|Affiliation||Information Systems, Informatics|
|Profile||Masuda had been working in an IT company and experienced developing information systems for clients. He has also been researching for software engineering, especially software testing and published papers and patents. Based on his background, we, Prof. Masuda laboratory, are working for software engineering to contribute for developing high quality software efficiently to solve social challenges. Many new technologies and methodologies for software have been developed, however, they are required contribution in real cases. We are tackling problems in wide area, such as testing autonomous-driving car, using natural language processing for requirement engineering and data science in enterprise systems.|
|Research Field(Keyword & Summary)||
|Award||(1) Best Paper Award: Second Place, "Guidelines for Quality Assurance of Machine Learning-based Artificial Intelligence,," The 32nd International Conference on Software Engineering & Knowledge Engineering, KSIR Virtual Conference Cener, Pittsburgh, USA, July 9-19, 2020
(2) International Standard Contribution Award, Information Technology Standards Comiison of Japan, Information Processing Society of Japan, 2018.
(3) International Standard Development Award, Information Technology Standards Comiison of Japan, Information Processing Society of Japan, 2017.
|Grant-in-Aid for Scientific Research Support: Japan Society for Promotion of Science (JSPS)||https://nrid.nii.ac.jp/en/nrid/1000060947927/|
|Research Grants/Projects including subsidies, donations, grants, etc.||https://kaken.nii.ac.jp/en/grant/KAKENHI-PROJECT-22K21288|
|Recruitment of research assistant(s)||No|
|Affiliated academic society (Membership type)||(1) Information Processing Society of Japan (Senior Member)
(2) IEEE (Member)
(3) The Japanese Society for Artificial Intelligence (Member)
|Education Field (Undergraduate level)||Enterprise Information Systems, Electric Commerce|
|Education Field (Graduate level)||Software Engineering|