J-GLOBAL         Last updated: Mar 29, 2019 at 03:10
Tokyo University of Science
工学博士(Tokyo University of Science)

Research Areas


Academic & Professional Experience

Research Associate, Tokyo University of Science
Lecture, Tokyo University of Science
Associate Professor, Tokyo University of Sience
Professor, Tokyo University of Sience


Department of Industrial Administration, Faculty of Science and Engineering, Tokyo University of Science
Industrial Administration, Graduate School, Division of Science and Engineering, Tokyo University of Science

Committee Memberships

Aug 2016
Aug 2016
14th Pacific Rim Knowledge Acquisition Workshop  Workshop and Program Chair
Jun 2016
Jun 2016
6th International Workshop on Computer Science and Engineering  Workshop Chair
Aug 2015
Aug 2015
25th International Conference on Inductive Logic Programming  Conference and Program Chair
Jan 2014
Jan 2014
6th International Conference on Machine Learning and Computing  Technical Committee
Mar 2013
Mar 2013
The 4th International Multi-Conference on Complexity, Informatics and Cybernetics  Program Committee Chair

Awards & Honors

Mar 2014
Best Paper Award
Mar 2012
Best Session Paper for ICT and Application
Award for Presentation at the Japanese Society of Information Processing Conference

Published Papers

Kazuya Uekado, Ling Feng, Masaaki Suzuki, Hayato Ohwada
Lecture Notes in Artificial Intelligence   (11016) 261-270   Aug 2018   [Refereed]
Practical Feature Selection for Lung Cancer Gene Detection
Min-Wei Hsieh, Hayato Ohwada, Sheng-I Chen
The 9th ACM Conferende on Bioinformatics, Computational Biology, and Health Informatics (ACM-BCB 2018)   522-522   Aug 2018   [Refereed]
Ranking Methods of Candidates for p53 Inhibitor Considering Cytotoxicity Using Machine Learning
Haruka Motohashi, Tatsuro Teraoka, Shin Aoki, Hayato Ohwada
The 9th ACM Conferende on Bioinformatics, Computational Biology, and Health Informatics (ACM-BCB 2018)   521-521   Aug 2018   [Refereed]
Churn Prediction Using Text Mining for Job Search Sites
Yuya Uekado, Hayato Ohwada and Masaaki Suzuki
Proc. of the 33rd International Conference on Computers and Their Applications (CATA-2018)   145-150   Mar 2018   [Refereed]
Hiroki Karasawa, Chien-Liang Liu, Hayato Ohwada
Intelligent Information and Database Systems. ACIIDS 2018. Lecture Notes in Computer Science, Springer   10751 287-296   Mar 2018   [Refereed]

Books etc

Knowledge Management and Acquisition for Intelligent Systems - 14th Pacific Rim Knowledge Acquisition Workshop
Hayato Ohwada, Kenichi Yoshida (Part:Joint Work)
Springer   Aug 2016   ISBN:ISBN 978-3-319-42705
Inductive Logic Programming - 25th International Conference
Katsumi Inoue, Hayato Ohwada, Akihiro Yamamoto (Part:Joint Work)
Springer   Apr 2016   ISBN:ISBN 978-3-319-4056
Using Inductive Logic Programming to Learn Rules That Identify Glaucomatous Eyes, in Intelligent Data Analysis in Medicine and Pharmacology
Mizoguchi, F., Daidoji, M., Shirato, S. (Ed., Lavrac, N., Keravnou, E., Zupan, B.) (Part:Joint Work)
Kluwer Academic Publishers   Feb 1997   
A Qualitative Quantitative Simulator based on Constraint Logic Programming, in Distributed Computing
Mizoguchi, F. (Ed., Ohno, Y.) (Part:Joint Work)
Springer-Verlag   1991   

Conference Activities & Talks

The Prediction of Radiation Protection and Toxicity of p53 Targeting Radioprotectors using Machine Learning
Masataka Kimura, Shin Aoki, Hayato Ohwada
2017 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology   23 Aug 2017   
Practical Applications on Logic-based Machine Learning
Hayato Ohwada
International Conference on Theoretical and Applied statistics   9 Oct 2016   
Computer systems that identify the cognitive states of car drivers
Hayato Ohwada
6th International Workshop on Computer Science and Emgineering   18 Jun 2016   
Design of a User Support System for Drivers based on Status Monitoring using Depth Sensor and Smart Phone
Hiroyuki Nishiyama, Yusuke Saito and Hayato Ohwada
The 16th Asia Pacific Industrial Engineering and Management Systems Conference   8 Dec 2015   
日本リモートセンシング学会第59回学術講演会   26 Nov 2015   

Research Grants & Projects

Using ILP for Fold Prediction based on Protein Primary Structure
Grant-in-Aid for Scientific Research
Project Year: 2006 - 2008
A machine learning method, Inductive Logic Programming is used to predict a protein fold category from primary structure data base.