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Dr. Baback Moghaddam
Mail Stop 306-463
4800 Oak Grove Drive
Pasadena, CA 91109
| Office: |
306-456 |
| Phone: |
(818) 354-2395 |
| FAX: |
(818) 393-6141 |
| Email: |
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| Education: |
Ph.D., Massachusetts Institute of Technology, 1997 |
| Interests: |
Bayesian Statistics, Machine Learning, Computer Vision, Sparse Optimization, Spectral Graph Theory
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| Bibliography: |
Citeseer,
Google
Scholar,
Libra,
DBLP,
CSB
[External]
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Biography: Baback Moghaddam joined the Jet Propulsion
Laboratory in 2007 as a Principal Member, with the Machine Learning
and Instrument Autonomy Group. Prior to JPL he was a Senior Research
Scientist at the Mitsubishi Electric Research Laboratory (MERL) since
1997. He received his Ph.D. in Electrical Engineering and Computer
Science from the Massachusetts Institute of Technology in 1997, where
he was a member of the Vision & Modeling Group of the MIT Media
Laboratory since 1992. As part of his doctoral work at MIT he
developed an automatic face recognition system which won the 1996
DARPA "FERET" Face Recognition competition. During his 10 years as a
Research Scientist at MERL he authored numerous papers on 2D face
recognition and 3D facial modeling in leading journals and conferences
(including the core chapter in Springer-Verlag's Biometric Series:
The Handbook of Face Recognition). He was also the recipient of the
2001 Pierre Devijver Prize from the International Association of
Pattern Recognition for his innovative work on Bayesian Face
Recognition. Dr. Moghaddam has over 70 publications and 10 patents in
the areas of computer vision, statistical modeling, pattern
recognition and machine learning.
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| Some Recent Publications:
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Baback Moghaddam, Amit Gruber, Yair Weiss and Shai Avidan.
Sparse Regression as a Sparse Eigenvalue Problem.
Information Theory & Applications Workshop (ITA'08), January 2008.
Download PDF
(CL #08-4561)
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Baback Moghaddam, Yair Weiss and Shai Avidan.
Fast Pixel/Part Selection with Sparse Eigenvectors.
Proceedings of the 11th IEEE International Conference on Computer Vision (ICCV'07), October 2007.
Download PDF
(CL #07-2491)
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