Guest talk by Dr. Itsuki Noda

On Monday, 27.04.2015, Dr. Itsuki Noda is going to visit the Bonn-Rhein-Sieg University and will give a talk on Multiagent Simulation for Designing Social Services

The talk will start at 11:00 in the Audimax (Hörsaal 1, A 0.48) in Sankt Augustin.
 

Abstract: Computer simulations of social phenomena will become the most efficient tool to design and to improve social systems. Big data and advancement of computational powers enable to handle large scale social simulations in which a large number of human activities are represented by behaviors of multiple intelligent agent. We are conducting a project to establish multi-agent social simulations and to apply them to actual real-world problems like disaster mitigation, smart transportation systems, stable economical systems, and so on. In this talk, I will show several results of this project.
 

Biography: Itsuki Noda is a Principal Research Manager at the Human Informatics Research Institute (HIRI) of the  National Institute of Advanced Industrial Science and Technology (AIST), Japan. He received the B.E., M.E. and Ph.D., degrees in electrical engineering from Kyoto University, Kyoto, Japan, in 1987, 1989, and 1995, respectively. He was a visiting researcher of Stanford University in 1999, and worked as a staff of the Council of Science and Technology Policy of Japanese government in 2003.
He was a founding member of RoboCup and promoted Simulation League since 1995.  RoboCup is a research competition and symposium on robotics and artificial intelligence, and is held the international competitions every year.  The Simulation League becomes a standard problem on researchs multi-agent simulation domain and used world-wide. Since 2014, he is the president of the RoboCup Federation.
He also has been joining development of integrated information sharing and simulation system of disaster and rescue, which are Japanese national projects for disaster mitigation. One of outputs of the projects enables providing traffic information just after the Great East Japan Earthquake using trajectory data of car navigation systems.
He is now promoting a project to develop a framework for large scale multiagent social simulation system on high performance computing environments.
He has received the the 1995 best research award of JNNS (Japanese Neural Network Society), the best paper award of JAWS-2008, the best paper award of IPSJ-2009 and IPSJ-2010, and the 2011 Field Innovation Award (silver) of JSAI.
He is interested in multi-agent social simulation, machine learning, and disaster mitigation information systems.