Faculty information (degree and performance)
Faculty details
TAWADA Junzo
WATADA Junzo
- Affiliation
- Faculty of Data Science Department of Data Science
- Position
- Professor
- Position
Researcher Information
Specialized fields
AI-based data analysis such as categorical data analysis, large-scale data analysis, multivariate analysis, video data analysis, and human tracking.
As part of this, we have a track record of managing and finance data analysis.
Courses in charge
Categorycal data analysis, exercise on the left, statistical modeling
Educational background
1970: Department of Electrical Engineering, Faculty of Engineering, Osaka City University (currently Osaka Public University)
1972: Graduate School of Engineering, Osaka City University (Department of Electrical Engineering) (Professor of Engineering) (currently Osaka Public University)
1983: Graduate School of Engineering, Osaka Prefectural University (Department of Management Engineering) (Master of Engineering) (currently Osaka Public University)
Acquired degree
1983 Doctor of Engineering (Osaka Prefectural University): Fuzzy Multivariant Analysis and its Applications
Affiliated Society
Life Senior Member of the Association of Electrical and Electronic Engineers (IEEE)
Fellow, Honorary Member of the Japan Intelligence Information Society
Fellow of the Biomedical Fazi Society
Research Keywords
●Model construction of multivariate analysis
●Development of FinTech technology through distributed analysis
●Construction and optimization of deep learning neural networks
●Image understanding
●DNA computing (until 2016)
●Management Engineering
●Financial Engineering
Current research themes
Understanding image data, optimization of deep learning, analysis of large-scale data, development of fintech technology
Major Research Results and Activities
1972 - - 1979: At Fujitsu, he is involved in practical work related to computer fundamentals and applications in the Telecommunications Equipment Division and Apprentice Division.
1984 - - 1985: Engaged in research on artificial intelligence as a postdoctoral fellow at Purdue University EE.
1982 - - 1990: Engaged in business administration, lecturer and associate professor, research on management decision-making systems at Ryukoku University
1990 - 2003: Department of Business Engineering, Faculty of Engineering, Osaka Institute of Technology (Osaka Institute of Technology).
2003 - - 2016: Graduate School of Information and Production Systems, Faculty of Science and Engineering, Waseda University, and the Graduate School of Information and Production Systems, lectures and research in English.
2016 - - 2020: He is a professor at the Faculty of Computer Informatics, Petronas Institute of Technology, Malaysia, and has trained five doctors.
2024 - Current: Faculty of Data Science, Shimonoseki City University
Results of commissioned projects for scientific research, etc.
(1)Research member of the Ministry of Economy, Trade and Industry, "Realization of Comfortable Space through Sensitivity Engineering"
(2)Grant-in-Aid for Scientific Research
(3)Kitakyushu City Grant From 2003 to 2016
(4)Joint research with Fujitsu Limited, Sumitomo Metals Co., Ltd., Dentsu Co., Ltd., Nissan Finance Co., Ltd., Konoike Gumi Co., Ltd., Fuji Investment Co., Ltd., Central Res. Inst. of Electric Power Industry Co., Ltd., Murata Co., Ltd., etc.
(5)Graduated from Australia, New Zealand, Czech Republic, Brazil, India, etc., and members of overseas research projects.
(6)Public funds in Malaysia (2019-2020)
https://nrid.nii.ac.jp/ja/nrid/1000010158610/
Others (lectures, appearances, committee members, etc.)
A large number
See below
http://wcicme.com/watada-scu/
Class seminar
My seminar
Construction of data science methods and analysis of actual data
For example, below, if you can challenge yourself!
(1)Using and developing data analysis methods using R and Pytoson to analyze large-scale real data.
(2)We challenge new methods of deep learning neural networks.
(3)Optimization of deep learning neural networks
(4)Analysis of Economic and Investment Data
(5)Understanding image data
Please talk about what you want to do.