Associate Professor, Osaka University
Team Leader, RIKEN AIP Center
e-mail: ykawahara [at]

For the slides at the lecture ``Special Topics in Mechano-Informatics" on June 28th at The University of Tokyo, please send me an e-mail with the above address.


Yoshinobu Kawahara received his B.S., M.S. and Ph.D. degrees in Engineering from The University of Tokyo, Japan, in 2003, 2005 and 2008, respectively. He is currently an Associate Professor at The Institute of Scientific and Industrial Research (ISIR), Osaka University (Osaka, Japan). He is also a Team Leader of Structured Learning Team at RIKEN Center for Advanced Intelligence Project (RIKEN AIP). He was a research fellow of PRESTO (Precursory Research for Embryonic Science and Technology) by Japan Science and Technology Agency (JST) from 2010 to 2013. He was a Visiting Research Scientist at Max Planck Institute for Empirical Inference (Tübingen), and a Visiting Professor at MELODI Lab. (lead by Prof. J.A. Bilmes) at University of Washington (Seattle). He received the Best Paper Award in 2012 from The Japanese Society of Artificial Intelligence.

His primary research interests lie in statistical machine learning and its applications to engineering problems. He is particularly interested in combinatorial methods in machine learning, learning and analysis of dynamical systems, change-point detection in time-series data, and machine learning for combinatorial optimization.

And, he currently serves as an Action Editor of Neural Networks (Elsevier), and has been a member of the Program Committees for several top conferences in computer science, including ICML, AAAI, IJCAI, AISTATS, and KDD.