This thesis contributes in two ways. First it describes a new framework for the systematic design of collective behaviors and solves a key stability issue under this design framework. In this thesis we apply this framework to solve three tasks in the swarm robotics field: connectivity maintenance, formation control and...
The Operating System (OS) kernel is a key component of modern computing infrastructure, yet it is prone to numerous vulnerabilities, many of which cause memory corruptions that can be exploited by attackers to perform malicious activities. While various techniques have been introduced to secure the Linux kernel, it still constantly...
In the first two decades of the twenty-first century, we have witnessed a surge of public interest in and discussion around racial reckoning. Universities in the United States and across the globe are grappling with their historical associations with transatlantic and chattel slavery. This dissertation takes up the question of...
Metal–Organic Frameworks (MOFs) is a class of material comprising organic linkers and inorganic, metal-ion-containing nodes, with diverse functionalities and wide-range of applications. Because of their porous nature and functional nodes and linkers, they are competent candidates for gas storage, separation, catalysis, and so on. Most MOFs, however, are intrinsically insulating,...
The role of providing care for a loved one with Alzheimer’s disease can expose friends and family caregivers to significant stress over an extended period of time, resulting in a host of negative outcomes like increased depression and anxiety, and diminished quality of life. However, previous studies have found that...
“National Acts: Performance, Commemoration, and the Construction of American Public Memory” explores how sites of public commemoration created during and after the American Civil War crafted conceptions of American public memory and identities through performative processes. This dissertation looks at three commemorative efforts: the Freedmen’s Memorial Monument to Abraham Lincoln,...
This dissertation explores how dominant U.S. constructions of race, class, and gender are embedded into and inscribed onto artificially intelligent virtual assistants and the labors they perform. I examine virtual assistants like Amazon’s Alexa, Apple’s Siri, and Microsoft’s Cortana, interrogating their complex relationship to humanness, the tasks they are programmed...
Clustering is a fundamental task in unsupervised learning, which aims to partition the data set into several clusters. It is widely used for data mining, image segmentation, and natural language processing. One of the most popular clustering methods is centroid-based clustering, including k-medians and k-means clustering. k-medians and k-means clustering...