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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 in-network processing, wireless communication, control, and network optimization, especially for resource constrained networks and systems.



 

Expertise

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

Organisations

Research

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

Recent
Ben Fredj, K., Pallamreddy, A. R. , Heijenk, G. , Havinga, P. J. M. , & Huang, Y. (2023). E-Go Bicycle Intelligent Speed Adaptation System for Catching the Green Light. Paper presented at 20th EAI International Conference on Mobile and Ubiquitous Systems, EAI MobiQuitous 2023, Melbourne, Victoria, Australia.
Yu, W. , Huang, Y., Yang, Y., & Garcia-Ortiz, A. (2023). Hybrid Genetic Algorithm Combining Simulated Annealing for Task Allocation with Data Security. 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. https://doi.org/10.1109/DCOSS-IoT58021.2023.00033
Hernandez, R. A., Xu, T. , Huang, Y., & Zúñiga Zamalloa, M. A. (2023). Firefly: Localizing Drones with Visible Light Communication and Sensor Fusion. 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. https://doi.org/10.1109/DCOSS-IoT58021.2023.00045
Yu, W. , Huang, Y., Najafi, A., Sun, J., Nevarez, Y., & Garcia-Ortiz, A. (2023). (POSTER)DNN Task Allocation for Edge-Aided IoT. 92-94. Poster session presented at 19th International Conference on Distributed Computing in Smart Systems and the Internet of Things, DCOSS-IoT 2023, Paphos, Cyprus. https://doi.org/10.1109/DCOSS-IoT58021.2023.00027
Zia, K. , Chiumento, A. , Havinga, P. J. M., Riggio, R. , & Huang, Y. (2023). QoS Aware Slice Resource Management Using Deep Reinforcement Learning in IoT Networks. 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)). https://doi.org/10.1109/DCOSS-IoT58021.2023.00035
Hemadasa, N., Yu, W. , Huang, Y., Sarmiento, L., Wickramasinghe, A., & Garcia-Ortiz, A. (2023). DiNS: Nature Disaster in Network Simulations. In 2022 18th International Conference on Mobility, Sensing and Networking (MSN) (pp. 586-593). IEEE. https://doi.org/10.1109/MSN57253.2022.00098
Pennestri, P. , Huang, Y. , & Alachiotis, N. (2022). A novel approximation scheme for floating-point square root and inverse square root for FPGAs. In 2022 11th International Conference on Modern Circuits and Systems Technologies, MOCAST 2022 IEEE. https://doi.org/10.1109/MOCAST54814.2022.9837550
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. Article 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

UT Research Information System

See all research output of this employee

Projects

  • 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.

Contact Details

 
 

Visiting Address

University of Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Zilverling (building no. 11), room 5016
Hallenweg 19
7522NH  Enschede
The Netherlands

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Mailing Address

University of Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Zilverling  5016
P.O. Box 217
7500 AE Enschede
The Netherlands

Organisations

University of Twente Drienerlolaan 5
7522 NB Enschede
+31 (0)53 489 9111
info@utwente.nl
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