10:00 - 10:15am | Introductions
10:15 - 11:15am | Tutorial 1: Tracking and Combating COVID-19 Misinformation
11:15 - 12:15pm | Early Career Faculty Presentations
Artificial Intelligence-Driven System for Tele-Rehabilitation in Stroke Survivors
12:15 - 1:00pm | Lunch Break
1:00 - 2:00pm | Keynote 1: Artificial Intelligence and mHealth Technologies for Disease Screening and Diagnostics
2:00 - 2:40pm | Early Career Faculty Presentations (continued)
2:40 - 3:00pm | Coffee Break
Topological Data Analysis for Understanding New Taxonomy of Cardiovascular Diseases
Detecting Adverse Drug Events using Protein Sequence-Structure Similarity Networks
Learning Representations for Novelty Detection
OCT Image Segmentation Using a Multi-Stage & Multi-Discriminatory Generative Adversarial Network
10:00 - 10:15am | Introductions
10:15 - 11:15am | Keynote 2: Getting to Smart*ER* Health: Perspectives on the Future of Sensors+AI+Modeling and Simulation
12:15 - 1:00pm | Lunch Break
1:00 - 2:30pm | Panel Discussion
2:30 - 2:40pm | Break
2:40 - 4:00pm | General Meeting (Project team members only)
Workshop attendees are expected to be undergraduate seniors, graduate students, faculty, and others with appropriate background or interests.
Level of treatment will be appropriate for a senior undergraduate/first year graduate student, with a general background in science, engineering, or in the biomedical field. Others with background in business or quantitative social science, such as economics should also be able to follow most of the material.
For more information, please contact Don Adjeroh, PhD, Professor and Associate Chair of LCSEE, Project Lead PI.