Theses/Dissertations from 2020
Exploring Attacks and Defenses in Additive Manufacturing Processes: Implications in Cyber-Physical Security, Nicholas Deily
Toward Efficient Scheduling for Parallel Real-Time Tasks on Multiprocessors, Son Ngoc Dinh
The Mechanobiology of Elbow Contracture: Pathogenesis and Prevention, Chelsey Dunham
CSP-Completeness And Its Applications, Alexander Durgin
Toward Practical Learning-Based Image Reconstruction Methods, Weijie Gan
Quantitative Fluorescence Imaging for Investigation and Treatment of Disease, Lemoyne Michael Habimana-Griffin
Vehicle Design Study of a Straight Flying-Wing with Bell-Shaped Spanload, Kevin Hainline
Investigating Single Precision Floating General Matrix Multiply in Heterogeneous Hardware, Steven Harris
First-principles Studies of Anion Engineering in Functional Ceramics, Steven Timothy Hartman
Aging Effects on Arterial Mechanics and Matrix Remodeling, Jie Hawes
A High Frequency Photoacoustic System for Colorectal Cancer Imaging, Kexin Huang
Data Processing Electronics for an Ultra-Fast Single-Photon Counting Camera, Jackson Hyde
Hemodynamic Effects on Aortic Development Due to Outflow Tract Banding, Humza Ismail
Nucleation Dynamics for Water Condensation on Hydrophobic Surfaces in the Presence of Non-Condensable Gases, Xinyu Jiang
Nucleation Dynamics for Water Condensation on Hydrophobic Surfaces in the Presence of Non-Condensable Gases, Xinyu Jiang
New Modeling Approaches for the Prediction of Combustion Pollutants, Phillip R. Johnson
Advanced Materials for Air Pollutants Removal in A Combustion System, Sungyoon Jung
Scalable Synthesis of Nanostructured Metal Oxide Films using Aerosol Chemical Vapor Deposition for Energy Storage Applications, Clayton Kacica
The Effects of Mixed-Initiative Visualization Systems on Exploratory Data Analysis, Adam Kern
Particle Studies in the Lab and Pilot-scale Coal Combustion Systems, Dishant Khatri
Bio-Directed Synthesis of High-Performance Mussel-Based Protein Adhesives and Composites, Eugene Kim
Predicting Disease Progression Using Deep Recurrent Neural Networks and Longitudinal Electronic Health Record Data, Seunghwan Kim
Predicting Disease Progression Using Deep Recurrent Neural Networks and Longitudinal Electronic Health Record Data, Seunghwan Kim