About
Ali Nauman received M.Sc. degree in wireless communications from the Institute of Space Technology, Islamabad Pakistan, in 2016 and a Ph.D. degree in Information and Communication Engineering from Yeungnam University, Republic of Korea, in 2022. Currently, he is working as an Assistant Professor with the Department of Information and Communication (ICE), Yeungnam University, Republic of Korea. He has contributed to five patents and authored/co-authored 3 book chapters and more than 120 technical articles in leading journals and peer-reviewed conferences. The main domain of his research is in the field of artificial intelligence-enabled wireless networks for tactile healthcare, multimedia, and industry 5.0. The research interest also includes resource allocation for 5G and Beyond-5G (B5G) networks, Device-to-Device communication (D2D), Internet-of-Everything (IoE), URLLC, Tactile Internet (TI), and Artificial Intelligence (AI).
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Education
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Publications (87)
- Energy-Efficient RIS-Assisted UAV Relaying for IoT via Q-Learning-Based Phase Optimization Save
- Learning to Configure Passive RIS on High-Altitude Platform Stations for Energy-Efficient IoT Communications Save
- Deep Reinforcement Learning-Based Energy-Efficient Resource Allocation and Scheduling in 6G-Enabled UAV-Assisted IoT Wireless Networks Save
- An Intelligent Energy-Aware Framework for 6G-Enabled Non-Terrestrial IoT via Reinforcement Learning Save
- Correction: Aggarwal et al. An Artificial Intelligence-Based Stacked Ensemble Approach for Prediction of Protein Subcellular Localization in Confocal Microscopy Images. Sustainability 2023, 15, 1695 Save
- Multilayer placement of heterogeneous UAVs and tethered balloons for digital twin-assisted smart city systems Save
- Reliable Covert Communication in NOMA-Aided Cognitive Satellite Aerial Terrestrial Integrated Networks Save
- Covert Communication for Satellite Aerial–Ground Integrated Networks Under Imperfect Limitations Save
- Coverage Probability Analysis and Optimization for Stochastic Geometry-Based Multi-Satellite Cooperative Systems Under Dynamic Channels Save
- Covert Communication for 6G NTN: Background, Techniques, and Directions Save
- Covert Communication in Integrated Satellite Aerial Terrestrial Networks: A NOMA-Enhanced Framework With Practical Constraints Save
- Mitigating Ephemeris Uncertainty in LEO Geolocation: An Uncertainty-Aware Weighted Least Squares Method via Dual-Satellite Cumulative TDOA/FDOA Fusion Save
- RSU-Assisted Edge Coordination for Collision-Minimized CAM and DENM Broadcasting in Internet of Vehicles over NR-V2X Mode 2 Save
- Reliable Covert Communication for Integrated Cognitive Satellite–Aerial–Terrestrial Networks With NOMA and Poisson-Distributed Jammers Save
- Satellite Air Ground Integrated Networks: Architecture, Technologies, and Future Directions Save
- Covert Communications for Energy-Efficient ISTRNs With Opportunistic Scheduling and Cooperative Jamming Save
- Vehicles-to-Everything Standardization, Services, and Enhancements for Intelligent Transportation Systems Save
- Lightweight Reinforcement Learning for Priority-Aware Spectrum Management in Vehicular IoT Networks Save
- Covert Transaction for Cognitive Integrated Satellite Aerial Ground Networks With NOMA and Imperfect Limitations Save
- A Scalable Reinforcement Learning Framework for Ultra-Reliable Low-Latency Spectrum Management in Healthcare Internet of Things Save