Sulaiman Al amro

Highly skilled IT professional with extensive expertise in computer malware analysis, database concepts, and web development. Proficient in a wide range of programming languages including C, C++, Java, ASP.NET, VBasic, Assembly, and C#. Demonstrated ability in systems analysis and project management using tools such as MS Project and Visio. Experienced in web programming with HTML and JavaScript, as well as managing web servers like Apache Tomcat and IIS. Adept at utilising graphics applications including Adobe Photoshop, SwishMax, and 3D Studio Max to enhance web development projects. Career goal: to leverage technical skills and project management experience to drive innovative solutions in a dynamic IT environment.

• IEEE Computer Society (IEEE)
• Saudi Scientific Society for Cybersecurity
• Member of Saudi Internet Scientific Society (SISS), Qassim University
• Member of the Innovative Research Organization (IRO), Malaysia
• Cyber Security Centre (CSC) at De Montfort University, Leicester, UK

• Al Amro, S. Al, Francisco Chiclana, and David A. Elizondo. "Application of fuzzy logic in computer security and forensics." Computational Intelligence for Privacy and Security (2012): 35-49.
• Al Amro, S. A., Elizondo, D. A., Solanas, A., & Martínez-Ballesté, A. (2012). Evolutionary computation in computer security and forensics: An overview. Computational Intelligence for Privacy and Security, 25-34.
• Al Amro, S., 2017 A study of Android Operating System Security. 2nd International Conference of Computation and Communication Technologies (ICCCT 2017). Malaysia, Kuala lumpur, May 19-20.
• Muhammad Saqib, S., Iqbal, M., Tahar Ben Othman, M., Shahazad, T., Yasin Ghadi, Y., Al-Amro, S., & Mazhar, T. (2024). Lumpy skin disease diagnosis in cattle: A deep learning approach optimized with RMSProp and MobileNetV2. Plos one, 19(8), e0302862.