During a JPL internship in 2012, Gary investigated the use of
unsupervised analysis and active learning to assess sources of radio
frequency interference in data collected by large radio telescopes.
Thamme Gowda
(University of Southern California, M.S. '17; now at USC ISI)
During a JPL internship from 2016 to 2017, Thamme contributed many
innovations and advances to the Mars Target Encyclopedia project
and deep learning for planetary image classification.
Amit Jain (California State University, L.A., M.S. '09)
I served as an external advisor for Amit's Master's thesis work on
evaluating collaborative recommendation systems, 2008-2009.
Hannah Kerner
(Arizona State University, Ph.D. '19, now at Arizona State University)
I served as a member of Hannah's dissertation committee, 2018-2019.
Dissertation: "Machine Learning on Mars: A New Lens on Data from Planetary Exploration Missions"
During two JPL internships, Hannah developed deep learning methods
for change detection in orbital remote sensing images for planetary science
(2018) and novelty detection methods in Mars rover image data sets (2019).
During a JPL internship in 2021, Yuan investigated methods for
performing relation extraction in scientific publications for
the Mars Target Encyclopedia project.