Navid Mahdizadeh Gharakhanlou

Université de Montréal
Ph.D. candidate
Supervisor: Liliana Perez
Start: 2021-09-01

Project

Using machine learning models and the agent-based modeling approach to study geo-spatial and socio-ecological processes

Publications

1- DEVELOPING A CELLULAR AUTOMATA MODEL FOR SIMULATING RAINFALL-RUNOFF PROCESS (CASE STUDY: BABOL CATCHMENT)
Mahdizadeh Gharakhanlou, N., M. S. Mesgari
2019 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences

2- Developing an agent-based model for simulating the dynamic spread of Plasmodium vivax malaria: A case study of Sarbaz, Iran
Mahdizadeh Gharakhanlou, Navid, Mohammad Saadi Mesgari, Navid Hooshangi
2019 Ecological Informatics

3- Spatio-temporal simulation of the novel coronavirus (COVID-19) outbreak using the agent-based modeling approach (case study: Urmia, Iran)
Mahdizadeh Gharakhanlou, Navid, Navid Hooshangi
2020 Informatics in Medicine Unlocked

4- Dynamic simulation of fire propagation in forests and rangelands using a GIS-based cellular automata model
Gharakhanlou, Navid Mahdizadeh, Navid Hooshangi
2021 International Journal of Wildland Fire

5- A Spatial Agent-Based Model to Assess the Spread of Malaria in Relation to Anti-Malaria Interventions in Southeast Iran
Gharakhanlou, Navid Mahdizadeh, Navid Hooshangi, Marco Helbich
2020 ISPRS International Journal of Geo-Information