Interdisciplinary Aspects of AI, IoT for Industrial and Medical
Applications, and Social Deployment
▪ Assoc. Prof. Takanobu Otsuka, Nagoya Institute of Technology, Japan
▪ Assoc. Prof. Shintaro Oyama, Nagoya University, Japan
Assoc. Prof. Takanobu Otsuka
Nagoya Institute of Technology, Japan
Dr. Takanobu Otsuka is an Associate Professor at the Nagoya Institute of Technology. He received an M.E and Doctor of Engineering from the Nagoya Institute of Technology in 2011 and 2016, respectively. From 2012 to 2015, he was an Assistant Professor at the Nagoya Institute of Technology. From 2015 and 2016, he was a visiting researcher at UCI (the University of California Irvine).
His main research interests include IoT, multi-agent systems, intelligent agents, distributed systems, and software engineering on offshoring.
Assoc. Prof. Shintaro Oyama
Nagoya University, Japan
Dr. Shintaro Oyama is an Associate Professor at the Innovative Research Center for Preventive Medical Engineering (PME), Institute for the Innovation for Future Society, Nagoya University, Tokai National University Organization, and is currently involved in industry-academia collaborative research in a wide range of areas.
He graduated from Nagoya University School of Medicine in 2007, and obtained his medical license. While working as a orthopedic and hand surgeon, he has been engaged in research in the areas of machine learning and photonics as a junior research associate in the Image Information Processing Research Team at RIKEN since 2013. He has also been involved in the development of medical AI and medical xR technologies at the Medical IT Center and xR Center in Nagoya University Hospital (NUH).
His research themes are; Medical AI, Software as a Medical Devices, Medical IoTs, Social Healthcare Systems, Medical Informatics.
Artificial Intelligence (AI) and the Internet of Things (IoT) are empowering and widely used in society, industry, and the medical field. In particular, many achievements have been made in the industrial and medical fields. We aim to be at the forefront of their dissemination to academics and the general public as a social infrastructure worldwide. In a broad sense, AI is a series of processes that use various methods to find meaning and value in the data collected by the IoT. These have the potential to solve various problems that exist in human society.
In this particular track, we welcome submissions to present new research issues and examples of social implementations related to AI and IoT technologies for the practical application of AI and IoT across disciplines. Submissions to this track should report actual and significant unpublished results on any aspect of society or the medical and industrial communities.
We plan to provide a unified platform for innovative research in the core and applied areas by sharing demonstrations and the latest research in AI and IoT. Unique Tracks currently include, but are not limited to, the following topics.
- Image recognition
- Machine Learning
- Knowledge representation, reasoning, and planning
- IoT and medical and Industrial practice
- Learning and adaptation
- AI and IoT for Human Learning and Behavior Change
- AI and IoT in Business
- Pattern Recognition
- Big Data and AI
- semi-supervised and unsupervised learning
- Reinforcement learning
- Innovative applications
▪ New Energy and Industrial Technology Development Organization (NEDO) (Public-Private Young Researcher Discovery Support Program), Japan
▪ AIMAILs, National University Organization Nagoya University, Japan
▪ Co-Creation IoT Infrastructure Research Center, Nagoya Institute of Technology, Japan