Yanqiu Huang is an assistant professor in the Pervasive Systems Group at the University of Twente since Feb. 2020. She obtained her PhD at University of Bremen in 2017. Before her graduation, she received the young talent award from Uni-Bremen for her postdoctoral research with her independent project and teaching load.

She has both applicable and fundamental research experiences in IoT. Her particular interest is the interaction between in-network processing, wireless communication, control, and network optimization, especially for resource constrained networks and systems.


  • Computer Science

    • Algorithms
    • Wireless Sensor Network
    • Internet of Things
    • Application
    • Network Lifetime
    • Aware Task Allocation
    • Energy Efficiency
    • Simulation


My research interests include Internet of Things (IoT), cyber-physical system, embedded system, wireless communication, optimization and computational intelligence. I am especially interested in the resource constrained networks, where the devices have limited energy, memory resources, computation and communication abilities. These constraints bring many new research challenges. One of my research topics is to design efficient algorithms for reducing the energy cost and increasing the collaboration of the IoT end devices using the interdisciplinary knowledge between communication, control, signal processing and network optimization.


Predicting Turn Maneuvers of Cyclists Using Bicycle-Mounted IMU with CNN-LSTMIn 2024 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops), Article 10502681 (pp. 587-592). IEEE. Smit, G. d., Yeleshetty, D., Havinga, P. J. M. & Huang, Y.https://doi.org/10.1109/PerComWorkshops59983.2024.10502681
QoS Aware Slice Resource Management Using Deep Reinforcement Learning in IoT NetworksIn QoS Aware Slice Resource Management Using Deep Reinforcement Learning in IoT Networks (pp. 150-154). Zia, K., Chiumento, A., Havinga, P. J. M., Riggio, R. & Huang, Y.https://doi.org/10.1109/DCOSS-IoT58021.2023.00035Firefly: Localizing Drones with Visible Light Communication and Sensor FusionIn Proceedings: 19th International Conference on Distributed Computing in Smart Systems and the Internet of Things, DCOSS-IoT 2023 (pp. 217-221). IEEE. Hernandez, R. A., Xu, T., Huang, Y. & Zúñiga Zamalloa, M. A.https://doi.org/10.1109/DCOSS-IoT58021.2023.00045Hybrid Genetic Algorithm Combining Simulated Annealing for Task Allocation with Data SecurityIn Proceedings: 19th International Conference on Distributed Computing in Smart Systems and the Internet of Things, DCOSS-IoT 2023 (pp. 134-141). IEEE. Yu, W., Huang, Y., Yang, Y. & Garcia-Ortiz, A.https://doi.org/10.1109/DCOSS-IoT58021.2023.00033(POSTER)DNN Task Allocation for Edge-Aided IoT, 92-94. Yu, W., Huang, Y., Najafi, A., Sun, J., Nevarez, Y. & Garcia-Ortiz, A.https://doi.org/10.1109/DCOSS-IoT58021.2023.00027DiNS: Nature Disaster in Network SimulationsIn 2022 18th International Conference on Mobility, Sensing and Networking (MSN) (pp. 586-593). IEEE. Hemadasa, N., Yu, W., Huang, Y., Sarmiento, L., Wickramasinghe, A. & Garcia-Ortiz, A.https://doi.org/10.1109/MSN57253.2022.00098E-Go Bicycle Intelligent Speed Adaptation System for Catching the Green Light. Ben Fredj, K., Pallamreddy, A. R., Heijenk, G., Havinga, P. J. M. & Huang, Y.
Nonlinear System Identification: Prediction Error Method vs Neural NetworkIn 2021 10th International Conference on Modern Circuits and Systems Technologies (MOCAST). IEEE. Sun, J., Huang, Y., Yu, W. & Garcia-Ortiz, A.https://doi.org/10.1109/MOCAST52088.2021.9493336

Research profiles

Research Project - 201500120

Courses academic year 2023/2024

Courses in the current academic year are added at the moment they are finalised in the Osiris system. Therefore it is possible that the list is not yet complete for the whole academic year.

Courses academic year 2022/2023

  • I am the daily supervisor of 3 PhD students on smart connected bikes project (Smart Connected Bikes) to improve cycling safety and make cycling more comfortable with technologies. They are working on embedded intelligence (Akhil Pallamreddy), bike to everything communication (Khalil Ben Fredj), and secure data sharing (Deepak Yeleshetty), respectively. 
  • I am the daily supervisor of a PhD student (Qinyu Xian) on vision-based structural (bridge) health monitoring with drones.


University of Twente

Zilverling (building no. 11), room 5016
Hallenweg 19
7522 NH Enschede

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