Faculty profile
Joe Naoum-Sawaya
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Research
Latest papers
Predicting Ischemic Stroke Patients to Transfer for Endovascular Thrombectomy Using Machine Learning: A Case Study.
Healthcare (Basel, Switzerland) · 2025
Latest funding
- $43,000
Strategic and Tactical Optimization Models for Electric Vehicles Logistics Fleets
NSERC · 2024 · Principal investigator
- $37,651
Developing a Robust Framework For Choice-Based Conjoint Analysis
SSHRC · 2022 · Principal investigator
- $75,000
Design of optimal e-commerce networks with autonomous airplanes to serve remote communities
NSERC · 2022 · Co-investigator
1 publications.
Predicting Ischemic Stroke Patients to Transfer for Endovascular Thrombectomy Using Machine Learning: A Case Study.
Kamal N, Han JH, Alim S, Taeb B, Devpura A, Aljendi S, Goldstein J, Fok PT, Hill MD, Naoum-Sawaya J, Cora EA
Strategic and Tactical Optimization Models for Electric Vehicles Logistics Fleets
Principal investigators: Naoum-Sawaya, Joe
Keywords: integer programming; optimization; vehicle routing; network design
Developing a Robust Framework For Choice-Based Conjoint Analysis
Principal investigators: Naoum-Sawaya, Joe
Keywords: conjoint analysis; choice based models; robust optimization
Design of optimal e-commerce networks with autonomous airplanes to serve remote communities
Principal investigators: Alumur Alev, Sibel SAA
Keywords: autonomous airplanes; e-commerce; hub network design; logistics network design; optimization
Developing a Robust Framework For Choice-Based Conjoint Analysis
Principal investigators: Naoum-Sawaya, Joe
Keywords: conjoint analysis; choice based models; robust optimization
Solution of optimization problems for group decision making
Principal investigators: Fukasawa, Ricardo
Optimizing Future Mobility Systems
Principal investigators: Naoum-Sawaya, Joe
Keywords: Decomposition Methods; Integer Programming; Network Design; Vehicle Routing
From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.
Frequent collaborators
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