Yanqiu Huang

Yanqiu Huang is an Assistant Professor in Pervasive Systems, focusing on interdisciplinary research in Internet of Things (IoT), cyber-physical systems, embedded systems, wireless communication, and optimization. Their work addresses resource-constrained networks, emphasizing energy efficiency and collaborative algorithms for IoT devices.

Research Interests

• Design of energy-efficient algorithms for IoT networks
• Integration of wireless communication and control systems
• Edge AI and sensor technologies for intelligent transport

Recent Publications

Key contributions include advancements in Bluetooth Low Energy (BLE) discovery, DNN task allocation for edge computing, and cyclist behavior prediction via IMU data. Research spans environmental monitoring, industrial ventilation, and smart mobility solutions like connected bicycles.

Scientific Awards

• Best Poster Award: DNN Task Allocation for Edge-Aided IoT (2023)
• Best Poster Award: Smart Connected Bikes (2023)
• Best Presentation Award (2025)

Activities

Active in organizing and participating in international conferences (PerVehicle 2024/2025), hosting academic visitors (Koojana Kuladinithi, Konrad Fuger), and delivering invited talks on privacy-preserving crowdsensing.