Artificial Intelligence Virtual Workshop - July 31
On Tuesday, July 31, TRISH will livestream a one-day workshop on Artificial Intelligence (AI) and Machine Learning that might be applied to technologies and countermeasures for long-duration human space flight. Recognized experts from academia and industry will offer presentations on topics from wearable technology to AI to Deep Learning in this free virtual forum open to the public.
The event will be recorded and posted to this webpage for those unable to join live.
NOTE: All times listed are Pacific Time.
Welcome and Introductions
8:45 a.m. - Steve Mayo, Ph.D.
Overview and NASA Perspective
9:00 a.m. - Mark Shelhamer, Sc.D.
Sensors and Health Data Generation
9:30 a.m. - Wei Gao, Ph.D., presents "Wearable Sweat Biosensors for Continuous Health Monitoring"
10:00 a.m. - Morteza Gharib, Ph.D., presents "Non-invasive Cardio-vascular Monitoring"
Data Aggregation, Analysis, and Action
11:00 a.m. - Elizabeth Keller, M.A., presents "Content Analysis of Space Biology Research: Identifying Knowledge Gaps to Inform Strategic Planning"
11:30 a.m. - Jonathan Krause presents "Using Deep Learning to Predict Diabetic Retinopathy and Other Eye Diseases"
12:00 p.m. - Leroy Hood, M.D., Ph.D., presents "Human Dense Phenotyping and Big Data Analyses: Optimizing Wellness and Avoiding Disease for each Individual"
Human Interactions/Human Performance
1:30 p.m. - Maja Mataric, Ph.D., presents "Human-Robot Interaction for Preventative and Therapeutic Socially Assistive Robots"
2:00 p.m. - Dawn Kernagis, Ph.D., presents "Performance in Extreme Environments"
2:30 p.m. - Aenor Sawyer, M.D., presents "Current and Future Directions of AI and Human Performance"
Print the AI Workshop flyer.
Partnering with NASA through a cooperative agreement, the Translational Research Institute for Space Health (TRISH) funds high-risk, high-reward, transformative human health technologies to predict, protect, and preserve astronaut physical and mental wellness during deep space exploration missions.