About
Projects
Publications
Teaching
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What I Learned Today
Special issue of Machine Learning:
Machine Learning in Space
The
Kiri L. Wagstaff AI/ML Scholarship
Alizarin tetris
(networked tetris game with AI players)
My
photos
My
old website
Contact: wkiri@jpl.nasa.gov
2011
CS 407H / HC 407: The Evolution of Computing and its Impact on History (honors seminar)
(Oregon State University)
2009
CS 461: Machine Learning
(California State University, Los Angeles)
2008
CS 461: Machine Learning
(California State University, Los Angeles)
2007
CS 203: Programming with Data Structures
(California State University, Los Angeles)
2001
CS 100: Introduction to Java Programming (Cornell University)
I have also had the pleasure of working with several talented students:
Undergraduate students
Jillian Green (California State University, L. A., '10)
"The Explosive Potential of Collaborative Machine Learner Networks" (summer 2009)
Michael Kocurek (Caltech, B.S. '07, now at Tower Research Capital)
"The Optimization of Trained and Untrained Image Classification Algorithms for Use on Large Spatial Datasets" (summer 2005)
"Improving HARVIST: Using Progressive Trained Classifiers and Multisource Regression to Predict Crop Yield" (summer 2006)
Julian Panetta
(Caltech, B.S. '10, now at NYU)
"Using Image Processing and Machine Learning to Detect and Classify Mars Surface Features" (summer 2008)
"Detecting Mars Surface Change Using Landmark Comparison" (summer 2009)
Alex Roper
(Caltech, B.S. '09, now at Univ. of Michigan)
"Using Machine Learning to Predict Crop Yield from Multispectral Satellite Images" (summer 2007)
Henry Shu
(Caltech, B.S. '05, now at CMU)
"Clustering with Nonuniform Feature Space Dimensionality" (summer 2004)
Scott Sosnowski (Case Western Reserve University, '10)
Graduate students
Brian Bue
(Rice University)
I served as Brian's GSRP Fellowship mentor, 2007-2010.
He is studying problems at the intersection of clustering and classification and analyzing images for semantic content.
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.
Umaa Rebbapragada
(Tufts University, Ph.D., '10)
I serveed as a member of Umaa's dissertation committee, 2009-2010.
Summer intern at JPL, 2008; she focused on developing methods for collaborative learning in sensor networks.
Qianjun Xu (University of Maryland, Baltimore County, Ph.D. '06)
I served as a member of Qianjun's dissertation committee, 2004-2006.
Dissertation: "Active Querying for Semi-supervised Clustering"