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I received my Ph.D. from the Robotics Institute at the School of Computer Science in Carnegie Mellon University. My advisor was Geoffrey J. Gordon. I was a member of the SELECT Lab, which is headed by Geoffrey Gordon and Carlos Guestrin. I used to work with Andrew Moore, and I was also affiliated with the AUTON Lab. I am now a software engineer at Google Pittsburgh.
I am interested in efficient inference, learning and model selection for low-dimensional representations of dynamical systems, including latent variable models and predictive state representations, from high-dimensional data. The algorithms I work on require tools from data mining, statistical machine learning, convex optimization, matrix analysis and control theory. I apply my research to sequential data modeling and prediction problems in robot cognition, computer vision and biosurveillance. Recently, I have also been applying my work to audio event detection and robot motion planning.
Before graduate school, I studied Computer Science, Mathematics and Economics at the University of Southern California in Los Angeles, where I worked with Gaurav Sukhatme at the Robotics and Embedded Systems Lab. Prior to that, I went to school in Jeddah, Saudi Arabia. My family is originally from northern India, however, and my native language is Urdu.
Email:
siddiqi at google dot com
Updates:
12/22/09: New papers at NIPS workshop, ICASSP and AAMAS
12/10/09: Tech report on 'Closing the Learning-Planning Loop with PSRs'
now on arXiv
11/30/09: Starting new job at Google Pittsburgh!
10/15/09: Successfully presented and defended my thesis!!
10/6/09: Tech report on 'Reduced-Rank HMMs' now on arXiv
I received my Ph.D. from the Robotics Institute at the School of Computer Science in Carnegie Mellon University. My advisor was Geoffrey J. Gordon. I was a member of the SELECT Lab, which is headed by Geoffrey Gordon and Carlos Guestrin. I used to work with Andrew Moore, and I was also affiliated with the AUTON Lab. I am now a software engineer at Google Pittsburgh.
I am interested in efficient inference, learning and model selection for low-dimensional representations of dynamical systems, including latent variable models and predictive state representations, from high-dimensional data. The algorithms I work on require tools from data mining, statistical machine learning, convex optimization, matrix analysis and control theory. I apply my research to sequential data modeling and prediction problems in robot cognition, computer vision and biosurveillance. Recently, I have also been applying my work to audio event detection and robot motion planning.
Before graduate school, I studied Computer Science, Mathematics and Economics at the University of Southern California in Los Angeles, where I worked with Gaurav Sukhatme at the Robotics and Embedded Systems Lab. Prior to that, I went to school in Jeddah, Saudi Arabia. My family is originally from northern India, however, and my native language is Urdu.
Email:
siddiqi at google dot com
Updates:
12/22/09: New papers at NIPS workshop, ICASSP and AAMAS
12/10/09: Tech report on 'Closing the Learning-Planning Loop with PSRs'
now on arXiv
11/30/09: Starting new job at Google Pittsburgh!
10/15/09: Successfully presented and defended my thesis!!
10/6/09: Tech report on 'Reduced-Rank HMMs' now on arXiv