– Daigo Shiraishi, Wenru Zhang, Ryuichi Shibasaki, Yesim Elhan Kayalar, Examining container terminal efficiency with diverse data sources: Vessel, truck, and container turnaround times in Japanese terminals, Logistics, 2026 (accepted) doi:
– Samer Hassan Okasha, Yujiro Wada, Ryuichi Shibasaki, Forecasting bunker price using deep learning and dimensionality reduction, Maritime Business Review, 2026 (accepted) doi: 10.1108/MABR-12-2024-0093
– Chathumi Ayanthi Kavirathna, Ryuichi Shibasaki, A decision-support model of icebreaker prepositioning for northern sea route navigation: A weighted-demand approach, Maritime Transport Research, 10, 100147, 2026 doi: 10.1016/j.martra.2025.100147
– Wenru Zhang, Ryuichi Shibasaki, Satellite-AIS Fusion for Container Terminal Analytics: Towards Digital Port Operations in Tokyo’s Ohi Terminals, 2025 IEEE International Conference on Big Data (IEEE BigData 2025), 8−11 December 2025, Macau, China
– Kenta Kowatari, Ryuichi Shibasaki, Schedule Recovery Strategies in Container Liner Shipping Networks Using Multi-Agent Simulations, 2025 IEEE International Conference on Big Data (IEEE BigData 2025), 8−11 December 2025, Macau, China
– Daigo Shiraishi, Ryuichi Shibasaki, Wenru Zhang, Yesim Elhan-Kayalar, Digital port integration and terminal efficiency: Evidence from vessel, truck, and container turnaround times in Japanese container terminals, ADB Economics Working Paper Series, No.826, December 2025, Available at SSRN doi: 10.2139/ssrn.5843762
– Daigo Shiraishi, Ryuichi Shibasaki, Wenru Zhang, Yesim Elhan-Kayalar, Digital port integration and terminal efficiency: Evidence from the implementation of online truck booking systems in Japanese container terminals, ADB Economists’ Forum, 21-23 January 2026, Manila, Philippines (online) [invited]
– Ryuichi Shibasaki, Global logistics network simulation modelling and big data analysis, Special Seminar at Liverpool Logistics, Offshore and Marine Research Institute (LOOM), Liverpool John Moores University, 7 January 2026, Liverpool, UK [invited]
– Wenru Zhang, Deep Learning-based Fusion Analysis of Satellite Image and Ship AIS Data, The 9th International Forum for Young Scholars, 27 December 2025, Wuhan, China [Invited]
– Daigo Shiraishi, Ryuichi Shibasaki, Wenru Zhang, Yesim Elhan-Kayalar, Digital port integration and terminal efficiency: Evidence from the implementation of online truck booking systems in Japanese container terminals, 20th Economic Association of East Asia, 9 November 2025, Manila, Philippines
