پروفایل

استاد

• Data Science
• Forest and Wildland Fire Science
• Forest Fire Management
• +۳ مورد دیگر

Douglas Woolford is a Professor of Environmetrics at the Department of Statistical and Actuarial Sciences, University of Western Ontario. His research focuses on data science, forest fire prediction, and stochastic modeling. Education: Ph.D., University of Western Ontario, 2007 Woolford's work bridges statistical methodology with practical applications in wildland fire management, risk assessment, and mathematical education. He develops predictive models for fire occurrence and suppression effectiveness, collaborating with forestry and environmental agencies. His 15 most recent publications (2025-2021) span topics like rare event prediction, fire weather interpolation methods, and industrial protocol evaluation. Articles appear in journals including Canadian Journal of Statistics , International Journal of Wildland Fire , and Environmetrics . Woolford supervises postdoctoral and graduate researchers, including Shuai You (Ph.D.), Nathan Phelps, Zixuan Yang, and others. His lab contributes to wildfire risk modeling and policy analysis in Canada.

Grant McKenzieمشاهده پروفایل

دانشیار

• Spatial Data Science
• Geographic Information Science
• Geoprivacy
• +۷ مورد دیگر

Grant McKenzie is an Associate Professor of Spatial Data Science at McGill University's Department of Geography. He leads the Platial Analysis Lab, focusing on interdisciplinary research at the intersection of geographic information science and behavioral geography. His work examines human activity patterns, geoprivacy, and urban mobility, with applications to shared micromobility services and geographic technologies. He holds a PhD from UC Santa Barbara (2015), an M. Applied Science from the University of Melbourne (2008), and a BA from the University of British Columbia (2002). Research interests include geoprivacy, spatiotemporal analysis of urban systems, and the societal impacts of geographic information technologies. His recent studies investigate gender differences in recreational running, post-pandemic transportation recovery in NYC, and socio-demographic variations in e-scooter usage. Key contributions include the PrivyTo privacy-preserving platform, the Platial k-anonymity framework, and the MODAP micromobility research platform. He has received awards such as the Emerging Scholar Award (2025) and Best Paper at GIScience 2023. Grant advises students on topics ranging from geoprivacy to mobility equity. His funded projects include studies on power outages in Quebec and micromobility infrastructure optimization in Montreal. He actively collaborates with NGOs and tech companies, bridging academic research with real-world applications.

Chul Min Yeumمشاهده پروفایل

دانشیار

• Smart Infrastructure
• Computer Vision
• Mixed/Augmented Reality
• +۶ مورد دیگر

Chul Min Yeum is an Associate Professor in the Department of Civil and Environmental Engineering at the University of Waterloo. He leads the CViSS Lab, focusing on smart infrastructure through interdisciplinary research in computer vision, sensing technologies, and artificial intelligence. His work emphasizes developing technologies for structural health monitoring, nondestructive testing, and automated inspection systems. Education: PhD from Purdue University (2016), MS/BS from KAIST (2010/2008) Research interests include smart structures, mixed/augmented reality, robotics, machine learning, and big data analytics applied to civil infrastructure. His recent work explores real-time defect quantification using RGB-D datasets, gaze-based human-robot interaction systems, and machine learning for seismic vulnerability assessments. He teaches courses like AE 121, CIVE 497, and CIVE 700, focusing on computational methods and advanced structural engineering topics. Current research funding supports collaborations with government and industry partners to advance smart infrastructure solutions. Chul Min Yeum holds Sole-Supervisory Privilege Status (SSPS) and is actively mentoring graduate students in areas like computer vision for structural assessment, automated inspection systems, and resilient infrastructure design.

Irene Vrbikمشاهده پروفایل

استادیار

• Computational Statistics
• Biostatistics
• Machine Learning
• +۷ مورد دیگر

Irene Vrbik is an Assistant Professor of Teaching in Data Science, Mathematics, and Statistics at the University of British Columbia Okanagan’s Department of Computer Science, Mathematics, Physics and Statistics. She is part of the Irving K. Barber Faculty of Science and serves as a graduate student supervisor. Her research focuses on mixture models, computational statistics, biostatistics, and applying machine learning to improve curriculum design in education. Dr. Vrbik holds a PhD from the University of Guelph (supervised by Prof. Paul McNicholas) and postdoctoral training at McGill University (with Prof. David Stephens) and UBC Okanagan (under Prof. Jason Loeppky). Her work spans statistical methodologies for genetic data analysis, radiation response quantification in medical imaging, and spatio-temporal modeling of combustion dynamics. She teaches courses in statistics and data science, emphasizing pedagogical innovation through technology integration. Her academic contributions include developing the ‘Fractionally-Supervised Classification’ framework for unifying supervised, semi-supervised, and unsupervised learning under a single statistical model.

Howard Liمشاهده پروفایل

استاد

• Robotics
• Artificial Intelligence
• Control Systems
• +۳ مورد دیگر

Howard Li is a Professor in the Department of Electrical and Computer Engineering at the University of New Brunswick's Faculty of Engineering. His research focuses on robotics, artificial intelligence, unmanned vehicles, control systems, and quantum computing. Dr. Li completed his Ph.D. at the University of Waterloo and has conducted research internationally at institutions including EPFL (Switzerland) and University of Pavia (Italy). He has industry experience developing training systems for fighter aircraft and control systems for autonomous vehicles. His research interests span robotics, autonomous systems, quantum computing, and AI applications in mechatronics. Recent publications demonstrate focus on LiDAR simulation, deep learning architectures, satellite imagery analysis, and geospatial algorithms. Dr. Li has secured over $1,000,000 in research grants from agencies including NSERC, CFI, and DRDC. He chairs the IEEE Autonomous Robotics Group and contributed to the first IEEE robotics standard. Harrison McCain Foundation Young Scholars Award NSERC Postgraduate Scholarship IEEE Senior Member recognition He established the COBRA research group and open-source Quad Rotor Simulator. All his former postdocs/PhDs secured positions at prestigious institutions including MIT and NASA.