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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.
Event date Wednesday, February 25, 2026 Event time 1:00 pm Go to all events list Event

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...
Event date Tuesday, July 22, 2025 Event time 12:00 pm Go to all events list Event

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.
Event date Friday, April 10, 2026 Event time 11:30 am Go to all events list Event

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...
Event date Friday, August 22, 2025 Event time 11:00 am Go to all events list Event

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.
Event date Friday, April 10, 2026 Event time 3:00 pm Go to all events list Event

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.
Event date Wednesday, September 17, 2025 Event time 10:00 am Go to all events list Event

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.
Event date Monday, April 13, 2026 Event time 3:00 pm Go to all events list Event

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.
Event date Friday, September 19, 2025 Event time 3:00 pm Go to all events list Event

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
Event date Friday, September 26, 2025 Event time 1:00 pm Go to all events list Event

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.
Event date Friday, October 10, 2025 Event time 12:00 pm Go to all events list Event

PhD Dissertation Proposal: Miguel Fuentes, Synthetic Data with Applications to Privacy and Ecology

This dissertation shows that two distinct fields - differential privacy and computational ecology - can be addressed through a unified methodological framework.
Event date Thursday, November 13, 2025 Event time 3:00 pm Go to all events list Event

PhD Dissertation Proposal Defense: Purity Mugambi, Leveraging Data Science and Machine Learning to Discover and Intervene on Treatment Disparities Captured in EHR Datasets

This thesis seeks to understand the extent of health inequity captured in EHR data and investigate how ML models can be redesigned to ensure they maintain...
Event date Thursday, April 24, 2025 Event time 12:00 pm Go to all events list Event

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