Nadia Lahrichi, Université de Montréal

Research

Read how they describe their research on their Université de Montréal profile.

Healthcare Metaheuristics Optimization Patient flow Scheduling

Latest papers

Type 1 Simple Assembly Line Balancing Machine Learning dataset
Zenodo (CERN European Organization for Nuclear Research) · 2026
Type 1 Simple Assembly Line Balancing Machine Learning dataset
PolyPublie (École Polytechnique de Montréal) · 2026
From Historical Templates to Hints: Selecting Effective Initializations for the Rack-Loading Problem
Lecture notes in computer science · 2026

All 80 publications

Latest funding

Priorisation des soins intensifs en contexte extrême de pandémie : 1) modélisation/simulation de différentes stratégies de priorisation de l'accès aux soins intensifs et 2) délibérations démocratiques des parties prenantes sur les valeurs qui sous-tendent les modèles et leurs impacts sanitaires.
CIHR · 2021 · Co-investigator
$209,457
Methods and analytical tools to optimize patient flow
NSERC · 2020 · Principal investigator
$215,000
NSERC CREATE in Responsible Health and Healthcare Data Science
NSERC · 2019 · Co-investigator
$1,650,000

All 7 grants and awards

80 publications.

01

Type 1 Simple Assembly Line Balancing Machine Learning dataset

Joseph Orion Thompson, Nadia Lahrichi, Simon Thevenin

Zenodo (CERN European Organization for Nuclear Research)2026Open Access

DOI: 10.5281/zenodo.19738379

02

Type 1 Simple Assembly Line Balancing Machine Learning dataset

Joseph Orion Thompson, Nadia Lahrichi, Simon Thevenin

PolyPublie (École Polytechnique de Montréal)2026Open Access

DOI: 10.5281/zenodo.19738378

03

From Historical Templates to Hints: Selecting Effective Initializations for the Rack-Loading Problem

Thaïs Souyri, Nadia Lahrichi, Louis-Martin Rousseau

Lecture notes in computer science2026

DOI: 10.1007/978-3-032-27242-3_33

04

Enhancing laboratory testing capacity: strategies for pandemic preparedness.

Gralla E, Lahrichi N, Côté F, El Hage J, Govindakarnavar A, Del Rio Vilas VJ

Health care management science2026

DOI: 10.1007/s10729-026-09755-9 PMID: 41817781

05

Within-laboratory SARS-CoV-2 real time PCR testing operations in Nepal: a simulation-based analysis.

Côté FL, Lahrichi N, Gralla E, Bakker H, Krishnakumari PK, Gromicho J, Govindakarnavar A, Jha R, Shrestha L, Bhusal N, Shrestha S, Mulmi R, Jha P, Samuel R, Naidoo D, Del Rio Vilas VJ

The Lancet regional health. Southeast Asia20254 citationsOpen Access

DOI: 10.1016/j.lansea.2025.100584 PMID: 40337599

06

Hospital Bed Management Modelling: A Conceptual Framework

Alberto Montañola Lacort, Nadia Lahrichi, Julien Maheut

Lecture notes in computer science2025

DOI: 10.1007/978-3-031-78241-1_16

07

Matheuristique pour le routage et la planification de soignants à domicile sous incertitudes

Paul Fleurance, Nadia Lahrichi, Olivier Péton, María I Restrepo

PolyPublie (École Polytechnique de Montréal)2025Open Access

08

Discrete Event Simulation for Hospital Inpatient Flow Modelling: A Review of Validation Methods

Alberto Montañola Lacort, Julien Maheut, Nadia Lahrichi

Lecture notes on data engineering and communications technologies2025Senior author

DOI: 10.1007/978-3-031-82334-3_115

09

Learning tabu search algorithms: A scheduling application

Nazgol Niroumandrad, Nadia Lahrichi, Andrea Lodi

Computers & Operations Research202417 citationsOpen Access

DOI: 10.1016/j.cor.2024.106751

10

Novel Preoperative Risk Stratification Using Digital Phenotyping Applying a Scalable Machine-Learning Approach.

Laferrière-Langlois P, Imrie F, Geraldo MA, Wingert T, Lahrichi N, van der Schaar M, Cannesson M

Anesthesia and analgesia20247 citationsOpen Access

DOI: 10.1213/ane.0000000000006753 PMID: 38051671

Priorisation des soins intensifs en contexte extrême de pandémie : 1) modélisation/simulation de différentes stratégies de priorisation de l'accès aux soins intensifs et 2) délibérations démocratiques des parties prenantes sur les valeurs qui sous-tendent les modèles et leurs impacts sanitaires.

Co-investigatorCIHR2021Op. Gr.:Emerg. COVID-19 Res. Gaps & Priorities - Healthcare Resource Allocation

Principal investigators: Bouthillier, Marie-Eve

Keywords: Allocation Des Ressources; Dialogue Démocratique; Justice Distributive; Pandémie Covid-19; Priorisation; Pénurie; Simulation; Soins Intensifs; Triage; Équité

$209,457

Methods and analytical tools to optimize patient flow

Principal investigatorNSERC2020Discovery Grants Program - Individual

Principal investigators: Lahrichi, Nadia

Keywords: healthcare; patient flow; optimization; metaheuristics; scheduling

$215,000

NSERC CREATE in Responsible Health and Healthcare Data Science

Co-investigatorNSERC2019Collaborative Research and Training Experience

Principal investigators: Després, Philippe P

Keywords: clinical decision support systems; confidentiality; data science; ethics; health and healthcare data; legal and social issues; non disclosive analysis; patient facing applications; privacy by design; responsible artificial intelligence

$1,650,000

Planification intégrée des horaires de technologues et de rendez-vous de patients en clinique ambulatoire********

Principal investigatorNSERC2018Engage Grants Program

Principal investigators: Lahrichi, Nadia

$25,000

Workforce sizing and scheduling in Telemedecine

Principal investigatorNSERC2017Engage Grants Program

Principal investigators: Lahrichi, Nadia

$25,000

Modèles prédictifs et outils d'aide à la décision pour la gestion des rendez-vous de patients

Principal investigatorNSERC2016Engage Grants Program

Principal investigators: Lahrichi, Nadia

$25,000

Methods and analytical tools for patient flow optimization

Principal investigatorNSERC2014Discovery Grants Program - Individual

Principal investigators: Lahrichi, Nadia

$150,000

From public funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998 with their latest competition results, the Canada Foundation for Innovation, Genome Canada, the Canadian Space Agency, Canada Research Chairs, the Fonds de recherche du Québec, Ontario research funding, Michael Smith Health Research BC, the Canadian Cancer Society, Heart & Stroke and Brain Canada.

Frequent collaborators

Teodor Crainic and Michel Gendreau: 92 shared papers
Louis-Martin Rousseau and Michel Gendreau: 44 shared papers
Jason Guertin and Simon Berthelot: 42 shared papers
Walter Rei and Teodor Crainic: 41 shared papers
Walter Rei and Michel Gendreau: 38 shared papers
Bernard Gendron and Teodor Crainic: 26 shared papers
Thibaut Vidal and Michel Gendreau: 21 shared papers
Louis-Martin Rousseau and Nadia Lahrichi: 16 shared papers
Thibaut Vidal and Teodor Crainic: 16 shared papers
Marie-Chantal Fortin and Héloïse Cardinal: 13 shared papers
Louis-Martin Rousseau and Bernard Gendron: 12 shared papers
Alain Hertz and Michel Gendreau: 11 shared papers
Louis-Martin Rousseau and Andrea Lodi: 9 shared papers
Céline Gélinas and Philippe Richebé: 8 shared papers
Alain Hertz and Bernard Gendron: 8 shared papers
Louis-Martin Rousseau and Antoine Legrain: 7 shared papers
Michel Gendreau and Nadia Lahrichi: 7 shared papers
Héloïse Cardinal and Andrea Lodi: 6 shared papers
Antoine Legrain and Nadia Lahrichi: 6 shared papers
Alain Hertz and Nadia Lahrichi: 6 shared papers
Walter Rei and Nadia Lahrichi: 6 shared papers
Teodor Crainic and Nadia Lahrichi: 6 shared papers
Simon Berthelot and Yves Longtin: 5 shared papers
Jason Guertin and Yves Longtin: 4 shared papers
Jason Guertin and Diego Mantovani: 4 shared papers
Simon Berthelot and Diego Mantovani: 4 shared papers
François Carrier and Philippe Richebé: 4 shared papers
Andrea Lodi and Alain Hertz: 4 shared papers
Jason Guertin and Annie Leblanc: 3 shared papers
Jason Guertin and Lynda Bélanger: 3 shared papers
Simon Berthelot and Lynda Bélanger: 3 shared papers
François Carrier and Héloïse Cardinal: 3 shared papers
Andrea Lodi and Thibaut Vidal: 3 shared papers
Andrea Lodi and Nadia Lahrichi: 3 shared papers
Thibaut Vidal and Nadia Lahrichi: 3 shared papers
Céline Gélinas and Nadia Lahrichi: 2 shared papers
Jason Guertin and Sergey Mikhaylin: 2 shared papers
Jason Guertin and Nadia Lahrichi: 2 shared papers
Annie Leblanc and Simon Berthelot: 2 shared papers
Annie Leblanc and Yves Longtin: 2 shared papers
Annie Leblanc and Diego Mantovani: 2 shared papers
Annie Leblanc and Sergey Mikhaylin: 2 shared papers
Annie Leblanc and Nadia Lahrichi: 2 shared papers
Annie Leblanc and Lynda Bélanger: 2 shared papers
Simon Berthelot and Sergey Mikhaylin: 2 shared papers
Simon Berthelot and Nadia Lahrichi: 2 shared papers
Yves Longtin and Nadia Lahrichi: 2 shared papers
Diego Mantovani and Nadia Lahrichi: 2 shared papers
Louis-Martin Rousseau and Jean-Marc Frayret: 2 shared papers
Nadia Lehoux and Nadia Lahrichi: 2 shared papers
Jean-Marc Frayret and Nadia Lahrichi: 2 shared papers
Sergey Mikhaylin and Nadia Lahrichi: 2 shared papers
Valérie Bélanger and Nadia Lahrichi: 2 shared papers
Philippe Richebé and Nadia Lahrichi: 2 shared papers
Nadia Lahrichi and Lynda Bélanger: 2 shared papers
Marie-Chantal Fortin and François Carrier: 1 shared paper
Marie-Chantal Fortin and Nadia Lahrichi: 1 shared paper
Céline Gélinas and Simon Berthelot: 1 shared paper
François Carrier and Nadia Lahrichi: 1 shared paper
Héloïse Cardinal and Nadia Lahrichi: 1 shared paper
Nadia Lehoux and Jean-Marc Frayret: 1 shared paper
Bernard Gendron and Nadia Lahrichi: 1 shared paper

Département d’informatique et de recherche opérationnelle
Département de médecine
Mathématiques et Génie Industriel - École Polytechnique de Montréal
MAGI
Mathématique et Génie Industriel
Département d’analytique, opérations et technologies de l’information
Mathematics and Industrial Engineering - École Polytechnique de Montréal
Other

Co-authors at Université de Montréal, colored by department. Thicker lines mean more shared papers; select anyone to open their profile and their own map.

Louis-Martin Rousseau

Mathématiques et Génie Industriel - École Polytechnique de Montréal

16 shared papers, latest 2022

Michel Gendreau

Département d’informatique et de recherche opérationnelle

7 shared papers, latest 2019

Teodor Crainic

Département d’informatique et de recherche opérationnelle

6 shared papers, latest 2015

Walter Rei

Département d’analytique, opérations et technologies de l’information

6 shared papers, latest 2015

Alain Hertz

MAGI

6 shared papers, latest 2009

Antoine Legrain

Mathématique et Génie Industriel

6 shared papers, latest 2024

Lawrence Rosenberg

Department of Surgery

3 shared papers, latest 2016

Andrea Lodi

Mathematics and Industrial Engineering - École Polytechnique de Montréal

3 shared papers, latest 2024

Thibaut Vidal

Mathematics and Industrial Engineering

3 shared papers, latest 2015

Lynda Bélanger

Sciences infirmières

2 shared papers, latest 2023

Sergey Mikhaylin

Institut sur la nutrition et les aliments fonctionnels

2 shared papers, latest 2023

Valérie Bélanger

Department of Logistics and Operations Management

2 shared papers, latest 2020

Nadia Lehoux

Centre interuniversitaire de recherche sur les réseaux d'entreprise, la logistique et le transport

2 shared papers, latest 2023

Philippe Richebé

Département d’anesthésiologie et de médecine de la douleur

2 shared papers, latest 2022

Yves Longtin

Department of Medicine

2 shared papers, latest 2023

Céline Gélinas

Ingram School of Nursing

2 shared papers, latest 2022

Jean-Marc Frayret

Mathématiques et génie industriel

2 shared papers, latest 2017

Annie Leblanc

VITAM - Centre de recherche en santé durable (Reconnu FRQ - secteur santé)

2 shared papers, latest 2023

Diego Mantovani

Centre de recherche sur les matériaux avancés

2 shared papers, latest 2023

Simon Berthelot

Family Medicine and Emergency Medicine

2 shared papers, latest 2023

Jason Guertin

Centre de recherche en organogenèse expérimentale

2 shared papers, latest 2023

Write to this professor

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Applying for

Paper to mentionMention their NSERC grant from 2020

Subject: Prospective PhD student: Healthcare Dear Professor Lahrichi, 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 "Type 1 Simple Assembly Line Balancing Machine Learning dataset" (2026), 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 NSERC-funded project "Methods and analytical tools to optimize patient flow" (2020), 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]