At the Reliability, Risk and Maintenance Research Laboratory (RRMR Lab), we aim to develop advanced descriptive, predictive, and prescriptive analytics-based solutions for physical asset management. Our goal is to close the gap between optimal and actual practices in maintenance and other novel applications such as sustainable assets management and medical screening. This goal will be achieved by using available data, formulating models which best describe the data, and recommending evidence-based policies based on the outcomes of the models. Some of our research topics are highlighted below:

Prospective students and postdoctoral fellows: We are always looking for enthusiastic Postdoctoral Fellows, PhD, Masters, and undergraduate students with strong backgound in mathematical modeling and optimization to join our research group. The applicants who are interested in our research areas should email their CV and transcripts to Dr. Taghipour at sharareh@ryerson.ca. For further information regarding the current openings and how to join us, please read more here!