Optimization

Radiotherapy treatment planning
Automating the design and validation of radiotherapy treatment plans to better treat cancer
Single-entry waitlist surgical scheduling
Scheduling surgeries in a central waitlist across multiple collaborating hospitals and surgeons to maximize total surgeries and minimize wait times
Kidney paired donations
Matching pools of kidney patients to eligible donors to maximize total transplants
Pandemic modeling and planning
Predicting pandemic disease spread through very large agent-based simulations and optimizing mitigation strategies through graph theory and machine learning
A row-generation approach for simultaneous multiple needle trajectory planning in radiofrequency ablation
Radiofrequency ablation is a thermal therapy for moderately-sized cancerous tumors. A target is killed with high temperatures obtained …
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Increased surgical capacity without additional resources: Generalized operating room planning and scheduling
We study a generalized operating room planning and scheduling (GORPS) problem at the Toronto General Hospital (TGH) in Ontario, Canada. …
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Inverse planning for radiofrequency ablation in cancer therapy using multiple damage models
Radiofrequency ablation (RFA) offers localized and minimally invasive treatment of small-to-medium sized inoperable tumors. In RFA, …
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Logic-based benders decomposition and binary decision diagram based approaches for stochastic distributed operating room scheduling
The distributed operating room (OR) scheduling problem aims to find an assignment of surgeries to ORs across collaborating hospitals …
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A branch-and-price algorithm enhanced by decision diagrams for the kidney exchange problem
Kidney paired donation programs allow patients registered with an incompatible donor to receive a suitable kidney from another donor, …
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Branch-and-check methods for multi-level operating room planning and scheduling
We develop the first exact decomposition approaches for a multi-level operating room planning and scheduling problem that integrates …
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