Hideo Watanabe

Biography

Hideo Watanabe is a manager of Mathematical Sciences & Solutions, and a lead of AI Acceleration Center of IBM Research - Tokyo. He is also a member of IBM Academy of Technology. He was a manager of Text Analytics group and Resilience Engineering group previously. His team have been working on the research of advanced solutions using machine learning. One of example of such solutions is the anomaly detection of sensor data, by using the sparse structure learning technology. This technology can be usable in the IoT environment. Another example is a novel artificial neural network system called dynamic Boltzmann machine (or DyBM) which can learn time-series data. He joined Tokyo Research Laboratory in 1986, and has been working on natural language processing research, in particular on machine translation. In addition to research work, He contributed on the development of IBM machine translation products; Internet King of Translation and WebSphere Translation Server. As a manager of text analytics team, he led his team on the research of a text mining, IBM TAKMI, and the development of a text mining software product called IBM Content Analytics (now Watson Explorer), and conducted many customer engagements using the text mining technologies. IBM TAKMI was selected one of 100 innovations in the history of IBM. He was awarded the Commendation for Science and Technology by the Minster of Education, Culture, Sports, Science and Technology in 2012 on the industrial usages of text analytic technologies. He received Ph.D of engineering from Kyoto University in 1996. He is a member of Information Processing Society of Japan, Association of Natural Language Processing, and Japanese Society for Artifical Intelligence. Hideo Watanabe is a manager of Mathematical Sciences & Solutions, and a lead of AI Acceleration Center of IBM Research - Tokyo. He is also a member of IBM Academy of Technology. He was a manager of Text Analytics group and Resilience Engineering group previously. His team have been working on the research of advanced solutions using machine learning. One of example of such solutions is the anomaly detection of sensor data, by using the sparse structure learning technology. This technology can be usable in the IoT environment. Another example is a novel artificial neural network system called dynamic Boltzmann machine (or DyBM) which can learn time-series data. He joined Tokyo Research Laboratory in 1986, and has been working on natural language processing research, in particular on machine translation. In addition to research work, He contributed on the development of IBM machine translation products; Internet King of Translation and WebSphere Translation Server. As a manager of text analytics team, he led his team on the research of a text mining, IBM TAKMI, and the development of a text mining software product called IBM Content Analytics (now Watson Explorer), and conducted many customer engagements using the text mining technologies. IBM TAKMI was selected one of 100 innovations in the history of IBM. He was awarded the Commendation for Science and Technology by the Minster of Education, Culture, Sports, Science and Technology in 2012 on the industrial usages of text analytic technologies. He received Ph.D of engineering from Kyoto University in 1996. He is a member of Information Processing Society of Japan, Association of Natural Language Processing, and Japanese Society for Artifical Intelligence.

Research Interest

TAKMI - Text Analysis and Knowledge Mining