PhD Dissertation Proposal Defense
PhD Dissertation Proposal: Jorge Murillo, Carbon-Aware Spatial Shifting for Internet-Scale Services
This thesis explores new spatial shifting techniques to reduce carbon emissions while maintaining performance.
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...
PhD Dissertation Proposal: Hansi Zeng, Generative Information Retrieval for the Real World
In this proposal our goal is to make generative retrieval scalable and practical for real-world information retrieval systems.
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: Xiao Liu, Communication-Efficient Multi-Device Inference for Transformer Models
This dissertation studies communication-efficient multi-device inference for Transformer models under bandwidth-limited settings.
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: Prateek Mantri, Large-Scale Quantum Networks: Architecture and Performance
This thesis investigates architectural principles for large-scale quantum networks across three settings.
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: Vikas Thamizharasan, Generative Models for Parametric Curves and Surfaces
This thesis investigates generative models for parametric curves and surfaces.
PhD Dissertation Proposal Defense: Aparimit Chandra, Performance of Operational Quantum Network Processes
We focus on three fundamental processes: quantum teleportation with noisy memories, error correction in quantum storage, and distributed blind quantum computing
PhD Dissertation Proposal: Vignesh Viswanathan, Fair Allocation of Indivisible Items: New Algorithms and Hardness Results
In this thesis, I focus on the computability of allocations which maximize well known fairness objectives
PhD Dissertation Proposal: Elita Lobo, Robust Machine Learning Methods for Uncertain Environments
This thesis addresses challenges with robust algorithms tackling different aspects of uncertainty, including RL, resource allocation, explainability and LLMs.