Welcome to ISMSAI2023
With the rapid develpment of artificial intelligence (AI) technology,
the society keeps changing. By applying AI techniques such as machine learning
or deep learning into various fields, especially in the field of mechanical system,
people's lives are more enriched.
In the future, the knowledge about AI will be required for most working areas.
Therefore, this symposium aims to explore the possibility of interdisciplinary research by
bringing together researchers from various fields who are working on AI technology.
Currently, the effective use of big data all over the world has led to the rapid development of mechanical engineering and AI applications,
and numerous research achievements have been published.
Holding an international conference on mechanical system and AI application technology is highly significant for
improving research levels and providing a global research perspective for
all researchers, engineers and students.
Agenda
7月19日
7月20日
7月21日
---------Poster Presentations-----------
Conference Venue
Room 305, Building 3, Yohomaha Campus, Kanagawa Univeristy
3-27-1 Rokkakubashi, Kanagawa-ku, Yokohama-shi, Kanagawa 221-8686
TEL: +81-(0)45-481-5661 (Operator)
Access Map
Keynote Lectures
Keynote Lecture 1:Design and realization of intelligent robotics (Prof. Niansheng Chen)

Prof. Niansheng Chen is from School of Electronic and Information Engineering, Shanghai Dianji University. He works on internet of things and robotics.
Keynote Lecture 2:Human machine cooperation in intelligent manufacturing (Prof. Cheng Cai)

Prof. Cheng Cai is from School of Electronic and Information Engineering, Shanghai Dianji University. He works on human machine interaction and computer vision.
Keynote Lecture 3:Analysis and identification of signal gene characteristics of radiation source (Prof. Jingchao Li)

Prof. Jingchao Li is from School of Electronic and Information Engineering, Shanghai Dianji University. She works on signal processing.
Keynote Lecture 4:Multimodal Fusion Based Environmental Sensing for Autonomous Vehicles (Mr. Hongfeng Zhu)
