Brian Kulis (Department of Computer Science and Engineering) has received a five-year Faculty Early Career Development (CAREER) award from the National Science Foundation. The NSF CAREER program funds junior faculty who exemplify the role of teacher-scholars through outstanding research, excellent education and the integration of education and research within the context of the mission of their organizations.
Kulis is working in the area of artificial intelligence, focusing on machine learning. His CAREER project is “Rich and Scalable Optimization for Modern Bayesian Nonparametric Learning”. His research focuses on data analysis and machine learning, and the goal is to develop new tools and algorithms for rich analysis of very large-scale data. As part of the project, he is developing algorithms for problems such as analyzing the evolution of communities in large networks, image classification, and automatic determination of topics in document collections.
Kulis says of the honor, “This award will provide support for several graduate students, and will make it possible for my group to design and analyze new methods for large-scale data analysis based on Bayesian nonparametric models. I am thankful to the National Science Foundation for their ongoing support of my research.”