Research Fields
Sixth-Generation (6G)
Non-Terrestrial Networks
Satellite Communication
Edge Computing
Wireless Communication
Cyber-Physical System
Internet of Everything
Network Intelligence
Machine Learning
Stochastic Modeling
Optimization Theory
Bio: I am a Postdoctoral Researcher at the Networking Intelligence Lab, Kyung Hee University, South Korea, under the supervision of Prof. Choong Seon Hong on advanced wireless technologies. Awarded a Bachelor of Science in Electrical Engineering from the National University of Computer and Emerging Sciences, Pakistan, in August 2017. Subsequently, I completed a Doctor of Philosophy in Computer Engineering at Kyung Hee University, Seoul, South Korea, in February 2024.
My research focuses on network resource management, satellite access networks, unmanned aerial vehicles (UAVs), and future communication systems (beyond 5G/6G). I am particularly interested in the potential of reconfigurable intelligent surfaces (RIS), simultaneous transmitting and reflecting RIS (STAR-RIS), integrated sensing and communication (ISAC), and semantic communication (SC) for network optimization. My current research aims to develop Non-Terrestrial Networks (NTNs) leveraging drones, balloons, and satellites to achieve ubiquitous internet access and bridge the digital divide. Employing optimization, game theory, and machine learning techniques, they address key challenges in realizing this vision.
News:
[03/2024] Appointed as a Postdoctoral Researcher at the Networking Intelligence Lab, Department of Computer Science and Engineering, Kyung Hee University, South Korea.
[02/2024] Awarded Ph.D. in Computer Engineering, Department of Computer Science and Engineering, Kyung Hee University, South Korea.
[02/2024] Our work with the title "SpaceRIS: LEO Satellite Coverage Maximization in 6G Sub-THz Networks by MAPPO DRL and Whale Optimization," is published in IEEE Journal on Selected Areas in Communications.
[12/2023] Our work with the title "DAO-FL: Enabling Decentralized Input and Output Verification in Federated Learning with Decentralized Autonomous Organizations", is published in TechRxiv and Submitted to IEEE Transactions on Computational Social Systems.
[10/2023] Our work with the title "Imbalance Cost-Aware Energy Scheduling for Prosumers Towards UAM Charging: A Matching and Multi-Agent DRL Approach," is published in IEEE Transactions on Vehicular Technology.
