Amina Lamghari, Université du Québec à Trois-Rivières

Research

Algorithms and simulations Circular economy Logistics Machine learning techniques Mathematical programming Metaheuristics Recycling and urban mining Solid waste management

Latest funding

From mine to client: improving the performance, robustness and resilience of mineral supply chain logistics systems
NSERC · 2022 · Principal investigator
$135,000
Integrating waste and resource management: Data-driven optimization of urban mining logistics
NSERC · 2019 · Principal investigator
$156,000
Integrating waste and resource management: Data-driven optimization of urban mining logistics
NSERC · 2019 · Principal investigator
$12,500

All 3 grants and awards

From mine to client: improving the performance, robustness and resilience of mineral supply chain logistics systems

Principal investigatorNSERC2022Alliance Grants

Principal investigators: Lamghari, Amina A

Keywords: data analytics; digital intelligence; information technology; logistics and transport; mineral supply chains; optimisation; uncertainty and risk management

$135,000

Integrating waste and resource management: Data-driven optimization of urban mining logistics

Principal investigatorNSERC2019Discovery Grants Program - Individual

Principal investigators: Lamghari, Amina

Keywords: logistics; supply chain management; solid waste management; recycling and urban mining; circular economy; mathematical programming; stochastic optimization; metaheuristics; algorithms and simulations; machine learning techniques

$156,000

Integrating waste and resource management: Data-driven optimization of urban mining logistics

Principal investigatorNSERC2019Discovery Launch Supplement

Principal investigators: Lamghari, Amina

$12,500

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

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Applying for

Mention their NSERC grant from 2022

Subject: Prospective PhD student: Algorithms and simulations Dear Professor Lamghari, 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]. Your research on algorithms and simulations 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 NSERC-funded project "From mine to client: improving the performance, robustness and resilience of mineral supply chain logistics systems" (2022), 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]