M.S. Electrical and Computer Engineering, Inha University, South Korea, 2020
B.S. Electrical Engineering, University of Engineering and Technology, Pakistan, 2015
Courses Taught
44481: Ethical Hacking
44382: Secure Programming
44386: Digital Forensics
44457: Applied Cryptography
44356: Network Fundamentals
CSC-2310: Object Oriented Programming in (Python & Java)
CSC-3410: Computer Org/Assembly Language Programming
EE-271: Data Structure in C++
Academic Interests
Penetration Testing and Risk Assessment
AI-Assisted Cybersecurity Solutions for UAVs and CAVs
Machine Learning and LLM
Security of 5G-V2X
Scholarly Activity
Selected Publications:
A. Mughal, R. Atat, and M. Ismail, “Next-Gen Defense: an Architecture-Independent Sequential Ensemble Learning for Intrusion Detection in a Swarm of UAVs”, in IEEE Transactions on Intelligent Transportation Systems (2024). (Under Review)
A. Mughal, R. Atat, and M. Ismail, "Robust Topology-aware Graph Neural Network-Based Intrusion Detection System for a Swarm of UAVs" in IEEE Transactions on Intelligent Transportation Systems (2024). (Under Review)
A. Mughal, I. Ahmad, and C. Yuen, “Ensemble Learning-Based Intrusion Detection System for RIS-Assisted V2X Communication”, in IEEE Transactions on Consumer Electronics (2024).(Under Review)
Ahmad, R. Narmeen, U. A. Mughal, and K. H. Chang, “ Optimizing Cell Association and Stability in Integrated Aerial-to-Ground Next-Generation Consumer Wireless Networks,” in IEEE Transactions on Consumer Electronics (2024).
A. Mughal, Y. Alkhrijah, A. Almadhor, C. Yuen, “ Deep Learning for Secure UAV-Assisted RIS Communication Networks”, Internet of Thing Magazine (2024).
C. Hassler, U. A. Mughal, and M. Ismail, “Cyber-Physical Intrusion Detection System for Unmanned Aerial Vehicles,” in IEEE Transactions on Intelligent Transportation Systems (2023).
A. Mughal, R. Atat, and M. Ismail, Graph Neural Network-based Intrusion Detection System for a Swarm of UAVs”, in 2024 IEEE Military Communications Conference (MILCOM-2024), Washington, DC, USA.
A. Mughal, S. C. Hassler and M. Ismail, “Machine Learning-Based Intrusion Detection for Swarm of Unmanned Aerial Vehicles,” 2023 IEEE Conference on Communications and Network Security (CNS), Orlando, FL, USA, 2023, pp. 1-9, doi: 10.1109/CNS59707.2023.10288962.
U. A. Mughal, M. Ismail and S. A. A. Rizvi, “Stealthy False Data Injection Attack on Unmanned Aerial Vehicles with Partial Knowledge,” 2023 IEEE Conference on Communications and Network Security (CNS), Orlando, FL, USA, 2023, pp. 1-9, doi: 10.1109/CNS59707.2023.10289001.
Other Professional Experiences
Reviewer, IEEE Transactions on Intelligent Transportation Systems
Reviewer, IEEE Internet of Things Journal
Reviewer, IEEE Transactions on Consumer Electronics
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