Industrial engineering
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The Influence of Hospital Resource Factors on Adverse Health Outcomes
The "Influence of Hospital Resource Factors on Adverse Health Outcomes" covers the exploratory, observational study that aims to determine the association between resource accessibility variables and adverse health outcomes ... -
Assessing Cognitive Workload of In-Vehicle Voice Control Systems
In-Vehicle Information Systems (IVIS) are becoming more accessible to drivers and contain more complex communication features. Voice control systems (VCS's) promise to be less distracting than visual-manual interfaces, but ... -
Optimization and Machine Learning Methods for Medical and Healthcare Applications
The increasing amounts of data being gathered in healthcare and medical systems and the convergence of different domains are leading medical and healthcare research to a new direction of precision and personalized medicine. ... -
Objective Methods for Characterizing Physical Exposures which may contribute to Work-related Musculoskeletal Disorders in Agricultural Workers
US Migrant farmworkers perform physically-demanding work but are less likely to report poor working conditions, which exposes them to greater risk for musculoskeletal disorders (e.g., prolonged non-neutral postures, ... -
Systems Modeling of Lung Cancer Screening Programs to Improve Quality
The main aim of this thesis is to study the factors that affect the quality of lung cancer screening with special focus on community based lung cancer screening programs. The variation in false positives and other outcomes ... -
Vehicle Distance Threshold for Quayside Operations of Container Terminals
In container terminal quayside operations, vehicles play a vital role in shuttling containers between the quay and the yard. The problem of determining the vehicle fleet size to employ consists of determining the exact ... -
Discrete-event Simulation and Optimization to Improve the Performance of a Healthcare System
Healthcare systems have attracted the attention of management and analysis due to their high percentage of the gross domestic product (GDP) and increasing rate of growth of expenditures. Within the various types of healthcare ... -
Modeling Depression Progression Dynamics from Electronic Health Record
To assess and monitor the progression dynamics of patients' depression severity conditions, Markov models are refined from other disease progression modeling methodologies to identify the characteristics and evolvement of ... -
Depression Management Using Electronic Health Record: Individual Progression Prediction
Mitigating depression has become a national health priority and is the most common mental illness seen in primary care. Due to the complex dynamics of individual's depression trajectory, how to predict the progression of ... -
Optimization and Machine Learning Frameworks for Complex Network Analysis
Networks are all around us, and they may be connections of tangible objects in the Euclidean space such as electric power grids, the Internet, highways systems, etc. Among the wide range of areas in the network analysis, ... -
Dynamic Models under Uncertainty for Large-Scale Enterprise Systems
Many enterprise applications such as assortment planning, inventory control and supply chain management rely on forecasting, optimization and machine learning methodologies. While many methods have been developed for static ... -
Cost-Effectiveness Analysis of Adaptive Monitoring Strategies for Depression Treatment
Depression is a significant challenge for the American medical care system and affects as high as 10% of the adult population in the U.S. There are many challenges in treating depression. People are reluctant to reveal ... -
Explicitly Controlling Geometric Characteristics of Corridors in Spatial Optimization
Spatially-explicit mixed-integer programming models (MIPs) allow decision makers to explore a variety of complex scenarios and determine optimal sets of actions across a landscape. In reserve selection problems, the landscape ... -
Optimizing Hepatitis C Birth-Cohort Screening and treatment Allocation Strategy
Chronic hepatitis C (HCV) is a significant public health problem affecting 2.7-3.9 million Americans. The U.S. healthcare systems are ramping up combined HCV screening and treatment efforts, but screening and treatment ... -
Quantifying Drivers Foot Movements and Pedal Misapplication Errors
Pedal errors refer to the situation when the driver mistakenly presses the wrong pedal or does not press the pedal at all. A negative outcome of pedal misapplications is a sudden acceleration event, which has been associated ... -
Ontology-driven Education: Teaching Anatomy with Intelligent 3D Games on the Web
Human anatomy is a challenging and intimidating subject whose understanding is essential to good medical practice, taught primarily using a combination of lectures and the dissection of human cadavers. Lectures are cheap ... -
Convex and Dynamic Optimization with Learning for Adaptive Biologically Conformal Radiotherapy
The research objective of this dissertation is to apply convex and dynamic optimization methods to establish a rigorous mathematical framework called Adaptive Biologically Conformal Radiotherapy (ABCRT) for spatiotemporally ... -
Approximating Large-Scale Binary Integer Programs by Discrete Optimal Control
Optimal control theory has been introduced as a powerful tool for approximately solving binary integer programming problems. In previous studies, an approach using continuous optimal control theory was developed, where the ... -
The U.S. Coast Guard 87’ Patrol Boat Maintenance Program: An Analysis of a Scheduling and Resource Leveling Problem
Planning and managing military ship repair projects require a delicate balance between software-based scheduling, resource loading, and risk mitigation strategies. The U.S. Coast Guard Industrial Yard, through use of ... -
Developing Domain-specific Simulation Objects for Modeling Clinical Laboratory Operations
Clinical laboratories play a critical role in patient diagnosis, treatment planning and prevention of disease. The inherent complexity of clinical laboratories lies both in the volume and variety of specimen types, which ...
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