Prof. Pavlovic is the director of SEQAM Lab. He earned the Ph.D. in electrical engineering at the University of Illinois at Urbana-Chapaign in 1999.  He was a research scientist at Compaq’s Cambridge Research Lab in Cambridge, MA from 1999 until 2001.  In 2001 he joined Boston University as a research faculty in the Bioinformatics Program.  In 2002 he joined Rutgers as an Assistant Professor in the Department of Computer Science, where he is now an Associate Professor.  Prof. Pavlovic’s research interests include statistical learning, dynamic system modeling and computer vision.

Curruculum Vitae

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Contact information:

Vladimir Pavlovic
Dept. of Computer Science
Rutgers University
110 Frelinghuysen Rd.
Piscataway, NJ 08854
+1 732 445 2001 x2654
vladimir (at) cs.rutgers.edu

• C. Hendahewa and V. Pavlovic. "Analysis of Causality in Stock Market Data". International Conference on Machine Learning and Applications (ICMLA). 2012. [More] 
• P. Kuksa and V. Pavlovic. "Efficient evaluation of large sequence kernels". Proc. ACM SIGKDD Conf. Knowledge Discovery and Data Mining (KDD). 2012. [More] 
• P. Kuksa, I. Khan and V. Pavlovic. "Generalized Similarity Kernels for Efficient Sequence Classification". Proc. SIAM International Conference on Data Mining (SDM). 2012. [More] 
• S. Shariat and V. Pavlovic. "Improved sequence classification using adaptive segmental sequence alignment". Journal of Machine Learning W&CP. 2012. pp. 379-394. [More] 
• S. Yoon and V. Pavlovic. "Distributed Probabilistic Learning for Camera Networks with Missing Data". Neural Information Processing Systems (NIPS). 2012. [More] 

• Conditional Ordinal Random Fields