Ali Nauman

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Assistant Professor

Yeungnam University

South Korea

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About

Ali Nauman is an Assistant Professor at Yeungnam University in South Korea. His research interests encompass areas including reinforcement learning in healthcare IoT, machine learning frameworks for unmanned aerial vehicles, and communication optimization in beyond 5G networks. He has published extensively on topics such as energy-aware communication, spectrum management for vehicular IoT systems, and securing UAVs against GPS spoofing attacks.

Recent Grants

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Provision of In-flight Internet and Wi-Fi services using High Altitude Platforms

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Collaborators (12)

Zafar Iqbal Khan

SAUDI ARABIA

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Yasir Hamid

UNITED ARAB EMIRATES

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Wang-Cheol Song

Jeju National University

SOUTH KOREA

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Shakila Basheer

SAUDI ARABIA

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Tahir Khurshaid

Yeungnam University

SOUTH KOREA

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ALI ALWAN

Assistant Professor

Ramapo College of New Jersey

UNITED STATES

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Khalid Mohiuddin

SAUDI ARABIA

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Sungwon Kim

Yeungnam University

SOUTH KOREA

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Khuram Naveed

Aarhus University

DENMARK

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Adeel Iqbal

Assistant Professor

Yeungnam University

SOUTH KOREA

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Haejoon Jung

Associate Professor

Kyungpook National University

SOUTH KOREA

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Yasir Javed

SAUDI ARABIA

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Ali Nauman

Research Interests

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About

Recent Grants

Articles (30)

Covert Communications for Energy-Efficient ISTRNs with Opportunistic Scheduling and Cooperative Jamming

A Scalable Reinforcement Learning Framework for Ultra-Reliable Low-Latency Spectrum Management in Healthcare Internet of Things

Electromagnetic emission-aware Machine Learning enabled scheduling framework for Unmanned Aerial Vehicles

IBN-ZTSA: AI-IBN for Zero Touch Service Automation of B5G Terrestrial and Non-Terrestrial Networks

Energy-Aware Ultra-Reliable Low-Latency Communication for Healthcare IoT in Beyond 5G and 6G Networks

Priority-Aware Spectrum Management for QoS Optimization in Vehicular IoT

Adaptive Communication Model for QoS in Vehicular IoT Systems Using CTMC

DeepSpoofNet: a framework for securing UAVs against GPS spoofing attacks

Optimizing Spectral Utilization in Healthcare Internet of Things

Covert Communication for Satellite Aerial Ground Integrated Networks Under Imperfect Limitations

Electromagnetic Field Exposure-Aware AI Framework for Integrated Sensing and Communications-Enabled Ambient Backscatter Wireless Networks

Energy efficiency optimization for 6G multi-IRS multi-cell NOMA vehicle-to-infrastructure communication networks

Efficient resource allocation and user association in NOMA-enabled vehicular-aided HetNets with high altitude platforms

Empowering the Vehicular Network with RIS Technology: A State-of-the-Art Review

Empowering the Vehicular Network with RIS Technology: A State-of-the-Art Review

Communication and computational resource optimization for Industry 5.0 smart devices empowered by MEC

Communication and computational resource optimization for Industry 5.0 smart devices empowered by MEC

AI-Driven Data Analytics and Intent-Based Networking for Orchestration and Control of B5G Consumer Electronics Services

Comparative Growth Analysis of Onion in Deep Water Culture and Soil Based Systems: Enhancing Medicinal Plant Cultivation in Urbanized Environments

Dynamic resource management in integrated NOMA terrestrial-satellite networks using multi-agent reinforcement learning

OCI-OLSR: An Optimized Control Interval-Optimized Link State Routing-Based Efficient Routing Mechanism for Ad-Hoc Networks

LUVS-Net: A Lightweight U-Net Vessel Segmentor for Retinal Vasculature Detection in Fundus Images

Monitoring Root and Shoot Characteristics for the Sustainable Growth of Barley Using an IoT-Enabled Hydroponic System and AquaCrop Simulator

An Artificial Intelligence-Based Stacked Ensemble Approach for Prediction of Protein Subcellular Localization in Confocal Microscopy Images

Energy Saving Implementation in Hydraulic Press Using Industrial Internet of Things (IIoT)

Advanced Modulation Scheme of a Dual-Active-Bridge Series Resonant Converter (DABSRC) for Enhanced Performance

Intelligent Reflecting Surfaces Enhanced Mobile Edge Computing: Minimizing the Maximum Computational Time

Tachism: Tri-Port Antenna with Triple Notching Characteristic and High Isolation System for MIMO Application

An Intelligent Model-Based Effective Approach for Glycemic Control in Type-1 Diabetes

Analysis of IoT-Related Ergonomics-Based Healthcare Issues Using Analytic Hierarchy Process Methodology

Collaborators (12)

Zafar Iqbal Khan

Yasir Hamid

Wang-Cheol Song

Shakila Basheer

Tahir Khurshaid

ALI ALWAN

Khalid Mohiuddin

Sungwon Kim

Khuram Naveed

Adeel Iqbal

Haejoon Jung

Yasir Javed

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