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 a Professor at Institute of Mathematics for Industry (IMI), Kyushu University (Fukuoka, Japan). He is also a Team Leader of Structured Learning Team at RIKEN Center for Advanced Intelligence Project (RIKEN AIP). 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 Program Committees / Senior Program Committees for several top-tier conferences in the related fields of computer science, including ICML, AAAI, IJCAI, AISTATS, and KDD.
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