PhD Thesis Defense
PhD Thesis Defense: Avijit Mitra, Advancing the Knowledge of Social and Behavioral Determinants of Health Using AI in Health Outcome Research
This dissertation explores the potential of NLP to extract, analyze, and apply SBDH information to advance clinical insights.
PhD Thesis Defense: Karine Karine, Methods and Tools for Learning from Uncertain and Incomplete Longitudinal Data
In this thesis, we study methods and tools for learning from uncertain and incomplete longitudinal data.
PhD Thesis Defense: Katherine Thai, Modes of Human–AI Collaboration in Text: Benchmarks, Metrics, and Interpretive Tasks
This thesis investigates how LLMs can assist, transform, and extend human work across three specific tasks: translation, editing, and literary interpretation.
PhD Thesis Defense: William Rebelsky, Working Towards Universal Computational Literacy
This dissertation categorizes skills that fall under computational thinking and describes our work towards improving student learning and engagement.
PhD Thesis Defense: Sohaib Ahmad, Optimized Resource Allocation for Serving Deep Learning Models
This thesis aims to maximize the resource efficiency of DL model serving by
optimizing resource allocation.
PhD Thesis Defense: Erica Cai, From Text to Networks: Enabling and Investigating Social Measurement via Low-Resource Knowledge Graph Extraction
The thesis is motivated by the challenge of extracting structured instances of action or relationship occurrences from large amounts of unstructured text to...