PhD Dissertation Proposal Defense

In the first part of my thesis, I introduce split parallelism, a novel  abstraction that addresses the limitations of traditional data parallelism on GPUs.

This dissertation proposes integrating transactional memory directly into a WebAssembly runtime system for persistent memory programming.

This thesis investigates the interplay between simulation and causal inference, focusing on how causal modeling can enhance simulation and vice versa.

This thesis addresses these limitations by developing a comprehensive framework for the automated assessment of open-ended mathematical responses. 

In this dissertation, I explore how lightweight dynamic analysis can be used to improve the reliability of Python software.

Gaba's dissertation explores the role of natural language and visualization design in shaping users' perceptions of bias in ML systems and its impact on trust.

In this thesis, I address this challenge across several computer vision problems by developing methods that adapt standard models to the open world.

Policy and legal argumentation spans thousands of public comments, book pages, and judicial opinions covering decades of United States public discourse.

This thesis addresses IMU data scarcity and energy constraints.

In this thesis, Pruthi will propose a compositional framework for causal reasoning in modular, heterogeneous systems.

This thesis develops and analyzes compact formulations for decision-making problems characterized by large action and large state sets.

This dissertation addresses key aspects of TCAP by proposing novel methodologies that enhance value estimation...