Projects per year
Personal profile
Research Interests
My primary research direction is: Data Mining and Intelligent Decision-Making & Optimization Systems, and their applications in port and shipping digitization, smart warehousing and logistics, Internet of Things (IoT), and related fields.
Personal profile
Qinyu Liu received the MS degree (with Distinction) in electronic communication and computer engineering, and the Ph.D. degree in electronic and electrical engineering from the University of Nottingham in 2017 and 2022, respectively. He is currently an Assistant Professor at the University of Nottingham Ningbo China. His research interests include data mining, intelligent decision-making, and optimization systems, with application research in the fields of port and shipping digitalization, intelligent warehousing and logistics, and the Internet of Things. Currently, he is the principal investigator for projects funded by the Zhejiang Provincial Natural Science Foundation for Young Scientists, the Ningbo Young Doctoral Innovative Research Project, and a general scientific research project from the Provincial Department of Education. He also serves as the institution responsible for a Zhejiang Provincial Leading Technology Innovation Project and a Ningbo Municipal Major Special Project.
Disciplines
- Information and Communication Engineering
- Computer Science and Engineering
- Traffic Engineering
Person Types
- Staff
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Collaborations and top research areas from the last five years
Projects
- 1 Active
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Research on Generative Horizontal Transportation Scheduling Strategies for Container Terminals Driven by Multi-dimensional Knowledge Collaboration
Liu, Q. (PI)
1/01/25 → 31/12/26
Project: Government Funded Projects › Vertical-Zhejiang Provincial/Ministerial Government(省部级) Funded Projects
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An Indoor Positioning Algorithm Based on Particle Filter and Neighbor-Guided Particle Optimization for Wireless Sensor Networks
Zhou, N., Liu, Q., Yang, Y., Wu, D., Gao, G., Lei, S. & Yang, S., 2024, In: IEEE Transactions on Instrumentation and Measurement. 73, p. 1-16 16 p., 8500516.Research output: Journal Publication › Article › peer-review
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A Two-Phase UWB-Based Positioning Method for Indoor Non-Line-of-Sight Environments
Zhou, N., Liu, Q., Hancock, C. & Yang, S., 2024, In: IEEE Sensors Journal. 24, 24, p. 41264-41276 13 p.Research output: Journal Publication › Article › peer-review
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Autonomous handover parameter optimisation for 5G cellular networks using deep deterministic policy gradient
Kwong, C. F., Shi, C., Liu, Q., Yang, S., Chieng, D. & Kar, P., 15 Jul 2024, In: Expert Systems with Applications. 246, 122871.Research output: Journal Publication › Article › peer-review
Open Access -
Photoplethysmography-based non-invasive blood pressure monitoring via ensemble model and imbalanced dataset processing
Liu, Q., Yang, C., Yang, S., Kwong, C. F., Wang, J. & Zhou, N., Dec 2024, In: Physical and Engineering Sciences in Medicine. 47, 4, p. 1307-1321 15 p.Research output: Journal Publication › Article › peer-review
Open Access -
Reinforcement learning-based joint self-optimisation method for the fuzzy logic handover algorithm in 5G HetNets
Liu, Q., Kwong, C. F., Wei, S., Zhou, S., Li, L. & Kar, P., 15 Nov 2021, (Published Online) In: Neural Computing and Applications. 35, 10, p. 7297-7313 17 p.Research output: Journal Publication › Article › peer-review
Open Access