Prof. Dr. Mohd Shafry Mohd Rahim 

Niche Area : Digital Media and Image Processing

Professor Dr. Mohd Shafry Mohd Rahim, Chair of Institute for Life Ready Graduate, University Technology Malaysia (UTM), Skudai, Johor, Malaysia. Mohd Shafry Mohd Rahim received the Diploma in Computer Science (1997), B.Sc.of Computer Science majoring in Computer Graphics (1999), and MSc. Of Computer Science (2004) from the University Technology Malaysia (UTM), Malaysia and his PhD of Spatial Modelling (2008) from University Putra Malaysia (UPM), Malaysia. He is presently the Professor of Image Processing at the School of Computing, Faculty of Engineering, University Technology Malaysia (UTM), Malaysia. He also serves as Research Fellow of Media and Game Innovation of Excellence (MaGICX), Institute of Human-Centred Engineering (iHuMeN), University Technology Malaysia and leading Image Processing and Application Research Initiatives. His passion is to explore new invention on processing various type images in the emerging application based on the revolution of technology for prospering lives. His research interests include image enhancement, feature extraction, segmentation, recognition, detection and classification; deep learning, computer graphics, computer vision and digital media. His research is funded by University, Malaysia Government, Industries and International such as HORIZON 2020 – EU Research and Innovation Programme. Besides, he also founded the Institute for Life Ready Graduate (iLeaGue), University Technology Malaysia (2020) with the responsibility to ensure graduates are ready for their lives and gainfully employed.

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Selected Publications

JOURNAL
  1. Farooq, U., Rahim, M. S. M., Khan, N. S., Rasheed, S., & Abid, A. (2021). A Crowdsourcing-Based Framework for the Development and Validation of Machine Readable Parallel Corpus for Sign Languages. IEEE Access, 9, 91788-91806.
  2. Kolivand, H., Rahim, M. S., Sunar, M. S., Fata, A. Z. A., & Wren, C. (2021). An integration of enhanced social force and crowd control models for high-density crowd simulation. Neural Computing and Applications, 33(11), 6095-6117.
  3. Farooq, U., Rahim, M. S. M., Sabir, N., Hussain, A., & Abid, A. (2021). Advances in machine translation for sign language: approaches, limitations, and challenges. Neural Computing and Applications, 1-43.
  4. Yew, A. Y. L., & Rahim, M. S. M. (2021). Dimensionality Reduction Methods for Alzheimer’s Disease Classification. International Journal of Computing and Digital Systems, 10.
  5. Adnan, M. M., Rahim, M. S. M., Al-Jawaheri, K., & Neamah, K. (2021, April). A Review of Methods for The Image Automatic Annotation. In Journal of Physics: Conference Series (Vol. 1892, No. 1, p. 012002). IOP Publishing.
  6. Waheed, S. R., Suaib, N. M., Rahim, M. S. M., Adnan, M. M., & Salim, A. A. (2021, April). Deep Learning Algorithms-based Object Detection and Localization Revisited. In Journal of Physics: Conference Series (Vol. 1892, No. 1, p. 012001). IOP Publishing.
  7. Adnan, M. M., Rahim, M. S. M., Rehman, A., Mehmood, Z., Saba, T., & Naqvi, R. A. (2021). Automatic image annotation based on deep learning models: a systematic review and future challenges. IEEE Access.
  8. Javed Awan, M., Mohd Rahim, M. S., Nobanee, H., Yasin, A., & Khalaf, O. I. (2021). A big data approach to black friday sales. MJ Awan, M. Shafry, H. Nobanee, A. Yasin, OI Khalaf et al.,” A big data approach to black friday sales,” Intelligent Automation & Soft Computing, 27(3), 785-797.
  9. Javed Awan, M., Mohd Rahim, M. S., Nobanee, H., Munawar, A., Yasin, A., & Zain, A. M. (2021). Social media and stock market prediction: a big data approach. MJ Awan, M. Shafry, H. Nobanee, A. Munawar, A. Yasin et al.,” Social media and stock market prediction: a big data approach,” Computers, Materials & Continua, 67(2), 2569-2583.
  10. Javed, R., Rahim, M. S. M., Saba, T., Fati, S. M., Rehman, A., & Tariq, U. (2021). Statistical Histogram Decision Based Contrast Categorization of Skin Lesion Datasets Dermoscopic Images. CMC-COMPUTERS MATERIALS & CONTINUA, 67(2), 2337-2352.
  11. Javed Awan, M., Mohd Rahim, M. S., Salim, N., Mohammed, M. A., Garcia-Zapirain, B., & Abdulkareem, K. H. (2021). Efficient detection of knee anterior cruciate ligament from magnetic resonance imaging using deep learning approach. Diagnostics, 11(1), 105.
  12. Javed Awan, M., Mohd Rahim, M. S., Salim, N., Mohammed, M. A., Garcia-Zapirain, B., & Abdulkareem, K. H. (2021). Efficient detection of knee anterior cruciate ligament from magnetic resonance imaging using deep learning approach. Diagnostics, 11(1), 105.

People

Postgraduate Supervision

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MASTER

Alumni

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Practical Student

For More Info

Research Keyword : Image Processing, Digital Media, Business Analytics

Lab : Media and Game Innovation Centred of Excellence (MAGICX)

Email : shafry@utm.my

Scholar Publication Link : 

1. https://scholar.google.com.my/citations?hl=en&user=BOREvQ4AAAAJ&view_op=list_works&sortby=pubdate

2. https://www.scopus.com/authid/detail.uri?authorId=57210569784

Personal Website : https://people.utm.my/shafry/