Institute of Communications and Connected Systems


Tongyang Xu

Profile picture of Tongyan Xu

Research Fellow

E: tongyang.xu.11@ucl.ac.uk
T: +44(0)20 7679 2000 (int. N/A)

Research group
Information and Communication Engineering

Waveform design | 5G/6G | Artificial Intelligence | MIMO | Real-Time System Prototyping



Tongyang Xu received a B.Eng. degree in Electronic Information Engineering from Xidian University, Xi’an, China, in 2011, a M.Sc. degree (Distinction) in Telecommunications, and a Ph.D. degree (Lombardi Prize Runner-Up) in Electronic and Electrical Engineering from University College London (UCL), London, U.K., in 2012 and 2017, respectively.  

He is currently a Research Fellow with the Information and Communications Engineering Group, Department of Electronic and Electrical Engineering, UCL. He is the manager of UCL-Aeroflex Wireless Lab. He has authored and co-authored more than 50 papers in the areas of wireless and optical communications. He contributed two books on Signal Processing for 5G: Algorithms and Implementations (Wiley, 2016) and Key Enabling Technologies for 5G Mobile Communications (Springer, 2016). 

His research interests include signal waveform design, 5G/6G wireless and optical communications, artificial intelligence, neural network optimization, Internet of Things, big data, secure communications, software defined radio, FPGA, real-time testbed prototyping, MIMO beamforming and transmission, antenna design and prototyping. He is currently working with Rinicom for secure communication product development. He is also working on an EPSRC project for practical machine learning implementation.   

Dr. Xu was a recipient of the UCL Faculty of Engineering Sciences Scholarship (Dean’s Prize) in 2013. He was the nominated investigator of two successful EPSRC Impact Acceleration Discovery to Use Awards at UCL in 2016 and 2018 and was a co-recipient of Smart Agriculture Entrepreneurship Grant at Rothamsted Research in 2017, the Chinese Government Award for Outstanding Self-Financed Students Abroad in 2017, the Lombardi Prize runner-up for the best PhD thesis in 2018 and the National Instruments Academic Research Grant Award in 2018. 

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