The University Network of Excellence in Nuclear Engineering (UNENE) in partnership with the Natural Sciences and Engineering Research Council (NSERC) established the Industrial Research Chair (IRC) in Risk-Based Life Cycle Management of Engineering Systems at the University of Waterloo in 2004.
The research program, currently in it's third five year term, is chaired by Dr. Mahesh Pandey in the Department of Civil and Environmental Engineering. The chair program is one of eight university professorships established by UNENE in Ontario.
The main goal of the research program is to enhance existing risk assessment and life cycle management capabilities and to provide the nuclear industry with practical solutions for improving plant efficiency. The program is also responsible for creating a pool of highly skilled scientists and engineers to satisfy the industry's demand for workforce renewal.
We invite you to explore our site to learn more about our exciting research program, and the valuable contributions it has made to the nuclear industry in Canada and beyond!
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2021 Canadian Nuclear Achievement Award
Prof. Pandey was awarded the 2021 Harold A. Smith Outstanding Contribution Award by the Canadian Nuclear Society for outstanding contributions to the Canadian nuclear industry, in particular to reliability analysis and probabilistic methodologies for nuclear reactor component behavior.
2019 Best Paper Award for ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
The paper entitled "Probability Distribution of Maximum Load Generated by Stochastic Hazards Modeled as Shock, Pulse, and Alternating Renewal Processes" by Manzana, Pandey and van der Weide, received the award at the IMECE® International Mechanical Engineering Congress & Exposition, Virtual Conference November 16—19, 2020.
2024 Editor's Choice Paper: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
The paper entitled "Estimation of Economic Impacts of Climate-Driven Hazards Using Stochastic Process Model" by Bhadra and Pandey was chosen for as the Editor's Choice selection in the ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, 2024.