Machine Learning and Instrument Autonomy Group

Contact

Email: umaa.d.rebbapragada@jpl.nasa.gov
Office: 158-201A

Mail Stop: 158-242
4800 Oak Grove Drive
Pasadena, CA 91109

Education

Computer Science (PhD) - Tufts University
Computer Science (MS) - Tufts University
Mathmatics (BS) - University of California Berkeley

Research Interests

Publications

Paper Icon Kiri L. Wagstaff, Alphan Altinok, Steve Chien, Umaa Rebbapragada, Steve Schaffer, David R. Thompson, and Daniel Tran. Cloud Filtering and Novelty Detection using Onboard Machine Learning for the EO-1 Spacecraft. IJCAI 2017 Workshop on AI in the Oceans and Space. (Link to PDF) (CL#17-2844)

Paper Icon Gary Doran, Umaa Rebbapragada, Eugenie Song, Kiri L. Wagstaff, Daniel Gaines, Robert Anderson, Ashwin Vasavada. Scientist-Guided Autonomy for Self-Reliant Rovers. IJCAI 2017 Workshop on AI in the Oceans and Space. (Link to PDF) (CL#17-3749)

Paper Icon Brian D. Bue, Kiri L. Wagstaff, Umaa D. Rebbapragada, David R. Thompson, and Benyang Tang. Astronomical Data Triage for Rapid Science Return. Proceedings of the Big Data from Space Conference, 2014. (Link to PDF) (CL#14-4231)

Paper Icon Lukas Mandrake and Kiri L Wagstaff and Umaa D Rebbapragada. Detecting an Extreme Minority Class in Hyperspectral Data Using Machine Learning. NASA Tech Briefs, 2014. (Link to PDF) (CL#14-2373)

Paper Icon Kitty K. Lo, Tara Murphy, Umaa Rebbapragada, Kiri L. Wagstaff. Online Classification for Time-Domain Astronomy. Proceedings of the Astroinformatics workshop, IEEE International Conference on Data Mining, 2013. (Link to publisher's page) (CL#13-5024)

Paper Icon Tara Murphy, Shami Chatterjee, David L. Kaplan, Jay Banyer, Martin E. Bell, Hayley E. Bignall, Geoffrey C. Bower, Robert Cameron, David M. Coward, James M. Cordes, Steve Croft, James R. Curran, S. G. Djorgovski, Sean A. Farrell, Dale A. Frail, B. M. Gaensler, Duncan K. Galloway, Bruce Gendre, Anne J. Green, Paul J. Hancock, Simon Johnston, Atish Kamble, Casey J. Law, T. Joseph W. Lazio, Kitty K. Lo, Jean-Pierre Macquart, Nanda Rea, Umaa Rebbapragada, Cormac Reynolds, Stuart D. Ryder, Brian Schmidt, Roberto Soria, Ingrid H. Stairs, Steven J. Tingay, Ulf Torkelsson, Kiri Wagstaff, Mark Walker, Randall B. Wayth, Peter K. G. Williams. VAST: An ASKAP Survey for Variables and Slow Transients. Publications of the Astronomical Society of Australia, 30, 2013. (Link to publisher's page) (CL #13-3375)

Paper Icon Lukas Mandrake, Umaa Rebbapragada, Kiri Wagstaff, David Thompson, Steve Chien, Daniel Tran, Robert T. Pappalardo, Damhnait Gleeson, Rebecca Castano. Surface Sulfur Detection via Remote Sensing and Onboard Classification. Transactions on Intelligent Systems and Technology, 2012. Download PDF (CL #11-3813)

Paper Icon Umaa Rebbapragada and Kitty Lo and Kiri L. Wagstaff and Colorado Reed and Tara Murphy. Offline and Online Classification of Simulated VAST Transients. VAST Memo #5. Download PDF (CL#12-0867)

Paper Icon Thomas Oommen and Umaa Rebbapragada and Daniel Cerminaro. Earthquake Damage Assessment using Objective Image Segmentation: A Case Study of the 2010 Haiti Earthquake. Proceedings of the GeoCongress 2012. Download PDF (CL#12-0117)

Carla E. Brodley and Umaa Rebbapragada and Kevin Small and Byron C. Wallace. Challenges and Opportunities in Applied Machine Learning. AI Magazine. (CL#11-5597)

Paper Icon Umaa Rebbapragada and Kitty Lo and Kiri L. Wagstaff and Colorado Reed and Tara Murphy and David R. Thompson. Classification of ASKAP VAST Radio Light Curves. Proceedings of the International Astronomical Union (IAU 285). Download PDF (CL#12-0266)

Paper Icon Dayton L. Jones, Kiri L. Wagstaff, David R. Thompson, Larry D'Addario, Robert Navarro, Chris Mattman, Walid Majid, Umaa Rebbapragada, Joseph Lazio, Robert Preston. Fast Transient Detection as a Prototypical Big Data Problem. Proceedings of the International Astronomical Union (IAU 285). Link to Publisher (CL#11-4808)

Paper Icon Umaa Rebbapragada and Thomas Oommen. Integrating Machine Learning into a Crowdsourced Model for Earthquake-Induced Damage Assessment. Proceedings of the ICML Workshop on Machine Learning for Global Challenges, July 2011. Download PDF (CL#11-2531)

Paper Icon Umaa Rebbapragada and Kiri L. Wagstaff. Using Ensemble Decisions and Active Selection to Improve Low-Cost Labeling for Multi-View Data. Proceedings of the ICML Workshop on Combining Learning Strategies to Reduce Label Cost, July 2011. Download PDF (CL#11-2283)

Paper Icon Lukas Mandrake, Kiri L. Wagstaff, Damhnait Gleeson, Umaa Rebbapragada, Daniel Tran, Rebecca Castano, Steven Chien, Robert T. Pappalardo. Onboard SVM Analysis of Hyperion Data to Detect Sulfur Deposits in Arctic Regions. Proceedings of the IEEE WHISPERS conference, August 2009. Download PDF (CL #09-1964)

Paper Icon Lukas Mandrake, Kiri L. Wagstaff, Damhnait Gleeson, Umaa Rebbapragada, Daniel Tran, Rebecca Castano, Steven Chien, Robert T. Pappalardo. Hyperspectral Sulfur Detection Using an SVM with Extreme Minority Positive Examples Onboard EO-1. IJCAI AI in Space Workshop Conference, July 2009. Download PPT (CL #09-2372)

Paper Icon Lukas Mandrake, Kiri L. Wagstaff, Damhnait Gleeson, Umaa Rebbapragada, Daniel Tran, Rebecca Castano, Steven Chien, Robert T. Pappalardo. Onboard Detection of Natural Sulfur on a Glacier via an SVM and Hyperion Data. Proceedings of the 30th IEEE Aerospace Conference, March 2009. Download PDF (CL #08-4689)

Paper Icon Umaa Rebbapragada, Lukas Mandrake, Kiri L. Wagstaff, Damhnait Gleeson, Rebecca Castano, Steve Chien, Carla E. Brodley. Improving Onboard Analysis of Hyperion Images by Filtering Mislabeled Training Data Examples. Proceedings of the 30th IEEE Aerospace Conference, March 2009. Download PDF (CL #09-0103)


Dr. Umaa Rebbapragada