Search
Now showing items 11-20 of 20
Development of methodologies to analyze and visualize air traffic controllers’ visual scanning strategies
(2020-12-18)
The Federal Aviation Administration (FAA) estimates a 60 million air traffic volume by 2040. However, the available workforce of expert air traffic controllers (ATCs) might not be sufficient to manage this anticipated high ...
Fair Resource Allocation in Macroscopic Evacuation Planning Using Mathematical Programming: Modeling and Optimization
(2020)
Evacuation is essential in the case of natural and manmade disasters such as hurricanes, nuclear disasters, fire accidents, and terrorism epidemics. Random evacuation plans can increase risks and incur more losses. Hence, ...
Model evolution for the realization of complex systems
(2021)
George Box said, “All models are wrong, but some are useful.” In the design of complex systems, types of complexity need to be managed. Giving the complexities that a decision maker may encounter, corresponding adjustments ...
Managing computational complexity through using partitioning, approximation and coordination
(2022-08-04)
Problem: Complex systems are composed of many interdependent subsystems with a level of complexity that exceeds the ability of a single designer. One way to address this problem is to partition the complex design problem ...
Creativity in engineering: systems thinking approach to improve understanding
(2021-08)
On the surface, creativity seems to be an attainable, easy-to-master construct. However, when diving into the literature, the observer will realize that creativity is a complex, multifaceted, highly debatable phenomenon ...
Machine Learning for Impact-Based Flash Flood Warnings: Hazard Report Operationalization for Impact Predictions
(2023-12-15)
Floods account for approximately one third of all global geophysical hazards, and flash floods allow for extremely short lead times for warnings to be emitted. Flash flood warnings are weather-related alerts which serve ...
The role of fairness-based distribution to enhance the resilience of downstream supply chain networks
(2021-08-05)
Unexpected disruptive events have significant impacts on Supply Chain Networks (SCN), their capacity, and overall performance. Thus, it is critical to developing efficient techniques to improve their robustness and resilience ...
ENHANCING INFRASTRUCTURE RESILIENCE THROUGH INTEGRATION OF A MAX-MIN FAIRNESS-INSPIRED STRATEGY IN MULTIMODAL TRANSPORTATION AND SUPPLY CHAIN SYSTEMS
(2024-05)
This dissertation's primary contribution to Supply Chain and Transportation Network
(SCTN) resilience lies in the implementation of a sequence of Multicriteria Mixed Integer
liners programming MCMILP models that ...
A FRAMEWORK OF EPIDEMIC MODELING CONSIDERING PREVENTIVE BEHAVIORS: COMPARTMENTAL MODELING, TEXT ANALYTICS, AND MACHINE LEARNING
(2024-04-25)
The goal of this research is to provide a novel framework for epidemic modeling incorporating metrics derived from social media to predict epidemic dynamics and to estimate the impact of preventive behaviors. This study ...
Survival Prediction of Pediatric Leukemia under Model Uncertainty
(2024-05)
This dissertation addresses critical challenges in survival prediction for pediatric leukemia, particularly Acute Lymphoblastic Leukemia (ALL), by introducing novel predictive models that incorporate Bayesian principles ...