Complex fluids are ubiquitous, from natural materials to manufactured products. Understanding their behavior under flow is vital for engineering these materials. Extensional flow, despite being industrially relevant and often producing dominant impacts upon complex fluids, is an underserved topic compared to shear flow due to a lack of reliable apparatuses...
This dissertation develops a new framework and algorithms for statistical process control of stochastic textured surface data that have no distinct features other than stochastic characteristics that vary randomly (e.g., image data of textiles or material microstructures and surface metrology data of metal parts). All methods are general and nonparametric...
Polymer nanocomposites are a class of advanced materials comprised of soft polymer matrix and nano-filler inclusions. While it has been found qualitatively that enhancements of material properties could be achieved by dispersing inorganic nano-particles into organic polymer matrix, the intrinsic governing principles of such composite has not been thoroughly studied...
Solvent-rich polyelectrolyte complexes display a wide range of rheological properties, when different environmental parameters are applied. Due to the low energy barrier of the complexation (~10 kT), these materials possess tunable properties, with the states of these materials varying from Newtonian liquids to very tough hydrogels. This thesis aims to...
NSD2, a histone methyltransferase specific for methylation of histone 3 lysine 36 (H3K36), exhibits a glutamic acid to lysine mutation at residue 1099 (E1099K) in childhood acute lymphocytic leukemia (ALL). Cells harboring this mutation can become the predominant clone in relapsing disease. We studied the effects of this mutant enzyme...
Some of the oldest drugs targeting metabolism are the antifolates such as aminopterin and methotrexate (MTX). MTX started being used in the 1950s to treat rheumatoid arthritis. Aminopterin and MTX both target one carbon metabolism and inhibit proliferation of cells. MTX was a potent inhibitor of inflammation, because it prevented...
Connecting structure and function in nanoscale engineered materials and devices relies on the analysis of the fundamental arrangement of matter, frequently under dynamic conditions. The demand to image structures at fundamental length scales has touched inorganic materials, biology, and frequently hybrid hard/soft materials with unique phenomena driven by heterogeneous components....
Cancer radiation therapy relies on optimized treatment plans whose quality assessment is judged by dosimetric planning aims. It is computationally prohibitive to incorporate the planning aims into the optimization models. Therefore, there exists a disconnect between the two steps of (1) optimizing a plan and (2) evaluating the optimized plan,...
In this dissertation, we study different machine learning algorithms including probabilistic, sparse and deep learning based models applied to multi-sensory datasets. In many machine learning problems, samples are collected from more than one source or modality. Also, various feature extraction methods can be used to provide more than one set...
Children are known to be curious and persistent question-askers. The pervasiveness of voice interfaces represents an opportunity for children who are still learning to read and write to independently search the Internet by directing questions at conversational agents such as Amazon’s Alexa, Apple’s Siri, and the Google Assistant. However, little...