Waqas bin Abbas

Also published under:Waqas Bin Abbas

Affiliation

School of Electrical, Electronic and Mechanical Engineering, University of Bristol, Bristol, United Kingdom

Topic

Antenna Array,Channel Matrix,Energy Efficiency,Hybrid Architecture,Increased Power Consumption,Power Consumption,Radio Frequency Chains,Spectral Efficiency,Antenna Selection,Channel Impulse Response,Computational Complexity,Deep Neural Network,Digital Beamforming,Exhaustive Search,Exhaustive Search Algorithm,Machine Learning,Massive Multiple-input Multiple-output,Massive Multiple-input Multiple-output Systems,Number Of Chains,Particle Swarm Optimization,Precoder Design,Precoding Scheme,Signal-to-noise,Successive Interference Cancellation,Support Vector Machine,Transmitter Antenna,Ultra-wideband,Analog Beamforming,Array Response Vector,Artificial Intelligence Algorithms,Base Station,Bayesian Optimization,Beamforming Techniques,Boosted Decision Tree,Classification Accuracy,Co-channel Interference,Convolutional Layers,Convolutional Neural Network,Correct Detection,Correct Performance,Cyclic Shift,Data Collection Process,Data Streams,Decision Tree,Deep Learning,Deep Reinforcement Learning,Dense Layer,Digital Architecture,Efficient System,Energy Storage Devices,

Biography

Waqas Bin Abbas received the bachelor’s and the master’s degrees from the National University of Computer and Emerging Sciences, Islamabad, Pakistan, in 2008 and 2012, respectively, and the Ph.D. in information engineering from the University of Padova, Padua, Italy, in 2017.
He has been a Postdoctoral Research Fellow with the University of Huddersfield, Huddersfield, U.K., from February 2022 to December 2022. He is currently working as a Lecturer with the Department of Electrical and Electronic Engineering, University of Bristol, Bristol, U.K. During master’s degree, his research was focused in underwater wireless communication, while during Ph.D. degree, his research was mostly focused on energy efficiency in wireless networks. His current research interests include energy efficiency in 5G and beyond cellular networks, AI, MIMO communication, and multihop wireless networks.