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Muhammad Ahmad Amin

 

Muhammad Ahmad Amin is currently a Postdoctoral Fellow at the School of Cyber Science and Technology, Sun Yat-sen University, under the supervision of Professor Ni Jiangqun. He earned his Ph.D. from the School of Electronics and Information Engineering, South China University of Technology, Guangzhou, China. His research focuses on trustworthy machine learning, multimedia forensics, image processing, information security, and biometrics. He has published multiple research articles and holds patents in leading international journals and conferences.

 

Email:

Muhammad8@mail.sysu.edu.cn

 

Website:

https://7ahmadamin.github.io/

 

Education:

2024.12-present, Sun Yat-sen University, School of Cyber Science and Technology, Postdoctoral Fellow

2018.09-2024.06, South China University of Technology, School of Electronics and Information Engineering, PhD

2016.09-2018.06, South China University of Technology, School of Electronics and Information Engineering, Master

2009.09-2018.06,The University of Faisalabad, Department of Electrical Engineering, Bachelor

 

Representative Publications:

Patents

An Adaptive Detection Method for the Upper and Lower Edges of the Low-quality Finger Vein Images, Innovator: Yongjian Hu, Muhammad Ahmad Amin, Wan Dongxia, Wang Yufei, and Beibei Liu , China National Intellectual Property Administration, China, 2022, vol. CN 109409181 B.

Journals and Conferences

  1. Muhammad Ahmad Amin, Yongjian Hu, Yu Guan, Muhammad Zain Amin, Exploring varying color spaces through representative forgery learning to improve deepfake detection, Digital Signal Processing, Volume 147, 2024, 104426, ISSN 1051-2004, https://doi.org/10.1016/j.dsp.2024.104426
  2. Muhammad Ahmad Amin, Yongjian Hu, Chang-Tsun Li, Beibei Liu, Deepfake detection based on cross-domain local characteristic analysis with multi-domain transformer, Alexandria Engineering Journal, Volume 91, 2024, Pages 592-609, ISSN 1110-0168, https://doi.org/10.1016/j.aej.2024.02.035.
  3. Muhammad Ahmad Amin, Yongjian Hu, Jiankun Hu. Analyzing temporal coherence for deepfake video detection[J]. Electronic Research Archive, 2024, 32(4): 2621-2641. doi: 10.3934/era.2024119
  4. M. A. Amin, Y. Hu, H. She, J. Li, Y. Guan and M. Z. Amin, "Exposing Deepfake Frames through Spectral Analysis of Color Channels in Frequency Domain," 2023 11th International Workshop on Biometrics and Forensics (IWBF), Barcelona, Spain, 2023, pp. 1-6, doi: 10.1109/IWBF57495.2023.10157211.

 

Awards and Honors:

2022.09 - 2024.07, Guangdong Government Outstanding International Student Scholarship, Ph.D.

2016.09 - 2022.07, Chinese Government Fellowship, Ph.D. and Master

2016.09 - 2024.07, Excellent Graduate Student's Award, Ph.D. and Master