Research
My research mainly focuses on
​
-
Geoamtics | Methods and Applications
-
Geographical Information Technology (focus on tracking of moving objects and location based services)
-
Knowledge Discovery Methods for Spatiotemporal Data
-
Computational Spatiotemporal Analytics
-
Modeling and Simulation of Dynamic Phenomena
-
Information Visualization and Geovisualization
-
Smart Cities
-
Urban Sustainability
Sustainability Dashboard
Developing the Sustainability Dashboard for the City of Montreal. The Adapting Urban Environments Research Theme for the McGill Sustainability Systems Initiative (MSSI) includes as a centrepiece the creation of a sustainability dashboard for Montreal. The need for a dashboard is premised on the idea that it is critical to track, understand and respond to how urban environments impact upon sustainability. If a city like Montreal can be rendered sustainable within planetary boundaries, its experience along with other cities seeking the same objective could be extended to a planetary scale. Enabling citizens of the city to interact in real time with a comprehensive dashboard of the city’s impact footprint raises the prospect of transformative change in planning and behaviour
MobiliSIG
The Social participation for people with disabilities is a major challenge for society. According to Health Canada, more than 3,300,000 Canadians are affected by a disability that affects their health. Only in the province of Quebec are there more than 125,000 people living with a physical disability who have to travel with a wheelchair. For the vast majority of these people, the ability to move autonomously is essential to their daily activities and to fulfilling their social commitments. On the other hand, the mobility of these people is affected by their handicap but also by the various obstacles of their environment. This research initiative aims to design and develop a multimodal technological solution for mobility assistance for people who use a manual wheelchair in an urban context.
Exploring Spatiotemporal Patterns of Runners: Foot - Orienteering Class. The aim of this project is developing exploratory and analytical methods to discover patterns of runners and then, generate new hypotheses on the relationships between runner’s movement behavior and the geographical context. We propose an approach to explore movement patterns of each individual runner taking into account changes in runner attributes (e.g. speed and heart rate) through a competition. The applicability of our method is tested using running data of a foot – orienteering.
Patterns in Space and Time
In this study, We participated in development of a technique to analyze movement patterns of dancers and link their movements to the quality of performances. The method was established based on Qualitative Trajectory Calculus (QTC) concept, i.e. a qualitative calculus to represent and reason about moving objects. This research involved constructing and segmenting movement trajectories of body parts, mining the constructed trajectories to detect movement patterns such as periodic patterns, and then interpreting performances on the basis of revealed dance movement patterns.
Disaster Management
Agent-based simulations enable the simulation of social phenomena by representing human behaviors. These social phenomena are all behavior that influences or is influenced by humans to respond to one another. Human actions such as evacuating to safe havens or emergency response in disaster areas are important during earthquakes. We proposed a method to find optimum routes for rescue operation teams after earthquake using intelligent multi-agents simulated in Robocup Rescue Simulation Platform. To simulate the impact of the earthquake, fire spread and developed in some critical points (e.g. fuel pumps) as a dynamic environment. The rate of destruction to buildings and roads due to earthquake were applied to the map of simulation. Pathfinding after earthquake takes place with uncertainties related to time, geospatial data, and decision making process.