A5021400604- Water Systems and Optimization
- Multi-Criteria Decision Making
- Water Treatment and Disinfection
- Water resources management and optimization
- Urban Stormwater Management Solutions
- Sustainable Building Design and Assessment
- Building Energy and Comfort Optimization
- Risk and Safety Analysis
- Water Quality and Pollution Assessment
- Environmental Impact and Sustainability
- Water Quality Monitoring Technologies
- Wastewater Treatment and Reuse
- Infrastructure Maintenance and Monitoring
- Structural Integrity and Reliability Analysis
- Environmental and Social Impact Assessments
- Municipal Solid Waste Management
- Water-Energy-Food Nexus Studies
- Bayesian Modeling and Causal Inference
- Hybrid Renewable Energy Systems
- Geotechnical Engineering and Underground Structures
- Carbon Dioxide Capture Technologies
- Atmospheric and Environmental Gas Dynamics
- Recycled Aggregate Concrete Performance
- Groundwater flow and contamination studies
- Energy Efficiency and Management
University of British Columbia
2016-2025
Okanagan University College
2016-2025
Kelowna General Hospital
2013-2024
Bahria University
2024
University of the Punjab
2022
Qassim University
2019
Privatsykehuset Haugesund
2015
National Research Council Canada
2003-2014
University of Calgary
2013
Université Laval
2011
Quantitative risk analysis (QRA) is a systematic approach for evaluating likelihood , consequences, and of adverse events. QRA based on event (ETA) fault tree analyses (FTA) employs two basic assumptions. The first assumption related to values input events, the second regarding interdependence among events (for ETA) or FTA). Traditionally, FTA ETA both use crisp probabilities; however, deal with uncertainties, probability distributions likelihoods are assumed. These often hard come by even...
Safety assessment of oil and gas (O&G) pipelines is necessary to prevent unwanted events that may cause catastrophic accidents heavy financial losses. This study develops a safety model for O&G pipeline failure by incorporating fuzzy logic into Bayesian belief network. Proposed network (FBBN) explicitly represents dependencies events, updating probabilities representation uncertain knowledge (such as randomness, vagueness ignorance). The highlights the utility FBBN in analysis because its...
Z-number is a new framework of fuzzy sets that combines with constraint and reliability. Managing the uncertainty an important issue in decision making based. In this paper, we first develop measure set considering influence fuzziness range (or cardinality) set. Some properties developed are presented. We then propose discuss method measuring Z-number. Examples used to illustrate effectiveness proposed methodologies.