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Luis Ortiz

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Luis Ortiz
Assistant Professor
Computer Science Department
2313-c Computer Science
Stony Brook University
Stony Brook, NY 11794-4400

Phone: (631) 632-1805
Website: http://www.cs.stonybrook.edu/~leortiz
Email

INTERESTS

Artificial Intelligence, Machine Learning, Computational Game Theory and Economics, Graphical Models, Applications to Complex Systems, Computational Biology, and Computational Finance.

BIOGRAPHY

Luis Ortiz was an Assistant Professor at the Department of Electrical and Computer Engineering at the University of Puerto Rico, Mayaguez (UPRM) from January 2007 through June 2008. From September 2004 through December 2006, he held a Postdoctoral Lecturer faculty position at the Department of Electrical Engineering and Computer Science at the Massachusetts Institute of Technology (MIT). From January 2002 through August 2004, he was a Postdoctoral Researcher at the Department of Computer and Information Science of the School of Engineering and Applied Science at the University of Pennsylvania. From October to December 2001, he was a consultant in the area of artificial intelligence and machine learning at AT&T Labs-Research's Artificial Intelligence Principles Group at Shannon Labs in Florham Park, NJ.

Ortiz completed his Ph.D. (2002) and Sc.M. (1998) from the Department of Computer Science at Brown University and obtained a B.S. degree in Computer Science from the Institute of Technology (IT) at the University of Minnesota, Twin Cities.

RESEARCH

Luis Ortiz directs the Machine Leaning Lab. The following is a list of current projects.

  • The Symbiosis of Graphical Models and Games (CAREER)
  • Game-Theoretic Models of Interdependent Security
  • Empirical and Theoretical Properties of AdaBoost
  • Behavioral Experiments on Graphical Games
He is also the co-Pi in the following NSF-funded project, led by Prof. Samir Das, in collaboration with AT&T.
  • Understanding Traffic Dynamics in Cellular Data Networks and Applications to Resource Management

AWARDS & ACTIVITIES

Luis Ortiz received the NSF Faculty Early Career Development (CAREER) Award in 2011. He is also a recipient of a National Physical Science Consortium (NPSC) Ph.D. Fellowship and an NSF Minority Graduate Fellowship.

TEACHING SUMMARY

CSE/ISE 300, CSE 352, CSE 353, CSE 390 (ML; Social Networks), CSE 391 (ML), CSE 592 (Graphical Models; ML; Propagation Processes and Algorithms on Networks), CSE 691 (Computational Game Theory and Economics)