Dr Huanhuan Li has been a Senior Research Fellow at the School of Engineering, Liverpool John Moores University (LJMU) since April 2024. From 2021 to 2024, she served as a Research Fellow at LJMU, and prior to that, she held a Research Fellow position at Nanyang Technological University in Singapore from 2020 to 2021. Dr Li received her PhD from the School of Navigation and her MSc from the School of Science at Wuhan University of Technology, China.
Her research focuses on key areas such as maritime safety and security, intelligent transportation systems, green shipping, autonomous shipping, and onshore/offshore clean energy. Dr Li is also an experienced reviewer for over 40 leading journals. She has published more than 40 peer-reviewed papers, including 14 in prestigious transportation journals (Transportation Research Part C, D, and E) and 6 in Reliability Engineering & System Safety.
She has actively contributed to academic teaching in various capacities. She has served as a teaching assistant for multiple courses, including Research Methods, Research Skills, Operations Research, and Maritime Economics and Management, where she supported lecturers in guiding students and facilitating discussions. In addition to her role as a teaching assistant, she has independently delivered two comprehensive modules: Fundamentals of Transport Systems and Transport Systems Control.
Languages
English
Chinese (Mandarin)
Degrees
Wuhan University of Technology, China, PhD (Hons)
Wuhan University of Technology, China, MSc (Hons)
Certifications
Oxford University Press (United Kingdom), United Kingdom, Professional Skills for Research Leaders
King's Fund, United Kingdom, NIA programme (Career development)
Academic appointments
Senior Research Fellow, Liverpool John Moores University, 2024 - present
Research Fellow, Liverpool John Moores University, 2021 - 2024
Research Fellow, Nanyang Technological University, 2020 - 2021
Highlighted publications
Li H, Xing W, Jiao H, Yuen KF, Gao R, Li Y, Matthews C, Yang Z. 2024. Bi-directional information fusion-driven deep network for ship trajectory prediction in intelligent transportation systems Transportation Research Part E: Logistics and Transportation Review, 192 DOI Publisher Url Public Url
Li H, Çelik C, Bashir M, Zou L, Yang Z. 2024. Incorporation of a global perspective into data-driven analysis of maritime collision accident risk Reliability Engineering and System Safety, 249 DOI Publisher Url Public Url
Li Y, Li H, Zhang C, Zhao Y, Yang Z. 2024. Incorporation of adaptive compression into a GPU parallel computing framework for analyzing large-scale vessel trajectories Transportation Research Part C: Emerging Technologies, 163 DOI Publisher Url Public Url
Li H, Zhou K, Zhang C, Bashir M, Yang Z. 2024. Dynamic evolution of maritime accidents: Comparative analysis through data-driven Bayesian Networks Ocean Engineering, 303 DOI Publisher Url Public Url
Li H, Xing W, Jiao H, Yang Z, Li Y. 2023. Deep bi-directional information-empowered ship trajectory prediction for maritime autonomous surface ships Transportation Research Part E: Logistics and Transportation Review, 181 DOI Publisher Url Public Url
Li H, Jiao H, Yang Z. 2023. Ship trajectory prediction based on machine learning and deep learning: A systematic review and methods analysis Engineering Applications of Artificial Intelligence, 126 DOI Publisher Url Public Url
Li H, Yang Z. 2023. Incorporation of AIS data-based machine learning into unsupervised route planning for maritime autonomous surface ships Transportation Research Part E: Logistics and Transportation Review, 176 :103171-103171 DOI Publisher Url Public Url
Li H, Jiao H, Yang Z. 2023. AIS data-driven ship trajectory prediction modelling and analysis based on machine learning and deep learning methods Transportation Research Part E: Logistics and Transportation Review, 175 :103152-103152 DOI Publisher Url Public Url
Li H, Ren X, Yang Z. 2022. Data-driven Bayesian network for risk analysis of global maritime accidents Reliability Engineering & System Safety, 230 DOI Publisher Url Public Url
Li H, Lam JSL, Yang Z, Liu J, Liu RW, Liang M, Li Y. 2022. Unsupervised hierarchical methodology of maritime traffic pattern extraction for knowledge discovery Transportation Research Part C: Emerging Technologies, 143 :103856-103856 DOI Publisher Url Public Url
Journal article
Cao Y, Xin X, Jarumaneeroj P, Li H, Feng Y, Wang J, Wang X, Pyne R, Yang Z. 2024. Data-driven resilience analysis of the global container shipping network against two cascading failures Transportation Research Part E: Logistics and Transportation Review, 193 DOI Publisher Url Public Url
Li H, Xing W, Jiao H, Yuen KF, Gao R, Li Y, Matthews C, Yang Z. 2024. Bi-directional information fusion-driven deep network for ship trajectory prediction in intelligent transportation systems Transportation Research Part E: Logistics and Transportation Review, 192 DOI Publisher Url Public Url
Mohsendokht M, Li H, Kontovas C, Chang C-H, Qu Z, Yang Z. 2024. Decoding dependencies among the risk factors influencing maritime cybersecurity: Lessons learned from historical incidents in the past two decades Ocean Engineering, 312 DOI Publisher Url Public Url
Wang J, Li H, Yang Z, Ge YE. 2024. A novel scheme for shore power data to enhance containership-at-berth emission estimation Transportation Research Part D: Transport and Environment, 134 DOI Publisher Url Public Url
Cheng R, Liang M, Li H, Yuen KF. 2024. Benchmarking feed-forward randomized neural networks for vessel trajectory prediction Computers and Electrical Engineering, 119 DOI Publisher Url
Mohsendokht M, Li H, Kontovas C, Chang CH, Qu Z, Yang Z. 2024. Enhancing maritime transportation security: A data-driven Bayesian network analysis of terrorist attack risks Risk Analysis, DOI Author Url Publisher Url Public Url
Cai L, Li W, Li H, Zhou B, He L, Guo W, Yang Z. 2024. Incorporation of energy-consumption optimization into multi-objective and robust port multi-equipment integrated scheduling Transportation Research Part C: Emerging Technologies, 166 :1 DOI Publisher Url Public Url
Feng Y, Wang X, Luan J, Wang H, Li H, Li H, Liu Z, Yang Z. 2024. A novel method for ship carbon emissions prediction under the influence of emergency events Transportation Research Part C: Emerging Technologies, 165 DOI Publisher Url Public Url
Wang C, Zhang X, Gao H, Bashir M, Li H, Yang Z. 2024. COLERGs-constrained safe reinforcement learning for realising MASS's risk-informed collision avoidance decision making Knowledge-Based Systems, 300 DOI Publisher Url Public Url
Wang J, Li H, Yang Z, Ge YE. 2024. Shore power for reduction of shipping emission in port: A bibliometric analysis Transportation Research Part E: Logistics and Transportation Review, 188 DOI Publisher Url Public Url
Feng Y, Wang X, Chen Q, Yang Z, Wang J, Li H, Xia G, Liu Z. 2024. Prediction of the severity of marine accidents using improved machine learning Transportation Research Part E: Logistics and Transportation Review, 188 DOI Publisher Url Public Url
Xin X, Liu K, Li H, Yang Z. 2024. Maritime traffic partitioning: An adaptive semi-supervised spectral regularization approach for leveraging multi-graph evolutionary traffic interactions Transportation Research Part C: Emerging Technologies, 164 :1-22 DOI Publisher Url Public Url
Li H, Çelik C, Bashir M, Zou L, Yang Z. 2024. Incorporation of a global perspective into data-driven analysis of maritime collision accident risk Reliability Engineering and System Safety, 249 DOI Publisher Url Public Url
Li Y, Li H, Zhang C, Zhao Y, Yang Z. 2024. Incorporation of adaptive compression into a GPU parallel computing framework for analyzing large-scale vessel trajectories Transportation Research Part C: Emerging Technologies, 163 DOI Publisher Url Public Url
Wang C, Zhang X, Gao H, Bashir M, Li H, Yang Z. 2024. Optimizing anti-collision strategy for MASS: A safe reinforcement learning approach to improve maritime traffic safety Ocean and Coastal Management, 253 DOI Publisher Url Public Url
Li H, Zhou K, Zhang C, Bashir M, Yang Z. 2024. Dynamic evolution of maritime accidents: Comparative analysis through data-driven Bayesian Networks Ocean Engineering, 303 DOI Publisher Url Public Url
Zhou K, Xing W, Wang J, Li H, Yang Z. 2023. A data-driven risk model for maritime casualty analysis: A global perspective Reliability Engineering & System Safety, 244 DOI Publisher Url Public Url
Chen H, Gao X, Li H, Yang Z. 2023. A framework for the optimal deployment of police drones based on street-level crime risk Applied Geography, 162 DOI Publisher Url Public Url
Liang M, Li H, Liu RW, Lam JSL, Yang Z. 2023. PiracyAnalyzer: Spatial temporal patterns analysis of global piracy incidents Reliability Engineering & System Safety, 243 DOI Publisher Url Public Url
Cai L, Li W, Zhou B, Li H, Yang Z. 2023. Robust multi-equipment scheduling for U-shaped container terminals concerning double-cycling mode and uncertain operation time with cascade effects Transportation Research Part C: Emerging Technologies, 158 DOI Publisher Url Public Url
Li H, Xing W, Jiao H, Yang Z, Li Y. 2023. Deep bi-directional information-empowered ship trajectory prediction for maritime autonomous surface ships Transportation Research Part E: Logistics and Transportation Review, 181 DOI Publisher Url Public Url
Wang J, Zhou K, Xing W, Li H, Yang Z. 2023. Applications, Evolutions, and Challenges of Drones in Maritime Transport Journal of Marine Science and Engineering, 11 DOI Publisher Url Public Url
Xing W, Wang J, Zhou K, Li H, Li Y, Yang Z. 2023. A hierarchical methodology for vessel traffic flow prediction using Bayesian tensor decomposition and similarity grouping Ocean Engineering, 286 DOI Publisher Url Public Url
Li H, Yang Z. 2023. Towards safe navigation environment: The imminent role of spatio-temporal pattern mining in maritime piracy incidents analysis Reliability Engineering and System Safety, 238 :109422-109422 DOI Publisher Url Public Url
Li H, Jiao H, Yang Z. 2023. Ship trajectory prediction based on machine learning and deep learning: A systematic review and methods analysis Engineering Applications of Artificial Intelligence, 126 DOI Publisher Url Public Url
Li Y, Liang M, Li H, Yang Z, Du L, Chen Z. 2023. Deep learning-powered vessel traffic flow prediction with spatial-temporal attributes and similarity grouping Engineering Applications of Artificial Intelligence, 126 DOI Publisher Url Public Url
Xin X, Liu K, Loughney S, Wang J, Li H, Ekere N, Yang Z. 2023. Multi-scale collision risk estimation for maritime traffic in complex port waters Reliability Engineering & System Safety, 240 DOI Publisher Url Public Url
Li H, Yang Z. 2023. Incorporation of AIS data-based machine learning into unsupervised route planning for maritime autonomous surface ships Transportation Research Part E: Logistics and Transportation Review, 176 :103171-103171 DOI Publisher Url Public Url
Li H, Jiao H, Yang Z. 2023. AIS data-driven ship trajectory prediction modelling and analysis based on machine learning and deep learning methods Transportation Research Part E: Logistics and Transportation Review, 175 :103152-103152 DOI Publisher Url Public Url
Xin X, Liu K, Loughney S, Wang J, Li H, Yang Z. 2023. Graph-based ship traffic partitioning for intelligent maritime surveillance in complex port waters Expert Systems with Applications, 231 DOI Publisher Url Public Url
Li C, Wan Y, Zhang W, Li H. 2023. A two-phase filtering of discriminative shapelets learning for time series classification Applied Intelligence, 53 :13815-13833 DOI Publisher Url
Liang M, Liu RW, Zhan Y, Li H, Zhu F, Wang FY. 2022. Fine-Grained Vessel Traffic Flow Prediction With a Spatio-Temporal Multigraph Convolutional Network IEEE Transactions on Intelligent Transportation Systems, 23 :23694-23707 DOI Publisher Url
Li H, Ren X, Yang Z. 2022. Data-driven Bayesian network for risk analysis of global maritime accidents Reliability Engineering & System Safety, 230 DOI Publisher Url Public Url
Zhang J, Ren X, Li H, Yang Z. 2022. Incorporation of Deep Kernel Convolution into Density Clustering for Shipping AIS Data Denoising and Reconstruction Journal of Marine Science and Engineering, 10 :1319-1319 DOI Publisher Url Public Url
Li H, Lam JSL, Yang Z, Liu J, Liu RW, Liang M, Li Y. 2022. Unsupervised hierarchical methodology of maritime traffic pattern extraction for knowledge discovery Transportation Research Part C: Emerging Technologies, 143 :103856-103856 DOI Publisher Url Public Url
Wu W, Liu Z, Liu J, Li H. 2020. Calculation and Analysis of Sinkage on 400 000 t Ore Carrier in Restricted Waterways Wuhan Ligong Daxue Xuebao (Jiaotong Kexue Yu Gongcheng Ban)/Journal of Wuhan University of Technology (Transportation Science and Engineering), 44 :722-727 DOI
Li H, Liu J, Yang Z, Liu RW, Wu K, Wan Y. 2020. Adaptively constrained dynamic time warping for time series classification and clustering Information Sciences, 534 :97-116 DOI Author Url Publisher Url Public Url
Liu J, Li H, Yang Z, Wu K, Liu Y, Liu RW. 2019. Adaptive Douglas-Peucker Algorithm With Automatic Thresholding for AIS-Based Vessel Trajectory Compression IEEE Access, 7 :150677-150692 DOI Author Url Publisher Url Public Url
Hu Y, Liu J, Liu Y, Li H, Liu Z. 2019. Study on Measurement of Vessel Traffic Flow Inhomogeneity Based on Discrepancy of Point Sets Wuhan Ligong Daxue Xuebao (Jiaotong Kexue Yu Gongcheng Ban)/Journal of Wuhan University of Technology (Transportation Science and Engineering), 43 :511-516 DOI
Li H, Liu J, Wu K, Yang Z, Liu RW, Xiong N. 2018. Spatio-Temporal Vessel Trajectory Clustering Based on Data Mapping and Density IEEE Access, 6 :58939-58954 DOI Author Url Publisher Url Public Url
Li H, Liu J, Liu R, Xiong N, Wu K, Kim T-H. 2017. A Dimensionality Reduction-Based Multi-Step Clustering Method for Robust Vessel Trajectory Analysis Sensors, 17 DOI Author Url Publisher Url Public Url
Liu Z, Liu J, Li H, Li Z, Tan Z, Liu RW, Liu YI. 2017. Hierarchical and coupling model of factors influencing vessel traffic flow PLoS One, 12 DOI Author Url Publisher Url Public Url
Conference publication
Li H, Yang Z. 2024. AIS data-based machine learning for unsupervised route planning of maritime autonomous surface ships Proceedings of the 8th International Symposium on Reliability Engineering and Risk Management, ISRERM 2022, :187-193 DOI Publisher Url
Yang X, Liu J, Li H, Wu W, Gao G. 2019. Numerical calculation and simulation study of squat on very large ship Proceedings of the International Offshore and Polar Engineering Conference, 4 :4932-4939
Cao J, Liang M, Li Y, Chen J, Li H, Liu RW, Liu J. 2018. PCA-based hierarchical clustering of AIS trajectories with automatic extraction of clusters 2018 IEEE 3rd International Conference on Big Data Analysis, ICBDA 2018, :448-452 DOI Publisher Url
Hu B, Liu RW, Wang K, Li Y, Liang M, Li H, Liu J. 2017. Statistical Analysis of Massive AIS Trajectories Using Gaussian Mixture Models 2017 2ND INTERNATIONAL CONFERENCE ON MULTIMEDIA AND IMAGE PROCESSING (ICMIP), 2nd International Conference on Multimedia and Image Processing (ICMIP) :113-117 DOI Author Url Publisher Url
Li H, Liu J, Liu RW. 2017. Dynamic speed control model for very large ship in restricted waters Proceedings of the International Offshore and Polar Engineering Conference, :556-562
Cai L, Li W, Li H, Zhou B, Yang Z. Reliability-based approach for port integrated scheduling incorporating uncertain operation
Mohsendokht M, Li H, Kontovas C, Chang C-H, Yang Z. Maritime terrorism risk analysis through a data-driven Bayesian network approach IAME
Award:
Vice Chancellor’s Award for Excellence - Rising Star, Liverpool John Moores University, https://www.ljmu.ac.uk/about-us/news/articles/2024/12/17/rke-conference-2024. 2024
Teaching qualification:
Associate Fellow (AFHEA). 2022
Conference presentation:
AIS data-based machine learning for unsupervised route planning of maritime autonomous surface ships, International Symposium on Reliability Engineering and Risk Management (ISRERM) 2022, Oral presentation.
Dynamic evolution of maritime accidents: comparative analysis through data-driven Bayesian Networks, International Association of Maritime Economists 2024, Oral presentation.
Ship trajectory prediction based on multi-factor for maritime safety, International Forum on Shipping, Ports and Airports 2024, Oral presentation.
Towards safe navigation environment: the imminent role of spatio-temporal pattern mining in maritime piracy incidents analysis, International Association of Maritime Economists 2022, Oral presentation.
Industrial connections:
Connected Places Catapult.
Freeport | Liverpool City Region Combined Authority.
Liverpool City Region Combined Authority.
Maritime Research and Innovation UK (MarRI-UK).