Muhammad teaches Computer Networks and Cyber Security, with specialist areas in Malware analysis, Network security, ethical hacking, IoT, and blockchain. His research interests lie at the intersection of AI and cybersecurity, with a particular focus on developing techniques to automatically protect systems from vulnerabilities and malicious behaviors.
Muhammad graduated with a BSc degree in Computer Engineering, and MS in Information Security Management. Being interested in cybersecurity, he pursued his Ph.D. in Cybersecurity (Waiting for final viva).
Muhammad has accumulated over 12 years of professional and academic experience in diverse industries and universities. He has worked as a lecturer, researcher, Network Administrator, Head of the IT department, Manager in Cybersecurity, and Cybersecurity expert in the public and private sectors.
Muhammad is a member of our Cyber Security and Networking Research Group
Muhammad is a member Fellow of the UCL Blockchain research group
Module leader and tutor for several modules
PhD. in Cybersecurity (Scholarship winner) (Waiting for Viva,) Plymouth University, www.plymouth.ac.uk.
MS in Information Security Management, SZABIST, Islamabad, http://www.szabist-isb.edu.pk ISM focus:
BCE Computer Engineering, COMSATS Institute of Information Technology, Islamabad https://www.comsats.edu.pk.
Worked as CO-I in the project funded by the kingdom of Saudi Arabia ministry of education Umm Al-Qura university deanship of scientific research.
“MALGRA: Machine Learning and N-Gram Malware Feature Extraction and Detection System”, Electronics 2020, 9(11), 1777; https://doi.org/10.3390/electronics9111777, Published: 26 October 2020 In Special Issue Prevention, Detection, Reaction, and Mitigation of Physical and Cyber Threats, MDPI.
“A Proactive Malicious Software Identification Approach for Digital Forensics Examiners”. Journal: Journal of Information Security and Applications; Accepted for publication, https://doi.org/10.1016/j.jisa.2019.04.013
“QoS and security in VOIP Networks through Admission Control Mechanism”. Fahan Ul Arifeen, Muhammad Ali, Sajjad Ashraf. Published in IEEE http://ieeexplore.ieee.org/document/7429905
“Agent-based Vs Agent-less Sandbox for Dynamic Behavioral Analysis”, submitted a paper in The 2018 Global Information Infrastructure and Networking Symposium (GIIS) - Special Session 3: Security, Privacy, and Trust in the Internet of Things October 23-25 2018, Thessaloniki, Greece. https://ieeexplore.ieee.org/abstract/document/8635598