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Keynote&Plenary Speakers


Prof. Dr. Naoshi Sakamoto, Tokyo Denki University, Japan


Naoshi Sakamoto holds M.S. and Dr.S. degree from Tokyo Institute of Technology. Currently, he is a professor in Tokyo Denki University, Japan.

Since 1992, he had been an assistant researcher in Hitotsubashi University and Tokyo Institute of Technology, successively. He had engaged in constructing and managing the campus area network. Originally, he was studying theoretical computer science. He won IEICE excellent paper award in 1999 for the study of the amount of information among initial conditions for distributed algorithms. Since 2001, he has been an associate professor at Tokyo Denki University. Then, since 2014, he has been a professor. Since 2016, he has also been a deputy director of Office of Educational Development for two years in the University. Recently, he is studying theoretical analysis for protocols, parallel algorithms, distributed algorithms, probability distributions, communication behavior engineering, and educational technology. He also won a paper award of SNPD in 2015 for a proposition about new probability model concerning wireless communication.

Speech Title: Communication Behavior Engineering

The demand for utilization, reliability, and economy of communication system is still high. In the past when the telephone system was the leading role, simple hypotheses were built to analyze user behavior. In that time, the hypotheses were effective.

However, in modern information and communication society, there is a limit to deal with a user behavior by a simple hypothesis. Thus, it is necessary to analyze and model actual user behavior of communication. Recently, researchers paying attention to user behavior increased. Furthermore, the communication behavior engineering society was established in a Japan academic institute. Not only experts in field of information and communication, but also engineering, medical, and psychological experts gather and argue.

The speaker is introducing this field mainly on studies of the user model, analysis techniques, and analysis examples.