Summer School on AI & Smart Health 2020

NSF Track 2 CRESH: Summer School on AI & Smart Health 2020

Monday July 20 - Tuesday 21, 2020

Location (Online via Zoom)

The program is now ended. Thank you for visiting or participating!

See below for available recorded lecture materials.

Day 1: Monday, July 20 (All times in EST)

- Sheena Murphy, PhD; WVU Associate VP for Research Development
- Matt Valenti, PhD; Fellow IEEE, Professor and Raymond J. Lane Chair, Lane Department of Computer Science and Electrical Engineering (LCSEE)
- Don Adjeroh, PhD; Associate Chair, LCSEE, NSF Track-2 Project Lead PI

9:00 - 11:15am | Topic 1: Introduction to Machine Learning

- Dr. Gianfranco Doretto

11:15 - 11:30am | Break

11:30 - 12:30pm | Topic 2: Social Network Analysis

- Dr. Nitin Agarwal; Distinguished Professor
- Dr. Muhammad Nihal Hussain

12:30 - 1:30pm | Lunch

1:30 - 2:45pm | Topic 2 (continued)

2:45 - 3:00pm | Break

3:00 - 5:30pm | Topic 3: Introduction to Deep Learning

- Dr. Nasser Nasrabadi; IEEE Fellow

Day 2: Tuesday, July 21 (All times in EST)

9:00 - 11:15am | Topic 4. AI in Smart Health: Cardiac Imaging

- Dr. Partho Sengupta; WVU Chief of Cardiology
- Dr. Naveena Yanamala

11:15 - 11:30pm | Break

11:30 - 12:30pm | Topic 5. AI, Privacy & Fairness

- Dr. Xintao Wu; Endowed Chair
- Dr. Valerie Satskosye
- Dr. Yongkai Wu
- Dr. Lu Zhang

12:30 - 1:30pm | Break

1:30 - 2:45pm | Topic 5 (continued)

2:45 - 3:00pm | Break

3:00 - 5:00pm | Topic 6. AI in Smart Health: War On Opioids

- Dr. Xin Li; IEEE Fellow
- Nathan Utzman; Graduate Research Assistant

5:00 - 5:15pm | Break

5:15 - 7:15pm | Topic 7: Hands-on with Practical AI platforms

- Don McLaughlin

Invitation Only | Topic 8: Train-the-trainer Session

- Dr. Gay Stewart; Eberly Professor
- Dr. Don Adjeroh; Associate Chair, LCSEE

Targets and expected background / preparation

Summer school 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.

The program is now ended. Thank you for visiting or participating!

See below for available recorded lecture materials.

For more information, please contact Don Adjeroh, PhD, Professor and Associate Chair of LCSEE, Project Lead PI.