PhD Dissertation Proposal Defense
Ph.D. Dissertation Proposal Defense: Minhao Cui, Exploiting Pervasive Leakage EM Signals for Communication, Charging, and Sensing
Minhao Cui aims to leverage the pervasive ambient leakage signals, which are typically seen as detrimental, to enhance wireless communication performance.
PhD Dissertation Proposal Defense: Shib Dasgupta, Learning Set Theoretic Representation With Box Embeddings
In this thesis, Dasgupta proposes a matrix completion framework that incorporates set-theoretic dependencies, using box embeddings to represent entities...
PhD Dissertation Proposal Defense: Arjun Karuvally, Beyond the Hopfield Memory Theory: Dynamic Energy Landscapes and Traveling Waves in RNNs
In this thesis, Karuvally proposes two frameworks—Dynamic Energy Theory and Wave Theory—to explain RNN memory dynamics.
PhD Dissertation Proposal Defense: Tanya Chowdhury, Interpreting Ranking Models: From Feature Attributions to Mechanistic Comprehension
PhD Dissertation Proposal Defense: Tanya Chowdhury
PhD Dissertation Proposal Defense: Bhawana Chhaglani, Privacy-Aware Ubiquitous Sensing Systems for Healthy Indoor Environments
In this thesis proposal, Chhaglani will present novel, privacy-preserving sensing systems designed to monitor ventilation rate and aerosol emissions.
PhD Dissertation Proposal Defense: Janice Yu Zhen Chen, Toward Resource-Efficient Decision-Making for Networked Systems
This dissertation focuses on developing resource-efficient decision-making policies to address key challenges in various networked systems.
PhD Dissertation Proposal Defense: Yixiao Song, Advancing AI Factuality via Comprehensive Evaluation
This thesis addresses the urgent need for more robust evaluation methodologies by developing scalable, accurate tools and benchmarks for factuality assessment.
PhD Dissertation Proposal Defense: Abhinav Bhatia, Learning to Think about Thinking: Metareasoning with Deep Reinforcement Learning for Efficient and Safe Decision-Making
This thesis significantly generalizes the scope of metareasoning by treating any factor that restricts an agent's ability to optimize its core objective.
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
Resource Allocation in Quantum Networks
The primary responsibility of first and second-generation quantum networks
will be to facilitate the delivery of bipartite quantum entanglements.
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.