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.
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The dataset and code of our paper entitled “Towards Scalable and Channel-Robust Radio Frequency Fingerprint Identification for LoRa’’ have been made available. Download from: Dataset and code at github.
- PhD Opening: I have a PhD studentship opening in the area of wireless sensing. Please find more information at link. The application deadline is 10 April 2022.
- 23 January 2022: Our paper, “Towards Scalable and Channel-Robust Radio Frequency Fingerprint Identification for LoRa’’ has been accepted by IEEE Transactions on Information Forensics & Security. Congratulations Guanxiong. The dataset and code will be made soon. Please stay tuned.
- 18 January 2022: Our paper, “Colluding RF Fingerprint Impersonation Attack Based on Generative Adversarial Network’’ has been accepted by IEEE ICC. Congratulations Yuxuan.
- 3 December 2021: Our paper, “Fast and Secure Key Generation with Channel Obfuscation in Slowly Varying Environments’’ has been accepted by IEEE INFOCOM. Congratulations Guyue.
- 1 December 2021: Our paper, “Radio Frequency Fingerprint Identification for Security in Low-Cost IoT Devices’’, has been presented at Asilomar 2021. Congratulations Guanxiong. Please visit link for the preprint.
- 16 November 2021: Our paper, “Reconfigurable Intelligent Surface Assisted Secret Key Generation in Quasi-Static Environments’’ has been accepted by IEEE Communications Letters. Congratulations Tianyu.
- 1 September 2021: We are recruiting a two-year postdoc for my EPSRC New Investigator Award Project. Please find detailed information at link. The application deadline is 28 September 2021.
- 28 Aug 2021: Our paper, “Deep Learning-based Physical-Layer Secret Key Generation for FDD Systems’’ has been accepted by IEEE Internet of Things Journal. Congratulations Xinwei.
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- 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, Bluetooth, 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, sensing 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.
- WiFi Key Generation Demonstration using WARP
- WiFi Key Generation Demonstration using Raspberry Pi
- Heartbeat Key Generation Demonstration Using PPG Sensors
- Deep Learning-Powered Radio Frequency Fingerprint Identification for LoRa
- 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