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Teacher Information (Degree and Achievements)
Teacher Details
TAWADA Junzo
WATADA Junzo
- Affiliation
- Faculty of Data Science Department of Data Science
- Job rank
- Special Mission Professor
- Position
Researcher Information
Area of expertise
AI-based data analysis such as categoryical 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 analyzing finance data.
Courses in charge
Category data analysis, left exercises, 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 (Master of Engineering) (currently Osaka Public University)
1983: Graduate School of Engineering, Osaka Prefectural University (Master of Engineering, Department of Management 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 American Electrical and Electronics Engineers Association (IEEE)
Fellow of the Japan Intelligent Information Society, Honorary Member
Fellow of Biomedical Fazi Society
Research Keywords
●Model construction of multivariate analysis
●Development of FinTech technology through distributed analysis
●Build and optimize deep learning neural networks
●Image understanding
●DNA Computing (until 2016)
●Management Engineering
●Financial engineering
Current research theme
Understanding image data, optimizing deep learning, analyzing large-scale data, and developing fintech technologies
Main research results and activities
1972 - 1979: At FUJITSU Corporation, he is engaged in practical work related to the basics and applications of computers in the telecommunications equipment and apprentices divisions.
1984 - 1985: Engaged in research on artificial intelligence as a postdoc at Purdue University EE Faculty
From 1982 to 1990: Ryukoku University Graduate School of Business Administration, Lecturer and Associate Professor, Research on Management Decision-making Systems
1990 - 2003: Department of Management Engineering, Faculty of Engineering, Osaka Institute of Technology, Faculty of Engineering, engaged in management decision-making and research on Fintech, raising five PhDs
2003 - 2016: Graduate School of Information Production Systems, Faculty of Science and Engineering, Waseda University, Graduate School of Science and Engineering, Lectures and Research in English, and more than 100 masters.
From 2016 to 2020: He is a professor at the Department of Computer and Informatics at Petronas Institute of Technology, Malaysia, and has trained five PhDs.
2024 - Now: Shimonoseki City University Faculty of Data Science
Contracted results of scientific research expenses
(1)Research member of the Ministry of Economy, Trade and Industry, "Realization of Comfortable Space by Sensibility Engineering"
(2)Grant-in-Aid for Scientific Research
(3)Kitakyushu City Grants 2003 to 2016
(4)Joint research with companies include FUJITSU, Sumitomo Metals, DENTSU, Nissan Finance, Konoike Gumi, Fuji Investment Advisor, Central Res. Inst. of Electric Power Industry, Murata, etc.
(5)Jury members of doctoral degree in 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.)
Most of them
See below
http://wcicme.com/watada-scu/
Classes and Seminars
My seminar
Construction of data science methods and analysis of real data
For example, below, if you can challenge it!
(1)Using and developing data analysis methods in R and Pytoson to analyze large-scale real data.
(2)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.

