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Dr. Muhammad Saud Khan

Assistant Professor | Department of Computer Science

Email: [email protected]

Department: Computer Science

Qualification: PhD Computer Science, Capital University of Science and Technology, Islamabad, Pakistan

Specialization: Cyber security (PhD major)

Faculty Profile

Dr. Muhammad Saud Khan is an Assistant Professor at Air University and has been serving as Chair of the Department of Computer Science since 2025. He joined Air University as an Assistant Professor in 2021 after serving as a Lecturer at COMSATS University Islamabad from 2011 to 2021.

He earned his PhD in Computer Science from Capital University of Science and Technology, Islamabad, Pakistan, in 2019. His doctoral research focused on a signed-response-based node authentication and data securing scheme for wireless sensor networks.

His research interests include IoT security, wireless sensor networks, lightweight authentication, blockchain-enabled IoT security, machine learning, artificial intelligence, smart health and embedded systems.

He has participated in funded research and development projects, supervised MS theses and contributed to PhD supervision as a co-supervisor or Research Management Committee member.

Academic Qualification

Highest Qualification: PhD in Computer Science

Institution: Capital University of Science and Technology, Islamabad, Pakistan

Year: 2019

Area of Specialization: Cyber Security

PhD Thesis: A Signed-Response Based Node Authentication and Data Securing Scheme for Wireless Sensor Networks

Research Expertise

IoT Security Wireless Sensor Networks IoT and 5G/6G Networks Machine Learning Artificial Intelligence Smart Health Embedded Systems Blockchain-enabled IoT Security Lightweight Authentication Internet of Drones Federated Learning Explainable AI Smart Aquaculture

Research Keywords: IoT security, Internet of Medical Things, wireless sensor networks, node authentication, signed response, Sybil attack detection, lightweight cryptography, blockchain, Internet of Drones, federated learning, explainable AI and smart aquaculture.

Research Group: Communication Systems Research Group

Research Projects & Funding

Selected ongoing and completed research projects are listed below.

Project Title	Role	Status	Funding Agency / Sponsor
Smart Biofloc Fish Farming System Using IoT and AI for Water-Efficient Aquaculture	Principal Investigator (PI)	Approved	Pakistan Science Foundation
Fish Habitat Monitoring and Decision Making Using Wireless Sensor Networks		Completed, 2020	IGNITE
Biofloc Water Parameters Monitoring and Controlling Using Internet of Things (IoT)		Completed, 2022	IGNITE
Secure Patient Monitoring System Using IoT		Completed, 2023	IGNITE

International Research Collaboration

Partner: Qassim University, Saudi Arabia

Proposed Research: Next Generation Aquaculture: A Smart Solution for High-Yield Fish Farming to Address Current Global Food Security Challenges Using AI.

Status: Submitted