Salma M. Elhag

Work place: King Abdulaziz University/Faculty of Computing and Information Technology, Jeddah, 21589, Saudi Arabia



Research Interests: Artificial Intelligence, Data Mining, Network Security


Salma Elhag received the B.S., M.S., and Ph.D. degrees in computer science from the University of Khartoum, Sudan, in 2003, 2006, and 2014, respectively. Since 2014, she has worked as a Teaching Assistant and then as a Lecturer with the University of Kahrtoum. Since 2011, she worked as a Lecturer with the Faculty of Computing and Information Technology, King Abdul-Aziz University, as an Assistant Professor, since 2014, and as an Associate Professor, since 2019. Her research interests include artificial intelligence, computation intelligence, network security, data mining, artificial neural networks, fuzzy logic, and evolutionary algorithms.

Author Articles
Accident Response Time Enhancement Using Drones: A Case Study in Najm for Insurance Services

By Salma M. Elhag Ghadi H. Shaheen Fatmah H. Alahmadi

DOI:, Pub. Date: 8 Dec. 2023

One of the main reasons for mortality among people is traffic accidents. The percentage of traffic accidents in the world has increased to become the third in the expected causes of death in 2020. In Saudi Arabia, there are more than 460,000 car accidents every year. The number of car accidents in Saudi Arabia is rising, especially during busy periods such as Ramadan and the Hajj season. The Saudi Arabia’s government is making the required efforts to lower the nations of car accident rate. This paper suggests a business process improvement for car accident reports handled by Najm in accordance with the Saudi Vision 2030. According to drone success in many fields (e.g., entertainment, monitoring, and photography), the paper proposes using drones to respond to accident reports, which will help to expedite the process and minimize turnaround time. In addition, the drone provides quick accident response and recording scenes with accurate results. The Business Process Management (BPM) methodology is followed in this proposal. The model was validated by comparing before and after simulation results which shows a significant impact on performance about 40% regarding turnaround time. Therefore, using drones can enhance the process of accident response with Najm in Saudi Arabia.

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