Sheikh Salman Hassan

Research Fields

6G
ISAC
Non-Terrestrial Networks
Satellite Communication
Edge Computing
Wireless Communication
Cyber-Physical System
Internet of Everything
Network Intelligence
Machine Learning
Stochastic Modeling
Optimization Theory
Distributed Learning
Semantic Communication
Quantum Communication
Quantum Computation
Quantum Internet

Bio

I am a Research Associate at the Institute for Imaging, Data, and Communications (IDCoM), School of Engineering, The University of Edinburgh, Edinburgh, United Kingdom, working on advanced wireless technologies under the supervision of Prof. Tharm Ratnarajah. Before that, I was a Postdoctoral Researcher at the Networking Intelligence Lab, Kyung Hee University, South Korea, under the supervision of Prof. Choong Seon Hong on advanced wireless networking technologies. I was awarded a Bachelor of Science in Electrical Engineering from the National University of Computer and Emerging Sciences, Pakistan, in Aug. 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 (SANs), unmanned aerial vehicles (UAVs), and future communication systems (beyond 5G and 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-enabled satellite communication (SSC) 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 to address key challenges in realizing this vision.

Recent Updates

[09/2025] Our work titled Quantum Machine Learning for 6G Space-Air-Ground Integrated Networks: A Comprehensive Tutorial and Survey has been accepted by IEEE Communications Surveys and Tutorials.
[09/2025] Our work titled Sustainable UAV-Mounted Active Reconfigurable Intelligent Surface for Remote User Connectivity via Learning-Based Optimization will appear in the proceedings of the 2025 IEEE Global Communications Conference (GLOBECOM) Workshop.
[08/2025] Serving as Program Committee (PC) Member for The Thirteenth International Symposium on Computing and Networking (CANDAR 2025).
[08/2025] Our Work, Energy-Efficient Multi-UAV-Assisted Integrated Sensing, Communication, and Computing for Remote Areas, will appear in the proceedings of the 2025 IEEE Global Communications Conference (GLOBECOM)
[06/2025] Our work, Cross-modal Knowledge Distillation for Efficient Radar-Only Beam Prediction in mmWave Communications, will appear in the proceedings of the 2025 IEEE 26th International Workshop on Signal Processing and Artificial Intelligence in Wireless Communications.
[06/2025] Our work, Semantic Communication Enabled 6G-NTN Framework: A Novel Denoising and Gateway Hop Integration Mechanism, was accepted by IEEE Transactions on Wireless Communications.
[06/2025] We released a preprint titled Enhancing Remote User Network Experience through Coordinated UAV-Mounted Active and Passive RIS.
[05/2025] We released a preprint titled SemSpaceFL: A Collaborative Hierarchical Federated Learning Framework for Semantic Communication in 6G LEO Satellites.
[05/2025] Serving in a Chairing Committee of The 21st International Wireless Communications & Mobile Computing Conference (IWCMC 2024) - Edge Intelligence for Internet of Things (Edge-Intel_IoT) Workshop.
[03/2025] Our Patent Application (Patent No US20250096888A1) titled Intelligent transportation system using multi-layer satellite and communication method using the same, is submitted to the United States Patent and Trademark Office (USPTO) (Patentee: Kyung Hee University Industry-Academy Collaboration Foundation).
[03/2025] Our work Design Optimization of NOMA Aided Multi-STAR-RIS for Indoor Environments: A Convex Approximation Imitated Reinforcement Learning Approach, was accepted by IEEE Transactions on Mobile Computing.
[02/2025] Our work, Spectrum Efficiency Optimization in 6G Satellite Networks: An Inverse Reinforcement Learning Approach, was published in the 2025 IEEE International Conference on Machine Learning for Communication and Networking (ICMLCN).
[01/2025] We release a preprint titled Enabling Continuous Earth Observation through 6G NTN: Multi-Source Semantic Communication and Denoising.

Please feel free to reach out to me by Email for additional information.

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