Bio

Dan Roth is a Professor in the Department of Computer Science and the Beckman Institute at the University of Illinois at Urbana-Champaign and a University of Illinois Scholar.
He is the director of the DHS funded Center for Multimodal Information Access & Synthesis (MIAS) and has faculty positions also at the Statistics and Linguistics Departments and at the graduate School of Library and Information Science.

Roth is a Fellow of the ACM, AAAI, and ACL, for his contributions to the foundations of machine learning and inference and for developing learning centered solutions for natural language processing problems.

He has published broadly in machine learning, natural language processing, knowledge representation and reasoning and learning theory, and has developed advanced machine learning based tools for natural language applications that are being used widely by the research community. Prof. Roth has given keynote talks in major conferences, including AAAI, The Conference of the American Association Artificial Intelligence; EMNLP, The Conference on Empirical Methods in Natural Language Processing, and ECML & PKDD, the European Conference on Machine Learning and the Principles and Practice of Knowledge Discovery in Databases. He has also presented several tutorials in universities and conferences including at ACL and the European ACL and has won several teaching and best paper awards.

Roth was the program chair of AAAI'11 and was the program chair of CoNLL'02 and of ACL'03; he has served as an area chair and senior program committee member on all major conferences in his research areas, and has been on the editorial board of several journals in his research areas. Roth is currently the Associate Editor-in-Chief of the Journal of Artificial Intelligence Research (JAIR) and will serve as Editor-in-Chief for a two-year term beginning in 2015.

Prof. Roth got his B.A Summa cum laude in Mathematics from the Technion, Israel and his Ph.D in Computer Science from Harvard University in 1995.