PhD Dissertation Proposal Defense
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.
PhD Dissertation Proposal Defense: Aimen Gaba, Natural Language and Visual Design Can Influence Trust and Bias Perception in AI
Gaba's dissertation explores the role of natural language and visualization design in shaping users' perceptions of bias in ML systems and its impact on trust.
PhD Dissertation Proposal Defense: Juhyeon Lee, Advancing Objective Motor Severity Assessment in Cerebellar Ataxias Using Wearable Sensors and Machine Learning
Cerebellar ataxias are a group of etiologically diverse neurological diseases that cause dysfunction of the cerebellum and related pathways.
PhD Dissertation Proposal Defense: Yunda Liu, Advancing Objective Assessment of Physical and Behavioral Phenotypes Using Wearable and Mobile Technologies
This dissertation focuses on advancing wearable technology-based models for assessing physical and behavioral phenotypes.
PhD Dissertation Proposal Defense: Dhawal Gupta, Improving Temporal Credit Assignment in Reinforcement Learning
This dissertation addresses key aspects of TCAP by proposing novel methodologies that enhance value estimation...