PhD Thesis Defense
Advancing Precision Health with Clinical Foundation Models
This dissertation explores the development and application of clinical foundation models (FMs).
Data Driven Expert Assignment
Our algorithms, Greedy Expert Round Robin and FairSequence, assign experts in such a way that no request "envies" another request's assigned experts.
Developing Digital Biomarkers of Early Childhood Mental Health Using Multimodal Sensor Data
Kalanadhabhatta makes the case for an alternative sensing paradigm leveraging multimodal signals recorded during children's existing play-based interactions.
PhD Thesis Defense: Alireza Bahramali, Encrypted Network Traffic Analysis
In this thesis, Bahramali explores 2 approaches to performing traffic analysis on encrypted network traffic: a model-based approach and a data-driven approach.