Bio

Mark Schwabacher completed his Ph.D. in Computer Science at Rutgers University in 1996. He has been a Computer Scientist at NASA Ames Research Center since 1998.

Current Project

• Ares I-X Ground Diagnostic Prototype (with KSC, JPL, and MSFC)

Past Projects

• Health Management for the International Space Station (ISS) Control Moment Gyroscopes (CMG) (with JSC)
• Test-Stand and J-2X Engine End-to-End Integrated System Health Management (ISHM) Capability (with SSC and Pratt & Whitney Rocketdyne)
• Liquid Propulsion System Health Management (with Pratt & Whitney Rocketdyne, MSFC, GRC, and JPL)
• Integrated Systems Health Management Testbed and Prototypes (with JSC and SSC)
• Integrated Systems Health Management for Intelligent Modular Systems (with Northrop Grumman)
• Machine Learning for Earth Science Modeling
• X-37 IVHM Experiment

Organizational Location

Intelligent Data Understanding Group
Discovery and Systems Health (DaSH) Area
Intelligent Systems Division (Code TI)
Exploration Technologies Directorate (Code T)
NASA Ames Research Center

Publications

Video

Mark Schwabacher gave a two-hour invited talk to the SF Bay Area ACM Data Mining SIG entitled “Using Supervised and Unsupervised Learning to Detect and Isolate Faults in Rocket Engines.” The talk took place on April 8 at SAP Labs in Palo Alto. The talk was videotaped by FORA.tv.
Video
Abtract

Last modified April 23, 2009