About Me

Junqing Zhang is a Tenure Track Fellow (Assistant Professor) at the Department of Electrical Engineering and Electronics, the University of Liverpool, UK from Feb. 2018. 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 citation profile in Google Scholar, publication list in dblp. and his Publons profile.

News

  • Newton International Fellowships: The Newton International Fellowships is open for application now. The submission deadline is 3pm on Thursday 26 March 2020. The application guideline can be found here. Please email me with your CV if you are interested in applying this Fellowship.
  • PhD Opening: I have an opening in the area of Safeguarding Autonomous Systems, Key Generation for Mobile Ad Hoc Networks. Please find more information at link The application deadline is 31 January, 2020.
  • Call for paper: Special Issue on “Security Threats to Artificial Intelligence-Driven Wireless Communication Systems” on Security and Communications Networks, link
  • The first Annual General Meeting of the UK-Jiangsu 20+20 World-Class University Consortium was held. link
  • My Royal Society Research Grants application is successful. This project will employ deep learning to classify LoRa devices based on their unique radio frequency fingerprinting.

Research Area

  • Internet of Things
  • Wireless security
  • Physical layer security
  • Key generation
  • Device authentication
  • Radio frequency fingerprint identification
  • Device free wireless sensing

Research Expertise

  • 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

Demonstration

Contact

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
Brownlow Hill
Liverpool L69 3GJ
United Kingdom