Junqing Zhang is a Lecturer (Assistant Professor) at the Department of Electrical Engineering and Electronics, the University of Liverpool, UK. His work mainly involves designing innovative and practical physical layer security solutions for future wireless technologies with ultra-low energy requirements but high security standards. He has been investigating wireless security solutions for a number of Internet of Things techniques, including IEEE 802.11a/g/ax, LoRa/LoRaWAN, ZigBee, etc, with a focus on the physical and MAC layers.
He was a Postdoc Research Fellow at Queen’s University Belfast, UK from Feb. 2016 to Jan. 2018. He received the PhD degree in Electronics and Electrical Engineering from Queen’s University Belfast, UK in Jan. 2016. His detailed education background and work experience can be found in Education and Work
Please find more information from his
- 14 September, 2020, Our paper “Sum Secret Key Rate Maximization for TDD Multi-User Massive MIMO Wireless Networks” has been accepted by IEEE Transactions on Information Forensics and Security. This paper is a collaboration with Dr. Guyue Li @ Southeast University.
- 7 August, 2020: A preprint on key generation survey paper, “Key Generation for Internet of Things: A Contemporary Survey”, has been available in arxiv. Please check it here. This paper reviews key generation from wireless channel, audio signals, motions, heartbeats, etc.
- 29 July, 2020: Our recent key generation survey paper, “A New Frontier for IoT Security Emerging From Three Decades of Key Generation Relying on Wireless Channels”, has been accepted by IEEE Access. Please check it here
- 19 July, 2020: Please check our latest Heartbeat Key Generation Demonstration Using PPG Sensors
- 23 June, 2020, Our paper “Encrypting Wireless Communications On the Fly Using One-Time Pad and Key Generation” has been accepted by IEEE Internet of Things Journal, link
- Internet of Things
- Wireless security
- Physical layer security
- Key generation
- Device authentication
- Radio frequency fingerprint identification
- Device free wireless sensing
- Wireless communication techniques, such as OFDM, spread spectrum, etc
- Wireless communication protocols, such as IEEE 802.11, ZigBee, LoRa/LoRaWAN, etc, in particular physical and MAC layers
- Wireless channel modelling
- Software defined radios including USRP, Zedboard + FMCOMMS2, and WARP
- Machine learning and deep learning applications in the wireless communications and security
We are always keen to apply our knowledge to practical applications. Hence we have created several demonstration videos to present our applied research.
- Key Generation Demonstration using WARP
- Heartbeat Key Generation Demonstration Using PPG Sensors
- LoRaWAN Demonstration using Pycom FiPy
Email: junqing.zhang at liverpool.ac.uk
Web: https://www.liverpool.ac.uk/electrical-engineering-and-electronics/staff/junqing-zhang/ Tel: 0151 79 57790
Department of Electrical Engineering and Electronics
University of Liverpool
Liverpool L69 3GJ