Electrical & Computer Engineering, ENG
- Ph.D., University of Texas at Austin
Assistant Professor, Electrical & Computer Engineering, ENG
Brian Kulis an assistant professor in the Department of Electrical and Computer Engineering and the Department of Computer Science at Boston University. He is also a core member of the Division of Systems Engineering and core faculty for the BU AI Research (AIR) Initiative. From 2012-2015, he was an assistant professor in the Department of Computer Science and Engineering and the Department of Statistics at Ohio State University.
Before that, he spent three years as a postdoc at UC Berkeley EECS (Computer Science Division), and was also affiliated with ICSI. Broadly speaking, Brian is interested in all aspects of machine learning, with an emphasis on applications to computer vision. Most of his research focuses on making it easier to analyze large-scale data. A major focus is on large-scale optimization for core problems in machine learning such as metric learning, content-based search, clustering, and online learning. Brian is also interested in large-scale graphical models, Bayesian inference, Bayesian nonparametrics, and deep learning.