M. M. Manjurul Islam received the B.S. degree in computer science and engineering from the Rajshahi University of Engineering & Technology, Bangladesh, in 2007. He is currently pursuing the Ph.D. degree in computer engineering with the University of Ulsan, Ulsan, South Korea, where he has been a Graduate Research Assistant with the Smart HSE Laboratory. He already defended the Ph.D. Dissertation and is expecting to receive the Ph.D. degree, in August 2019.,His is the author of six book chapters and more than 25 scientific articles. His current research interests include data-driven anomaly detection, diagnostics, and prognostics of complex engineering systems using artificial intelligence, machine learning, advanced signal processing, and high-performance computing.,Mr. Islam’s awards and honors include National Research Foundation (NRF) of Korea Research Fellowship scholarship and University of Ulsan President Excellence Scholarship for pursuing Ph.D. Program.
Title | Authors | Venue / Year | Type | DOI |
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GAN Based data augmentation for rolling bearings fault diagnosis and prognosis | Md. Sulyman Islam Sifat, Md Alamgir Kabir, M. M. Manjurul Islam, Atiq Ur Rehman, Amine Bermak | IEEE Access 2024 | journal | View |