PhD Dissertation Proposal Defense
PhD Dissertation Proposal Defense: Katherine Thai, Modeling Literary Interpretation: Benchmarks and Methods for Machine Understanding of Literature
This thesis argues that if LLMs are to engage meaningfully with the full spectrum of human language, they must also demonstrate proficiency in literary analysis
PhD Dissertation Proposal Defense: Angela Upreti, Design and Implementation of optimizations for Web Assembly Extended with Transactions and Persistence
This thesis will explore optimizations related to these new opcodes and functionality.
Carbon-Aware Resource Management for Cloud Computing Platforms
In this thesis, Hanafy proposes novel resource management techniques that allow cloud users and operators to reduce their operational carbon emissions.
PhD Dissertation Proposal Defense: Shiv Shankar, Counterfactual Inference in the Era of User Privacy and Gen-AI Models
This dissertation addresses emerging challenges and proposes innovative approaches to adapt A/B testing methodologies to modern constraints while maintaining...
Ph.D. Dissertation Proposal Defense: Zafeiria (Iro) Moumoulidou, Fair and Diverse Data Selection Schemes for Data Management and Visualization
Data is generated and collected from all aspects of human activity as well as scientific measurements, simulations, and environmental monitoring.
PhD Dissertation Proposal Defense: Rajarshi Bhattacharjee, Query Efficient Algorithms for Matrix Spectrum Approximation
This thesis develops and analyzes algorithms for several key problems related to eigenvalue and eigenvector estimation...
PhD Dissertation Proposal Defense: Aimen Gaba, Natural Language and Visual Design Can Influence Trust and Bias Perception in AI
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.
PhD Dissertation Proposal: Ojaswi Acharya, Practical Advances in Modern Cryptographic Primitives
In this thesis, we identify and rectify some remaining limitations of such cryptographic constructions and their proofs of security.
PhD Dissertation Proposal Defense: Juhyeon Lee, Advancing Objective Motor Severity Assessment in Cerebellar Ataxias Using Wearable Sensors and Machine Learning
Cerebellar ataxias are a group of etiologically diverse neurological diseases that cause dysfunction of the cerebellum and related pathways.
PhD Dissertation Proposal: Deep Chakraborty, Information-Theoretic Methods for Understanding and Improving Representations in Neural Networks
In the first part of this thesis, we formulate a general-purpose information-theoretic criterion that allows further improving SSL representations.
PhD Dissertation Proposal Defense: Yunda Liu, Advancing Objective Assessment of Physical and Behavioral Phenotypes Using Wearable and Mobile Technologies
This dissertation focuses on advancing wearable technology-based models for assessing physical and behavioral phenotypes.
PhD Dissertation Proposal Defense: Dhawal Gupta, Improving Temporal Credit Assignment in Reinforcement Learning
This dissertation addresses key aspects of TCAP by proposing novel methodologies that enhance value estimation...