With the rapid growth of demand for data center services, the energy and water use of data centers has become a critical concern in the contexts of energy use, climate change, and freshwater conservation. Therefore, understanding, quantifying, and optimizing the use of energy and water resources in data centers has...
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...
This dissertation contributes to the theory of segregation and methodologies to measure it. The first two chapters focus on the traditional problem of quantifying segregation in traditional survey data through segregation indices. Segregation indices describe the segregation of an environment with one number – usually from 0 to 1. The...
Epigenetics, the study of heritable changes in organisms not caused by mutations to DNA,holds tremendous promise for future medical applications. Although still in its infancy, feature selection in statistics plays an important role in correlating epigenetic changes with
diseases and various health issues. Feature selection may also be used in...
Commonsense inference is a critical capability of modern artificial intelligence (AI) systems. The machines need commonsense knowledge to perform tasks exactly like human being does. Learning commonsense inference from text has been a long standing challenge in the field of natural language processing due to reporting bias -- people do...
Modeling human language is at the very frontier of machine learning and artificial intelligence. Statistical language models are probabilistic models that assign probabilities to sequences of words. For example, topic models are frequently used text-mining tools to organize a vast set of unstructured documents by exploring their theme structure. More...
The heart of computational materials science lies in providing fundamental insights and understanding of materials behavior and properties across different scales. The significance of this task is highlighted by the Materials Genome Initiative and the emergence of computational tools and frameworks such as materials by design, microstructure sensitive design, and...