Institute of Cyberspace Technology | Academic Staff

Dr. LI SongSheng 

PhD (University of Technology Sydney)
Lecturer 

Teaching Area: IoT, Cybersecurity, Information Technology
Biography

Dr Songsheng LI earned his BSc degree from Beijing University of Posts and Telecommunications, his MSc degree from Xi’an Jiaotong University in China, and his PhD from the University of Technology Sydney. His research interests encompass Wireless Sensor Networks, the Internet of Things (IoT), Unmanned Aerial Vehicles (UAVs), Smart Homes, and Smart Cities. He is also a dedicated reviewer for leading journals such as IEEE Internet of Things Journal, IEEE Access, International Journal of Remote SensingThe Journal of Supercomputing and Sensors. 

Research Areas

IoT, Wireless Sensor Networks (WSN)Unmanned Aerial Vehicles (UAV), AI 

Selected Publications
Journal Articles

Li, S. (2023). Fall detection with wrist-worn watch by observations in statistics of acceleration. IEEE Access, 11, 19567-19578. 

Li, S., & Chiu, C. (2021). Improved smart pillow for remote health care system. Journal of Sensor and Actuator Networks, 10(1), 9. 

Li, S., & Chiu, C. (2018). A smart pillow for health sensing system based on temperature and humidity sensors. Sensors, 18(11), 3664. 

Li, S. (2018). Wildfire early warning system based on wireless sensors and unmanned aerial vehicle. Journal of Unmanned Vehicle Systems, 7(1), 76-91. 

Li, S., Kong, X., & Sandrasegaran, K. (2014). Dynamic path of mobile beacon in localisation of wireless sensor network. International Journal of Sensor Networks, 15(2), 130-141. 

Conference Papers

Li, S. (2024, December). Fall Detection by 1D-CNN Based on Public Dataset Using a Wrist-Worn Smartwatch. In 2024 3rd International Conference on Automation, Robotics and Computer Engineering (ICARCE) (pp. 239-243). IEEE. 

Li, S. (2023, August). IoT healthcare system based on ESP32 for smart home. In 2023 IEEE International Conference on Mechatronics and Automation (ICMA) (pp. 1768-1772). IEEE. 

Li, S. (2022, June). Ways to detect ambient parameters by UAV. In 2022 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA) (pp. 450-454). IEEE. 

Li, S. (2019, August). Prediction of body temperature from smart pillow by machine learning. In 2019 IEEE International Conference on Mechatronics and Automation (ICMA) (pp. 421-426). IEEE. 

Li, S., Kong, X., & Sandrasegaran, K. (2014). Dynamic path of mobile beacon in localisation of wireless sensor network. International Journal of Sensor Networks, 15(2), 130-141. 

Books

Li, S. (2022). The application of smart pillows in nursing homes during times of the pandemic (pp.6), Computational Social Science.

Honours and Awards

Invention Patent:  
Automatic forest patrolling system and method based on unmanned aerial vehicle

Utility Model Patents:  
Smart pillow
Smart pillowcase