Dr. Ir. Muhammad Nasir Khan
I received B.E. degree in Electronic Engineering from Dawood University of Engineering and Technology, Pakistan and M.Sc. degree in Electrical Engineering from Delft University of Technology, Delft, The Netherlands (and MSc from UET Lahore) and PhD degree in Electrical Engineering from the Institute for Telecommunications Research (ITR), University of South Australia, Australia. My first job was in Pakistan Telecommunication Industries (PCI) Pty. Ltd. as Assistant Manager, specialising in telecommunication. Then I went abroad for post-graduation and doctoral studies. Currently, I am Professor in Electrical Engineering Department, The University of Lahore, Pakistan. My research interests include communication theory, adaptive modulation and iterative decoding, free space optical communications, machine and deep learning, and wireless sensor networks.
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.