R&D | Dr. Muhammad Nauman Irshad

Research Vision

My research aims to develop mathematically rigorous, computationally efficient, and practically applicable solutions for complex engineering systems. By combining mathematical modeling, optimization theory, approximation methods, and intelligent algorithm design, I seek to address fundamental challenges in communication networks, wireless systems, signal processing, and emerging cyber-physical infrastructures.

My work is inherently interdisciplinary, integrating artificial intelligence, machine learning, and advanced optimization techniques to improve the scalability, reliability, security, and performance of next-generation communication and networking technologies. Through this approach, I strive to bridge theoretical research with practical engineering applications that contribute to both academia and industry.

Research Themes

Mathematical Modeling & Optimization
Developing mathematical models, optimization frameworks, approximation techniques, and computationally efficient algorithms for solving large-scale engineering and scientific problems.
Intelligent Communication Systems
Research on wireless and mobile communications, Massive MIMO, signal processing, resource allocation, and next-generation 5G/6G communication technologies.
Computer Networks & Intelligent Routing
Designing scalable algorithms for computer networks, software-defined networking (SDN), Internet of Things (IoT), vehicular communications, UAV-assisted systems, network routing, and intelligent traffic engineering.
Artificial Intelligence for Engineering Systems
Applying artificial intelligence and machine learning to communication systems, cybersecurity, industrial control systems, network optimization, and intelligent decision-making.

Research Profiles

Projects

Projects coming soon

List of Publications

Journal Publications(13)

2025

A Novel Quasi Accelerated Over-Relaxation Method for Efficient Signal Detection

Muhammad Nauman Irshad, Muhammad Muzamil Aslam, Muhammad Akhtar, and Rardchawadee Silapunt

IEEE Communications Letters

Research Vision

Research Themes

Mathematical Modeling & Optimization

Intelligent Communication Systems

Computer Networks & Intelligent Routing

Artificial Intelligence for Engineering Systems

Research Profiles

Projects

List of Publications

Journal Publications(13)

A Novel Quasi Accelerated Over-Relaxation Method for Efficient Signal Detection

Artificial Intelligence for Secure and Sustainable Industrial Control Systems - a Survey of Challenges and Solutions

Extended Accelerated Over‐relaxation Algorithm for Low Complexity Massive MIMO Signal Detection

Low Complexity Optimized Aor Method for Massive MIMO Signal Detection

Survey of Deep Learning Approaches for Securing Industrial Control Systems: A Comparative Analysis

Enhanced Real-Time Facial Expression Recognition Using Deep Learning

Low-Complexity Saor and Conjugate Gradient Accelerated Saor Based Signal Detectors for Massive MIMO Systems

Optimized Accelerated Over-Relaxation Method for Robust Signal Detection: A Metaheuristic Approach

Pneumonia Detection Technique Empowered with Transfer Learning Approach

Unlocking Minds: An Adaptive Machine Learning Approach for Early Detection of Depression

A Deep Learning-Based Power Control and Consensus Performance of Spectrum Sharing in the Cr Network

Cost Effective & Energy Efficient Intelligent Smart Home System Based on IoT

A Low-Complexity Data Detection Algorithm for Massive MIMO Systems

Conference Publications(3)

Ihgwo-Based Optimization of IoT Wireless Sensor Networks

A Hybrid Solution of SDN Architecture for 5G Mobile Communication to Improve Data Rate Transmission

Manipulation of Pakistani Women Through Skin-Whitening Advertising Discourse

Book Chapters(1)

Cyber Security Concerns of IoT for Real-Time Applications: A Review