WVAR-CRESH: Workshop on AI and Data Science in Smart Health 2021


Thursday July 22 - Friday July 23, 2021

Location (Online via Zoom)
Registration is required
Register here for the workshops
(Limited slots available)

Day 1: Thursday, July 22 (All times in EST)

10:00 - 10:15am | Introductions

- Sheena Murphy, PhD; WVU Associate VP for Research Development
- Anurag Srivastiva, PhD; 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

10:15 - 11:15am | Tutorial 1: Tracking and Combating COVID-19 Misinformation

- Dr. Nitin Agarwal; Jerry L. Maulden-Entergy Chair & Distinguished Professor, UA Little Rock, Director, COSMOS Center

11:15 - 12:15pm | Early Career Faculty Presentations

- Session Chair: Naveena Yanamala, PhD (Rutgers University)

| Artificial Intelligence-Driven System for Tele-Rehabilitation in Stroke Survivors

- Luu Khoa; Seed Co-PI (UARK)
and
- Jessica Allen; Seed Co-PI (WVU)
.

| Multi-module Recurrent Convolutional Neural Network with Transformer Encoder for ECG Arrhythmia Classification

- Minh Duc Le
;
- Thi Hoang Ngan Le; Seed Co-PI (UARK)
and
- Brijesh Patel; Seed Co-PI (WVU)
.

12:15 - 1:00pm | Lunch Break

2:00 - 2:40pm | Early Career Faculty Presentations (continued)

- Session Chair: Margaret Bennewitz, PhD (WVU)

| Personalized Health Risk Detection

- Jim Bardes; Seed Co-PI (WVU)
and
- Lu Zhang; Seed Co-PI (UARK)
.

| Spatial-temporal Correlation Analysis of Fracking and Stroke based on Geographical and Temporal Weighted Regression (GTWR)

- Chuanbo Hu
;
- Bin Li
;
- Shuo Wang; Seed Co-PI (WVU)
;
- Krishna Nalleballe; Seed Co-PI (UAMS)
and
- Xin Li
.

2:40 - 3:00pm | Coffee Break

3:00 - 5:00pm | Presentations by Other Team Members

- Session Chair: Nasser Nasrabadi, PhD (WVU)

| Dynamics of COVID-19 Misinformation Themes

- Thomas Marcoux; UALR
and
- Nitin Agarwal; UALR
.

| Detecting Adverse Drug Events using Protein Sequence-Structure Similarity Networks

- Saminur Islam; WVU
;
- Ahmed Abassi; Notre Dame
;
- Nitin Agarwal; UALR
;
- Wanhong Zheng; WVU
;
- Gianfranco Doretto; WVU
and
- Donald Adjeroh; WVU
.

| Robust and fair machine learning under distribution shift

- Xintao Wu, PhD; UARK
and
- Wei Du; UARK
.

| Learning Representations for Novelty Detection

- Ranya Almohsen; WVU
;
- Don Adjeroh; WVU
and
- Gianfranco Doretto; WVU
.

Day 2: Friday, July 23 (All times in EST)

10:00 - 10:15am | Introductions

- Xingbo Liu, PhD; Interim Associate Dean for Research, Statler Endowed Chair of Engineering, Benjamin M. Statler College of Engineering and Mineral Resources, West Virginia University
- Subrata Acharya; Program Officer, NSF EPSCoR
- Don Adjeroh, PhD; Associate Chair, LCSEE, NSF Track-2 Project Lead PI

12:15 - 1:00pm | Lunch Break

1:00 - 2:30pm | Panel Discussion

Panel Moderator: Partho Sengupta, MD (Rutgers University)
Panelists:
- Rich Fletcher, PhD; Mechanical Engineering, MIT
- Patty Mabry, PhD; HealthPartners Institute

2:30 - 2:40pm | Break


Targets and expected background / preparation

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.


Registration is required
Register here for the workshops
(Limited slots available)

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