• About
• Projects
• Publications
• Teaching

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)

• Julian Panetta (Caltech)
  • "Using Image Processing and Machine Learning to Detect and Classify Mars Surface Features" (summer 2008)
• Alex Roper (Caltech)
  • "Using Machine Learning to Predict Crop Yield from Multispectral Satellite Images" (summer 2007)
• Michael Kocurek (Caltech '07)
  • "Improving HARVIST: Using Progressive Trained Classifiers and Multisource Regression to Predict Crop Yield" (summer 2006)
  • "The Optimization of Trained and Untrained Image Classification Algorithms for Use on Large Spatial Datasets" (summer 2005)
• Henry Shu (Caltech '05)
  • "Clustering with Nonuniform Feature Space Dimensionality" (summer 2004)

Graduate students

• Brian Bue (Rice)
  • I served as Brian's GSRP Fellowship mentor, 2007-present.
• Umaa Rebbapragada (Tufts)
  • Summer intern at JPL, 2008
• Qianjun Xu (UMBC Ph.D. '06)
  • I served as a member of Qianjun's dissertation committee, 2004-2006.
  • Dissertation: "Active Querying for Semi-supervised Clustering"