Dionne Aleman is an Associate Professor in the Department of Mechanical & Industrial Engineering at the University of Toronto. She received her PhD in Industrial and Systems Engineering from the University of Florida (2007), MSc from the University of Florida (2006), and BSc from the University of Florida (2003).
Dr. Aleman's research interests are in the application of operations research to medical and healthcare systems. This research includes using mathematical optimization models to design radiation therapy treatment plans, using agent-based simulation to predict the spread of a pandemic disease in an urban population, using graph theory to determine vaccination priorities during a pandemic, and using optimization and simulation to improve hospital surgical scheduling.
Planning Capacity for Mental Health and Addiction Services in the Emergency Department: A Discrete-Event Simulation Approach.
J Healthc Eng. 2019;2019:8973515
Analysis of emergency department length of stay for mental health visits: a case study of a Canadian academic hospital - ERRATUM.
CJEM. 2019 May 22;:1
Phys Med Biol. 2018 Dec 11;:
Analysis of emergency department length of stay for mental health visits: A case study of a Canadian academic hospital.
CJEM. 2018 Aug 28;:1-10
Modeling and comparison of alternative approaches for sector duration optimization in a dedicated radiosurgery system.
Phys Med Biol. 2018 Jul 04;:
Guided Undersampling Classification for Automated Radiation Therapy Quality Assurance of Prostate Cancer Treatment.
Med Phys. 2018 Jan 29;:
SU-F-T-15: Evaluation of 192Ir, 60Co and 169Yb Sources for High Dose Rate Prostate Brachytherapy Inverse Planning Using An Interior Point Constraint Generation Algorithm.
Med Phys. 2016 Jun;43(6):3464-3465
Robotic path-finding in inverse treatment planning for stereotactic radiosurgery with continuous dose delivery.
Med Phys. 2016 Aug;43(8):4545
IEEE J Biomed Health Inform. 2014 Jan;18(1):21-7