Muhammad Zohaib Siddique is an accomplished Network Engineer and Researcher with over 13 years of experience in network administration. Currently a Network Administrator at the Virtual University of Pakistan, He specializes in network infrastructure management, cybersecurity, and network troubleshooting, with experience in implementing security controls and monitoring organizational IT environments. Muhammad has hands on experience with XDR and SIEM solutions for security monitoring, threat detection, incident analysis, and response. His expertise also includes managing campus networks, implementing cybersecurity practices and SOPs, identifying security vulnerabilities, and ensuring secure, reliable, and optimal network operations. He holds a Master of Science in Computer Science from Riphah International University and is a Cisco Certified Network Associate (CCNA) and CompTIA Security certified professional. His academic work includes notable research in job scheduling algorithms for cloud environments and machine learning techniques for skin cancer detection, with publications in international conferences and journals. Muhammad’s skill set spans network infrastructure management, cybersecurity, server administration, virtualization, and network troubleshooting, with hands-on experience using tools such as GNS3, Packet Tracer, and Wireshark. His professional journey also features a significant role as a Team Leader at COMVISION Soft, where he handled network and software support, and as a Laboratory Analyst at Sitara Chemical Industries Ltd., where he contributed to research and development efforts. With a track record of delivering robust network solutions and participating in key industry conferences on digitalization and cybersecurity, Muhammad is dedicated to continuously advancing his technical skills and knowledge in Cybersecurity, Network Engineering, and Research.

Muhammad’s research interests focus on Cloud Computing, Edge, Fog Computing, Artificial Intelligence and Machine Learning, Cybersecurity, and intelligent resource management. His research particularly explores job scheduling and resource optimization in cloud environments, AI, MLbased classification, and the application of intelligent techniques to solve real world computing and security challenges.