URAP

Ahmed Alaa - Professor, Electrical Engineering and Computer Science

Status: Full- no new appr needed     Weekly Hours: 12 or more hours     Location: On Campus

Conformal prediction (CP) is a model-agnostic and distribution-free method for quantifying uncertainty in black-box machine learning (ML) models. CP can be used to construct prediction sets/intervals that covers the true labels with a pre-determined probability as long as the training and testing data are exchangeable...

Ahmed Alaa - Professor, Electrical Engineering and Computer Science

Status: Full- no new appr needed     Weekly Hours: 12 or more hours     Location: On Campus

Vision-Language Models (VLM) can support clinicians by analyzing medical images and engaging in natural language interactions to assist in diagnostic and treatment tasks. However, VLMs often exhibit "hallucinogenic" behavior, generating textual outputs not grounded in contextual multimodal information. This challenge is particularly pronounced in the medical domain, where we...

Ahmed Alaa - Professor, Electrical Engineering and Computer Science

Status: Current Term Now Closed     Weekly Hours: 12 or more hours     Location: On Campus

Community health workers need to navigate guidelines to make healthcare decisions for patients. The goal of this project is to develop an LLM-based system to assist community health workers retrieve information for the patient hand using multiple international guidelines...

Ahmed Alaa - Professor, Electrical Engineering and Computer Science

Status: Full- no new appr needed     Weekly Hours: 12 or more hours     Location: On Campus

Institutional constraints and concerns over patient privacy impedes sharing of clinical data among researchers. High-fidelity synthetic data that mimics the real data distribution without revealing real data for individual patients can help empower and democratize research applying machine learning models to clinical problems. In this project, we will use...