PhD Dissertations - DO NOT EDIT: Recent submissions
Now showing items 21-40 of 133
-
Optimizing the Performance of Analytical Chemistry Instrumentation
(2022-05-04)Surrogate Optimization and Global Optimization approaches to optimize underlying functions have been studied and used extensively in the field of Operations Research. However, there are very few instances where these ... -
PLANNING AND OPTIMIZATION OF A STOCHASTIC MULTI-PHASE MULTI- CRITERIA MULTI-ECHELON HUMANITARIAN LOGISTICS NETWORK
(2019-11-12)Disasters, may that be anthropogenic or natural, cause much havoc to vast area and population. Property and infrastructures get destroyed. People are often in need of urgent relief like dry foods and water to survive. In ... -
DESIGN FOR OLDER ADULTS – FUNCTIONAL LIMITATIONS AND HUMAN FACTORS ENGINEERING
(2021-12-13)Background: Throughout the aging process, people experience changes in functional ability and such changes can happen in physical and mental functions. As a result, older adults develop limitations in their capabilities ... -
Uncovering Underlying Features for State Transition Modeling
(2019-09-06)Modeling of a dynamic system is the representation of the interconnectivity of system state variables and their evolutionary trajectory over time. In this dissertation, the terminology “state transition modeling” refers ... -
Machine Learning Framework for Nonlinear and Interaction Relationships Involving Categorical and Numerical Features
(2021-09-01)Traditionally, physical scientific experiments have been conducted extensively to study and understand the behavior of a process or a system. With the advancement of computing technology in recent years, computer codes and ... -
SHAPE-BASED TIME SERIES MINING FOR PROCESS MONITORING AND ANOMALY DETECTION
(2021-09-02)Due to the rapid development of computing and sensing technology, Internet of Things (IoT)-enabled monitoring plays a crucial role for people suffering from cardiac problems. It is important to detect the abnormal ECG ... -
TEENAGE CYCLISTS’ PERCEPTION TOWARDS AUTONOMOUS VEHICLES AND ITS ASSOCIATED TRAFFIC INFRASTRUCTURES
(2021-05-03)Background: Cycling is a cost-effective means of transportation. Many teenagers cycle to go to schools and ride in neighborhoods. Cyclists are more vulnerable to injuries and fatalities than motor vehicle drivers. With the ... -
A PARAMETRIC PROCESS-BASED COST ESTIMATION FRAMEWORK TO SUPPORT CONCEPTUAL PRODUCT FAMILY DESIGN AND PRODUCTION
(2018-12-13)In today’s globally competitive environment, production costs estimation is a challenging task. This competitive market has brought specific strategies in the manufacturing sector, such as introducing more new products ... -
A TWO-STAGE STOCHASTIC PROGRAMMING MODEL FOR ENHANCING SEISMIC RESILIENCE OF WATER PIPE NETWORKS
(2020-09-03)Earthquakes are sudden and inevitable disasters that can cause enormous losses and suffering, and having accessible water is critically important for earthquake victims. To address this challenge, utility managers do ... -
A NEW METHOD TO ESTIMATE THE IMPACT ON THE L5/SI SPINAL DISC FROM SPEED LIFTING OF UNSTABLE LOADS, ASYMMETRICALLY
(2020-08-10)Background: The most significant causes of lower back injuries at work are probably from manual lifting activities. Lifting unstable loads pose a significant strain to the lower back and can cause debilitating lumbar spine ... -
Supervised Sparse Learning with Applications in Bioinformatics
(2018-08-23)In machine learning and mathematical optimization, sparse learning is the use of mathematical norms such as L1-norm, group norm and L21-norm in order to seek a trade-off between the goodness-of-fit measure and sparsity of ... -
STATISTICAL META-MODEL FOR AIR TRAFFIC FLOW AND CAPACITY MANAGEMENT BASED ON AIRSPACE OPTIMIZATION-SIMULATION: THE CONTINUOUS CHALLENGE OF THE HUB OF THE AMERICA CONGESTION
(2018-08-31)Panama is only Country on the Americas with a Canal and the hub of Logistics that include the interaction of the Atlantic and the Pacific in a less than a day. This Logistics growth after the Panama Canal Expansion resulted ... -
ANALYZING COLLABORATION IN FOOD ASSISTANCE NETWORKS USING AGENT-BASED MODELING
(2019-08-05)To address the issue of food insecurity, many small independent agencies, known as food pantries, collect and distribute donated food to food-insecure clients. However, the supply of donated food varies significantly from ... -
A MULTI-AGENT DEMAND RESPONSE PLANNING AND OPERATIONAL OPTIMIZATION FRAMEWORK
(2019-08-29)This research describes a real-time optimization model for multi-agent demand response (DR) from a Load Serving Entity (LSE) perspective. We formulate two infinite horizon stochastic optimization models; specifically, an ... -
ROBUST, TIME-CRITICAL, EVIDENCE-BASED ADAPTIVE DATA FUSION
(2020-05-14)Sensors have become inevitable part of many studies and working areas ranging from navigation, transportation and medical applications. A sensor can help a user in a variety of situations including dangerous, inaccessible, ... -
MARS Knot Positioning and Global Optimization
(2019-08-12)Multivariate adaptive regression splines (MARS) is a statistical modeling approach with wide real-world applications. In the MARS model building process, knot positioning is a critical step that potentially affects the ... -
Sparse Representation and Learning for Discriminative EEG Source Imaging
(2018-05-07)As a direct measurement modality of neural electrical firing patterns, electroencephalogram (EEG) has a much higher temporal resolution up to millisecond compared to positron emission topography (PET) and functional magnetic ... -
ACCELERATED AGING OF A SWITCHING POWER SUPPLY PROTOTYPE
(2018-12-13)The LVPS (Low Voltage Power Supply) is a switching power supply custom designed for the ATLAS Tile Calorimeter at the Large Hadron Collider in Geneva Switzerland. Over one thousand of these LVPS, also called ’bricks’, will ... -
A Dynamic Policing Simulation Framework
(2018-12-11)Crime is a serious problem to a society, and its costs are an economic burden. With the help of technology and developed tools, law enforcement agencies are making significant efforts to combat crime, so as to create a ... -
Proposing a Sparse Weighted Directed Network Construction Method and a Novel Mutual-Information based Sparse Feature Selection Algorithm for Multivariate Time-series Analysis and its Application in Medical Diagnostic Problems
(2018-08-24)The main purpose of this study is feature engineering/learning from multivariate (MV) time-series to achieve a more interpretable model by dimension reduction. This aim is fulfilled in 2 main parts. In part 1, we proposed ...