Dr. Jebara is Director of the Columbia University Machine Learning Laboratory, whose research focuses on machine learning, computer vision and related application areas such as human-computer interaction. Jebara is also a Principal Investigator at Columbia’s Vision and Graphics Center.
He has published over 50 peer-reviewed papers in conferences and journals including NIPS, ICML, UAI, COLT, JMLR, CVPR, ICCV, AISTAT, and PAMI. He is the author of the book Machine Learning: Discriminative and Generative (Kluwer).
Jebara is recipient of the Career Award from the National Science Foundation and has also received honors for his papers from the International Conference on Machine Learning and from the Pattern Recognition Society. He has served as chair, program committee member, and reviewer for various conferences and workshops.
Jebara’s research has been featured on television (ABC, BBC, New York One, TechTV) as well as in the popular press (Wired Online, Scientific American, Newsweek, and Science Photo Library).
Jebara obtained his Bachelor’s degree from McGill University (at the McGill Center for Intelligent Machines). He obtained a Master’s and Ph.D. from the Massachusetts Institute of Technology (at the MIT Media Laboratory).
