Dr. Sami Abdulla Mohsen Saleh

Personal Info

Ph.D. in Computer Vision and Crowd Analysis and Monitoring, Universiti Sains Malaysia (USM).

M.Sc. in Electronic Systems Design Engineering, Universiti Sains Malaysia (USM).

Tel : +604 5995787
Fax : +604 5996909
Email : This email address is being protected from spambots. You need JavaScript enabled to view it.

Researcher Identifiers
Researcher ID : AAM-2906-2021
ORCID : 0000-0002-3917-7407
Scopus Author ID: 56581376400 
Google Scholar ID: Is1GP8EAAAAJ
USM Expertise Link: https://experts.usm.my/cvitae/sami.saleh

Last Updated On 18/11/2024

Research Area

Artificial Intelligence
Computer Vision
Embedded Systems

Research Interest

Selected Publications

Khaniabadi, S.M., Khaniabadi, F.M., Huqqani, I.A., Saleh, S.A.M., Teoh, S.S., and Ibrahim, H., 2024, August. Addressing Imbalanced Data Challenges in Blood Vessel Image Segmentation: A Comprehensive Review. In 2024 IEEE 15th Control and System Graduate Research Colloquium (ICSGRC), pp. 302-307. 

Hamad, Q.S. and Ibrahim Al Amoudi, D., 2024. AGVS and AMRS Robots: A Brief Overview of the Differences and Navigation Principles. In Proceedings of the 12th International Conference on Robotics, Vision, Signal Processing and Power Applications, Springer Nature Singapore, Vol. 1123, p. 255. 

Hamad, Q.S., Saleh, S.A.M., Suandi, S.A., Samma, H., Hamad, Y.S., and Al Amoudi, I., 2024, April. Optimizing Feature Selection for Industrial Casting Defect Detection Using QLESCA Optimizer. In International Conference on Robotics, Vision, Signal Processing and Power Applications, Springer Nature Singapore, pp. 485-491. 

Hamad, Q.S., Saleh, S.A.M., Suandi, S.A., Samma, H., Hamad, Y.S., and Riaz, I., 2021, April. Enhanced Parameter Estimation of Solar Photovoltaic Models Using QLESCA Algorithm. In International Conference on Robotics, Vision, Signal Processing and Power Applications, Singapore: Springer Nature Singapore, pp. 199-205.

Mohammed, M.S., Al-Dhamari, A., Saeed, W., Al-Aswadi, F.N., Saleh, S.A.M. and Marsono, M.N., 2023. Motion Pattern-Based Scene Classification Using Adaptive Synthetic Oversampling and Fully Connected Deep Neural Network. IEEE Access.

Saleh, S.A.M., Kadarman, A.H., Suandi, S.A., Ghaleb, S.A., Ghanem, W.A., Shuib, S. and Hamad, Q.S., 2023. A Tracklet-before-Clustering Initialization Strategy Based on Hierarchical KLT Tracklet Association for Coherent Motion Filtering Enhancement. Mathematics, 11(5), p.1075.

Abdul-Qawy, A.S.H., Alduais, N.A.M., Saad, A.M.H., Taher, M.A.A., Nasser, A.B., Saleh, S.A.M. and Khatri, N., 2023. An enhanced energy efficient protocol for large-scale IoT-based heterogeneous WSNs. Scientific African, 21, p.e01807.

Ghaleb, S.A., Mohamad, M., Ghanem, W.A.H., Nasser, A.B., Ghetas, M., Abdullahi, A.M., Saleh, S.A.M., Arshad, H., Omolara, A.E. and Abiodun, O.I., 2022. Feature Selection by Multiobjective Optimization: Application to Spam Detection System by Neural Networks and Grasshopper Optimization Algorithm. IEEE Access, 10, pp.98475-98489.

Ghaleb, S.A., Mohamad, M., Ghanem, W.A., Abdullahi, A.M., Nasser, A.B., Saleh, S.A.M., Arshad, H., Omolara, A.E., Abiodun, O.I. and Ghetas, M., 2022, September. Grasshopper Optimization Algorithm Based Spam Detection System Using Multi-Objective Wrapper Feature Selection and Neural Network Classification. In International Conference on Emerging Technologies and Intelligent Systems (pp. 576-586). Cham: Springer International Publishing.

Ghanem, W.A.H., Ghaleb, S.A.A., Jantan, A., Nasser, A.B., Saleh, S.A.M., Ngah, A., Alhadi, A.C., Arshad, H., Saad, A.M.H., Omolara, A.E. and El-Ebiary, Y.A.B., 2022. Cyber intrusion detection system based on a multiobjective binary bat algorithm for feature selection and enhanced bat algorithm for parameter optimization in neural networks. IEEE Access, 10, pp.76318-76339.

Saleh, S.A.M., Suandi, S.A. and Ibrahim, H., 2022, February. Impact of Similarity Measure Functions on the Performance of Coherent Filtering Detection. In Proceedings of the 11th International Conference on Robotics, Vision, Signal Processing and Power Applications: Enhancing Research and Innovation through the Fourth Industrial Revolution (pp. 501-506). Singapore: Springer Singapore.

Saleh, S.A.M., Suandi, S.A. and Ibrahim, H., 2015. Recent survey on crowd density estimation and counting for visual surveillance. Engineering Applications of Artificial Intelligence, 41, pp.103-114. 

Postgraduate Opportunities

Position Announcement: Master's Student Opportunity in Electrical and Electronic Engineering School at Universiti Sains Malaysia (USM)
The Electrical and Electronic Engineering School at Universiti Sains Malaysia (USM) is seeking a motivated and talented Master’s student to contribute to an exciting research project.
Project Title:
Vision-Based Prediction Model for Efficient Crowd Management
Project Duration:
One and half year (Master’s program), starting as soon as possible in January 2025.
Monthly Allowance:
RM 1,200.00 (Candidates must be registered as a Master’s student at USM).
Requirements:
• Bachelor’s degree in Computer Science, Electrical and Electronic Engineering, or related fields with a CGPA ≥ 3.3.
• Open to international and Malaysian candidates.
• Proficient in Python and Matlab (humble experience accepted).
• Ability to work independently, with a self-motivated attitude and a strong desire to learn.
How to Apply:
Interested candidates should submit their latest CV and transcript for consideration to:
Dr. Sami A. M. Saleh
Email: This email address is being protected from spambots. You need JavaScript enabled to view it.

Last Updated On 03/01/2025