This decommissioned ERA site remains active temporarily to support our final migration steps to https://ualberta.scholaris.ca, ERA's new home. All new collections and items, including Spring 2025 theses, are at that site. For assistance, please contact erahelp@ualberta.ca.
Search
Skip to Search Results- 1Anagaw, Amsalu Y.
- 1Bahanan, Amgad AA
- 1Bakmohammadi, Parnian
- 1Cheng, Ziyi
- 1Farough Motamed Nasab
- 1Guevara Urdaneta, Jose L
-
Fall 2020
Over the coming decades, global population and energy consumption are projected to increase dramatically, with the latter doubling by 2050 as per the most conservative estimates. Much of this demand is likely to be met with increased use of fossil fuels. The burning of fossil fuels is a major...
-
Multi-Objective Optimization of the Steam Alternating Solvent (SAS) Process using Pareto-based Multi-Objective Evolutionary Algorithms
DownloadSpring 2022
The Steam Alternating Solvent (SAS) process is a relatively new auspicious alternative recovery process to produce heavy oil and bitumen resources. This process consists of injecting steam and solvent (i.e. propane) alternatively using the same well configuration as the widely adopted...
-
Spring 2021
Stochastic optimization is field in mathematics that deals with decision making under uncertain conditions. Traditional methods for solving stochastic optimization problems such as scenario-tree methods usually result in large-size problems that suffer from the curse of dimensionality and require...
-
Fall 2024
Fossil fuel combustion results in carbon dioxide (CO${2}$) and particulate emissions which are linked to climate change and health problems, respectively. Hydrogen can be an alternative zero-emission fuel for future energy systems. However, hydrogen is not sufficiently available in nature in its...
-
Theoretical and Computational Aspects of Mixture Models, with Applications to Empirical Bayes Methods
DownloadFall 2018
This thesis studies mixture models, in particular the estimation of mixing distributions and their applications to empirical Bayes prediction. The objectives are two-fold: to study the large-sample property of empirical Bayes estimators; to develop algorithms for the nonparametric estimation of...
-
Vulnerability of Cyber-Physical Systems to Optimal Stealthy Deterministic Attack Strategies
DownloadFall 2022
Cyber-physical systems (CPSs) are an emerging technology with the potential to be transformational in the field of systems and control. They combine wireless and virtual components with physical infrastructure to create systems that are more adaptable, scalable, and resilient than their...