Kunihiro Hamada

Last Updated :2025/06/16

Affiliations, Positions
Graduate School of Advanced Science and Engineering, Professor
E-mail
hamadanaoe.hiroshima-u.ac.jp

Basic Information

Academic Degrees

  • Doctor of Engineering, The University of Tokyo

Educational Activity

  • [Bachelor Degree Program] School of Engineering : Cluster 1(Mechanical Systems, Transportation, Material and Energy) : Program of Transportation Systems
  • [Master's Program] Graduate School of Advanced Science and Engineering : Division of Advanced Science and Engineering : Transportation and Environmental Systems Program
  • [Doctoral Program] Graduate School of Advanced Science and Engineering : Division of Advanced Science and Engineering : Transportation and Environmental Systems Program

Research Fields

  • Engineering;Integrated engineering;Naval and maritime engineering

Research Keywords

  • Shipbuilding
  • Ocean Engineering
  • Design
  • Manufacturing
  • Logistics
  • System　engineering
  • Information technology

Educational Activity

Course in Charge

  1. 2025, Liberal Arts Education Program1, 4Term, Science of Vehicle and Transportation
  2. 2025, Liberal Arts Education Program1, 1Term, Introductory Seminar for First-Year Students
  3. 2025, Undergraduate Education, Second Semester, Transportation Systems Project
  4. 2025, Undergraduate Education, 3Term, Design of large scale systems
  5. 2025, Undergraduate Education, 2Term, Transportation Vessels and Vehicles III
  6. 2025, Undergraduate Education, 4Term, Project Management
  7. 2025, Undergraduate Education, Year, Graduation Thesis
  8. 2025, Graduate Education (Master's Program) , 1Term, Special Exercises on Transportation and Environmental Systems A
  9. 2025, Graduate Education (Master's Program) , 2Term, Special Exercises on Transportation and Environmental Systems A
  10. 2025, Graduate Education (Master's Program) , 3Term, Special Exercises on Transportation and Environmental Systems B
  11. 2025, Graduate Education (Master's Program) , 4Term, Special Exercises on Transportation and Environmental Systems B
  12. 2025, Graduate Education (Master's Program) , Year, Special Study on Transportation and Environmental Systems
  13. 2025, Graduate Education (Master's Program) , 3Term, System Planning
  14. 2025, Graduate Education (Doctoral Program) , Year, Special Study on Transportation and Environmental Systems
  15. 2025, Graduate Education (Master's Program) , First Semester, AI Applications in Maritime and Ocean Studies

Award of Education

  1. 2014/08/30, Besｔ Presentation Award, Japanese Society of Engineering Education

Research Activities

Academic Papers

  1. Development of Marine Accident Probability Prediction Model in Small Ships Accident-Prone Areas in Japan, Proc of TEAM2024, 20240925
  2. Application of Natural Language Processing to Shipyard Data-Design Flaw Extraction from the Defect Report Correction using BERT-, Proc of TEAM2024, 20240925
  3. A Study on the Demand Forecasting of Ship Using Ship Allocation Simulator, Proc of TEAM2024, 20240925
  4. A case study on CNN-based Drawing Check AI, Proc of TEAM2024, 20240925
  5. Model Development for evaluating the impact of Greenhouse Gas Reduction Measures in International Shipping, Proc. of T-LOG2024, 20240805
  6. Quality Evaluation and Feature Analysis of Commercial Vessel Movement Data, Journal of JASNAOE, 41, 202506
  7. A Study on Modularization and Optimization of Container Vessel Structure to Improve the Efficiency of Inquiry Design, Journal of JASNAOE, 41, 105-112, 202506
  8. Development of marine accident probability prediction model for pleasure boats using ship accident database in central part of Seto Inland Sea, OCEAN ENGINEERING, 322, 20250401
    Link to Paper Search Results by DOI
  9. Global Pipe Optimization for Ship Engine Room, JOURNAL OF MARINE SCIENCE AND ENGINEERING, 12(10), 202410
    Link to Paper Search Results by DOI
  10. Prediction of water quality in the Seto Inland Sea by a machine learning method, WETNAOE2023, 20231109
  11. Prediction of the Probability of Marine Accidents Occurring for Small-Size Ship in the Central Seto Inland Sea, WETNAOE2023, 20231109
  12. Development of Marine Accidents Probability Prediction Model of Small-Size Ship by Using Ship Accident Database in the Central Seto Inland Sea, Proc of PAAMES2023, 20231018
  13. A digital twin for ship structures-R&D project in Japan, DATA-CENTRIC ENGINEERING, 5, 2024
    Link to Paper Search Results by DOI
  14. Application of coastal acoustic tomography: calibration of open boundary conditions on a numerical ocean model for tidal currents, FRONTIERS IN MARINE SCIENCE, 11, 20240319
    Link to Paper Search Results by DOI
  15. Comprehensive Evaluation of Vessel Movement Data Reliability, Proceedings of The 9th International Conference on Transportation & Logistics, 20220918
  16. Development of a Shipping Market Forecasting System Using Vessel Movement Data and its Practical Application, Proceedings of the 20th International Conference on Computer Applications in Shipbuilding (ICCAS2022), 20220913
  17. An expanded application of Basic Ship-Planning Support System using Big Data in Maritime Logistics for Panamax and Capesize Dry Bulk Carriers, Proceedings of the 20th International Conference on Computer Applications in Shipbuilding (ICCAS2022), 20220913
  18. A Study on the Shipping Market Forecasting of Cape Size Bulk carrier Using Big Data of Maritime Logistics, Japan Society of Logistics and Shipping Economics, 56, 1-9, 202209
  19. Automatic Detection of Floating Macroalgae via Adaptive Thresholding Using Sentinel-2 Satellite Data with 10 m Spatial Resolution, REMOTE SENSING, 15(8), 202304
    Link to Paper Search Results by DOI
  20. Reconstruction of horizontal tidal current fields in a shallow water with model-oriented coastal acoustic tomography, FRONTIERS IN MARINE SCIENCE, 10, 20230203
    Link to Paper Search Results by DOI
  21. Automated Pipe Routing Optimization for Ship Machinery, JOURNAL OF MARINE SCIENCE AND APPLICATION, 21(2), 170-178, 202206
    Link to Paper Search Results by DOI
  22. Study on Shipbuilding Workers Operation Classification Using Machine Learning with Minimal Sensor Modules, Proc. of TEAM 2020/21, 20211206
  23. An Integrated Simulation of Shipping Market and Ship Operation Model to Study Future Strategy of GHG Zero Emission Vessels, Proc. of 29th Conference of the International Association of Maritime Economists (2021 IAME Conference), 20211125
  24. Long-Term Ship Position Prediction Using Automatic Identification System (AIS) Data and End-to-End Deep Learning, Proc. of 29th Conference of the International Association of Maritime Economists (2021 IAME Conference), 20211125
  25. Enhancement of a ship basic planning support system by using maritime logistics big data and its application to basic planning of bulk carrier,, Proc. of International Conference on Ships and Offshore Structures (ICSOS 2021), 20210906
  26. ★, The Development of SPEEDS (Smart Platform of Enhanced Engineering Data for Shipping and Shipbuilding) To Realize the Innovative Use of Ship 3D Data, 34, 171-184, 20211210
  27. Shipbuilding capacity optimization using shipbuilding demand forecasting model, JOURNAL OF MARINE SCIENCE AND TECHNOLOGY, 27(1), 522-540, 20220301
    Link to Paper Search Results by DOI
  28. Basic Ship-Planning Support System Using Big Data in Maritime Logistics for Simulating Demand Generation, JOURNAL OF MARINE SCIENCE AND ENGINEERING, 10(2), 20220129
    Link to Paper Search Results by DOI
  29. Long-Term Ship Position Prediction Using Automatic Identification System (AIS) Data and End-to-End Deep Learning, SENSORS, 21(21), 20211130
    Link to Paper Search Results by DOI
  30. Optimization of Module Arrangement in Ship Engine Room, JOURNAL OF SHIP PRODUCTION AND DESIGN, 37(1), 54-66, 20210217
    Link to Paper Search Results by DOI
  31. Evaluation of GHG Emission Measures Based on Shipping and Shipbuilding Market Forecasting, SUSTAINABILITY, 13(5), 20210304
    Link to Paper Search Results by DOI
  32. Evaluation of GHG emission measures based on shipping and shipbuilding market forecasting, Proc. of the 8th International Conference on Transportation and Logistics (T-LOG 2020), 20200906
  33. Evaluation of AIS data and port calling data using ship operation data of a shipping company, 28th Annual Conference of the International Association of Maritime Economists, 20200610
  34. Shipping Market Forecasting Using Deep Learning and Big Data of Maritime Logistics, Proc. of TEAM2019, 88-93, 20191014
  35. A Study on Reliability of Ship Movement Data, Proc. of TEAM2019, 58-63, 20191014
  36. The Development of SPEEDS (Smart Platform of Enhanced Engineering Data for Shipping and Shipbuilding) and innovative use of ship 3D data across borders using CADs, Proc. of ICCAS2019, CD-ROM-CD-ROM, 20190922
  37. Development of Basic Planning Support System Using Marine Logistic Big Data and its Application to Ship Basic Planning,, Proc. of PRADS2019, CD-ROM-CD-ROM, 20190922
  38. Development of automatic nesting system for shipbuilding using the branch-and-bound method, JOURNAL OF MARINE SCIENCE AND TECHNOLOGY, 24(2), 398-409, 20190601
    Link to Paper Search Results by DOI
  39. Development of the Basic Planning Support System for Tanker using Marine Logistics Big Data, Proc. of TEAM2018, 543-550, 20181015
  40. A system dynamics model for shipbuilding demand forecasting, JOURNAL OF MARINE SCIENCE AND TECHNOLOGY, 23(2), 236-252, 20180601
    Link to Paper Search Results by DOI
  41. Development of Ship Allocation Models Using Marine Logistics Data and Its Application to Bulk Carrier Demand Forecasting and Basic Planning Support, Journal of the JASNAOE, 27, 139-148, 20180601
  42. Optimization of part arrangement in engine room, Proc. of COMPIT2018, 1, 163-175, 20180514
  43. DESIGN OPTIMIZATION OF PIPING ARRANGEMENTS IN SERIES SHIPS BASED ON THE MODULARIZATION CONCEPT, INTERNATIONAL JOURNAL OF TECHNOLOGY, 9(4), 675-685, 201807
    Link to Paper Search Results by DOI
  44. Optimization of piping system arrangement in series ships using the modularization concept, Proc. of International Conference on Ship and Offshore Technology, 1, 1-9, 20171114
  45. A Study on the Improvement and Application of System Dynamics Model for Demand Forecasting of Ships, Proc. of International Conference on Computer Applications in Shipbuilding, 1, 51-60, 20170926
  46. A Study On The Support System Of Ship Basic Planning By Using Marine Logistics Big Data, Proc. of International Conference on Computer Applications in Shipbuilding, 1, 61-68, 20170926
  47. The Concept of SPEEDS (Smart Platform of Enhanced Engineering Data for Shipping and Shipbuilding) and innovative use of ship 3D data, Proc. of International Conference on Computer Applications in Shipbuilding, 2, 103-111, 20170926
  48. Development of marine logistic database using Automatic Identification System (AIS) and statistical data, Proc. of the 30th Asian-Pacific Technical Exchange and Advisory Meeting on Marine Structures, 395-402, 20161010
  49. Make or buy analysis model based on tolerance allocation to minimize manufacturing cost and fuzzy quality loss, Joint Conference of 2nd IMEC & 3rd APCOMS 2015, 114, 012082, 20151112
  50. A variation reduction allocation model for quality improvement to minimize investment and quality costs by considering suppliers' learning curve, Joint Conference of 2nd IMEC & 3rd APCOMS 2015, 114, 12083, 20151112
  51. Make or buy decision model with multi-stage manufacturing process to minimize manufacturing cost and quality loss, ICEVT and IMECE International Conference 2015, 189-193, 20151104
  52. Accuracy control of hatch cover using precise measurement technique, Proceedings of the International Conference on Computer Applications in Shipbuilding 2015, 2, 105-114, 20150929
  53. A study on system dynamics model for the demand forecasting of shipbuilding, Proceedings of the 12th International Marine Design Conference (IMDC2015), 2, 167-182, 20150521
  54. Precision Measurement for the grasp of Welding Deformation Amount of Time Series for Large-scale Industrial Products, Proc. of Joint Workshop with ISPRS WG IV/7 and WG V/4, INDOOR-OUTDOOR SEAMLESS MODELLING, MAPPING AND NAVIGATION, 153-157, 20150521
  55. Developing a plant system prediction model for technology transfer, INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 166, 119-128, 201508
    Link to Paper Search Results by DOI
  56. Shape Optimization System of Bottom Structure of Ship Incorporating Individual Mesh Subdivision and Multi-Point Constraint, INTERNATIONAL JOURNAL OF OFFSHORE AND POLAR ENGINEERING, 21(3), 209-215, 201109
    Link to Paper Search Results by DOI
  57. Simulation of ship design process by using ship structure optimization system, 15(1), 400-401, 20050801
  58. Neural Network System for Structural Evaluation and its Application to Structural Optimization, Design ＆ System conference ’04, 04(38), 231-234, 20041101
  59. Concept Study on the Next Generation Student Information System at Hiroshima University - Research and investigation for introducing Study Supporting System -, 455-456, 20040701
  60. A PDCA System for Education and its Effects in Environmental Engineering Group at Hiroshima University, 171-172, 20040701
  61. Ship inspection support system using a product model, JOURNAL OF MARINE SCIENCE AND TECHNOLOGY, 6(4), 205-215, 2002
    Link to Paper Search Results by DOI
  62. Inherent damage zone model for strength evaluation of small fatigue cracks, ENGINEERING FRACTURE MECHANICS, 68(4), 455-473, 200103
    Link to Paper Search Results by DOI
  63. Development of the Basic Planning Support System for Tanker using Marine Logistics Big Data, Proc. of TEAM2018, 543-550, 20181015
  64. Optimization of part arrangement in engine room, Proc. of COMPIT 2018, 1, 163-175, 20180514
  65. Improvement of automatic nesting system for shipbuilding by using heuristic rules, Proceedings of the 28th Asian Technical Exchange and Advisory Meeting on Marine Structure, 464-471, 20141013
  66. Development of system dynamics model for the demand forecasting of ships in consideration of short-term changes, Proceedings of the 28th Asian Technical Exchange and Advisory Meeting on Marine Structure, 522-527, 20141013
  67. A Study on the Optimization of Ship Design Process using WildCard GA,, International Conference on Computer Applications in Shipbuilding 2013, 73-82, 20130927
  68. Development of system dynamics model for the demand forecasting of ships, APCOSEC2013, CD-ROM, 20130908
  69. Partner selection with dynamic pricing under uncertainty condition in the global marketplace, Proceedings of the 10th Asia-Pacific Industrial Engineering & Management System Conference, 944-956, 20081204
  70. A quantitative model of partner selection by considering demand uncertainty, Proceesing of the Ninth International Conference on Industrial Management, 307-316, 20080917
  71. Multi-step Optimization Method and its Application to the Design of Mid-ship Section of Ship Structure, Proceedings of Third Asian-Pacific Congress on Computational Mechanics in conjunction with Eleventh International Conference on the Enhancement and Promotion of Computational Methods in Engineering and Science (APCOM 2007), CD-ROM, 20071203
  72. A Study on Size and Thickness Optimizations for the Bottom Structure of Ship, Proceedings of Third Asian-Pacific Congress on Computational Mechanics in conjunction with Eleventh International Conference on the Enhancement and Promotion of Computational Methods in Engineering and Science (APCOM 2007), CD-ROM, 20071203
  73. Optimization System of Block Division Using Genetic Algorithm and Product Model, Journal of the Japan Society of Naval Architects and Ocean Engineers, 109-118, 20071201
  74. A study on Transportation Network in Greater Mekong Subregion, 21th Asian Technical Exchange and Advisory Meeting on Marine Structure, 357-364, 20070910
  75. Shape optimization of ship structure by multiple point constraint and individual mesh sub-division techniques, Proceedings ofSecond International Conference on Computational Methods, CD-ROM, 20070404
  76. Development of optimal structure design system for mid-ship section, Proceedings ofSecond International Conference on Computational Methods, CD-ROM, 20070404
  77. Optimization System for Ship Assembling Hierarchy Using Genetic Algorithm and Product Model, Optimization System for Ship Assembling Hierarchy Using Genetic Algorithm and Product Model, 20, 220-227, 20061001
  78. Multi Objective Optimization for the Master Plan of Cooperative Assembling with Several Shipyards including Planning Risk as Objective, Proc. of the 4th International EuroConference on Computer Applications and Information Technology in the Maritime Industries, 166-180, 20050501
  79. Neural Network System with Lead Factors as Alternative Method for Structure Analysis by Finite Element Method, International Conference on Computational Methods, 867-875, 20041201
  80. Stress Modification by Post Processing Technique based on Characteristics of Finite Element Method, Transactions of The West-Japan Society of Naval Architects, 225-234, 20040801
  81. Neural Network based on Finite Element Analysis and its Application to Transversal Structural Optimization of Bulk Carrier, Transactiouns of the West-japan Society of Naval Architects, 217-228, 20030801
  82. Comparative Analysis of Shipbuilding Industries among Japan and Southeast Asian Nations, Transactions of The West-Japan Society of Naval Architects, 99-113, 20030801
  83. Multi Objective Optimization for the Master Plan of Cooperative Assembling with several Shipyards, Proc. of the 2nd International EuroConference on Computer Applications and Information Technology in the Maritime Industries, 118-132, 20030401
  84. A Study on Optimal Design Based on Zooming Finite Element Analysis with Stress Boundary Condition and Sensitivities, Transactions of The West-Japan Society of Naval Architects, 275-281, 20030301
  85. Neural Network based on Finite Element Analysis and its Application to Structural Optimization of Container Ship, Journal of the society of naval architects of japan, 661-668, 20021201
  86. A Knowledge-Review Oriented PBL “Paper Bicycle Project”, 50(6), 57-63, 20021101
  87. Master-Planning Optimization System for Cooperative Assembling with several Shipyards, 397-412, 20020901
  88. Master Planning Supporting System for Cooperative Ship Assembling, Transactions of West-Japan Society of Naval Arvhitecs, 229-239, 20020801
  89. Master Planning Optimization System for Cooperative Ship Assembling, Transactions of West-Japan Society of Naval Architects, 241-256, 20020801
  90. Studies on Ship Inspection Supporting System by the use of Product Model (3rd report: Proposition of Inspection Supporting System with Considering Uncertainness of the Inspection), Journal of the society of naval architects of japan, 439-447, 20011201
  91. Approach to Joint Design Supporting System, Proc of 7th Int. Welding Symposium, 1, 235-240, 20011101
  92. Welding Joint Model with Considering of its Corrosion to Simulate Life-cicle of Large Scale Welded Structure, Proc of 7th Int. Welding Symposium, 1, 229-234, 20011101
  93. Study on Ship Inspection Supporting System by the use of Product Model (2nd Report : Development of Inspection Supporting System to Generate Information on Corrosion and Inspection), Journal of the society of naval architects of japan, 409-418, 20001201
  94. Study of a simple sensor for stress history measurements of a structural member using a piezoelectric element, Journal of Marine Science and Technology, 5(1), 40-47, 20001001
  95. Development of High-sensitivity Sacrificial Specimen for Long-term Stress Monitoring of Structures, Journal of the Society of Naval Arichitects of Japan, 355-364, 20000601
  96. Study on Welding Models in Shipbuilding CIM, Proc of the 10th Int. Offshore and Polar Engineering Conf., 4, 464-471, 20000501
  97. Study on Simple Sensor for Stress Hiotory Measurement of Structural Member using Piezo electric Element (Part 2 Investigation on Installation of the Piezoelectric Element to Structures), Journal of the society of naval architects of japan, 343-350, 19991201
  98. Study on Ship Inspection Supporting System by the use of Product Model(1st report Development of Ship Inspection Simulator), Journal of the society of naval architects of japan, 611-619, 19991201
  99. Study on Generation Methodology of Welding Operation Information in Manufacturing System, Quarterly Journal of The Japan Welding Society, 17(4), 508-518, 19991101
  100. Modeling of Production Scheduling and Development of Shipyard Simulator, Proc of the 10th Int. Conf. on Computer Applications in Shipbuilding, 1, 247-261, 19990701
  101. Study on Frameworks for Flexible Computer Integrated Design and Manufacturing Systems, Transactions of The West-Japan Society of Naval Architects, 187-200, 19990301
  102. Study on Simple Sensor for Stress History Measurement of Structural Member using Piezoelectric Element, Journal of the Society of Naval Arichitects of Japan, 343-350, 19981201
  103. Development of sacrificial specimen for fatigue damage prediction of structures, The Proceedings of the Eighth(1998) International Offshore and Polar Engineering Conference, 4, 367-374, 19980501
  104. Development of Sacrificial Specimen for Fatigue Damage Prediction of Structures, Journal of the Society of Naval Arichitects of Japan, 705-713, 19971201
  105. Basic Studies on Design Supporting System for Offshore Structures, Proc of the 10th Int. Conf. on Computer Applications in Shipbuilding, 1, 143-157, 19971001
  106. Study on Expressing Methodology for a Product Model of Plate Structures, The University of Tokyo (Doctoral Dissertation), 19970301
  107. Design Supporting System for Shipbuilding Specially Considered for Partialization of the System, Journal of the society of naval architects of japan, 631-643, 19961201
  108. Basic Studies on Design Supporting System of Offshore Structures (Part2), Journal of the society of naval architects of japan, 621-629, 19961201
  109. Basic Studies on Design Supporting System of Offshore Structures, Journal of the society of naval architects of japan, 739-748, 19951201
  110. Basic Studies on Design of Ship Structure by Describing Relation Information, Journal of the society of naval architects of japan, 313-326, 19950601
  111. Product Definition System for Shipbuilding Including Pipe Laying, Journal of the society of naval architects of japan, 661-671, 19931201
  112. Development of Shipyard Simulator based on Petri Nets, Class NK Technical Bulletin, 17, 1-15, 1999

Publications such as books

  1. 2013, Manufacturing Technology Transfer, CRC Press, 2013, Textbook, Joint work, 216, 21

Invited Lecture, Oral Presentation, Poster Presentation

  1. Optimization of Ship Engine Room, Kunihiro HAMADA, 2024/09/30, With Invitation, Japanese, JASNAOE, WEB
  2. A study on system dynamics model for the demand forecasting of shipbuilding, Y. Wada, K. Hamada, N. Hirata, Y. Ishihara, M.D Arifin, K. Seki, 12th International Marine Design Conference, 2015/05/11, Without Invitation, English, International Marine Design Conference, Tokyo
  3. Precision Measurement for the grasp of Welding Deformation Amount of Time Series for Large-scale Industrial Products, Ryogo Abe, Kunihiro Hamada, Noritaka Hirata, Ryotaro Tamura, Nobuaki Nishi, Joint Workshop with ISPRS WG IV/7 and WG V/4, INDOOR-OUTDOOR SEAMLESS MODELLING, MAPPING AND NAVIGATION, 2015/05/21, Without Invitation, English, ISPRS WG IV/7 and WG V/4, Tokyo
  4. Accuracy control of hatch cover using precise measurement technique, Abe. R., Hamada, K., Hirata, N., Tamura, R. and Nishi,N., International Conference on Computer Applications in Shipbuilding 2015, 2015/09/29, Without Invitation, English
  5. Make or buy analysis model based on tolerance allocation to minimize manufacturing cost and fuzzy quality loss, Rosyidi, C. N., Puspitoningrum, W, Jauhari, W. A., Suhardi, B., andHamada, K., Joint Conference of 2nd IMEC & 3rd APCOMS 2015, 2015/11/12, Without Invitation, English
  6. A variation reduction allocation model for quality improvement to minimize investment and quality costs by considering suppliers' learning curve, Rosyidi, C. N., Jauhari, W. A., Suhardi, B., and Hamada, K., Joint Conference of 2nd IMEC & 3rd APCOMS 2015, 2015/11/12, Without Invitation, English
  7. Make or buy decision model with multi-stage manufacturing process to minimize manufacturing cost and quality loss, Rosyidi, C. N., Pratama, M. A., Jauhari, W. A., Suhardi, B., and Hamada, K, ICEVT and IMECE International Conference 2015, 2015/11/04, Without Invitation, English
  8. Development of marine logistic database using Automatic Identification System (AIS) and statistical data, Mohammad Danil Arifin, Kunihiro Hamada, Noritaka Hirata, Kazetaro Ouchi, 30th Asian-Pacific Technical Exchange and Advisory Meeting on Marine Structures, 2016/10/10, Without Invitation, English, Asian-Pacific Technical Exchange and Advisory Meeting on Marine Structures, Mokpo, Republic of Korea
  9. Enhancement of SPEEDS Smart Platform of Enhanced Engineering Data for Shipping and Shipbuilding, Hamada Kunihiro, Sea Japan 2018, 2018/04/13, With Invitation, English, Tokyo
  10. SPEEDS (Smart Platform of Enhanced Engineering Data for Shipping and Shipbuilding) to Realize the Innovative Use of Ship 3D Data, Kunihiro Hamada, World NAOE Forum 2018, 2018/12/10, With Invitation, English, JASNAOE, Tokyo

Awards

  1. 2010/09/17, The Tenth International Conference on Industrial Management (ICIM2010) Excellent Paper Award, Chairpersons, 10th ICIM, The Application of Periodic Review (R, T) Inventory Policy in Partner Selection under Stochastic Demand and Leadtime
  2. 2014/08/30, Best Presentation Award, Japanese Society of Engineering Education, アジアからの工学系留学生修士プログラムの開発と運営

External Funds

Acceptance Results of Competitive Funds

  1. KAKENHI, 2012, 2014
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  2. KAKENHI, Development of the design simulator for ship initial design stage in consideration of the uncertainties of the design, 2009, 2011
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  3. KAKENHI, 2006, 2008
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  4. KAKENHI, 2004, 2005
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  5. KAKENHI, 2002, 2004
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  6. KAKENHI, The proposal and development of the logical framework of an information model which realize top-down oriented design supporting, 2001, 2004
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  7. KAKENHI, Study on analysis model for simulating hot cracking phenomenon at heat affected zone of weldment, 2001, 2003
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  8. KAKENHI, The Research on Integrated Computer Aided Engineering system for Shipbuilding, 2000, 2003
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  9. KAKENHI, 2000, 2001
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  10. KAKENHI, 1998, 1998
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  11. KAKENHI, The Research on Collaborative Engineering due to Jointed Process Information, 1998, 2000
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  12. KAKENHI, STUDY ON DAMAGE TORERANT DESIGN OF SHIP STURUCTURES, 1998, 1999
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  13. KAKENHI, DEVELOPMENT OF DAMAGE MONITORING SENSORS FOR SHIP STRUCTURES, 1997, 1998
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  14. KAKENHI, The Research on Scheduling Systems in CIM for Shipbuilding, 1995, 1997
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  15. KAKENHI, 2016, 2018
  16. 2016, 2016
  17. 2017, 2017
  18. 2018, 2018
  19. KAKENHI(Grant-in-Aid for Scientific Research (B)), 2020, 2022

Social Activities

Organizing Academic Conferences, etc.

  1. 2022/09, 2022/09

History as Peer Reviews of Academic Papers

  1. 2022, Journal of Marine Science and Technology, Editor, Associate Editor