Dr. Ir. Muhammad Nasir Khan
Dr. ir. Muhammad Nasir Khan received his Ph.D. in Electrical Engineering from the Institute for Telecommunication Research affiliated with the University of South Australia, Australia, in December 2013 and his MSc degree in electrical engineering from the Technical University of Delft, Netherlands in 2009 and one from University of Engineering and Technology, Lahore, Pakistan in 2007 and Bachelor degree in electronic engineering from DUET in 2002. Currently, working as a Professor in the electrical engineering department at GC University Lahore, Pakistan.
Over the last five years, he has published many research articles in journals, conferences and books. His research articles have been published in high-quality journals and publishers, i.e., IEEE, Elsevier, Science Direct and Springer.
Dr. Khan engages with professional organizations, including IEEE, PEC and IEEEP. He also has experience in organizing an international IEEE conference. Skilled in Analytical Skills, Machine Learning, Artificial Intelligence, Management, LaTeX, and Digital Signal Processing.
Faculty Development Seminars
01.01.2018 to onwards
UPCOMING EVENTS
MY LATEST RESEARCH
Hybrid Communication Systems
Spectrum of radio frequency (RF) communications is limited and expensive to install new applications. Free space optical (FSO) communication is a viable technology which offers enormous bandwidth, license free installation, inexpensive deployment and error prone links. The FSO links degrade significantly due to the varying atmospheric and weather conditions (fog, cloud, snow, haze and combination of these). We are moving towards hybrid FSO/RF communication system which adapts the varying nature of atmosphere and weather. For the adaption of varying atmosphere and weather scenarios, we are developing a novel optimisation algorithm. We are working on: Adaptive Transmission techniques, Channel Codes, and Multi-user environment.
Wireless Sensor Networks/Wireless Multimedia Transmission
Wireless Sensor Networks (WSNs) are proving themselves as vital part of technology advancements. A WSN comprises of multiple sensor nodes and a base station as a sink node (i.e., for data communication). Sensor nodes are battery powered and placed over remote locations to analyse data. Therefore, the usage of battery affects the whole network lifetime. Communication methods between nodes and base station are based on various protocols. Lifetime and throughput are crucial parameters of a network. The critical parameters of WSN are the main interest of our project.