Rate My Professor Yan Li

Dr. Li's research specializations encompass Internet of Things, inertial navigation, mobile computing, wireless sensor networks, indoor localisation and tracking, wearable sensors, telecommunication systems, situation awareness in smart home solutions, mobility monitoring in healthcare, and machine learning applications in sensor data analytics. Her publications appear in leading venues including IEEE Internet of Things Journal, IEEE Transactions on Vehicular Technology, IEEE Sensors Journal, and IEEE Access. Key works include "Urban vehicle localization in public LoRaWan network" (IEEE Internet of Things Journal, 2022), "DeepVIP: deep learning-based vehicle indoor positioning using smartphones" (IEEE Transactions on Vehicular Technology, 2022), "Exploiting environmental information using HsMMs for smartphone user tracking" (IEEE Sensors Journal, 2023), "Smartphone user tracking by incorporating user orientation using a double-layer HMM" (IEEE Transactions on Vehicular Technology, 2022), and "A case study of WiFi sniffing performance evaluation" (IEEE Access, 2020). Dr. Li has earned the Michael Richey Medal for best journal paper from the Royal Institute of Navigation, UK; Defence Innovation Network Pilot Project Grant 2022-23; Faculty of Science and Engineering Award for Inter-School Collaboration 2023; and a grant from the NSW Smart Sensing Network Grand Challenge Fund. She is affiliated with the Future Communications Research Centre, Smart Green Cities Research Centre, and Advanced Drone Systems Research Centre at Macquarie University, and is available to supervise PhD and Masters by Research students in wireless sensor networks, IoT, mobile computing, localisation and tracking, and machine learning-based sensor data analytics.