Now showing items 21-30 of 219
Enabling Hyperscale Web Services
(2021)
Modern web services such as social media, online messaging, web search, video streaming, and online banking often support billions of users, requiring data centers that scale to hundreds of thousands of servers, i.e., ...
Provably Efficient Reinforcement Learning Under Linear Model Structures: From Tabular to Feature Based Exploration
(2021)
Reinforcement learning (RL) is a machine learning paradigm where an agent learns to interact with an environment in the presence of a reward signal as feedback. Recent breakthroughs have led to a renewed interest in building ...
UAS Contingency Management Autonomy with Experimentally Validated Models
(2022)
Uncrewed Aerial Systems (UAS) are increasingly deployed for surveillance and transport applications. However, their safety and performance are significant concerns. This dissertation develops a risk-aware autonomy architecture ...
Optimization of Critical Infrastructure with Fluids
(2021)
Many of the world's most critical infrastructure systems control the motion of fluids. Despite their importance, the design, operation, and restoration of these infrastructures are sometimes carried out suboptimally. One ...
Efficient Utilization of Heterogeneous Compute and Memory Systems
(2022)
Conventional compute and memory systems scaling to achieve higher performance and
lower cost and power have diminished. Concurrently, we have diverse compute and memory-demanding workloads that continue to grow and stress ...
Interactive Programming Interfaces for Data Science Collaboration and Learning
(2023)
With the expanding landscape of data science, it becomes increasingly crucial for data scientists to foster collaborative practices to enhance productivity.
Computational notebooks enable data scientists to run and share ...
Acceleration Techniques of Sparse Linear Algebra on Emerging Architectures
(2022)
Recent years have witnessed a tremendous surge of interest in accelerating sparse linear algebra applications. Sparse linear algebra is a fundamental building block and usually the performance bottleneck of a wide range ...
Protecting the Security of Sensor Systems
(2022)
Sensors are a ubiquitous part of modern life, providing crucial data about the physical state of the world in application areas including entertainment in smartphones and virtual reality, transportation in aviation or ...
Exploiting App Differences for Security Analysis of Multi-Geo Mobile Ecosystems
(2023)
Billions of users worldwide access essential Internet services such as banking, education, and healthcare through mobile apps on their phones.
This growth in mobile use is fueled by the rise of large platforms that provide ...
Understanding and Supporting Vocabulary Learners via Machine Learning on Behavioral and Linguistic Data
(2020)
This dissertation presents various machine learning applications for predicting different cognitive states of students while they are using a vocabulary tutoring system, DSCoVAR. We conduct four studies, each of which ...