Language models are the foundation of many natural language tasks such as machine translation, speech recognition, and dialogue systems. Modeling the probability distributions of text accurately helps capture the structures of language and extract valuable information contained in various corpora. In recent years, many advanced models have achieved state-of-the-art performance...
The logistics of policy implementation can lead to a delay from when the actual change in behavior occurs, leading to a shift in a time series. Using change point analysis allows for the data to determine where a change in mean, or other parameters, occurred. But when policy is implemented...
We live in an increasingly computational world; one that, in the near term, may require everyone to be computationally literate. Computer science (CS) education has greatly increased its reach in the last two decades with an increasing number of students having access to formal computer science classroom experiences in the...
Materials science has been central to human advancement since time immemorial. There has always been curiosity around studying the processes required to extract materials, examine their structure, and ultimately tailor their properties to meet human needs. Over the last few centuries, the ability to tailor material properties was driven by...
To be tempted is to be conflicted, but the conflict is not one of oscillation between two good options. Rather, it is normally easy to act on temptation and difficult to act against it. But this is puzzling, because unless temptation is a force that acts on us, it’s not...
Object Detection is a core computer vision problem and can facilitate many image understanding problems. Object Detection has witnessed significant progress in the past decade especially after deep learning is successfully applied to this field. Most of the detection models focus on generalizing the trained model to unseen samples of...
Engineering heat transport in materials is essential for thermal management in a wide range of technologies, from batteries to thermoelectrics. Materials host a wide spectrum of heat-carrying phonons, which vary in their frequency, spatial extent, and degree of plane-wave character. This diversity in phonon properties leads to complex behavior, especially...
In this dissertation, we aim to develop efficient algorithms with theoretical guarantees for several data-driven decision making problems. Specifically, we study the data-driven deci- sion making from three different perspectives: statistical learning, nonconvex optimization, and control of stochastic system. This dissertation contains three parts. In the first part, we study...
Nanocarriers as structures with at least one dimension in the nanometer scale are capable of loading small molecule therapeutics that would otherwise have poor bioavailability, non- specific uptake, and off target effects. Polymeric nanocarriers can be modified to tune their chemical and biological behavior to better suit the intended application....
The dissertation builds on my current research to demonstrate the connection between affect and learning through machine learning and qualitative analysis of interactions where players use a complex systems game. The project is threefold: First, I developed a thinking and learning intervention, the agent-based modeling simulation Ant Adaptation. I showed...