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Carlos Guestrin


I am the Finmeccanica assistant professor in the Machine Learning Department and in the Computer Science Department at Carnegie Mellon University. I co-direct the Sense, Learn, and Act (Select) Lab with Geoff Gordon. In 2003-2004, I spent a year as a senior researcher at the Intel Research Lab in Berkeley. In August 2003, I received my Ph.D. in Computer Science from Stanford University. I received a Mechatronics Engineer (Mechanical Engineering, with emphasis in Automation and Systems) degree in 1998 from the Polytechnic School of the University of São Paulo, Brazil.

Honors and Awards

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Recipient of the Finmeccanica Chair in Computer Science.

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2008 "Brilliant 10" by Popular Science Magazine.

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ONR Young Investigator Award, (2008).

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Honorable Mention for Outstanding Paper Award in Advances in Neural Information Processing Systems (NIPS 2007) for Efficient Inference for Distributions on Permutations with Jon Huang and Leo Guibas.

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Best Paper Award in the Thirteenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2007) for Cost-effective Outbreak Detection in Networks with Jure Leskovec, Andreas Krause, Christos Faloutsos, Jeanne VanBriesen and Natalie Glance.

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IBM Faculty Fellowship, (2007).

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2007 IJCAII-JAIR Best Paper prize in the Journal of Artificial Intelligence Research (JAIR) for Efficient Solution Algorithms for Factored MDPs with Daphne Koller, Ron Parr and Shobha Venkataraman. This prize is awarded to an outstanding paper published in JAIR in the preceding five calendar years.

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NSF CAREER Award, (2007).

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IBM Faculty Fellowship, (2006).

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Best Paper Award in Fifth International Conference on Information Processing in Sensor Networks (IPSN'06) for Near-optimal Sensor Placements: Maximizing Information while Minimizing Communication Cost with Andreas Krause, Anupam Gupta and Jon Kleinberg.

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Alfred P. Sloan Research Fellowship (2006).

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Best Paper Runner-Up Award in 22nd International Conference on Machine Learning (ICML 2005) for Near-Optimal Sensor Placements in Gaussian Processes with Andreas Krause and Ajit Singh.

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Best Paper Runner-Up Award in 21st Conference on Uncertainty in Artificial Intelligence (UAI 2005) for Near-Optimal Nonmyopic Value of Information in Graphical Models with Andreas Krause.

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Best Paper Award in Fourth International Conference on Information Processing in Sensor Networks (IPSN'05) for A Robust Architecture for Distributed Inference in Sensor Networks with Mark Paskin and Jim McFadden.

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Best Paper Award in 30th International Conference on Very Large Data Bases (VLDB 2004) for Model-Driven Data Acquisition in Sensor Networks with Amol Deshpande, Sam Madden, Joseph Hellerstein and Wei Hong.

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Best Paper Award in Advances in Neural Information Processing Systems (NIPS 2003) for Max-Margin Markov Networks with Ben Taskar and Daphne Koller.

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Siebel Scholarship (2001).

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Stanford Centennial Teaching Assistant Award (2000).

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