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Md Sulyman Islam Sifat
Research Assistant
Daffodil International University
Joined: July 2024
sifat15-4004@diu.edu.bd
Biography
Md. Sulyman Islam Sifat is a Computer Science student with a strong passion for Smart Manufacturing. He has approximately one year of hands-on experience in Predictive Maintenance (PdM) and energy management and optimization. His research focuses on advanced data-driven methods for fault diagnosis, prognostics, anomaly detection, remaining useful life (RUL) estimation, and state estimation. Through these approaches, he aims to enhance industrial reliability, reduce downtime, and optimize operational efficiency.
Research Areas
Predictive maintenance
smart manufacturing
Energy optimization
Publications
| Title | Authors | Venue / Year | Type | DOI |
|---|---|---|---|---|
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 |