Interdisciplinary Workshop on Geospatial Computing

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Krista Amolins Krista Amolins is a Higher Education Developer and Analyst in the Education and Research group at Esri Canada. She is also currently completing her PhD in Geomatics Engineering at the University of New Brunswick. Her primary research interest is airborne LiDAR but she is also interested in web and mobile app development. placeholder-person
Jennifer Baltzer Jenn is an Associate Professor in Biology at Wilfrid Laurier University and a Canada Research Chair in Forests and Global Change. She runs the Forest Ecology Research Group which focuses on the functional basis of plant species distributions. Trade-offs between stress tolerance and performance contribute strongly to species distributions and may provide a more general basis for species range sizes and patterns of local distribution. We focus on forest ecosystems including tropical, temperate and boreal forests.  jb
Andrew Davidson Dr. Andrew Davidson is the Manager of Earth Observation, an operational remote sensing group that operates within Agriculture and Agri-Food Canada’s (AAFC) Agri-Climate Geomatics and Earth Observation Division (ACGEO). He is responsible for leading the development and implementation of operational remote sensing systems for agricultural monitoring to support AAFC’s activities and programs. Dr Davidson is also an Adjunct Research Professor in the Department of Geography and Environmental Studies at Carleton University, where he has taught and supervised students since 2003. His published research has focused primarily on the integration of spectral data (ground radiometry, airborne and satellite imagery) with other types of geospatial information for characterizing, modeling and understanding landscape dynamics and processes through both space and time. This work has been published in peer-reviewed science journals, including The Canadian Journal of Remote Sensing, Remote Sensing of Environment, Agricultural and Forest Meteorology, the International Journal of Applied Earth Observation and GeoInformation, the Journal of Geophysical Research, Community Ecology, Environmetrics and the International Journal of Climatology. andrew_davidson
Carson Farmer Carson is Associate Director of the Center for Advanced Research of Spatial Information (CARSI) and Assistant Professor of GIScience at Hunter College, City University of New York. Carson’s research interests span a wide range of topics in urban and spatial analysis, with a focus on spatial-temporal dynamics, complexity, and spatial interaction. Carson has been an active developer in several open source GIS projects. cf
Bahram Gharabaghi Dr. Gharabaghi’s research has primarily been focused on watershed scale water quality models to improve the accuracy of calculations of these management tools for protection of source waters from further degradation and to develop effective strategies for improvement of the quality of impaired water bodies in Ontario. He has more than ten years of experience in research and development in hydrologic modelling and non-point source pollution control in Canada and internationally. He has conducted studies for several large-scale mining projects around the world, including the Goro project in New Caledonia, the Alto Chicama project in Peru, and the Voisey’s Bay project in Labrador, Canada. Dr. Gharabaghi is currently leading several research projects in collaboration with Conservation Authorities, Ministry of Environment, Ministry of Natural Resources, and Ministry of Agriculture. bahram_gharabaghi
Dan Gillis Dan Gillis is an Assistant Professor and Statistician in the School of Computer Science at the University of Guelph. He completed his Ph.D. thesis, entitled ‚Multivariate Poisson Spatial Mixtures With Applications In Disease Source Classification‚ in 2010. In that work, he presented new methodologies for analyzing spatially correlated longitudinal disease count data theoretically drawn from 2 or more mixing densities within a Bayesian framework. While the methods were specific to epidemiological data, they could easily be extended to other problems requiring data classification or cluster identification. He has spent the bulk of his training and career working on multidisciplinary teams which have focused on public health assessment, and natural resource management. This has included collaborative projects with the Public Health Agency of Canada, Statistics Canada, Health Canada, Environment Canada, B.C. Cancer Agency, the Government of Brazil, the Saugeen Ojibway First Nations, McGill University, Laurentian University, and numerous departments within the University of Guelph including Integrative Biology, Cell Biology, the O.V.C., and Engineering. dan_gillis
Steve Grise Steve Grisé has over 20 years of experience designing and building solutions with Geospatial technologies. He worked at Esri in California, Convergent Group in Denver, and for the last 5 years has run a small consulting firm called Vertex3 based in Waterloo, Ontario. Lately he has been working on a new technology called the Gizinta Sync Engine, and he is implementing it at several university campuses to build Geo-databases from floorplan drawings. steve_grise
Nicole Rabe Nicole Rabe is a Land Resource Specialist with the Environmental Management Branch at OMAF and MRA. She has an M.Sc. Geography. Her thesis research was on the use of advanced remote sensing analytical techniques for precision agriculture. Prior to joining OMAF she was an instructor in the School of Agriculture & Environment at Assiniboine Community College, Brandon, Manitoba. Her current role at OMAF is to provide geospatial support for soil and Canada Land Inventory map renewal in the province. Nicole has been actively engaged in precision agriculture services &/or applied research projects in Ontario and in Western Canada since the mid-1990 nicole_rabe
Tarmo Remmel Tarmo is an Associate Professor of Geography at York University and is most interested in the spatial patterns produced by wildfires in boreal forests. His work focuses on the measurement, characterization, and comparison of these patterns and particularly in developing open source software tools that facilitate these tasks. While primarily concerned with data obtained from optical remote sensing satellites, he also has experience with LiDAR and is branching into UAV-based data acquisition. These directions are also tightly coupled with the theoretical analysis of uncertainty in an effort to improve our understanding of measurement variability and expectations surrounding stated metrics. In his quest to convert the masses, he is developing a series of R workshops for graduate students to give them options beyond the standard tools that ship with most computers (read into that what you wish). tarmo3
Martin Sykora I am a Lecturer in Information Management (equivalent to Assistant Professor) at the Centre for Information Management (CIM), formerly the Information Science department at the University of Loughborough, School of Business and Economics. My current research interests are in the area of social-media / big-data analytics, natural language processing, semantic web, information management and information retrieval. MartinSykoraMugshot
Matthew Tenney My research broadly straddles related fields within human geography and geographic information science. I have a particular interest concerning the implications of digital information technologies as they integrate into our daily lives and potentially alter forms of participatory governance.Working with Esri Canada Inc. through a Mitacs PhD fellowship, we are building a series of web-harvesting tools to aggregate, classify, and repackage user-generated content. The goals of this project are to explore the use of hyper-local web content as a spatial support system that can provide real-time feedback in domains such as urban planning, policy formation, and community representation.Currently, I am pursuing my PhD at McGill University under the supervision of Prof. Renee Sieber. I completed a MA in Geography while working at the University of Arkansas’ Center for Advanced Spatial Technologies (CAST). At CAST, my work primarily focused on formalizing models of spatial cognition for simulating indoor-wayfinding. tenney_photo