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Mohamed Ragab


Ph.D. Student

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

Publications


Adversarial Transfer Learning for Remaining Useful Life Estimation (Accepted)


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


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


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 Multiple Domain Adaptation for Fault Diagnosis (Under Review)


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


IEEE Transactions on Instrumentation and Measurement


Compressive sensing MRI reconstruction using empirical wavelet transform and grey wolf optimizer


Mohamed Ragab, Osama A Omer, Mohamed Abdel-Nasser


Neural Computing and Applications, Springer, 2018, pp. 1--20


Compressive sensing MRI using dual tree complex wavelet transform with wavelet tree sparsity


Mohamed Ragab, Osama A Omer, Hany S Hussien


2017 34th National Radio Science Conference (NRSC), IEEE, 2017, pp. 481--486


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Contact


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Mohamed Ragab


Ph.D. Student


mohamedr002{at}e​.ntu​.ed​.sg

84230403

Computer Science and Engineering


Nanyang Technological University


24 Jurong East St 24, 600250, Singapore