In this thesis, I summarize two published research papers [1][2] to which I contributed as an undergraduate researcher. My contributions to this research primarily consisted of implementing realistic human joint limitations ...

Fatigue assessment is a highly subjective yet important marker for high-performance athletes as they strive to maintain fitness and avoid injuries during the season. Fatigue and overexertion is the leading cause of muscular ...

Research within Artificial Intelligence has often set goals of being able to autonomously play games (e.g., Chess or Go) at or above human level. Novel machine learning-based agents have recently made advances in the ...

Single-view 3D reconstruction is a task in which an algorithm constructs a 3D model from a single image of an object without seeing the back side of that object or viewing any explicit depth information. We create a ...

In the U.S., students seeking Computer Science (CS) as an undergraduate major increased by 12% from 2006 to 2012 and then another 51% from 2011 to 2017. Despite this wide pursuit, there is a belief that not enough citizens ...

Systems infected with botnet malware often communicate with command and control (C&C) infrastructure, from which attackers can launch coordinated malicious attacks. Our research explores techniques for discovering ...

Seemingly counter-intuitive phenomena in deep neural networks and kernel methods have prompted a recent re-investigation of classical machine learning methods, like linear models. Of particular focus is sufficiently ...

Makerspaces refer to highly interactive physical spaces where people can work on projects. These spaces have complex access control requirements and are increasingly protected through digital access control mechanisms ...

We study the problem of building and traversing a search tree for combinatorial optimization problems, which are generally exponential in time complexity and often characterize NP-Hard problems. A typical approach for such ...

Story generation remains a challenge because it is still difficult to automatically generate logically coherent yet natural stories. In this thesis, we propose an approach to this problem by combining our previous pipeline ...