PhD Dissertation Proposal Defense
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.
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: 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...
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 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 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...
PhD Dissertation Proposal Defense: Sandeep Polisetty, Abstractions to Eliminate Redundancy in Training Graph Neural Networks on GPUs
In the first part of my thesis, I introduce split parallelism, a novel
abstraction that addresses the limitations of traditional data parallelism on GPUs.