Research output per year
Research output per year
Personal profile
Biography
Dr. Osamah Al-Qershi is a post-doctoral research fellow at the faculty of Information Technology, Monash University. He obtained his bachelor degree in computer control engineering from University of Technology, Baghdad. Then, he obtained both his masters and Ph.D. degrees in Image Processing from Universiti Sains Malaysia (USM).
Research interests
My main research interests currently include:
- Deep learning-based early prediction of breast cancer
- Utilizing deep learning in image forensics and steganography
- Computer vision in marketing analytics
Education/Academic qualification
Computer Vision, PhD, Universiti Sains Malaysia (University of Science Malaysia)
Award Date: 31 Jul 2018
Computer Vision, MSc, Universiti Sains Malaysia (University of Science Malaysia)
Award Date: 31 Mar 2011
Research area keywords
- Image Processing and Computer Vision
- Machine Learning
- Image forensics
- Steganography
- Data analysis
- Data mining
- artificial intelligence
Network
Recent external collaboration on country level. Dive into details by clicking on the dots or
Research output
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Towards a universal steganalyser using convolutional neural networks
Kadhim, I. J., Premaratne, P., Vial, P. J., Al-Qershi, O. M. & Al-Shebani, Q., 2020, Intelligent Computing Methodologies : 16th International Conference, ICIC 2020 Bari, Italy, October 2–5, 2020 Proceedings, Part III. Huang, D-S. & Premaratne, P. (eds.). Cham Switzerland: Springer, p. 611-623 13 p. (Lecture Notes in Computer Science ; vol. 12465 ).Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
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Evaluation of copy-move forgery detection: datasets and evaluation metrics
Al-Qershi, O. M. & Khoo, B. E., 12 Jun 2018, In : Multimedia Tools and Applications. 77, 24, p. 31807-31833 27 p.Research output: Contribution to journal › Article › Research › peer-review
13 Citations (Scopus) -
Comparison of matching methods for copy-move image forgery detection
Al-Qershi, O. M. & Khoo, B. E., 2016, 9th International Conference on Robotic, Vision, Signal Processing and Power Applications: Empowering Research and Innovation. Ibrahim, H., Iqbal, S., Teoh, S. S. & Mustaffa, M. T. (eds.). Singapore Singapore: Springer, p. 209-218 10 p. (Lecture Notes in Electrical Engineering; vol. 398).Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
6 Citations (Scopus) -
Copy-move forgery detection using on locality sensitive hashing and k-means clustering
Al-Qershi, O. M. & Khoo, B. E., 2016, Information Science and Applications (ICISA) 2016. Kim, K. J. & Joukov, N. (eds.). Singapore Singapore: Springer, p. 663-672 10 p. (Lecture Notes in Electrical Engineering; vol. 376).Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
5 Citations (Scopus) -
Enhanced matching method for copy-move forgery detection by means of Zernike moments
Al-Qershi, O. M. & Khoo, B. E., 2015, Digital-Forensics and Watermarking: 13th International Workshop, IWDW 2014 Taipei, Taiwan, October 1–4, 2014 Revised Selected Papers. Shi, Y-Q., Joong Kim, H., Pérez-González, F. & Yang, C-N. (eds.). Cham Switzerland: Springer, p. 485-497 13 p. (Lecture Notes in Computer Science; vol. 9023).Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
8 Citations (Scopus)