Biography


I am a Ph.D. student in Computer Science and Engineering at Nanyang Technological University (NTU) in collaboration with the Institute of Infocomm Research (I2R), A*STAR. I am supervised by Dr. Kwoh Chee Keong from Nanyang Technological University and Dr. Li Xiaoli from I2R. Before joining NTU, I completed my M.Sc. degree in Medical Image Processing and my B.Sc. degree in Electrical Engineering with the First Class Honours from Aswan University, Egypt. During that time, I have also been working as a Teaching Assistant and co-taught more than 12 courses to undergraduate students.

Research Interests

  • Deep Learning 
  • Transfer Learning 
  • Machine Health Monitoring 
  • Intelligent Fault Diagnosis 
  • Intelligent Fault Prognosis 

Education

  • Doctorate of Philosophy in Computer Science and Engineering (2018-present) 
    • Nanyang Technological University, Singapore 
  • Master of Science in Electrical Engineering (2015-2017) 
    • Aswan University, Egypt 
  • Bachelor of Science in Electrical Engineering (2009-2014) 
    • Aswan University, Egypt 


News


Publications


Secure Transfer Learning for Machine Fault Diagnosis under Different Operating Conditions (Accepted)


Chao Jin, Mohamed Ragab, Khin Mi Mi Aung


International Conference on Provable and Practical Security (PROVSEC 2020))


Localization and Classification of Structural Damage Using Deep Learning Single-Channel Signal-Based Measurement (under review)


Majdi Flah, Mohamed Ragab, Malek Lazhari, Moncef Nehdi


Structural Health Monitoring


Attention Sequence to Sequence Model for Machine Remaining Useful Life Prediction (under review)


Mohamed Ragab, Zhenghua Chen, Min Wu, Chee-Keong, Kwoh, Ruqiang Yan, Xiaoli Li


IEEE Transactions on Systems, Man, and Cybernetics: Systems


Adversarial Transfer Learning for Remaining Useful Life Estimation (Finalist Paper Award)


Mohamed Ragab, Zhenghua Chen, Min Wu, Chee-Keong Kwoh, Xiaoli Li


2020 IEEE International Conference on Prognostics and Health Management (ICPHM)


Contrastive Adversarial Domain Adaptation for Machine Remaining Useful Life Prediction (Accepted)


Mohamed Ragab, Zhenghua Chen, Min Wu, Chuan-Sheng Foo, Chee-Keong, Kwoh, Ruqiang Yan, Xiaoli Li


IEEE Transactions on Industrial Informatics, 2020


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Other pages


Press


SCSE PhD Student & A*STAR Scholar, Mohamed Ragab Finalist Paper Award at the 12th IEEE International Conference on Prognostics and Health Management (ICPHM2020)



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