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Abdulfatah Abushagur Ghaith Abushagur

Dr. Abdulfatah Abushagur Ghaith Abushagur

Universiti Kebangsaan Malaysia, 43600 Bangi, Selangor, Malaysia

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received the B.E. degree in electrical engineering from the Higher Institute of Mechanical, Electrical Engineering, Hun, Libya. The master and the Ph.D. degrees from Universiti Kebangsaan Malaysia (UKM), Malaysia in 2013 and 2018, respectively. During his Ph.D. study, he proposed a novel method using tapered fiber Bragg grating sensors to improve the performance of microsurgical force sensor. He is currently working as a Research fellow at UKM with Center of Advanced Electronic and Communication Engineering, Faculty of Engineering and Built Environment. At the same time, he is working as a research fellow with computing and informatics faculty at Multimedia University (MMU). His research interests include optical fiber sensing and its application, medical instruments, structure health monitoring, and hybrid SDN networking measurement.

Research Keywords & Expertise

Optical fiber sensing ...
fiber Bragg grating (F...
Fiber based sensors an...
Fiber Bragg grating te...
Biomedical and enginee...

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fiber Bragg grating (FBG) sensors monitoring systems
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Fiber Bragg grating technology

Short Biography

received the B.E. degree in electrical engineering from the Higher Institute of Mechanical, Electrical Engineering, Hun, Libya. The master and the Ph.D. degrees from Universiti Kebangsaan Malaysia (UKM), Malaysia in 2013 and 2018, respectively. During his Ph.D. study, he proposed a novel method using tapered fiber Bragg grating sensors to improve the performance of microsurgical force sensor. He is currently working as a Research fellow at UKM with Center of Advanced Electronic and Communication Engineering, Faculty of Engineering and Built Environment. At the same time, he is working as a research fellow with computing and informatics faculty at Multimedia University (MMU). His research interests include optical fiber sensing and its application, medical instruments, structure health monitoring, and hybrid SDN networking measurement.