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.
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
Automated treatment planning for a dedicated multi-source intra-cranial radiosurgery treatment unit accounting for overlapping structures and dose homogeneity.
Med Phys. 2013 Sep;40(9):091715
Can J Surg. 2013 Apr;56(2):113-8
Automated treatment planning for a dedicated multi-source intracranial radiosurgery treatment unit using projected gradient and grassfire algorithms.
Med Phys. 2012 Jun;39(6):3134-41
A set cover approach to fast beam orientation optimization in intensity modulated radiation therapy for total marrow irradiation.
Phys Med Biol. 2011 Sep 7;56(17):5679-95
Phys Med Biol. 2010 Sep 21;55(18):5467-82
Phys Med Biol. 2008 Jun 21;53(12):3175-88
Affiliated Faculty, Techna Institute for the Advancement of Technology for Health (Techna)