Muhammad Toaha Raza Khan

Assistant Professor of Computer Engineering · METU Northern Cyprus Campus

I am an Assistant Professor in the Department of Computer Engineering at Middle East Technical University Northern Cyprus Campus (METU-NCC). My research concerns networked communication systems and edge intelligence: how resource-constrained devices can sense, communicate and decide reliably when bandwidth, energy and latency are scarce.

My current work spans task-oriented and semantic communication over low-power wide-area networks such as LoRa, 5G/6G Internet of Things and non-terrestrial networks, vehicular communications (V2X), flying ad hoc networks (FANETs), and applied machine learning at the network edge. Earlier work addressed the Internet of Underwater Things, named data networking, and human activity recognition with ambient binary sensor networks.

I received my Ph.D. (combined M.S.) in Computer Science and Engineering from Kyungpook National University, South Korea, in 2022, where I was a graduate research engineer in the Wireless and Mobile Internet Laboratory (MoNet). Before joining the faculty in 2024, I was a Postdoctoral Research Fellow at METU-NCC. I hold a B.S. in Electrical Engineering (Telecommunication) from COMSATS Institute of Information Technology, Pakistan, where I received the Institute and Campus Gold Medals.

Research Interests

• Edge AI & semantic communication
• LoRa & LPWAN
• 5G/6G IoT
• Non-terrestrial networks
• Vehicular networks (V2X)
• UAV / FANETs
• Internet of Underwater Things
• Named data networking
• Human activity recognition
• Applied machine learning

Recent News

• 2026Paper “VISTA-LoRa: Task-Oriented Semantic Visual Transmission for Ultra-Low-Bitrate LoRa” published in IEEE Wireless Communications Letters.
• 2026Paper on edge-native architecture for 6G NTN V2X published in IEEE Communications Standards Magazine.
• 2026Appointed Associate Editor of Wireless Personal Communications (Springer).
• 2026Two AdımODTÜ undergraduate research projects accepted (ADIMODTÜ-2026/8 and 2026/9) under my supervision.
• 2026Systematic review on AI-driven smart home appliance optimization published in Applied Energy.
• 2025Systematic review “Human Activity Recognition Using Binary Sensors” published in Information Fusion.

Prospective Students

I welcome motivated undergraduate and graduate students interested in wireless networking, edge intelligence and IoT systems. Please email me with your CV, transcript and a short statement of the problems you would like to work on.