Brian Kulis

Brian Kulis is an Associate Professor with appointments in the Department of Electrical and Computer Engineering, the Department of Computer Science, the Division of Systems Engineering and the Faculty of Computing and Data Science, and is an affiliate of the Center for Information & Systems Engineering (CISE) at Boston University. He is also core faculty for the BU Artificial Intelligence 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, Kulis 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. Kulis is also interested in large-scale graphical models, Bayesian inference, Bayesian nonparametrics, and deep learning.

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