Achievements

2026

  • Teshima, I., Wicaksana, I.M.R., Cai, Z., Liu, X., Chen, Y., Tian, Y., & Hirata, E. (2026). Measuring and predicting supply chain resilience under disaster and pandemic disruptions: Evidence from Japan’s automotive sector. International Journal of Disaster Risk Reduction, 136, 106062. [Journal]
  • Fahreza, M.I., Kaneko, J., & Hirata, E. (2026). Profitability Assessment and Profit Sharing of Shinkansen-Based Crowdshipping in Japan. Sustainability, 18(3), 1239. [Journal]

2025

  • Kondo, T., Fujimoto, S., Rooks, M., Konishi, T., & Yasuta, N. (Dec 2025). A Study on the Implications of Maritime Autonomous Surface Ships on Maritime Education and Training. TransNav, 19(4), 1179–1185. [Journal]
  • Szwed, P., Rooks, M., & Sholdt, G. (Oct 2025). Navigating Beyond Borders: Cultivating Affective Competencies in Future Global Maritime Professionals through Study Away Programs. Proceedings of the IAMU Conference, 25(1), 165–170. [Conference Paper]
  • Naganawa, H., Hirata, E., & Yamada, A. (2025). Implementing a knowledge management system with GraphRAG: A physical internet example. Electronics, 14(24), 4948. [Journal]
  • Naganawa, H., Hirata, E., & Thompson, R.G. (2025). A sustainable crowd shipping model using public transport for low-carbon urban logistics. Cleaner Logistics and Supply Chain, 100276. [Journal]
  • Hirata, E., Sunio, V., Thompson, R.G., & Foliente, G. (2025). Toward greener logistics: uncovering key enablers of the physical internet using AI-powered theme analysis. Cleaner Logistics and Supply Chain, 100263. [Journal]
  • Naganawa, H., & Hirata, E. (2025). Social Media and Logistics: Uncovering Challenges and Solutions Through YouTube Data. Logistics, 9(2), 56. [Journal]
  • Naganawa, H., & Hirata, E. (2025). Enhancing Policy Generation with GraphRAG and YouTube Data: A Logistics Case Study. Electronics, 14(7), 1241. [Journal]
  • Fahreza, M.I., & Hirata, E. (2025). The Physical Internet: Research Trend Analysis Through Natural Language Processing. Proceedings of IPIC2025. [Conference Paper]
  • Naganawa, H., Hirata, E., Thompson, R.G., & Yamada, A. (2025). Advancing the Physical Internet with GraphRAG: A New Way to Review and Integrate Existing Research. Proceedings of IPIC2025. [Conference Paper]
  • Waskito, K.T., Tarigan, L.G., Yanuar, and Sasa K., “Resistance and Propulsion Study of a 17500-DWT Oil Tanker Using Computational Fluid Dynamics and Slender-Ship Theory: Effects of Energy-Saving Device Fins”, Journal of Marine Science and Application, Vol., pp.1-24, February, 2026(Impact Factor: 2.1)DOI: 10.1007/s11804-026-00866-x
  • Takeuchi, K., Sasa, K., Takami, T., “Development of One-week Ahead Work Safety Prediction System Combining Machine Learning-based Wave Prediction and Motion Response Prediction of a Workvessel”,Journal of Japan Institute of Navigation,No. 153,pp.36-47,January, 2026 (in Japanese) DOI: 10.9749/jin.153.36
  • Jing, R., Chen, C., Hu, S., Sasa, K., Yu, H., and Hu, Y., “Spatial-Temporal Shipping Risk Assessment along Asia-Europe Route due to Ocean Waves”, Ocean and Coastal Management, Vol.270, 107922, pp.1-19, September, 2025(Impact Factor: 5.4) DOI: 10.1016/j.oceacoaman.2025.107922 
  • Lee, S.W., Sasa, K., and Cho, I.S., “Improvement of Wave Measurement Accuracy with Shipboard X-band Radar: Integration of Ship Motions and Precipitation Data”, Ocean Engineering, Vol.341, 122412, pp.1-17, August, 2025(Impact Factor: 5.5) DOI: 10.1016/j.oceaneng.2025.122412
  • Chen, H., Chen, C., Sasa, K., Xi, Y., and Xu, J., “Quantitative Analysis of a Ship Anchor Dragging Accident in Extreme Weather: A Rapid Intensification Tropical Cyclone Case”, Ocean Engineering, Vol.333, 121292, pp.1-15, July, 2025(Impact Factor: 4.6) DOI: 10.1016/j.oceaneng.2025.121392

2024

  • Sholdt, G., & Rooks, M. (Oct 2024). Developing a Short-Term Study Tour Program: Maximizing Benefits for Host University Students. Proceedings of the IAMU Conference, 91–96. [Conference Paper]
  • Hirata, E., Firdausiyah, N., & Kusumaningdyah, W. (2024). Handling modular containers in a physical internet environment. Maritime Economics & Logistics, 27, 449–475. [Journal]
  • Fahreza, M.I., & Hirata, E. (2024). Maritime piracy and armed robbery analysis in the Straits of Malacca and Singapore through the utilization of natural language processing. Maritime Policy & Management, 52(5), 709–722. [Journal]
  • Hirata, E., Li, K.X., & Watanabe, D. (2024). Exploring decarbonization priorities for sustainable shipping: A natural language processing-based experiment. Sustainable Futures, 8, 100358. [Journal]
  • Ueno, D., & Hirata, E. (2024). The Optimization of Picking in Logistics Warehouses in the Event of Sudden Picking Order Changes and Picking Route Blockages. Mathematics, 12(16), 2580. [Journal]
  • Hirata, E., Watanabe, D., Chalmoukis, A., & Lambrou, M. (2024). A Topic Modeling Approach to Determine Supply Chain Management Priorities Enabled by Digital Twin Technology. Sustainability, 16(9), 3552. [Journal]
  • Naganawa, H., Hirata, E., Firdausiyah, N., & Thompson, R.G. (2024). Logistics Hub and Route Optimization in the Physical Internet Paradigm. Logistics, 8(2), 37. [Journal]
  • Hirata, E., & Hansen, A.S. (2024). Identifying Key Issues in Integration of Autonomous Ships in Container Ports: A Machine-Learning-Based Systematic Literature Review. Logistics, 8(1), 23. [Journal]
  • Fahreza, M.I., & Hirata, E. (2024). Strategy Generation and Selection for Maritime Piracy and Armed Robbery Problem in the Straits of Malacca and Singapore through Bayesian Network-based TOPSIS Analysis. Proceedings of the 70th JSCE Annual Meeting. [Conference Paper]
  • Naganawa, H., & Hirata, E. (2024). Reinforcement Learning-Based Optimization of Logistical Hubs and Routing in the Context of the Physical Internet. Proceedings of IPIC2024. [Conference Paper]
  • 長縄尚駿, 平田燕奈 (2024). 物流の2024年問題:YouTubeのコメントデータを用いた自然言語処理分析. 土木計画学研究・講演集70. [Conference Paper]
  • 樊世星, 平田燕奈 (2024). 自然言語処理を用いた駅周辺の人流予測に関する研究. 土木計画学研究・講演集70. [Conference Paper]
  • 野原郁哉, 平田燕奈 (2024). フィジカルインターネット環境における圧縮水素のコンテナ輸送に関する提案. 土木計画学研究・講演集70. [Conference Paper]
  • Chen, C., Chen, H., and Sasa, K., “Study on the Forecasting of Two Cold Surge Events from the Viewpoint of Maritime Transport”, Meteorological Applications, Vol.32, Issue 2, e70029, pp.1-17, March, 2025(Impact Factor: 2.3)DOI: 10.1002/met.70029
  • Yuen, P.C., Sasa, K., Kawahara, H., and Lee, S.W., “Statistical Validation of a Global Meteorological Database to Evaluate the Condensation Probability of Containers”, Transactions of Navigation, Vol.10, No.1, pp.12-23, March, 2025 DOI: 10.18949/jintransnavi.10.1_12
  • Yan, D., Chen, C., Gan, W., Sasa, K., He, G., and Yu, H., “Carbon Intensity Indicator (CII) Compliance: Applications of Ship Speed Optimization on Each Level Using Measurement Data”, Marine Pollution Bulletin, Vol.212, 117593, pp.1-17, January, 2025(Impact Factor: 5.3)DOI: 10.1016/j.marpolbul.2025.117593
  • Shigeki Sakakibara., Yasuhiro Kimura., Kenji Sasa., Yoshiji Yano., Masayoshi Kubo, “A Study on Ship Mooring Status of Training Ships in Ports and Harbors for Emergency Operations of Earthquake and Tsunami Disasters”, The Journal of Japan Institute of Navigation Vol.151, pp.33-45,January, 2025 (in Japanese) DOI: 10.9749/jin.151.33
  • Lee, S.W., Sasa, K., Masagaki, T., and Chen, C., “Effects of Swell Waves Caused by Atmospheric Depression on Ships Sailing in the North Pacific Ocean”, Ocean Engineering, Vol.312, 119121, pp.1-22, November, 2024(Impact Factor: 4.6)DOI: 10.1016/j.oceaneng.2024.119121
  • Takeuchi, K., Sasa, K., and Lee, S.W., “Optimal Maintenance Support System for Offshore Structures Based on Wave Prediction Analysis with NOWPHAS”, Ocean Engineering, Vol.309, 118350, pp.1-27, October, 2024(Impact Factor: 5.0)DOI: 10.1016/j.oceaneng.2024.118350
  • Maki, A., Maruyama, Y., Dostal, L., Sasa, K., Sawada, R., and Wakita, K., “Practical Method for Evaluating Wind Influence on Autonomous Ship Operations (2nd Report)”, Journal of Marine Science and Technology, Vol.29, pp.876-884, August, 2024(Impact Factor: 2.7)DOI: 10.1007/s00773-024-01025-z 

2023

  • Rooks, M. (Sep 2023). An Analysis of SMCP Usage in VHF Communications by Japanese Seafarers. NASE MORE 2023 International Conference Book of Abstracts, 47–48. [Conference Paper]
  • Rooks, M. (May 2023). Investigating Actual Use of SMCPs in VHF Communications: Assessment and Implications for MET. International Maritime Science Conference 2023 Proceedings, 10(1), 261–268. [Conference Paper]
  • Sakuma, S., Fujimoto, S., Konishi, T., & Rooks, M. (2023). Estimating the Heading of Overtaken Vessels by Side Passage Lights. Transactions of Navigation, 8(2), 63–72. [Journal]
  • Hirata, E., Yamashita, T., & Ozawa, S. (2023). Researcher Network Visualization using Matrix Researcher2vec. Journal of Advanced Computational Intelligence & Intelligent Informatics, 27(4), 603–608. [Journal]
  • Hirata, E., & Matsuda, T. (2023). Examining logistics developments in post-pandemic Japan through sentiment analysis of Twitter data. Asian Transport Studies, 9, 100110. [Journal]
  • Hirata, E., Li, K., & Watanabe, D. (2023). Research Topics and Methods in Maritime Decarbonization: A Natural Language Processing Approach. Proceedings of IAME2023. [Conference Paper]
  • 長縄尚駿, 平田燕奈 (2023). フィジカルインターネットにおける物流拠点の最適立地と配送ルートの最適化. 土木計画学研究・講演集68. [Conference Paper]
  • Kaichi Takeuchi., Kenji Sasa., “A Consideration on Safe and Efficient Operation of Offshore Structures Using Ocean Wave Information Facing Open Seas” The Journal of Japan Institute of Navigation, Vol.148, pp.18-26, July 2023 (in Japanese) DOI: 10.9749/jin.148.18
  • Sasa, K., Lee, S.W., Shimada, R., Takagaki, T., and Terada, D., “Safety Evaluation of Lashed Trailer Motions in Ferry Operations under Rough Sea Conditions”, Ocean Engineering, Vol.275, 114114, pp.1-19, May, 2023(Impact Factor: 4.372)DOI: 10.1016/j.oceaneng.2023.114114

2022

  • Miyoshi, T., Fujimoto, S., Rooks, M., Konishi, T., & Suzuki, R. (Feb 2022). Rules required for operating maritime autonomous surface ships from the viewpoint of seafarers. Journal of Navigation, 1–16. [Journal]
  • Hirata, E., & Matsuda, T. (2022). Forecasting Shanghai Container Freight Index: A Deep-Learning-Based Model Experiment. Journal of Marine Science and Engineering, 10(5), 593. [Journal]
  • Hirata, E., Yamashita, T., & Ozawa, S. (2022). Development of Researcher Network Visualization System by Matrix Researcher2vec. Proceedings of FAN 2022. [Conference Paper]
  • Watanabe, D., Hirata, E., & Lambrou, M. (2022). A Study on Market Forecast of International Logistics Using Natural Language Processing. IAME2022. [Conference Paper]
  • Hirata, E., & Matsuda, T. (2022). Decoding Logistics Trend in Japan using SNS Data. IAME2022. [Conference Paper]
  • Yasuhiro Kimura., Kenji Sasa., Daichi Hara., Masayoshi Kubo., “Basic Survey on Emergency Operation for Vessels and Ports in Case of Earthquake and Tsunami” The Journal of Japan Institute of Navigation Vol. 147,pp.1-8,January, 2023 (in Japanese) DOI: 10.9749/jin.147.1
  • Maki, A., Dostal, L., Maruyama, Y., Sasa, K., Sakai, M., and Umeda, N., “Enhanced Estimation Method and Approximation Method of the PDF of Roll Angular Acceleration and Jerk in Beam Seas”, Ocean Engineering, Vol.264, 112159, pp.1-7, November, 2022(Impact Factor: 4.372)DOI: 10.1016/j.oceaneng.2022.112159
  • Waskito, K.T., Sasa, K., Chen, C., Kitagawa, Y., and Lee, S.W., “Comparative Study of Realistic Ship Motion Simulation for Optimal Ship Routing of a Bulk Carrier in Rough Seas”, Ocean Engineering, Vol.260, 111731, pp.1-21, September, 2022(Impact Factor: 4.372)DOI: 10.1016/j.oceaneng.2022.111731
  • Maki, A., Maruyama, Y., Dostal, L., Sakai, M., Sawada, R., Sasa, K., and Umeda, N., “Practical Method for Evaluating Wind Influence on Autonomous Ship Operations”, Journal of Marine Science and Technology, September, 2022(Impact Factor: 1.947)
  • Lee, S.W., Sasa, K., Chen, C., Waskito, K.T., and Cho, I.S., “Novel Safety Evaluation Technique for Ships in Offshore Anchorage Under Rough Seas Conditions for Optimal Ship Routing”, Ocean Engineering, Vol.253, 111323, pp.1-17, June, 2022(Impact Factor: 3.795)DOI: 10.1016/j.oceaneng.2022.111323

2021

  • Rooks, M. (Oct 2021). Proposal and Effect Verification of Improved Auxiliary Stern Light. Transactions of Navigation, 6(2), 85–96. [Journal]
  • Rooks, M. (Mar 2021). Study of Principles in COLREGs and Interpretations and Amendments COLREGs for Maritime Autonomous Surface Ships (MASS). Transactions of Navigation, 6(1), 11–18. [Journal]
  • Shimizu, T., & Rooks, M. (Mar 2021). Slowly melting the urate snow in joints: Explaining gout attacks to patients. International Journal of Rheumatic Diseases, 24(3), 297–299. [Journal]
  • Matsuda, T., Hirata, E., & Kawasaki, T. (2021). Monopoly in the container shipping market: an econometric approach. Maritime Business Review, 7(4), 318–331. [Journal]
  • Hirata, E., & Matsuda, T. (2021). Uncovering the impact of COVID-19 on shipping and logistics. Maritime Business Review, 7(4), 305–317. [Journal; Emerald Literati Award 2023]
  • Wang, Y., Watanabe, D., Hirata, E., & Toriumi, S. (2021). Real-Time Management of Vessel Carbon Dioxide Emissions Based on Automatic Identification System Database Using Deep Learning. Journal of Marine Science and Engineering, 9(8), 871. [Journal]
  • Munim, Z.H., Duru, O., & Hirata, E. (2021). Rise, Fall, and Recovery of Blockchains in the Maritime Technology Space. Journal of Marine Science and Engineering, 9(3), 266. [Journal]
  • Kim, H., Watanabe, D., Toriumi, S., & Hirata, E. (2021). Spatial Analysis of an Emission Inventory from Liquefied Natural Gas Fleet Based on Automatic Identification System Database. Sustainability, 13(3), 1250. [Journal]
  • 平田燕奈 (2021). フィジカルインターネットにおけるブロックチェーン技術の応用性に関する研究. 海事交通研究, 70, 67–77. [Journal]
  • Maki, A., Dostal, L., Maruyama, Y., Sasa, K., Sakai, M., Sugimoto, K., Fukumoto, Y., and Umeda, N., “Theoretical Estimation of Joint Probability Density Function of Roll Angle and Angular Acceleration in Beam Seas Using PDF Line Integral Method”, Journal of Marine Science and Technology, Vol.27, pp.814-822, January, 2022(Impact Factor: 2.038)DOI: 10.1007/s007730-022-008730x
  • Yuen, P.C., Sasa, K., Kawahara, H., and Chen, C., “Statistical Estimation of Container Condensation in Marine Transportation between Far East Asia and Europe”, The Journal of Navigation, Volume 75, Issue 1, pp.176-199, January, 2022(Impact Factor: 1.905)DOI: 10.1017/S0373463321000746
  • Daisuke Terada., Makoto Kosao., Hiroyuki Oda., Kenji Sasa., Yoshikazu Tanaka., “Estimation of Characteristics of Waves Encountered with a Ship by Using a Set of Data Obtained from Draft Measurement System” Japan Institute of Navigation, Vol. 145, pp.47-55 January, 2021 (in Japanese)  DOI: 10.9749/jin.145.47
  • Lee, S.W., Sasa, K., Aoki, S., Yamamoto, K., and Chen, C., “New Evaluation of Ship Mooring with Friction Effects on Mooring Rope and Cost-Benefit Estimation to Improve Port Safety”, International Journal of Naval Architecture and Ocean Engineering, Vol.13, pp.306-320, November, 2021(Impact Factor: 2.242)DOI: 10.1016/j.ijnaoe.2021.04.002
  • Sasa, K., Chen, C., Fujimatsu, T., Shoji, R., and Maki, A., “Speed Loss Analysis and Rough Wave Avoidance Algorithms for Optimal Ship Routing Simulation of 28,000-DWT Bulk Carrier”, Ocean Engineering, Vol.228, pp.1-18, 108800, May, 2021(Impact Factor: 3.068)DOI: 10.1016/j.oceaneng.2021.108800
  • Chen, C., Sasa, K., Prpić-Oršić, J., Mizojiri, T., “Statistical Analysis of Waves’ Effects on Ship Navigation Using High-Resolution Numerical Wave Simulation and Shipboard Measurements”, Ocean Engineering, Vol.229, pp.1-14, 108757, June, 2021(Impact Factor: 3.068)DOI: 10.1016/j.oceaneng.2021.108757

2020

  • Kamioka, D., Murai, K., Kitamura, K., Wakida, S., & Rooks, M. (Mar 2020). Mental Workload Evaluation of Port-Coordinators by Salivary NO3-. Transactions of Navigation, 5(1), 1–8. [Journal]
  • Hirata, E., Lambrou, M., & Watanabe, D. (2020). Blockchain technology in supply chain management: insights from machine learning algorithms. Maritime Business Review, 6(2), 114–128. [Journal; Emerald Literati Award 2022]
  • Sakalayen, Q.M.H., Duru, O., & Hirata, E. (2020). An Econophysics Approach to Forecast Bulk Shipbuilding Orderbook. Maritime Business Review, 6(3), 234–255. [Journal]
  • Hirata, E. (2020). Service recovery and customer satisfaction in container liner shipping industry. International Journal of Shipping and Transport Logistics, 12(6), 111116. [Journal]
  • 平田燕奈 (2020). ブロックチェーンと港湾電子化:トレードレンズの概要と最新動向. 港湾荷役, 65(4), 411–416. [Journal]
  • Hirata, E., & Matsuda, T. (2020). Forecasting container freight rate: A comparison of traditional and deep learning-based models. ALRT 2020. [Conference Paper]
  • Hirata, E., & Matsuda, T. (2020). A Discussion on How Covid-19 Impacts Shipping and Logistics. T-LOG 2020. [Conference Paper]
  • Hirata, E., Lambrou, M., & Watanabe, D. (2020). Application of Blockchain in Supply Chain: Insights from Machine Learning. IAME2020. [Conference Paper]
  • Jing, Q., Sasa, K., Chen, C., Yin, Y., Yasukawa, H., and Terada, D., “Analysis of Ship Maneuvering Difficulties under Severe Weather Based on Onboard Measurements and Realistic Simulation of Ocean Environment”, Ocean Engineering, Vol.221, pp.1-27, 108254, February, 2021(Impact Factor: 3.068)DOI: 10.1016/j.oceaneng.2020.108524
  • Chen, C., Sasa, K., Ohsawa, T., Kashiwagi, M., and Prpić-Oršić, J., and Mizojiri, T., Comparative Assessment of NCEP and ECMWF Global Datasets and Numerical Approaches on Rough Sea Ship Navigation based on Numerical Simulation and Shipboard Measurements”, Applied Ocean Research, Vol.101, pp.1-13, 102219, August, 2020(Impact Factor: 2.753)DOI: 10.1016/j.apor.2020.102219
  • Prpić-Oršić, J., Sasa, K., Valčić, M., and Faltinsen, O.M., “Uncertainties of Ship Speed Loss Evaluation under Real Weather Conditions”, Journal of Offshore Mechanics and Arctic Engineering, Vol.142, pp.031106-1-031106-5, June, 2020(Impact Factor: 1.186)DOI: 10.1115/1.4045790
  • Chen, C., Sasa, K., Ohsawa, T., and Prpić-Oršić, J., “Comparative Study on WRF Model Simulations from the Viewpoint of Optimum Ship Routing”, Ocean Engineering, Vol.207, pp.1-13, 107309, April, 2020(Impact Factor: 3.068)DOI: 10.1016/j.oceaneng.2020.107309