Liliana Perez, Université de Montréal

Research

Active Transportation Agent Based Modelling Climate Change Environmental Equity Greening Programs Housing Policies Mental Models Participatory Research

Latest papers

Assessing foraging landscape quality in Quebec's commercial beekeeping through remote sensing, machine learning, and survival analysis.
Journal of environmental management · 2025
Evaluating environmental, weather, and management influences for sustainable beekeeping in California and Quebec: Enhancing beehive survival predictions.
Journal of environmental management · 2025
From data to harvest: Leveraging ensemble machine learning for enhanced crop yield predictions across Canada amidst climate change.
The Science of the total environment · 2024 · senior author

All 6 publications

Latest funding

Supporting climate change interventions for urban health and equity: A participatory complex system perspective
CIHR · 2024 · Principal investigator
$1,977,525
Combining Geospatial AI (GeoAI), Complex Systems Science and GIScience methods to develop decision-making tools for a sustainable management of urban and peri-urban landscape
NSERC · 2024 · Principal investigator
$43,000
Complex Systems Approach for Studying Spatiotemporal Patterns of Disturbance as a Result of Climate Change
NSERC · 2016 · Principal investigator
$224,000

All 3 grants and awards

6 publications.

01

Assessing foraging landscape quality in Quebec's commercial beekeeping through remote sensing, machine learning, and survival analysis.

Vadnais J, Perez L, Coallier N

Journal of environmental management2025

DOI: 10.1016/j.jenvman.2025.124157 PMID: 39837138

02

Evaluating environmental, weather, and management influences for sustainable beekeeping in California and Quebec: Enhancing beehive survival predictions.

Mahdizadeh Gharakhanlou N, Perez L, Henry E

Journal of environmental management2025

DOI: 10.1016/j.jenvman.2024.123783 PMID: 39705995

03

From data to harvest: Leveraging ensemble machine learning for enhanced crop yield predictions across Canada amidst climate change.

Mahdizadeh Gharakhanlou N, Perez L

The Science of the total environment2024Senior author

DOI: 10.1016/j.scitotenv.2024.175764 PMID: 39182775

04

Spatial Prediction of Current and Future Flood Susceptibility: Examining the Implications of Changing Climates on Flood Susceptibility Using Machine Learning Models.

Mahdizadeh Gharakhanlou N, Perez L

Entropy (Basel, Switzerland)2022Senior author

DOI: 10.3390/e24111630 PMID: 36359720

05

Spatiotemporal analysis of the housing bubble's contribution to the proliferation of illegal landfills - The case of Gran Canaria.

Quesada-Ruiz LC, Perez L, Rodriguez-Galiano V

The Science of the total environment2019

DOI: 10.1016/j.scitotenv.2019.06.079 PMID: 31203008

06

A geospatial agent-based model of the spatial urban dynamics of immigrant population: A study of the island of Montreal, Canada.

Perez L, Dragicevic S, Gaudreau J

PloS one2019First author

DOI: 10.1371/journal.pone.0219188 PMID: 31339900

Supporting climate change interventions for urban health and equity: A participatory complex system perspective

Principal investigatorCIHR2024Project Grant

Principal investigators: Kestens, Yan; Perez, Liliana

Keywords: Active Transportation; Agent Based Modelling; Climate Change; Environmental Equity; Greening Programs; Housing Policies; Mental Models; Participatory Research; Systems Science; Urban Health

$1,977,525

Combining Geospatial AI (GeoAI), Complex Systems Science and GIScience methods to develop decision-making tools for a sustainable management of urban and peri-urban landscape

Principal investigatorNSERC2024Discovery Grants Program - Individual

Principal investigators: Perez, Liliana

Keywords: geospatial artificial intelligence (geoai); geocomputation; geographic information science; complex systems; big data; machine learning; urban environmental sustainability; urban environmental management; environmental carrying capacity; spatiotemporal modeling and simulation

$43,000

Complex Systems Approach for Studying Spatiotemporal Patterns of Disturbance as a Result of Climate Change

Principal investigatorNSERC2016Discovery Grants Program - Individual

Principal investigators: Perez, Liliana

$224,000

From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.

Write to this professor

A short, specific email works best. This draft uses one of their recent papers; replace the parts in brackets with your own details before sending.

Applying for

Paper to mentionMention their CIHR grant from 2024

Subject: Prospective PhD student: Active Transportation Dear Professor Perez, My name is [your name], and I am a [your current degree or role] at [your institution]. I am applying for a PhD position starting in [term and year]. I read your paper "Assessing foraging landscape quality in Quebec's commercial beekeeping through remote sensing, machine learning, and survival analysis." (2025), and it connects closely to my own work on [your research topic]. [One or two sentences on what you did and what you learned.] I also saw your CIHR-funded project "Supporting climate change interventions for urban health and equity: A participatory complex system perspective" (2024), and I would be glad to contribute to work in that direction. Are you accepting new PhD students for [term and year]? I have attached my CV and transcripts, and I would be glad to talk at a time that suits you. Thank you for your time. Kind regards, [your name]