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

A Spatial Agent-Based Model to Assess the Spread of Malaria in Relation to Anti-Malaria Interventions in Southeast Iran. - Navid Mahdizadeh Gharakhanlou; Navid Hooshangi; Marco Helbich (ISPRS Int. J. Geo Inf., 2020)

Spatial Prediction of Current and Future Flood Susceptibility: Examining the Implications of Changing Climates on Flood Susceptibility Using Machine Learning Models. - Navid Mahdizadeh Gharakhanlou; Liliana Pérez (Entropy, 2022)

Geocomputational Approach to Simulate and Understand the Spatial Dynamics of COVID-19 Spread in the City of Montreal, QC, Canada. - Navid Mahdizadeh Gharakhanlou; Liliana Pérez (ISPRS Int. J. Geo Inf., 2022)

Mapping Crop Types for Beekeepers Using Sentinel-2 Satellite Image Time Series: Five Essential Crops in the Pollination Services. - Navid Mahdizadeh Gharakhanlou; Liliana Pérez; Nico Coallier (Remote. Sens., 2024)

Urban buzz or urban bust? Beekeeping challenges, suitability, and survival insights in Montreal, Canada. - Navid Mahdizadeh Gharakhanlou; Julien Vadnais; Liliana Pérez; Nico Coallier (Ecol. Informatics, 2025)

A Novel Context-Aware Douglas-Peucker (CADP) Trajectory Compression Method. - Saeed Mehri; Navid Hooshangi; Navid Mahdizadeh Gharakhanlou (ISPRS Int. J. Geo Inf., 2025)