PhD Dissertation Proposal Defense
PhD Dissertation Proposal Defense: Hao Shi, Design, Implementation, and Evaluation of a Flexible Persistent Transactional WebAssembly Runtime System
This dissertation proposes integrating transactional memory directly into a WebAssembly runtime system for persistent memory programming.
PhD Dissertation Proposal Defense: Pracheta Amaranath, The Interface of Simulation and Causal Modeling
This thesis investigates the interplay between simulation and causal inference, focusing on how causal modeling can enhance simulation and vice versa.
PhD Dissertation Proposal Defense: Mengxue Zhang, AI-Driven Analysis, Scoring, and Generation for Open-Ended Mathematical Reasoning
This thesis addresses these limitations by developing a comprehensive framework for the automated assessment of open-ended mathematical responses.
PhD Dissertation Proposal Defense: Zachary While, Toward Broadening Data Visualization Design to People in Late Adulthood
While's dissertation work lays the groundwork for this new subfield of visualization research called GerontoVis.
PhD Dissertation Proposal: Juan Altmayer Pizzorno, Efficient and Effective Test Generation and Type Inference for Python Applications
In this dissertation, I explore how lightweight dynamic analysis can be used to improve the reliability of Python software.
PhD Dissertation Proposal Defense: Ankita Gupta, Understanding Argumentative and Persuasive Texts at Scale
Policy and legal argumentation spans thousands of public comments, book pages, and judicial opinions covering decades of United States public discourse.
PhD Dissertation Proposal: Ashish Singh, Side-Information Guided Open-World Novelty Detection
In this thesis, I address this challenge across several computer vision problems by developing methods that adapt standard models to the open world.
PhD Dissertation Proposal Defense: Purva Pruthi, Compositional Models for Causal Reasoning
In this thesis, Pruthi will propose a compositional framework for causal reasoning in modular, heterogeneous systems.
PhD Dissertation Proposal: Ignacio Gavier, Overcoming Data and Energy Challenges in Wearable IMU-based Learning
This thesis addresses IMU data scarcity and energy constraints.
PhD Dissertation Proposal Defense: Arisa Tajima, Advancing End-to-End Privacy in Machine Learning: Input, Output, and Beyond
This dissertation addresses key aspects of TCAP by proposing novel methodologies that enhance value estimation...
PhD Dissertation Proposal: Shreyas Chaudhari, Compact Reinforcement Learning: Resource-Efficient Formulations for Large-Scale Decision Making
This thesis develops and analyzes compact formulations for decision-making problems characterized by large action and large state sets.
PhD Dissertation Proposal Defense: Mengxue Zhang, Scalable and Robust AI-Driven Scoring System for Open-Ended Mathematical Reasoning
This thesis explores AI-driven methods to improve the robustness and scalability of grading and feedback systems.