Rashid A. Saeed

Rashid A. Saeed received his Ph.D. in Communications and Network Engineering, Universiti Putra Malaysia (UPM). Currently, he is a professor in Computer Engineering Department, Taif University. He was working in the Electronics Department, Sudan University of Science and Technology (SUST). He was a senior researcher in Telekom Malaysia™ Research and Development (TMRND) and MIMOS. Rashid published more than 150 research papers, books, and book chapters on wireless communications and networking in peer-reviewed academic journals and conferences. His areas of research interest include a computer network, cognitive computing, computer engineering, wireless broadband, WiMAX Femtocell. He is successfully awarded 3 U.S patents in these areas. He supervised more than 50 MSc/Ph.D. students. Rashid is a Senior Member of IEEE, Member in IEM (I.E.M), SigmaXi, and SEC.

Publications

Applications ML in UAVs-Based Detecting and Tracking Objects and People
Applications ML in UAVs-Based Detecting and Tracking Objects and People
Rashid A. Saeed, Nahla A. Nur Elmadina. © 2024. 18 pages.
This chapter provides an overview of the diverse applications of ML in UAVs for object and people detection and tracking. It begins by examining the current landscape of...
Monitoring of Wildlife Using Unmanned Aerial Vehicle (UAV) With Machine Learning
Monitoring of Wildlife Using Unmanned Aerial Vehicle (UAV) With Machine Learning
Zeinab E. Ahmed, Aisha H. A. Hashim, Rashid A. Saeed, Mamoon M. Saeed. © 2024. 24 pages.
Wildlife monitoring is critical for ecological study, conservation, and wildlife management, but traditional approaches have drawbacks. The combination of unmanned aerial...
Enhancing Medical Services Through Machine Learning and UAV Technology: Applications and Benefits
Enhancing Medical Services Through Machine Learning and UAV Technology: Applications and Benefits
Rashid A. Saeed, Mamoon M. Saeed, Zeinab E. Ahmed, Aisha H. A. Hashim. © 2024. 37 pages.
This chapter focuses on the enhancement of medical services through the integration of unmanned aerial vehicle (UAV) technology and machine learning algorithms. It explores the...