Machine Learning and Instrument Autonomy Group

     Dr. Lukas Mandrake is a senior researcher and group supervisor of the Machine Learning (ML) and Instrument Autonomy group at JPL since 2002. His group brings ML techniques to bear against a wide range of applied problems in space, science, technology, and medicine. Our products have empowered flight missions (MSL Curiosity rover, MER Opportunity/Spirit rovers, EO-1, OCO-2/3…), advanced the state of the art for commercial customers like Kaiser, Statoil, and Chevron, were infused into numerous university settings, and addressed governmental agency needs (USDA, DOE, and DOD). Specifically, Mandrake specializes on scoping a question to make it answerable given available data, followed by creating ML-based solutions that are explainable and scientifically defensible (e.g. no “black box”).

     Lukas is also an ML liaison to the Information and Data Science program office at JPL, bringing a “trench-view” perspective on data science to the highest levels of strategy. He is passionate about bringing Data Science and especially ML to the JPL science community as well as the Ops and On-board autonomy systems. Oftentimes, these low-hanging fruits remain untouched due to cultural and perception differences between siloed areas of specialization; Lukas has been functioning as a liaison to ease the technological transfer of ML into these high-impact areas with significant success and over twenty major publications in applied ML application.

     While working on the Orbiting Carbon Observatory (OCO-2) mission, he invented a unique system for estimating the uncertainty of observations called the Data Ordering Genetic Optimization (DOGO). DOGO went on to place 2nd for the prestigious, NASA-wide Software of the Year award. Mandrake is also an enthusiastic and award-winning speaker & educator, bringing the promise of ML to new fields and applications as well as science education in general. He passionately works to educate children in science literacy and critical thinking, and has hosted hundreds of school children on interactive tours of JPL.

     Prior to his work at JPL and during his educational training, Mandrake built models of rental income vs. apartment amenities for real estate, coded and wrote dialog for several major computer games, and constructed a unique plasma simulator for auroral investigations.

     Mandrake entered college at the age of thirteen and spent his “high school” years exploring college topics in mathematics, chemistry, and physics. He received a bachelor’s degree (BSE) in Engineering Physics from the University of Arizona in 1995. He went on to receive a Masters in Theoretical Plasma Physics and a PhD in Computational Plasma Physics from the University of California, Los Angeles in 2002. While there, he also implemented and oversaw new, computerized physics labs for undergraduates, receiving several outstanding teaching awards.

    

Contact

Phone: (818) 354-1705
Email: lukas.mandrake@jpl.nasa.gov
Office: 158-201B

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

Education

Physics (PHD) - University of California Los Angeles
Physics (MS) - University of California Los Angeles
Engineering Physics (BS) - University of Arizona

Research Interests

Interpretable Machine Learning
Genetic Algorithms
Data-Driven Science
Data Quality Estimation
Compute-constrained Machine Learning

Publications


David R. Thompson, Lukas Mandrake, Robert O. Green, Steve Chien., A Case Study of Subpixel Target Detection in Multimodal and Outlier-contaminated Scenes.. IEEE Geoscience and Remote Sensing Letters, vol. 10 no. 5, 2013.. (Link to Document) (CL#12-5258)

Lukas Mandrake, Brian Wilson, Chun-ming Wang, George Hajj, Anthony Mannucci, Xioquing Pi., A performance evaluation of the operational Jet Propulsion Laboratory / University of Southern California Global Assimilation Ionospheric Model (JPL/USC GAIM).. Journal of Geophysical Research: Space Physics (1978--2012). (Link to Document) (CL#05-0886)

Lukas Adaptation of the AMDIS Method to Flight Status on the VCAM Instrument. (CL#11-2376) Publisher: NASA Tech Briefs.

Lukas Mandrake, Seungwon Lee, Benjamin Bornstein, Brian Bue., Adapting AMDIS for Autonomous Spectral Identification of Hazardous Compounds for ISS Monitoring.. Proceedings of the 30th IEEE Aerospace Conference. (Link to Document) (CL#08-4703)

Lukas David R. Thompson, Advanced Multimission Operations System (ATMO). (CL#13-2375) Publisher: NASA Tech Briefs.

Lukas An Empirical Metric of Individual Datapoint Utility Given Ample Metadata as Applied to the OCO-2 Flight System}. (Link to Document) (CL#14-3458) Publisher: NASA Tech Briefs.

Lukas Mandrake, David R. Thompson, Martha Gilmore, Rebecca Castano, Eldar , Automated Neutral Region Selection Using Superpixels.. Proceedings of the IEEE WHISPERS conference. (Link to Document) (CL#10-0557)

David R. Thompson, Martha Gilmore, Lukas Mandrake, Rebecca Castano., Automatic Detection of Water and Mafics in M3 Radiance Images.. LPSC. (Link to Document) (CL#11-0002)

Kiri L. Wagstaff, Ravi Kiran, Lukas Mandrake, Norbert Schorghofer, Alexander Smith, Ben Bornstein., Big Data Tools Come to Mars: Content-Based Analysis of Mars Orbital Imagery.. 8th International Conference on Mars.. (Link to Document) (CL#14-2730)

Lukas Data Ordering Genetic Optimization (DOGO) System. Nasa Tech Briefs. (CL#15-2376)

Lukas Kiri L. Wagstaff, Umaa D. Rebbapragada, Detecting an Extreme Minority Class in Hyperspectral Data Using Machine Learning. NASA Tech Breifs. (CL#14-2373)

Lukas DOGO Bringing Order to Chaos. NASA Software of the Year Submission from JPL. (Link to Document) (CL#15-5454)

Lukas DOGO - Brining Order to Chaos. NASA Software of the Year Presentation. (Link to Document) (CL#15-5454) Publisher: NASA.

Lukas Mandrake, Gary Doran., DOGO Warn Levels: You've Got Them, Let's Use Them.. OCO-2 Science Team Meeting. (CL#15-5001)

L. Mandrake, D. R. Thompson, M. Gilmore, R. Castano., Hii-HAT: an IDL/ENVI Toolkit for Rapid Hyperspectral Inquiry.. 41st Lunar and Planetary Sciences. (Link to Document) (CL#10-0569)

Lukas Benjamin J. Bornstein, Stojan Madzunkov, John A. MacAskill, Histogrammatic Method for Determining Relative Abundance of Input Gas Pulse. NASA Tech Breifs. (CL#12-2376)

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. (Link to Document) (CL#09-2372)

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. (Link to Document) (CL#09-0103)

Lukas Informing Climate Retrieval Development Using Data Mining. Interface 2013. (Link to Document) (CL#13-1530) Publisher: Chapman University.

Kiri L. Wagstaff, Gary B. Doran, Ravi Kiran, Lukas Mandrake, Norbert Schorghofer, and Alice Stanboli., Landmark Classification and Content-Based Search for Mars Orbital Imagery.. Second Planetary Data Workshop.. (CL#15-1429)

David R. Thompson, Lukas Mandrake, Robert O. Green, Mixture-Tuned, Clutter Matched Filter for Remote Detection of Subpixel Spectral Signals. NASA Tech Briefs. (CL#13-2373)

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. (Link to Document) (CL#08-4689)

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. (Link to Document) (CL#09-1964)

Seungwon Lukas Mandrake, Benjamin J. Bornstein, Brian D. Bue, Quantification of Trace Chemicals Using the Vehicle Cabin Atmosphere Monitor. NASA Tech Briefs. (CL#14-2375)

Seungwon Lee, Lukas Mandrake, Benjamin Bornstein, Brian Bue., Quantification of Trace Chemicals using Vehicle Cabin Atmosphere Monitor.. Proceedings of the 30th IEEE Aerospace Conference. (Link to Document) (CL#09-1960)

Lukas Mandrake, C. Frankenberg, C. W. O'Dell, G. Osterman, P. Wennberg, D. Wunch., Semi-autonomous Sounding Selection for OCO-2.. Atmospheric Measurement Techniques. (CL#13-4317) Publisher: pp. 2851-2864.

David R. Thompson, Lukas Mandrake, Martha Gilmore, Rebecca Castano, Superpixel Endmember Detection. Transactions on Geosciences and Remote Sensing. (Link to Document) (CL#10-2172) Publisher: 48(11) 4023-4033.

Martha S. Gilmore, David R. Thompson, Laura J. Anderson, Nader Karamzadeh, Lukas Mandrake, Rebecca Castano, Superpixel Segmentation for Analysis of Hyperspectral Data Sets with Application to Compact Reconnaissance Imaging Spectrometer for Mars Data, Moon Mineralogy Mapper Data, and Ariadnes Chaos, Mars. (Link to Document) (CL#11-1799)

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. (Link to Document) (CL#11-3813)

M. R. Darrach, A. Chutjian, B. J. Bornstein, A. P. Croonquist, V. Garkanian, V. R. Haemmerle, W. M. Heinrichs, D. Karmon, J. Kenny, R. D. Kidd, S. Lee, J. A. MacAskill, S. M. Madzunkov, L. Mandrake, T. M. Rust, R. T. Schaefer, J. L. Thomas, N. Toomarian., Validation Test Results from the Vehicle Cabin Atmosphere Monitor.. International Conference on Environmental Systems (ICES). (Link to Document) (CL#10-0419)

Lukas Gary Doran, Warn Levels, A Quick Guide. (Link to Document) (CL#15-5001)

Lukas Mandrake, Gary Doran., Warn Levels: Ordering Data for Custom Filtration.. International Greenhouse Gas Measurement Workshop (IWGGMS) proceedings, June 2015, Caltech.. (Link to Document) (CL#15-2371)

Dr. Lukas Mandrake