Electrical Engineering and Computer Science electronic theses and dissertations (MU)
The items in this collection are the theses and dissertations written by students of the Department of Electrical and Computer Engineering. Some items may be viewed only by members of the University of Missouri System and/or University of Missouri-Columbia. Click on one of the browse buttons above for a complete listing of the works.
Items in MOspace are protected by copyright, with all rights reserved, unless otherwise indicated.
Recent Submissions
-
Wire detection using ground penetrating radar using image processing techniques
(University of Missouri--Columbia, 2023)[EMBARGOED UNTIL 5/1/2024] This thesis investigates wire detection using various techniques applied to Ground Penetrating Radar (GPR) images. In this study, a step-frequency GPR with a co-pole configuration was used to ... -
Biophysical modeling of neural computation at cell and network levels : three case studies
(University of Missouri--Columbia, 2023)[EMBARGOED UNTIL 8/1/2024] In the following three case studies, we use mathematical modeling to explore neural computation at the cell and network levels. In the first case study, we explore how oscillatory rhythms -- found ... -
Optical and impedance based sensors for chemical/biological and foodborne pathogens applications
(University of Missouri--Columbia, 2023)[EMBARGOED UNTIL 5/1/2025] An impedance based microfluidic biosensor for rapid simultaneous detection of different Salmonella serogroups in food product was investigated. Foodborne pathogens contamination in the United ... -
Assessing the quality and distribution of news in local television and newspaper markets using data science methods
(University of Missouri--Columbia, 2023)[EMBARGOED UNTIL 5/1/2024] Increasingly over the last two decades, U.S. newspapers have struggled with declining readership, decreasing revenues and competition from social media companies, among other challenges. More ... -
Design and clinical testing of a control system and event prediction system for premature babies in the NICU.
(University of Missouri--Columbia, 2023)[EMBARGOED UNTIL 5/1/2024] The presented work is a thesis used as evidence towards defending a master's degree in the department of Electrical Engineering at the University of Missouri, Columbia. The project presented ... -
Power efficient machine learning-based hardware architectures for biomedical applications
(University of Missouri--Columbia, 2023)The future of critical health diagnosis will involve intelligent and smart devices that are low-cost, wearable, and lightweight, requiring low-power, energy-efficient hardware platforms. Various machine learning models, ... -
Fabrication of clog-free microfluidic cell isolation and solid-state light-emitting devices for biomedical applications
(University of Missouri--Columbia, 2023)Over the past few decades, research and development on microfluidic devices, also referred to as lab-on-a-chip systems or microfluidic total analysis systems (TAS), have advanced quickly. There aren't many commercial success ... -
Identifying risk patterns for suicide attempts in individuals with diabetes : a data-driven approach using LASSO regression
(University of Missouri--Columbia, 2023)Diabetes is a major health concern in the United States, with 34.2 million Americans affected in 2020. Unfortunately, the risk of suicide is also elevated in individuals with diabetes, with around 90,000 people with diabetes ... -
A PVT tolerant voltage-controlled oscillator for automotive applications
(University of Missouri--Columbia, 2022)This thesis focusses on the development of an integrated oscillator for automotive applications. The oscillator operates based on the Barkhausen criterion, which is a mathematical requirement used in electronics to predict ... -
Single molecule imaging of DNA on nanogap embedded plasmonic gratings with enhanced fluorescence and improved level of detection
(University of Missouri--Columbia, 2020)One of the most commonly used detection tools in clinical diagnostics, life science research, chemical, and biological sensors is fluorescence. Because of its cost effective, sensitive, and specific nature fluorescence has ... -
Explainable artificial intelligence to stratify pan-cancer patients for immune checkpoint inhibitor decision making
(University of Missouri--Columbia, 2022)Immune checkpoints are a normal part of the immune system. It engages when proteins on the surface of immune cells called T cells recognize and bind to partner proteins on other cells, such as some tumor cells. Immune based ... -
Characterization and applications of wide bandgap semiconductor materials
(University of Missouri--Columbia, 2022)Wide bandgap materials are potential candidates to revolutionize high-power electronics and optoelectronic devices due to their wide bandgap energy greater than 2 eV. Thus, there is a great necessity to research on these ... -
Reliable and structural deep neural networks
(University of Missouri--Columbia, 2022)Deep neural networks have dominated a wide range of computer vision research recently. However, recent studies have shown that deep neural networks are sensitive to adversarial perturbations. The limitations of deep networks ... -
Accelerating data-driven discover in type 1 diabetes: an informatics-based approach
(University of Missouri--Columbia, 2022)Type 1 diabetes (T1D) is a lifelong chronic disease characterized by the absolute or near-absolute loss of insulin. For affected individuals, management of T1D is an unremitting challenge that involves constant blood glucose ... -
Design of low-power RF energy harvester for IoT sensors
(University of Missouri--Columbia, 2022)Rapid technological advancement in CMOS technologies has resulted in increased deployment of low-power Internet-of-Things (IoT) devices. As batteries, used to power-up these devices, suffer from limited lifespan, powering ... -
Kinematic assessment for stroke patients in a stroke game and a daily activity recognition and assessment system
(University of Missouri--Columbia, 2022)Stroke is the leading cause of serious, long-term disabilities among which deficits in motor abilities in arms or legs are most common. Those who suffer a stroke can recover through effective rehabilitation which is ... -
Identification of immune-related gene signatures to evaluate immunotherapeutic response in cancer patients using exploratory subgroup discovery
(University of Missouri--Columbia, 2022)Phenotypic and genotypic heterogeneity are characteristic features of cancer patients. To tackle patients[trademark] heterogeneity, immune checkpoint inhibitors (ICIs) represent one of the most promising therapeutic ... -
Investigation of nanoenergetic combustion study of aluminum nanoparticles systems on plasmonic grating platform
(University of Missouri--Columbia, 2022)With renewed interest in energetic materials like aluminum, many fundamental issues concerning the ignition and combustion characteristics at nanoscales remain to be clarified. Aluminum nanoparticles (Al NP) are widely ... -
An evaluation of an Electronic Medical Record (EMR) based system to characterize and correlate physician burnout and EMR use
(University of Missouri--Columbia, 2021)Burnout disproportionately affects healthcare workers and continues to rise, contributing to cost, quality, and patient safety risk in an already overburdened United States healthcare system. While the causes of burnout ... -
Deep learning with very few and no labels
(University of Missouri--Columbia, 2021)Deep neural networks have achieved remarkable performance in many computer vision applications such as image classification, object detection, instance segmentation, image retrieval, and person re-identification. However, ...