Ben Taskar Receives NSF CAREER Award
Ben Taskar, Magerman Term Assistant Professor in the department of Computer and Information Science, has received an NSF CAREER award for his proposal, "Computation and Approximation in Structured Learning." The CAREER award is the NSF's most prestigious award in support of 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.
Taskar's research is focused on machine learning. He is interested in the design and analysis of data-centric algorithms that enable computers to tackle intelligent tasks, from machine translation and information extraction in natural language processing to object and action recognition in computer vision. Blending ideas from probability and statistics, discrete and continuous optimization, linguistic and perception theory, Ben's research aims to create drastically more accurate and robust systems that can sense, reason and act under real world uncertainty and ambiguity.
The primary outcome of the CAREER project will be a framework for addressing very large scale structured prediction using a novel coarse-to-fine architecture. This architecture will enable explicit, data-driven control of the approximation/computation trade-off. It promises to drastically advance state-of-the-art accuracy in computer vision and natural language applications and greatly enhance search and organization of documents, images, and video.
To read more about Taskar and his research, please visit his faculty profile.