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 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: 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: 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: 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: 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.
PhD Dissertation Proposal Defense: Oindrila Saha, Fine-Grained Recognition with Limited Supervision
This thesis advances fine-grained recognition under limited supervision through several complementary approaches.
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.
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...
PhD Dissertation Proposal: Fadhil Kurnia, Flexible and Secure Replication of Blackbox Stateful Services at the Edge
This dissertation presents a new foundation for flexible and secure replication of blackbox stateful services.
PhD Dissertation Proposal Defense: Cecilia Ferrando, Differentially Private Statistical Learning: Uncertainty Estimation and Utility Preservation
This thesis contributes novel methods for differentially private statistical learning, with a focus on improving the usability of private inference...