Toyotani Laboratory

 

 Digital Marketing
  & Data Science

 AI and Management

 Medical Field

 Engineering

 Virtual sound system

 Drug navigation

 Ramen carnival

 Information

  [Japanese]

 


toyotani2017s.jpg

 

  Science and technology calculation and the research of interaction of fluid and structure was my academic dissertations. It worked for about ten years in the private company that developed the system, and a lot such as marketing, business, and lecturers afterwards were experienced by the thing that the start-up of an educational business is especially left.

 

  The experience of the start-up of a new business though it is a researcher is made the best use of, and the research that makes the best use of the numerical simulation for Enterprise Management is done, and it will contribute to the society in the future.

Main joint research with companies, etc.
・A map system with local sounds, Chiba Prefectural Central Museum, April 2009-present
・Quality control using AI, Techban Co., Ltd., September 2017-March 2019
・Optimal placement of AGVs in automated robot warehouses, ANJI Technology Co. Ltd., October 2019-April 2020
・Study on AI prediction model construction using solar radiation observation experiments, afterFIT Co., Ltd., July 2019-Present
・Walking support by AI for the visually impaired, Reliable Walker Promotion Council, April 2021-Present
・Marketing support and analysis using HP and SNS, Okubo Mimo Ramen Carnival Executive Committee, October 2020-Present
・Marketing analysis using web access analysis, Company O, Company W, currently under adjustment
・Equipment deterioration evaluation using AI, Company N, currently under adjustment
・Management support using AI, Company S, currently under adjustment, etc.

Major graduation research themes
・ Digital marketing analysis for Hit factor
・ AI drug navigation app for foreigners
・ Gender tracking and Web page design
・ Point-of-view survey of people who are prone to car sickness
・ Company evaluation by AI
・ Optimization of robot AGV logistics system with AI
・ IoT innovation in healthcare
・ Management and technical issues, etc.

 

Department of Industrial Engineering and Management, Collage of Industrial Technology, Nihon University