Wuhan University of Technology | China
Zhi Yuan is a dedicated researcher specializing in intelligent shipping, traffic safety, and data-driven modeling, with strong contributions to maritime transportation analytics and vessel behavior prediction. He holds a bachelor’s degree in Electronic Information Science and Technology, a master’s degree in Software Engineering, and is completing a PhD in Traffic Information Engineering and Control at the School of Navigation, Wuhan University of Technology, including a joint PhD program at Liverpool John Moores University. His research experience spans numerous national and provincial projects on ship energy consumption prediction, vessel traffic flow modeling, multimodal data fusion, and intelligent navigation technologies. He has actively participated in major international conferences such as ISOPE, ICITE, IFSPA, CBD, and WTC, presenting work on AIS-based trajectory reconstruction, fuel consumption modeling, and spatio-temporal data analysis. His publications appear in leading journals including Environmental Modelling & Software, Ocean Engineering, Regional Studies in Marine Science, and IEEE Access. He has also contributed to several patents related to maritime safety and navigation systems. Recognized with multiple scholarships and academic awards, he continues to advance innovative solutions for maritime intelligence and sustainable navigation, aiming to enhance safety, efficiency, and environmental performance in complex waterways.
Featured Publications
1. Yuan, Z., Liu, J., Liu, Y., Zhang, Q., & Liu, R. W. (2020). A multi-task analysis and modelling paradigm using LSTM for multi-source monitoring data of inland vessels. Ocean Engineering, 213, 107604.
2. Yuan, Z., Liu, J., Liu, Y., & Li, Z. (2019). A novel approach for vessel trajectory reconstruction using AIS data. In Proceedings of the ISOPE International Ocean and Polar Engineering Conference (Paper No. ISOPE-I-19-364).
3. Li, Z., Zhang, T., Yuan, Z., Wu, Z., & Du, Z. (2018). Spatio-temporal pattern analysis and prediction for urban crime. In Proceedings of the Sixth International Conference on Advanced Cloud and Big Data (CBD).
4. Wang, X., Liu, J., Liu, Z., & Yuan, Z. (2020). Measurement and evaluation of marine intelligent transportation PNT data based on BDS and DGNSS. IOP Conference Series: Materials Science and Engineering, 719(1), 012069.