Scholar
Dr. Md. Rashedul Islam (ORCID: 0000-0001-8676-6338)
Google Scholar ID: V-HK1CEAAAAJ
Manager, Overseas AI group, Chowagiken, Japan, Associate Professor, University of Asia Pacific
Citations & Impact
Citations
2,714
H-index
23
i10-index
49
Publications
20
Co-authors
24
list available
Contact
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- He is a reviewer for several journals, including IEEE Transactions on industrial electronics, IEEE Access, Applied Science, Multimedia tools and application, Cluster Computing, Shock and Vibration, Journal of Information Processing Systems, and others. He is also a PC member of several international conferences. Additionally, he has been involved in organizing multiple international conferences and technical clubs.
Research Experience
- Previously, he worked as a Senior Engineer, R&D department, Nikon-Exvision Corporation, Tokyo, Japan; Visiting researcher (postdoc) in the School of Computer Science and Engineering, University of Aizu, Japan; Associate Professor in the Department of Computer Science and Engineering, University of Asia Pacific (UAP), Dhaka, Bangladesh; Graduate research assistant in the Embedded system lab, University of Ulsan, South Korea; Assistant professor in the Department of Computer Science and Engineering, University of Asia Pacific (UAP), Dhaka, Bangladesh; and Lecturer in the Department of Computer Science and Engineering, Leading University, Sylhet, Bangladesh.
Education
- He received a B.Sc. degree in computer science and engineering from the University Rajshahi, Bangladesh, in 2006; an M.Sc. degree in informatics from the Högskolan i Borås (University of Boras), Sweden, in 2011; and a Ph.D. degree in electrical, electronic, and computer engineering at the University of Ulsan, South Korea, in 2016. His doctoral thesis was titled 'Discriminant Fault Feature Selection and Reliable Online Bearing Fault Diagnosis System using Signal Processing and Machine Learning Techniques'.
Background
- His research areas include Computer Vision, Machine learning, deep learning, AI, Signal & Image processing, HCI, health informatics, Bearing fault diagnosis, and others. He is currently working as a Lead Researcher of Computer Vision and Manager of Overseas AI Group, Chowagiken Corp., Japan.
Miscellany
- He has good experience in professional IT system analysis and development and is a Senior member of the IEEE Computer Society and IEEE Computational Intelligence Society.
