PhD Dissertation Proposal Defense
PhD Dissertation Proposal Defense: Mengxue Zhang, Scalable and Robust AI-Driven Scoring System for Open-Ended Mathematical Reasoning
This thesis explores AI-driven methods to improve the robustness and scalability of grading and feedback systems.
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.
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.
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: 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.
Fast, Scalable, Warm-start Semidefinite Programming with Application to Knowledge Editing and Mixed Integer Semidefinite Optimization
Semidefinite programming (SDP) has traditionally been limited to moderate-sized problems.
Calibrating Trust in Visualization through the Manipulation of Visual Complexity
Hamza Elhamdadi presents their PhD Dissertation Proposal Defense, "Calibrating Trust in Visualization through the Manipulation of Visual Complexity."
PhD Dissertation Proposal Defense: Cen Wang, Deep Learning for Discrete Event Simulations
This thesis explores how deep learning can solve existing problems and uncover new applications for simulation.