dr.ing. Y. Huang (Yanqiu)

Assistant Professor

About Me

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 communication, control, signal processing and network optimization, especially for resource constrained networks and systems.



Engineering & Materials Science
Internet Of Things
Kalman Filters
Linear Programming
Mathematical Transformations
Wireless Sensor Networks
Transfer Learning
Wavelet Packet Transform


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.


Yu, X., Liang, Z., Wang, Y., Yin, H., Liu, X., Yu, W. , & Huang, Y. (2022). A wavelet packet transform-based deep feature transfer learning method for bearing fault diagnosis under different working conditions. Measurement : interdisciplinary research and perspectives (USA), 201, [111597]. https://doi.org/10.1016/j.measurement.2022.111597
Yu, W., Najafi, A. , Huang, Y., & Garcia-Ortiz, A. (2021). Combination of Task Allocation and Approximate Computing for Fog-Architecture-Based IoT. IEEE Internet of Things Journal, 8(9), 7638-7648. [9272608]. https://doi.org/10.1109/JIOT.2020.3040892
Sun, J. , Huang, Y., Yu, W., & Garcia-Ortiz, A. (2021). Nonlinear System Identification: Prediction Error Method vs Neural Network. In 2021 10th International Conference on Modern Circuits and Systems Technologies (MOCAST) IEEE. https://doi.org/10.1109/MOCAST52088.2021.9493336
Yu, W., Akinlolu, O., Sander, Y. , Huang, Y., & Garcia-Ortiz, A. (2020). SATA: An intelligent security aware task allocation for multihop wireless networks. In 2020 9th International Conference on Modern Circuits and Systems Technologies, MOCAST 2020 [9200239] IEEE. https://doi.org/10.1109/MOCAST49295.2020.9200239
Yuan, L., Yu, X., Ding, E., Zhao, X., Feng, S., Zhang, D., Liu, T., Wang, W. , & Huang, Y. (2020). Research on key technologies of human-machine-environment states perception in mine Internet of things. Tongxin Xuebao/Journal on Communications, 41(2), 1-12. https://doi.org/10.11959/j.issn.1000-436x.2020036
Yu, W., Najafi, A., Nevarez, Y. , Huang, Y., & Garcia-Ortiz, A. (2020). TAAC: Task Allocation Meets Approximate Computing for Internet of Things. In 2020 IEEE International Symposium on Circuits and Systems (ISCAS) [9180895] (IEEE International Symposium on Circuits and Systems (ISCAS); Vol. 2020). IEEE. https://doi.org/10.1109/ISCAS45731.2020.9180895
Yu, W. , Huang, Y., & Garcia-Ortiz, A. (2019). Energy-Aware Task Allocation in WSNs. In H. M. Ammari (Ed.), Mission-Oriented Sensor Networks and Systems: Art and Science. Volume 1: Foundations (pp. 193-226). (Studies in Systems, Decision and Control; Vol. 163). https://doi.org/10.1007/978-3-319-91146-5_6
Huang, Y., Yu, W., Ding, E., & Garcia-Ortiz, A. (2019). EPKF: Energy Efficient Communication Schemes Based on Kalman Filter for IoT. IEEE Internet of Things Journal, 6(4), 6201 - 6211. https://doi.org/10.1109/JIOT.2019.2900853

UT Research Information System


Research Project - 201500120

Courses Academic Year  2022/2023

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  2021/2022

Contact Details

Visiting Address

University of Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Zilverling (building no. 11), room 5015
Hallenweg 19
7522NH  Enschede
The Netherlands

Navigate to location

Mailing Address

University of Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Zilverling  5015
P.O. Box 217
7500 AE Enschede
The Netherlands