Zilverling

dr.ing. Y. Huang (Yanqiu)

Assistant Professor
EEMCS-CS-PS
Zilverling 5016
yanqiu.huang@utwente.nl
+31534895311
Business card

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.

Expertise

  • Computer Science

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

Organisations

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.

Publications

2024

E-Go Bicycle Intelligent Speed Adaptation System for Catching the Green Light (2024)In Mobile and Ubiquitous Systems: Computing, Networking and Services - 20th EAI International Conference, MobiQuitous 2023, Melbourne, VIC, Australia, November 14-17, 2023. Proceedings, Part I (pp. 201-220) (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST; Vol. 593). Springer (E-pub ahead of print/First online). Ben Fredj, K., Pallamreddy, A. R., Heijenk, G., Havinga, P. & Huang, Y.https://doi.org/10.1007/978-3-031-63989-0_10Predicting Turn Maneuvers of Cyclists Using Bicycle-Mounted IMU with CNN-LSTM (2024)In 2024 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops) (pp. 587-592). Article 10502681. IEEE. Smit, G. d., Yeleshetty, D., Havinga, P. J. M. & Huang, Y.https://doi.org/10.1109/PerComWorkshops59983.2024.10502681

2023

(POSTER)DNN Task Allocation for Edge-Aided IoT (2023)[Contribution to conference › Poster] 19th International Conference on Distributed Computing in Smart Systems and the Internet of Things, DCOSS-IoT 2023. Yu, W., Huang, Y., Najafi, A., Sun, J., Nevarez, Y. & Garcia-Ortiz, A.https://doi.org/10.1109/DCOSS-IoT58021.2023.00027Firefly: Localizing Drones with Visible Light Communication and Sensor Fusion (2023)In Proceedings: 19th International Conference on Distributed Computing in Smart Systems and the Internet of Things, DCOSS-IoT 2023 (pp. 217-221) (Proceedings - 19th International Conference on Distributed Computing in Smart Systems and the Internet of Things, DCOSS-IoT 2023). 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 Security (2023)In Proceedings: 19th International Conference on Distributed Computing in Smart Systems and the Internet of Things, DCOSS-IoT 2023 (pp. 134-141) (Proceedings - 19th International Conference on Distributed Computing in Smart Systems and the Internet of Things, DCOSS-IoT 2023). IEEE. Yu, W., Huang, Y., Yang, Y. & Garcia-Ortiz, A.https://doi.org/10.1109/DCOSS-IoT58021.2023.00033QoS Aware Slice Resource Management Using Deep Reinforcement Learning in IoT Networks (2023)In QoS Aware Slice Resource Management Using Deep Reinforcement Learning in IoT Networks (pp. 150-154) ( 2023 19th International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT)). Zia, K., Chiumento, A., Havinga, P. J. M., Riggio, R. & Huang, Y.https://doi.org/10.1109/DCOSS-IoT58021.2023.00035DiNS: Nature Disaster in Network Simulations (2023)In 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 (2023)[Contribution to conference › Paper] 20th EAI International Conference on Mobile and Ubiquitous Systems, MobiQuitous 2023. Ben Fredj, K., Pallamreddy, A. R., Heijenk, G., Havinga, P. J. M. & Huang, Y.

2022

A wavelet packet transform-based deep feature transfer learning method for bearing fault diagnosis under different working conditions (2022)Measurement, 201. Article 111597. Yu, X., Liang, Z., Wang, Y., Yin, H., Liu, X., Yu, W. & Huang, Y.https://doi.org/10.1016/j.measurement.2022.111597A novel approximation scheme for floating-point square root and inverse square root for FPGAs (2022)In 2022 11th International Conference on Modern Circuits and Systems Technologies, MOCAST 2022. IEEE. Pennestri, P., Huang, Y. & Alachiotis, N.https://doi.org/10.1109/MOCAST54814.2022.9837550

Research profiles

  • 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.

Address

University of Twente

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

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