丁一

发布时间：2020-11-17浏览次数：11897

丁一，上海海事大学教授/博导，数智化港航技术研究中心负责人，上海交通大学交通系兼职博导，专注于港航物流运作优化和信息化领域，相关领域在学术和行业有重大贡献，相关领域发表50余篇核心期刊论文，其中在INFORMS等高影响力的SCI期刊上发表论文20余篇，出版2本学术专著（独著），取得30余项发明专利等知识产权。主持了多项国家级和省部级重点项目，有大型科研和研发团队管理经验，主持多项大型港口智能化和数字化改造项目，近两年负责的港航物流系统研发和科研项目经费超3000万。构建“1+4”数智化港口底座技术，研发的港航AI、数字孪生和大数据系统应用到上港集团、中远海运港口等知名港航企业，助力打造上港智慧指挥中心、集运孪生MaaS平台，实现港口行业的“一网统管、一网通办”；数字孪生管控“中国方案”助力中远海运秘鲁钱凯港打造南美首座智慧港口，得到光明日报、文汇报、交通强国、上观新闻等报道，助力中远海运港口全球“碳达峰”战略。相关成果获得中国港口协会科技进步特等奖，中国物流与采购联合会科技进步一等奖，中国航海学会科学技术一等奖等。推动智慧港航领域标准化建设工作，担任全国信息技术标准化技术委员会人工智能分委会副组长单位负责人。积极推进产学研融合教学和实验室建设，推进建立了上海市产教融合试点基地，获得上海市教学成果特等奖。

博士研究生(博士后）招生：

上海海事大学数智化港航技术研究中心致力于研发运用人工智能、数字孪生、机器视觉与运筹优化等技术，开展港航关键环节的智能化改造。中心现拥有科研人员50余人，持有知识产权30余项，承担多项国家级、省部级重点项目，并与上海港、中远海运等多家大型央国企保持长期深度合作，具备扎实的科研基础与丰富的产业资源平台。

中心现面向海内外招收博士研究生和博士后工作人员，申请人应具备扎实的理论基础、良好的科研素养与工程实践能力，以及积极主动的沟通协作精神，计算机科学与技术、人工智能等相关学科背景的申请者优先考虑。团队可以提供博士研究生（博士后）如下资源：

科研平台与条件：

（1）依托上海海事大学优势学科与科研平台，提供良好的实验环境与计算资源。

（2）可使用中心已建成的港航智能化系统、仿真平台与真实业务数据资源。

（3）拥有30余项自主知识产权和成熟技术成果，可开展持续深入研究与二次创新。

项目与产业资源：

（1）参与多项国家级、省部级重点科研项目，研究课题前沿性强、应用场景明确。

（2）与上海港、中远海运等多家大型央国企保持长期深度合作，具备丰富的实际应用场景与试点条件。

（3）有机会直接参与行业标准研究、系统示范应用与成果转化工作。

学术支持与发展环境：

（1）由经验丰富的导师团队提供全程科研指导与学术支持。

（2）鼓励并支持博士生和博士后参加国内外高水平学术会议与学术交流。

（3）支持发表高水平学术论文、申请发明专利和软件著作权。

待遇与保障：

（1）提供具有竞争力的博士生津贴和博士后薪酬，并根据科研绩效动态激励。

（2）博士后可按政策申请各级博士后基金、人才计划及科研启动经费。

（3）在科研成果突出情况下，优先推荐申报各类人才项目、合作单位发展的机会。

硕士研究生招生：

（1）拥有计算机、人工智能、自动化等相关方向本科学位优先，具备扎实的理论基础与动手能力。对港航和物流方向的科学研究或技术落地感兴趣。

（2）熟练掌握JAVA或Python编程，或在报到前自行完成专业培训。

（3）熟练掌握英语沟通与写作，有托福、雅思者优先。

（4）有较强的动手和学习能力者优先。

长期招收本科生研究助理：

对于大三或大四的同学，如果你对我的研究方向感兴趣，希望通过参与项目与论文工作，为就业、毕业设计或保研积累经验，欢迎与我交流探讨可共同完成的研究课题。有意者请发送邮件，附个人简历及任何有助于我了解你的材料。

诚邀有志者加入！

邮箱：yiding@shmtu.edu.cn

一、教育经历

（1）1999年09月-2003年07月，华东师范大学，电子科学与技术专业，本科，导师：黄燕萍。

（2）2000年07月-2002年07月，东华大学，计算机科学与技术（辅修第二专业）。

（3）2003年09月-2006年02月，华东师范大学，软件工程，硕士，导师：董军。

（4）2009年09月-2012年10月，上海海事大学，物流管理与工程，博士，导师：林国龙。

（5）2011年09月-2012年02月，比利时蒙斯大学，应用数学研究所交流博士，导师：Prof.Marc Pierre。

二、科研与学术工作经历

（1）2006年06月-2009年09月，上海港务集团海渤物流软件发展有限公司，项目经理。

（2）2018年07月至今，上海咪啰信息科技有限公司（上海海事大学高校技术转移企业），总经理。

（3）2018年11月至2024年6月，德国汉堡大学信息工程系，兼职博导，合作教授：Stefan Voss。

（4）2024年6月至今，上海交通大学交通系，兼职博导。

（5）2025年01月至今，新加坡国立大学，访问学者、客座教授。

（6）2013年02月至今，上海海事大学物流研究中心，教授，博导。

三、代表性科研项目（课题）

（一）纵向：

（1）交通运输部-交通运输关键核心技术攻坚任务课题-超大型集装箱码头自动化改造数字孪生管控系统研发课题（Z20228066）-主持。[2022.01-2024.12]-321万；

（2）国家自然科学基金项目：集装箱港口多阶物流系统成本控制研究。[2014.1-2016.12]-主持（结题绩效评估为“优”）-18.5万；

（3）上海市教育委员会-上海市教委科研创新项目：人工智能促进科研范式改革赋能学科跃升计划-传统集装箱码头堆场智能化改造策略与协同作业研究（Z20258053）-主持。[2024.01-2025.12]-50万。

（二）横向：

（1）上海国际港务（集团）股份有限公司-港航纵横（上海）数字科技有限公司：上海港智慧指挥中心项目生产数字化平台数字孪生系统（H20220430，H20230246）-主持。[2022.12-2024.12]-1475万（依据《上海海事大学横向科研项目对应纵向科研项目认定暂行办法》认定为国家级重点项目）；

（2）中远海运港口有限公司：港口数字孪生综合能源管控平台（二期）-基于孪生的拟真系统和智能算法研发（H20250137）-主持。[2025.4-2025.12]-590万（依据《上海海事大学横向科研项目对应纵向科研项目认定暂行办法》认定为国家级项目）；

（3）中远海运港口有限公司：港口数字孪生综合能源管控平台（一期）项目（H20240127）-主持。[2024.3-2025.3]-292万（依据《上海海事大学横向科研项目对应纵向科研项目认定暂行办法》认定为省部级项目）；

（4）上海振华重工（集团）股份有限公司：面向数字化集成创新的自动化港口链主工业互联网平台（H20240255）-主持。[2024.06-2025.02]-51万；

（5）厦门远海集装箱码头有限公司：厦门远海集装箱码头智能配载系统（第一阶段，第二阶段）（H20220076，H20240002）-负责人。[2022.05-2025.01]-146.5万；

（6）上海国际港务（集团）股份有限公司-上海海勃物流软件有限公司：上海港大数据平台咨询服务（H20220014）-主持。[2021.11-2023.10]-57万（依据《上海海事大学横向科研项目对应纵向科研项目认定暂行办法》认定为省部级项目）。

（三）海大技术转移企业立项

（1）北京中软国际信息技术有限公司：上海洋山四期全自动化智能港口营运大数据分析系统研发及服务支持-主持。[2019.12-2021.08]-269.5775万；

（2）上港集团-上海海勃物流软件有限公司：超大型自动化集装箱码头智能操作系统的示范应用-ITOS算法评测框架研发（该项目属于上港集团承担国研发计划项目2019YFB1704405）-主持。[2021.10-2022.10]-248万；

（3）辽港集团-大连口岸物流科技有限公司：集装箱码头数字可视化系统-主持。[2021.10]-200万；

（4）上港集团-哪吒港航智慧科技（上海）有限公司：南通港吕四集装箱码头数字孪生系统-主持。[2021.11-2022.01]-190万；

（5）上港集团-上海海勃物流软件有限公司：上港集团安全防控平台可视化展示-主持。[2023.11-2023.12]-165万；

（6）辽港集团-大连口岸物流科技有限公司：集发南岸三维数字化可视系统-主持。[2022.09]-60万；

（7）上港集团-上海海勃物流软件有限公司：沪东码头效率与成本统计分析系统项目-主持。[2019.12]-55万；

（8）辽港集团-大连口岸物流科技有限公司：堆场数字孪生系统-主持。[2023.09]-52万

（9）上港集团-上海海勃数科技术有限公司：TOPS系统EDI一口进出项目开发服务-主持。[2024.05]-251万；

（10）招商局国际科技有限公司：集装箱码头智能船舶计划项目-主持。[2023.10]-148.3万；

（11）上港集团-哪吒港航智慧科技（上海）有限公司：TOS-C1.0码头生产业务运营大数据管控系统-主持。[2021.11-2021.12]-130万；

（12）上港集团-上海海勃数科技术有限公司：冠东集装箱码头内集卡调配算法研究与应用项目-主持。[2024.12]-98万；

（13）上港集团-上海海勃数科技术有限公司：基于码头水平机械使用情况孪生分析及码头电子地图研究应用-主持。[2024.10]-82.15万；

（14）上港集团-哪吒港航智慧科技（上海）有限公司：桥吊理货箱顶洞验残识别研发项目-主持。[2021.07-2021.12]-70万；

（15）上港集团-哪吒港航智慧科技（上海）有限公司：堆场轮胎吊箱号、车号识别研发-主持。[2021.07]-50万。

四、代表性研究成果和学术奖励情况

（一）代表性期刊论文

[1] Yi Ding, Shuai Jia，Tianyi Gu, et al. SGICT Builds an Optimization-Based System for Daily Berth Planning[J]. INFORMS Journal on Applied Analytics, 2016, 46(4)：281-296. （Q3/SCIE,SSCI）

[2] Zhichao Zhang, Yi Ding, Tiantian Zhu, et al. Digital twin-based energy efficiency evaluation for vessel operations in container terminals[J]. Transportation Research Part D: Transport and Environment, 2025.148,104978.（Q1/SSCI,SCIE）（通讯作者，学生一作）

[3] Yi Ding, Yang Yang, Leonard Heilig, et al. Deployment and retrofit strategy for rubber-tyred gantry cranes considering carbon emissions[J]. Computers & Industrial Engineering, 2021, 161. （Q1/SCIE）

[4]Zhichao Zhang, Yi Ding, Rui Li, et al. Enhancing OCR with line segmentation mask for container text recognition in container terminal[J]. Engineering Applications of Artificial Intelligence, 2024, 133. （Q1/SCIE）（第二作者，学生一作）

[5] Yi Ding, Youxuan Pan, Kaimin Chen. et al. Production-while-transformation optimization for container yard operations in traditional terminals. OR Spectrum (2026). （Online）（Q3/SCIE）

[6] Yi Ding, Kaimin Chen, Ming Tang, et al. An efficient and eco-friendly operation mode for container transshipments through optimizing the inter-terminal truck routing problem[J]. Journal of Cleaner Production, 2023, 430: 139644.（Q1/SCIE）

[7] Yi Ding, Kaimin Chen, Xujun Wei, et al. A novel cost-management system for container terminals using a time-driven Activity-Based Costing approach[J]. Ocean and Coastal Management, 2022, 217. （Q1/SCIE）

[8] Yi Ding, Kaimin Chen, Dongmin Xu, et al. Dynamic pricing research for container terminal handling charge[J]. Maritime Policy & Management, 2021, 48:4, 512-529. (Q2/SSCI)

[9] Yi Ding, Zhichao Zhang, Kaimin Chen, et al. Real-time monitoring and optimal resource allocation for automated container terminals: a digital twin application at the Yangshan Port[J]. Journal of Advanced Transportation, 2023, 6909801.（Q3/SCIE）

[10] Yi Ding, Jia Liu, Kaimin Chen, et al. Dynamic pricing research for container terminal handling charge in competitive game environment. [J] International Journal Shipping and Transport Logistics. 2025, 21(3): 407-434.（Q4/SSCI）

[11] Yi Ding, Deng Pan, Kaimin Chen, et al. Oil-to-electricity retrofitting and deployment of rubber-tyred gantry cranes considering low-carbon policies[J]. International Transactions in Operational Research. 2025,32: 3385-3412.（Q4/SCIE）

[12] Yi Ding, Xiazhong Chen, Kaimin Chen. An efficient heuristic algorithm for solving a multi-vessel quay crane scheduling problem in container terminals[J]. International Journal of Shipping and Transport Logistics,2023,16:3-4,454-477.（Q4/SSCI）

[13] Kaimin Chen, Yi Ding, Benqing Zou, et al. An Empirical Study of the Impact of COVID-19 on Container Freight Rates: Evidence from the Panel Data of China[J]. Transportation Journal, 2024, 63 (3): 171–187.（Q4/SSCI）（通讯作者）

[14] 丁一,杨阳,沙梅,林国龙.集装箱港口集卡——轮胎吊集成调度方法[J].计算机集成制造系统,2017,23(04):892-902.（EI）（中文）

[15] 丁一,刘朝德,林国龙.基于沿海捎带的轴辐式海运网络优化模型[J].中国管理科学,2015,23(S1):830-835.（CSSCI）（中文）

[16] 丁一,杨旭泽.考虑动态加权A星算法的预翻箱作业优化[J].运筹与管理,2023,32(05):36-41+48.（CSSCI）（中文）

[17] 张其娇,丁一,秦涛. 考虑冲突规避的自动化码头多AGV路径规划[J]. 计算机工程与应用,2023,59(18):301-308. （EI）（中文）

[18] 张怡,丁一,邹鹰,等.考虑外集卡等待时间的堆场空间分配研究[J]. 计算机工程与应用,2023,59(12):286-292.（EI）（中文）

（二）出版专著

[1] 丁一.集装箱港口集成资源配置和成本控制[M].上海：上海浦江教育出版社，2015.（ISBN：978-7-81121-399-7）

[2] 丁一.基于区块链的港航业务流程重构[M].上海：上海浦江教育出版社，2021.（ISBN：978-7-81121-715-5）

（三）代表性知识产权

（1）丁一，一种物流全链路一体化管控数字孪生系统，发明专利授权号：CN113222499B，2022-02-15。

（2）丁一，一种基于VR的轮胎吊实训系统及方法，发明专利授权号：CN110879660B，2023-05-26。

（3）丁一，一种5G无人机动态AI巡检系统，发明专利授权号：CN114926916B，2022-05-10。

（4）港口数字孪生PortMeta3D三维WEB引擎系统，软件著作权登记号：2023SR0509283，2023-04-28。

（5）洋四数字孪生桥吊拟真系统，软件著作权登记号：2023SR0799042，2023-07-05。

（6）大型自动化码头岸桥设备维修管理平台，软件著作权登记号：2023SR0509284，2023-04-28。

（7）大型自动化码头岸桥实时数仓建设系统，软件著作权登记号：2023SR0509184，2023-04-28。

（8）基于数字孪生的大型自动化码头岸桥实时监控系统，软件著作权登记号：2023SR0509237，2023-04-28。

（9）大型自动化码头岸桥自动报故引擎平台，软件著作权登记号：2023SR0509062，2023-04-28。

（10）集装箱码头智能配载和桥吊计划系统，软件著作权登记号：2017SR336397，2017-07-03。

（11）集团级多港口协同调度和集成资源配置平台，软件著作权登记号：2015SR051469，2015-03-24。

（四）获奖情况

（1）“基于智能体的集装箱港口能源孪生管控拟真决策平台”，2025年度中国物流与采购联合会一等奖，主要完成人（排名第四），2025；

（2）“走向世界的中国港航物流管理人才培养体系创设与实践”，2022年上海市教学成果奖特等奖，主要完成人（排名第六），2022；

（3）“自动化码头新一代智能管控系统关键技术研究与应用”，2022年度中国港口协会科学技术奖特等奖，主要完成人（排名第九），2022；

（4）“数字孪生技术在港口智能管控中的创新应用及产业化项目”，2022年度中国物流与采购联合会科技进步二等奖，主要完成人（排名第一），2022；

（5）“地下集装箱物流系统运输组织优化设计关键技术研究”，2021年度中国物流与采购联合会科技进步二等奖，主要完成人（排名第十一），2021；

（6）“集装箱港口多阶物流系统成本控制研究”，2020年度中国物流与采购联合会科技进步一等奖，主要完成人（排名第一），2020；

（7）“2017-2018年度中国航海科技期刊论文”二等奖，主要完成人（排名第一），2018；

（8）“基于大数据的集装箱枢纽港智能服务平台的研发与应用”，2017年度中国航海学会科学技术一等奖，主要完成人（排名第五），2017；

（9）“世界级超大型集装箱港口智能运营系统的研发及应用”，上海科技进步三等奖，主要完成人（排名第四），2016；

（10）“世界级超大型集装箱港口智能运营系统的研发及应用”，浦东新区科技进步一等奖，主要完成人（排名第四），2016；

（11）“集装箱码头双吊具工艺关键技术”，中国港口科技进步二等奖，主要完成人（排名第五），2016；

（12）2023年上海海事大学“刘浩清”教育优秀奖（优秀教师二等奖），2023；

（13）“上海海事大学2022年度教职工考核”，考核结果为“优秀”，2022。

Ding Yi, Professor, Doctoral supervisor

Shanghai Maritime University,

yiding@shmtu.edu.cn

Ding Yi, Shanghai Maritime University Professor/Doctoral supervisor, Part-time doctoral supervisor of the Department of Transportation, Shanghai Jiao Tong University. focusing on the field of port and logistics operation optimization and informatization, he has made significant contributions to the relevant fields in academia and the industry. He has published over 50 core journal papers, including more than 10 in high-impact SCI journals such as INFORMS. He has also authored two academic monographs (as a sole author) and obtained over 30 invention patents and other intellectual property rights. He has presided over a number of national and provincial key projects, and has experience in managing large scientific research and R&D teams. He has presided over a number of intelligent and digital transformation projects of large ports. In the past two years, the research and development and scientific research project funds for the port and shipping logistics system in charge have exceeded 30 million yuan.

The "1+4" digital and intelligent port infrastructure technology has been constructed. The developed port AI, digital twin and big data systems have been applied to port and shipping enterprises such as Shanghai International Port (Group) Co., Ltd. and COSCO Shipping Ports, helping to build the Shanghai Port's smart command center and Container truck transportation MaaS1.0 port digital twin platform, and achieving "one network for all management and one network for all services" of the port industry. The "Chinese Solution" for digital twin management and control has helped COSCO Shipping's Qiankai Port in Peru build the first smart port in South America. It has been reported by Guangming Daily, Wenhui Daily, Transportation Power, and Shanghai Observer, among others. At the same time, it contributes to COSCO Shipping Ports' global "carbon peak" strategy.

The related achievements have won the Special Prize for Scientific and Technological Progress of the China Ports & Harbours, the First Prize for Scientific and Technological Progress of the China Federation of Logistics and Purchasing, the First Prize for Science and Technology Progress of the China Institute of Navigation, etc.He also promoted the standardization construction in the field of smart port and shipping, and served as the deputy leader of the artificial intelligence Sub-committee of the National Information Technology Standardization Technical Committee. He actively promote the integration of industry, academia and research in teaching and laboratory construction, and have established a pilot base for industry-education integration in Shanghai, winning the Special Prize of Shanghai Teaching Achievements

I. Educational experience

(1) 1999/07-2003/07, East China Normal University, majoring in electronic science and technology, supervisor: Huang Yanping

(2) 2000/07-2002/07, Donghua University, Computer Science and Technology (second minor)

(3) 2003/09-2006/02, East China Normal University, Master of Software Engineering, Supervisor: Jun Dong

(4) 2009/07-2012/10, Shanghai Maritime University, PhD in Logistics Management and Engineering (Full-time), Supervisor: Lin Guolong

(5) 2011/09-2012/02, University of Mons, Belgium, PhD exchange at the Institute of Applied Mathematics, supervisor: Prof. Marc Pierre

II. Research and academic work experience

(1) 2006/06-2009/09, Shanghai Port Group Harbor e-Logistics software Co., Ltd., Project Manager.

(2) 2018/07-present, Shanghai Miluo Information Technology Co., LTD. (University technology transfer enterprise of Shanghai Maritime University) , Project Manager.

(3) 2018/02-2019.2, University of Hamburg, Germany, Department of Information Engineering, Guest Professor, Part-time doctoral supervisor, Co-Professor: Stefan Voss

(4) 2024/06-present, Shanghai Jiao Tong University, Department of Transportation, Part-time doctoral supervisor.

(5) 2025/01-present, National University of Singapore, Visiting Scholar and Guest Professor.

(6) 2013/02-present, Shanghai Maritime University, Logistics Research Centre, Professor, Doctoral supervisor.

III. Representative scientific research projects (topics)

(i) National projects:

（1） Ministry of Transport-Transportation Key Core Technology Tackling Tasks: R&D Project of Digital Twin Management and Control System for Automation Transformation of Ultra-large Container Terminal (Z20228066)-Person in Charge. [2022.01-2024.12]-3.21 million RMB;

（2） National Natural Science Foundation of China (NSFC) Project: Research on Cost Control of Multi-Order Logistics System in Container Ports. [2014.1-2016.12] - person in charge (final performance evaluation "excellent") - 185,000 RMB;

（3） Shanghai Education Commission-Scientific Research and Innovation Project: Artificial Intelligence Promotes the Reform of Scientific Research Paradigms and Empowers the Leapfrog development of disciplines - Research on Intelligent Transformation Strategies and Collaborative Operations of Traditional Container Terminal Yards（Z20258053）-Person in Charge. [2024.01-2025.12]-500,000 RMB；

（4） Ministry of Science and Technology (MOST)-National Key Research and Development Programme (NKRDP): digital twin system for ultra-large container terminals based on multi-dimensional full-process simulation (Z20208014)-Ranked 2nd. [2019.12-2022.11] - 1.33 million RMB;

（5） National Natural Science Foundation of China (NSFC)-National Natural Science Foundation of China (NSFC) Facial Project: Modeling and scenario simulation of multi-equipment integrated scheduling for container terminals considering energy conservation, emission reduction and operational efficiency（Z20198045）-Participant[2020.01-2023.12]-480,000 RMB；

（6） National Natural Science Foundation of China (NSFC)-National Natural Science Foundation of China (NSFC) Facial Project: research on multi-resource allocation and scheduling problem of container terminal yard based on centralised hosting strategy (20170392)-Ranked 7th. [2018.01-2021.12]-470,000 RMB;

（7） National Natural Science Foundation of China (NSFC) Project: Decomposition and Coordination Modelling of Large Container Port Yard System - Ranked Third. [2011.1-2013.12]-270,000 RMB;

（8） National Natural Science Foundation of China (NSFC) Project: research on coupled coordination model of system operation of large container port handling equipment-ranked second. [2015.1-2018.12]-610,000 RMB;

（9） National Natural Science Foundation of China (NSFC) Project: temporal and spatial synchronisation strategies and optimisation methods for automated container terminal loading and unloading operations - Ranked 3rd. [2015.1-2018.12]-600,000 RMB.

(ii) Corporate commissioned projects:

（1） Shanghai International Port (Group) Co. Ltd.-Port and Maritime (Shanghai) Digital Technology Co. Ltd: Digital Twin System for Production Digital Platform of Shanghai Port Intelligent Command Centre Project (H20220430，H20230246) - Person in Charge. [2022.12-2024.06](Identified as a National key project according to the "Interim Measures for the Recognition of Horizontal Research Projects Corresponding to Vertical Research Projects of Shanghai Maritime University")

（2） COSCO SHIPPING Ports Limited-Shanghai COSCO Shipping Port Investment Co., LTD:Port Digital Twin Integrated Energy Management and Control Platform (Phase II) - Development of simulation system and intelligent algorithm based on Twin（H20250137）-Person in Charge. [2025.4-2025.12] (Identified as a National project according to the "Interim Measures for the Recognition of Horizontal Research Projects Corresponding to Vertical Research Projects of Shanghai Maritime University")

（3） COSCO SHIPPING Ports Limited- Shanghai COSCO Shipping Port Investment Co., LTD: Port Digital Twin Integrated Energy Management and Control Platform (Phase I)（H20240127）-Person in Charge. [2024.3-2025.3] (Identified as a Provincial project according to the "Interim Measures for the Recognition of Horizontal Research Projects Corresponding to Vertical Research Projects of Shanghai Maritime University")

（4） Shanghai International Port (Group) Co. Ltd.: Container truck transportation MaaS1.0 Port Digital Twin (Waigaoqiao Terminal Phase IV and Phase V and surrounding) pilot project-Person in Charge.

（5） Shanghai Zhenhua Heavy Industry (Group) Co., Ltd.: An automated port chain leader industrial Internet platform for digital integrated innovation（H20240255）-Person in Charge. [2024.06-2025.02]

（6） Xiamen Ocean Gate Container Terminal Co., Ltd.: Xiamen Ocean Gate Container Terminal Intelligent Allocation System (Phase I and Phase II) Project (H20220076，H20240002) - Person in Charge. [2022.05-2022.07]

（7） Shanghai International Port (Group) Co. Ltd.-Shanghai Harbor e-Logistics software Co., Ltd.: Shanghai Port Big Data Platform Consultancy Service (H20220014)-Person in Charge. [2021.11-2022.06] (Identified as a Provincial project according to the "Interim Measures for the Recognition of Horizontal Research Projects Corresponding to Vertical Research Projects of Shanghai Maritime University")

（8） Dalian Port Logistics Network Co., Ltd: Liaogang DCT Container Terminal Digital Visualisation System - Person in Charge. [2021.9-2022.12]

（9） Dalian Port Logistics Network Co., Ltd:3D Digital Visualisation System for Dangerous Goods Yard in South Bank - Person in Charge. [2021.9-2022.12]

（10） Nezha Harbour Intelligence Technology Co Ltd (Shanghai Port Group): Digital Twin and Big Data Operation System for Nantong Lvsi Container Terminal - Person in Charge. [2021.9-2022.8]

（11） Shanghai International Port (Group) Co. Ltd: Container Terminal Big Data Control and Decision Support System-Person in Charge. [2015.7-2016.4]

（12） Shanghai International Port (Group) Co Ltd: Functional Requirements Development for Automated Terminal Production Operation Task Optimisation Module - Person in Charge. [2017.6-2017.12]

（13） Shanghai International Port (Group) Co Ltd: Automatic Bridge Crane Operation Planning and Allocation System for Container Ships - Person in Charge. [2015.6-2016.12]

（14） Shanghai International Port (Group) Co Ltd: Container Terminal Operation Management System (TOPS5.0) Functional Upgrade Project - Decision Support Module Integration Research and Development (Phase I) - Person in Charge. [2016.4-2021.12.30]

（15） Shanghai International Port (Group) Co Ltd: Container Terminal Whole Process Efficiency Analysis and Data Control System - Person in Charge. [2016.10-2021.12]-550,000

（16） Shanghai Yitong International Co Ltd: Container Management Data Analysis System Development - Person in Charge. [2017.5-2021.12]

（17） Shanghai Harbor e-Logistics software Co., Ltd. (Shanghai Port Group): Shengdong Terminal Automatic Allocation System Promotion Project - Person in Charge. [2017.12-2021.12]

（18） Shanghai Yitong International Co Ltd: survey and analysis on the trend of big data application in electronic port-Person in Charge. [2017.3-2018.9]

（19） Shanghai Zhenhua Heavy Industry (Group) Co., Ltd.: Automated Container Terminal Efficiency Analysis and Data Control System - Person in Charge.

（20） Shanghai International Port (Group) Co., Ltd: Container Terminal Vessel Operation Automatic Sequencing and Process Configuration System - Person in Charge.

（21） Shanghai International Port (Group) Co., Ltd: R&D Application of Intelligent Automated Allocation System for Container Terminal - Person in Charge.

IV. Representative research results and academic awards

(i) Representative journal articles

[1] Yi Ding, Shuai Jia，Tianyi Gu, et al. SGICT Builds an Optimization-Based System for Daily Berth Planning[J]. INFORMS Journal on Applied Analytics, 2016, 46(4)：281-296. （Q3/SCIE,SSCI）

[5] Yi Ding, Youxuan Pan, Kaimin Chen. et al. Production-while-transformation optimization for container yard operations in traditional terminals. OR Spectrum (2026). （Online）（Q3/SCIE）

[8] Yi Ding, Kaimin Chen, Dongmin Xu, et al. Dynamic pricing research for container terminal handling charge[J]. Maritime Policy & Management, 2021, 48:4, 512-529. (Q2/SSCI)

[10] DING Yi, YANG Yang, SHA Mei, et al. Integrated methodology for scheduling of yard cranes and internal trucks in container terminal [J]. Computer Integrated Manufacturing Systems,2017,23(04):892-902. (EI) (Chinese)

[11] DING Yi, LIU Zhaode, LIN Guolong. An Optimizing Model of Hub-and-spoke Shipping Network Considering Maritime Cabotage[J]. Chinese Journal of Management Science,2015,23(S1):830-835. (CSSCI) (Chinese).

[12] DING Y, YANG Xuze. A Dynamic Weighted A* Algorithm for the Pre-marshalling Problem [J]. Operation Research and Management Science,2023,32(05):36-41+48. (CSSCI) (Chinese)

[13] ZHANG Qijiao, DING Yi, QIN Tao. Multi-AGVs path planning of automated terminal considering conflict avoidance[J]. Computer Engineering and Applications,2023,59(18):301-308. (EI) (Chinese)

[14] ZHANG Yi, DING Yi, ZOU Ying, et al. Research on Space Allocation of Yard Considering Waiting Time of External Container Yard[J]. Computer Engineering and Applications,2023,59(12):286-292. (EI) (Chinese)

(ii) Publication of monographs

[1] Ding Y. Integrated Resource Allocation and Cost Control in Container Ports [M]. Shanghai: Shanghai Pujiang Education Press, 2015. (ISBN: 978-7-81121-399-7)

[2] Ding Y. Business process reconstruction of port and shipping based on blockchain [M]. Shanghai: Shanghai Pujiang Education Press, 2021. (ISBN: 978-7-81121-715-5)

(iii) Representative intellectual property rights

(1) Ding Yi, A Logistics All-Link Integrated Control Digital Twin System, invention patent granted No. CN113222499B, 2022-02-15.

(2) Ding Yi, A VR-based Practical Training System and Method for Tyre Crane, invention patent granted No. CN110879660B, 2023-05-26.

(3) Ding Yi, A 5G Unmanned Aerial Vehicle Dynamic AI Inspection System, invention patent granted No. CN114926916B, 2022-05-10.

(4) PortMeta3D 3D WEB Engine System for Port Digital Twins, Software Copyright Registration No. 2023SR0509283, 2023-04-28.

(5) Yanshan Phase IV Digital Twin Quay Crane Simulation System, Software Copyright Registration No. 2023SR0799042, 2023-07-05.

(6) Maintenance Management Platform for Quay Crane Equipment of Large Automated Terminals, Software Copyright Registration No. 2023SR0509284, 2023-04-28.

(7) Real-time Counting Warehouse Construction System for large-Scale Automated Terminal Quay Crane, Software Copyright Registration No. 2023SR0509184, 2023-04-28.

(8) Real-time Monitoring System for Quay Crane of Large Automated Terminal based on Digital Twin, Software Copyright Registration No. 2023SR0509237, 2023-04-28.

(9) Platform for Automatic Fault Reporting Engine for Large Automated Terminals Quay Crane, Software Copyright Registration No. 2023SR0509062, 2023-04-28.

(10) Container Terminal Intelligent Allocation and Quay Crane Planning System, Software Copyright Registration No. 2017SR336397, 2017-07-03.

(11) Group-level multi-port collaborative scheduling and integrated resource allocation platform, Software Copyright Registration No. 2015SR051469, 2015-03-24.

(iv) Awards

(1) “Agent-based Simulation Decision-making Platform for Energy Digital Twin Management and Control in Container Ports”, 2025 China Federation of Logistics and Purchasing First Prize, Main Completer (Ranked Fourth), 2025；

(2) “Creation and Practice of Talent Cultivation System for Chinese Port, Shipping and Logistics Management Towards the World”, 2022 Shanghai Teaching Achievement Award Special Prize, Main Completer (Ranked Sixth), 2022;

(3) “Research and Application of Key Technology of New Generation Intelligent Management and Control System for Automated Terminals”, 2022Science and Technology Award of China Ports and Harbours Association Special Prize, Main Completer (Ranked Ninth), 2022;

(4) “Innovative Application and Industrialization Project of Digital Twin Technology in Port Intelligent Control”, 2022 China Federation of Logistics and Purchasing Scientific and Technological Progress Second Prize, Main Completer (Ranked First), 2022;

(5) “Research on Key Technologies for Optimal Design of Transportation Organisation of Underground Container Logistics System”, 2021 Scientific and Technological Progress of China Federation of Logistics and Purchasing Second Prize, Main Completer (Ranked 11th), 2021;

(6) “Research on Cost Control of Multi-Order Logistics System in Container Ports”, 2020 Science and Technology Progress of China Federation of Logistics and Purchasing First Prize, Main Completer (Ranked First), 2020;

(7) Second Prize of “2017-2018 Chinese Nautical Science and Technology Journal Papers”, Main Completion (Ranked First), 2018;

(8) “Research, Development and Application of Container Hub Port Intelligent Service Platform Based on Big Data”, 2017 First Prize of Science and Technology of China Institute of Navigation, Main Completer (Ranked Fifth), 2017;

(9) “R&D and Application of Intelligent Operation System for World-Class Ultra-Large Container Ports”, 2016 Shanghai Science and Technology Progress Third Prize, Main Completer (Ranked Fourth), 2016;

(10) “R&D and Application of Intelligent Operation System for World-Class Ultra-Large Container Ports”, 2016 Scientific and Technological Progress of Pudong New Area First Prize, Main Completer (Ranked Fourth), 2016;

(11) “Key Technology of Double Spreader Process in Container Terminal”, 2016 China Port Scientific and Technological Progress Second Prize, Main Completer (Ranked Fifth), 2016;

(12) “Liu Haoqing” Educational Excellence Award (Second Prize for Outstanding Teachers), Shanghai Maritime University, 2023;

(13) “Shanghai Maritime University Faculty and Staff Appraisal for the Year 2022”, the result of the appraisal is “excellent”, 2022.