Qiang Hua

Qiang Hua is a Lecturer in Electrical and Electronic Engineering at the Department of Engineering, School of Computing and Engineering, University of Huddersfield. Their research focuses on antennas, artificial intelligence, sensors, filters, new materials, waveguides, and AI-driven optimization methods for 5G communications.

• PhD in Advanced Antenna Designs for 5G Communications (University of Liverpool, 2018-2021)
• Master in Digital Signal Processing (University of Manchester, 2016-2017)
• Bachelor in Telecommunication Engineering (University of Liverpool, 2012-2014)
• Bachelor in Telecommunication Engineering (Xi'an Jiaotong-Liverpool University, 2012-2014)

Recent research activity includes work on antenna design optimization using Bayesian neural networks, dual-band polarized antennas for 5G, ultra-wideband monopole antennas, and quadruple-band systems for multi-generation networks. Publications span IEEE Transactions on Antennas and Propagation, IEEE Access, and IEEE Transactions on Electromagnetic Compatibility.

Qiang Hua is a member of the Institute of Electrical and Electronics Engineers (IEEE) and serves as a reviewer for IEEE Antennas and Wireless Propagation Letters. They are currently accepting PhD students.