Chapter 1 investigates asks the question how do financial frictions affect the type of human capital investments that students make in college? To study this question, I build a novel dataset covering more than 700,000 U.S. students, merging commencement records with address histories, credit bureau records, and professional resumes. I...
Machine learning-based techniques have shown great promises in perception, prediction, planning, and general decision-making for improving task performance of autonomous driving. Connectivity technology has also presented great potentials in improving the safety and efficiency of transportation systems by providing information beyond the perception and prediction capabilities of individual vehicles. However,...
Literature screening is the process of identifying all relevant records from a pool of candidate paper records in systematic review, meta-analysis, and other research synthesis tasks. This process is time consuming, expensive, and prone to human error. Screening prioritization methods attempt to help reviewers identify most relevant records while only...
Thermoelectric devices convert between temperature gradients and electricity, implying numerous applications, such as powering exploratory space vehicles, industrial waste-heat recovery, and solid- state refrigeration. Thermoelectric devices consist of doped p-type and n-type semiconductor legs, and the overall device efficiency depends on the transport properties of these semiconductor materials. High-performing thermoelectric...
Since Infrared radiation was discovered in 1800s, the research and applications on the infrared regime have been continually developed. The infrared detectors are the key technology in these applications and have been successfully used for medical imaging, light detection and ranging (LiDAR), free-space optical communication, target tracking and object identification...
Many computing technologies are primarily useful because of the existence of some set of data created by people, intentionally in some cases and unintentionally in others. For instance, technologies like search engines, recommender systems, classifiers, and language models are all dependent on digital records of things people have said, done,...
Elemental powder blends are an emerging alternative to prealloyed powders for high-throughput alloy design via additive manufacturing techniques due to their flexibility, low cost, and ease of customization. This dissertation investigates elemental alloying elements (Sc and Zr) which are high-melting and highly reactive, unlike previous work which focused on more...
Conventional polymer networks are composed of strong, fixed covalent cross-links. The covalent cross-links render polymer networks with outstanding mechanical properties, heat stability, and chemical resistance; however, they also prevent polymer networks from being decross-linked or/and recycled into similar-value products at the end of their life, leading to environmental and economic...
The construction of new C–C bonds remains a central facet of organic chemistry due to its critical role in the synthesis of pharmaceutical compounds and organic materials. Mild and selective methodologies are often required for efficient formation of these bonds in natural product total synthesis, medicinal chemistry campaigns, and more....
Imagine sitting in a room listening to some friends play a song. Perhaps one friend is playing guitar, another playing bass, and a third is playing drums. The musical content in this scene is extraordinarily complex, yet it contains many types of structure that is easy for us to comprehend....