Environmental sensing through millimeter wave radios

Information engineering

Host Department
Department of Information Engineering

Research Topic B

Abstract of the proposed UNIPhD research project

To serve the purpose of human motion tracking and analysis, mm-wave radar data will be taken into account and fine-grained information will be extracted from it by applying deep learning and signal processing techniques. Following the creation of a measuring environment, date preprocessing will aid in the formation of a cropped spectrograph. Point cloud generation and Convolutional Neural Network model will be trained for tracking and analysis of human motion. CNN’s convolution operation using multiple filters will help extract features (a feature map) from the data set. The CNN’s pooling operation will be used to reduce the dimensionality of feature maps from the convolution operation.

Short bio

Zaman Bhalli received his MS degree in Electronic Science and Technology from Xian Jiaotong University, China. He graduated from the University of Central Punjab in Lahore, Pakistan, with a bachelor’s degree in Electrical Engineering. He worked as a design engineer in ICSS engineering, where he developed smart solutions for home automation and surveillance. His primary research interests and skills are Radar and Navigation systems, Terahertz, Deep Learning, Millimeter-wave Radar, Digital Signal Processing, Communications Systems, and microcontrollers.