Enabling accurate and automated identification of wireless devices is critical for ensuring secure and authenticated data communication in large-scale networks such as IoT networks. In the aim of devising practical identification techniques that are immune to spoofing, hardware-driven RF fingerprinting using deep neural networks, which leverages the inevitable presence of...
The Cone Penetration Test (CPT) has been widely-adopted for rapid, cost-effective exploration of the subsurface and reduction in the effort associated with drilling, sampling, and laboratory testing of soil. The adoption of the CPT has stemmed in part to the correlation of measurements to preliminary soil classification, stress history, drained...
Mycobacterium avium subspecies paratuberculosis (MAP) is the causative agent of Johne’s disease, a chronic granulomatous enteritis that plagues domestic and wild ruminants globally. During the silent stages of Johne’s disease, infected animals intermittently shed bacteria for years prior to clinical diagnosis during advanced disease stages. This strategy allows MAP to...
Toxin production by cyanobacterial harmful algal blooms (cyanoHABs) in freshwater systems has lasting ecological and human impacts. Nutrients, light availability, hydrology, and microbial community composition impact the frequency and intensity of toxic cyanoHABs. Climate change will exacerbate toxic cyanoHABs, making real time and predictive monitoring a vital tool for managing...
Over time, Open Source Software (OSS) has become indispensable in the creation and upkeep of software products, serving as the fundamental building block for widely used solutions in our daily lives, including applications that enable communication, entertainment, and productivity. A sustainable OSS ecosystem is one that attracts and retains a...
The focus of this thesis is to design, characterize, and apply novel computational methods and molecular systems to interrogate heterogeneous human gut microbiome-related phenomena. In Chapter 2, I design, implement, and characterize a method for embedding co-occurrence patterns derived from massive 16s amplicon datasets. I use this method to 1....