About Me

I am an academic researcher and educator specializing in AI-enabled wireless communications, intelligent networked systems, and resource-efficient connectivity for emerging 5G and 6G applications. My work focuses on the development of communication and decision-making frameworks that operate under practical constraints involving reliability, latency, mobility, energy consumption, spectral efficiency, and distributed intelligence.

I currently serve at Yeungnam University in the Republic of Korea, where my research spans vehicular and healthcare IoT, reinforcement learning for wireless resource management, reconfigurable intelligent surfaces, non-terrestrial networks, edge intelligence, federated learning, and intelligent control systems.

My academic career extends over more than fifteen years and includes teaching, research, laboratory development, graduate supervision, peer review, editorial service, and international research collaboration. Before joining Yeungnam University, I held academic positions at COMSATS University Islamabad, where I progressed through the roles of Lab Engineer, Lecturer, and Assistant Professor.

I received my PhD in Electrical Engineering from COMSATS University Islamabad. My doctoral research investigated device-to-device communication mechanisms for 5G networks, with particular emphasis on spectrum utilization, mobility, interference management, and network performance. My earlier graduate research addressed energy-efficient routing in wireless sensor networks.

Research Philosophy

My research is motivated by a simple principle: intelligent communication systems should not only optimize performance under ideal conditions, but should remain reliable, explainable, feasible, and efficient under realistic operating constraints.

This principle shapes my work across wireless communications, Internet of Things systems, reinforcement learning, optimization, and distributed intelligence. I am particularly interested in methods that incorporate reliability, latency, risk, energy, and safety constraints directly into the decision-making process.

My research therefore combines analytical modelling, optimization, stochastic processes, reinforcement learning, federated learning, simulation, and system-level evaluation. The objective is to develop methods that are theoretically sound while remaining relevant to practical communication and cyber-physical systems.

Current Research Directions

My current work is organized around four complementary research directions.

The first direction concerns AI-enabled wireless resource management. This includes reinforcement learning, constrained decision-making, spectrum allocation, mobility management, energy optimization, and intent-aware network control.

The second direction focuses on vehicular and healthcare IoT. This work addresses ultra-reliable and low-latency communication, V2X systems, intelligent transportation, telesurgery, physiological monitoring, automated healthcare systems, and safety-aware control.

The third direction investigates beyond-5G and 6G connectivity, including reconfigurable intelligent surfaces, mmWave and THz communication, aerial networking, satellite systems, and integrated terrestrial and non-terrestrial networks.

The fourth direction examines edge intelligence and federated learning for distributed IoT systems. This includes privacy-preserving learning, secure collaboration, intrusion detection, distributed optimization, and energy-aware computing.

Academic and Professional Service

In addition to research and teaching, I contribute to the academic community through journal reviewing, editorial activities, guest editorship, conference reviewing, and research supervision.

I have reviewed manuscripts for journals published by IEEE, Elsevier, Springer Nature, Wiley, MDPI, TechScience, and other international publishers. I also contribute to editorial and special-issue activities in wireless communications, Internet of Things, artificial intelligence, networking, and intelligent systems.

I am a Higher Education Commission-approved PhD supervisor and a registered professional engineer with the Pakistan Engineering Council.

Teaching and Supervision

My teaching experience covers wireless communications, communication systems, computer networks, digital systems, electronics, signal processing, and engineering laboratories.

I supervise and collaborate with graduate researchers working in wireless communications, artificial intelligence, Internet of Things systems, vehicular networking, healthcare technologies, federated learning, and optimization.

I encourage research that begins with a clearly defined technical problem, uses transparent and reproducible methodology, and produces results that can be interpreted within the broader scientific literature.

Collaboration

I welcome collaboration with academic researchers, universities, laboratories, and industry partners working in wireless communications, intelligent networks, vehicular and healthcare IoT, 5G and 6G systems, non-terrestrial networks, federated learning, and resource optimization.

I am also interested in joint research proposals, graduate co-supervision, international research visits, special issues, workshops, and interdisciplinary projects connecting communication systems with artificial intelligence and cyber-physical applications.