Smiljana V. Petrovic

Assistant Professor

 

Contact:
Department of Computer Science
Iona College
715 North Avenue
New Rochelle, NY 10801
914-633-2561
914-633-2144 (fax)
Email: spetrovic@iona.edu

Teaching

Spring 2012

CS 201 Computer Science 1
CS 361 Artificial Intelligence
CS 760 Artificial Intelligence

Office hours:

      Tuesday: 5:00-6:30pm
      Wednesday: 5:00-6:30pm
      By appointment

Education

2008 Ph.D. in Computer Science
Graduate Center, City University of New York (CUNY)
Thesis: Learning to Combine Heuristics to Solve Constraint Satisfaction Problems
Advisor: Professor Susan L. Epstein
2001 MS in Computer Science
Lehman College, City University of New York (CUNY)
1992 BS in Mathematics, Co-major in Computer Science
University of Belgrade, Serbia

 

Publications

Epstein,S. L. and S. Petrovic (2012) Learning a Mixture of Search Heuristics (Hamadi, Youssef; Monfroy, Eric; Saubion, Frédéric (Eds.)). Autonomous Search, Springer; 2012 ISBN 978-3-642-21433-2

Epstein,S. L. and S. Petrovic (2011) Learning Expertise with Bounded Rationality and Self-awareness (M.T. Cox and A. Raja, editors). MetaReasoning: Thinking about Thinking, MIT Press ISBN:978-0-262-01480-9

Petrovic, S and S. L. Epstein (2008). Tailoring a Mixture of Search Heuristics. Constraint Programming Letters 4:15--38, 2008

Epstein, S. L. and S. Petrovic (2008). Learning Expertise with Bounded Rationality and Self-awareness. In Proceedings of AAAI Workshop on Metareasoning, Chicago, AAAI.

Petrovic, S. and S. L. Epstein (2008). Random Subsets Support Learning a Mixture of Heuristics. International Journal on Artificial Intelligence Tools (IJAIT), pp. 501-520.

Petrovic, S., S. L. Epstein and R. J. Wallace (2007). Learning a Mixture of Search Heuristics. Workshop on Autonomous Search, Principles and Practice of Constraint Programming CP-07, Providence, Rhode Island.

Epstein, S. L. and S. Petrovic (2007). Learning to Solve Constraint Problems. Workshop on AI Planning and Learning, International Conference on Automated Planning and Scheduling, ICAPS-07, Providence, Rhode Island.

Petrovic, S. and S. L. Epstein (2007). Preferences Improve Learning to Solve Constraint Problems. Workshop on Preference for Artificial Intelligence, AAAI-07 pp. 71-78, Vancouver, British Columbia, Canada.

Petrovic, S. and S. L. Epstein (2007). Random Subsets Support Learning a Mixture of Heuristics. In Proceedings of 20th International FLAIRS Conference, pp. 616-621, Key West, Florida.

Petrovic, S. and S. L. Epstein (2006). Relative Support Weight Learning for Constraint Solving. Workshop on Learning for Search, AAAI-06, pp. 115-122, Boston, Massachusetts.

Petrovic, S. and S. L. Epstein (2006). Full Restart Speeds Learning. In Proceedings of the 19th International FLAIRS Conference, Melbourne Beach, Florida.