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 and of AAAI, 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.
He is currently an associate editor for the Journal of
Artificial Intelligence Research and the Machine Learning
Journal.
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.
