Anna Li
Ph.D., Marie Curie Fellow
Lecturer (Assistant professor) in Computing and Communications
School of Computing and Communications, Lancaster University,
Lancaster, LA1 4WA, UK
Email: a.li16@lancaster.ac.uk
Ph.D., Marie Curie Fellow
Lecturer (Assistant professor) in Computing and Communications
School of Computing and Communications, Lancaster University,
Lancaster, LA1 4WA, UK
Email: a.li16@lancaster.ac.uk
Openings
I am looking for self-motivated Ph.D. students. Feel free to send me an email with your CV.
Dr. Anna Li is a Lecturer (Assistant Professor) at the School of Computing and Communications at Lancaster University. Her current research interests include human activity detection and recognition, machine learning, signal processing, and Satellite Navigation & Communication.
2019 - 2023: Ph.D. in Electronic Engineering and Computer Science, Queen Mary University of London, London, U.K.
2016 - 2019: M.Sc. degree in Physics, University of Science and Technology of China, Hefei, China
2012 - 2016: B.Sc. degree in Remote Sensing, Nanjing University of Information Science and Technology, Nanjing, China
Sep 2023 - Present: Lecturer (Assistant professor), School of Computing and Communications, Lancaster University, Lancaster, UK
Oct 2019 - Sep 2023: Research Assistant, Department of Electronic Engineering and Computer Science, Supervisor: Prof. Stefan Poslad & Eliane Bodanese, Queen Mary University of London, London, UK
Apr 2021 - Jun 2021: Research Assistant, Department of Computer Science, Supervisor: Prof. Kaishun Wu, Shenzhen University, Shenzhen, China
Journal Publications (* denotes the corresponding author):
[1] A. Li, E. Bodanese, S. Poslad, T. Hou, K. Wu and F. Luo, “An Integrated Sensing and Communication System for Fall Detection and Recognition Using Ultra-Wideband Signals,” IEEE Internet of Things Journal, Early Access, 2023. Doi: 10.1109/JIOT.2023.3290421.
[2] A. Li, E. Bodanese, S. Poslad, P. Chen, J. Wang, and Y. Fan, “Contactless Radar-based Health Monitoring: Vital Signs Monitoring, Human Activity Recognition and Tracking of Multiple people”, Submitted to IEEE Internet of Things Journal, Early Access, 2023.
[3] A. Li, E. Bodanese, S. Poslad, T. Hou, K. Wu and F. Luo, “A Trajectory-based Gesture Recognition in Smart Homes based on the Ultra-Wideband Communication System,” IEEE Internet of Things Journal, vol. 9, no. 22, pp. 22861-22873, Nov. 2022.
[4] T. Hou and A. Li*, “Performance Analysis of NOMA-RIS aided Integrated Navigation and Communication (INAC) Networks”, IEEE Transactions on Vehicular Technology, Early Access, 2023. Doi: 10.1109/TVT.20 23.3277581.
[5] T. Hou, J. Wang, Y. Liu, X. Sun, A. Li*, B. Ai, “A Joint Design for STAR-RIS Enhanced NOMA-CoMP Networks: A Simultaneous-Signal-Enhancement-and-Cancellation-Based (SSECB) Design,” IEEE Transactions on Vehicular Technology, vol. 71, no. 1, pp. 1043-1048, Jan. 2022.
[6] F. Luo, S. Khan, A. Li*, Y. Huang, and K. Wu, “EdgeActNet: Edge Intelligence-enabled Human Activity Recognition using Radar Point Cloud”, IEEE Transactions on Mobile Computing, Early Access, 2023. Doi: 10.1109/TMC.2023.3309938.
[7] S. Liu, J. Li, S. Poslad, Q. Li, A. Li, F. Gu and Z. Huang, “FILNet: Fast Image-based Indoor Localization Using an Anchor Control Network”, Sensors, Early Access, 2023.
[8] J. Li, Z. Song, X. Sun, and A. Li, “An RIS-aided Interference Mitigation based Design for MIMO-NOMA in Cellular Networks”, IEEE Transactions on Green Communications and Networking, Early Access, 2023.
Conference Presentations and Publications:
[9] A. Li, E. Bodanese, S. Poslad, T. Hou, F. Luo, and K. Wu, “Trajectory-based fall detection and recognition using ultra-wideband signals”, in Proc. IEEE Global Communications Conference (GLOBECOM), 2022, pp. 2260–2265.
[10] A. Li, E. Bodanese, F. Luo, T. Hou and K. Wu, “The Ultra-Wideband Communication System: A Human Gesture Recognition Approach”, in Proc. IEEE 23rd Internet Conference on High Performance Computing & Communications (HPCC), 2021, pp. 825-830.
[11] J. Li, Z. Song, T. Hou, X. Sun, A. Li, and E. Bodanese, “An RIS-enhanced signal-cancellation design for multi-cell networks”, in Proc. IEEE Global Communications Conference (GLOBECOM), 2022, pp. 1022-1027.
[12] Q. Zhao, W. Gong, T. Hou, X. Sun, A. Li, and E. Bodanese, “Integrated-Navigation-and-Communication (INAC): A Reconfigurable Intelligent Surface (RIS)-aided Approach”, in Proc. IEEE 97th Vehicular Technology Conference (VTC2023-Spring). Accepted
[13] A. Li, T. Hou, J. Wang, Z. Song and X. Sun, A Cost-effective Medium-Earth-Orbit (MEO) Satellite-Aided Network for Integrated Navigation and Communication, in Proc. IEEE the 23rd International Conference on Communication Technology (IEEE ICCT 2023). Accepted
Instructor
Module: Computer Network, Fall 2023, Lancaster University
Module: Professionalism in Practice, Spring 2024, Lancaster University
Module: Human-Computer Interaction, Spring 2024, Lancaster University
Teaching Assistant
Module: Big Data Processing, Fall 2019, Queen Mary University of London
Academic Activities
IEEE Global Communication Conference 2022 (TPC Member)
IEEE Vehicular Technology Conference 2023 Spring (TPC Member)
IEEE Journal Reviewer: Reviewer in IEEE Internet of Things Journal (IOTJ), IEEE Transactions on Vehicular Technology (TVT), IEEE Transactions on Communications (TCOM)
Funding&Projects
Marie Skłodowska-Curie Individual Fellowship No.101154499, "When Satellite Navigation Meets Satellite Communication in Low-Earth-Orbit Satellite Systems", € 200k, 2024 - 2026 - Principal Investigator. (Top 3% in a 13% success rate field)
Empowering Women in Employment: Bridging the Gender Gap, LU Funding, £ 2k, 2023 - 2024 - Co-Investigator.