Ali A. S. Alabdullah

Also published under:Ali A. AlAbdullah, A. Alabdullah, Ali Alabdullah

Affiliation

Department of Biomedical and Electronics Engineering, Antenna, Applied Computational Electromagnetics and Radio Frequency Research, University of Bradford, Bradford, U.K.

Topic

Antenna Array,Impedance Bandwidth,Radiation Pattern,Received Signal Strength,3D Arrangement,Action Orientation,Action Recognition,Angular Size,Annular Ring,Antenna Characteristics,Antenna Radiation Pattern,Antenna System,Artificial Neural Network,Attenuation Effect,Average Position,Average Results,Average Window,Beam Direction,Beampattern,Channel Capacity,Circular Antenna,Circular Disk,Circular Path,Clinical Management Decisions,Coaxial Probe,Collection Points,Convolutional Neural Network,Current Distribution,Deep Learning,Degree Of Activity,Design Results,Dielectric Constant,Digital Environment,Diode Switches,Entire Band,Entire Dataset,Envelope Correlation Coefficient,Equal Spacing,Estimation Of Strength,Hidden Markov Model,Human Activities,Human Activity Recognition,Identification Tags,Indoor Environments,Larger Space,Local Mean,Long Short-term Memory,Long Short-term Memory Architecture,Long Short-term Memory Cell,Long Short-term Memory Model,

Biography

Ali A. S. Alabdullah received the B.S. and M.S. degrees in electrical and electronic engineering from the University of Technology, Baghdad, Iraq, in 1994 and 1999, respectively. He is currently pursuing the Ph.D. degree in electrical engineering with the University of Bradford, Bradford, U.K.
He was an Instructor and an Assistant Lecturer with the University of Technology from 1994 to 2003. From 2006 to 2014, he was an Assistant Lecturer with the Department of Communication Engineering, College of Electronics, University of Ninavah, Mosul, Iraq. His research interests include emerging technologies for 5G wireless/mobile communication system, including adaptive beamforming algorithms for wireless networks, multiuser massive MIMO, energy-efficient transceiver, new modulation and waveform schemes, heterogeneous network, and mmWave channel models.