Education:
Dr. Lingrui Kong holds a Ph.D. in Engineering from Dalian Maritime University, where she specialized in Logistics Engineering and Management as part of the university’s Double First-Class initiative under the 211 Project. She pursued her Ph.D. from September 2019 to June 2023 under the supervision of Professor Mingjun Ji. Prior to her doctoral studies, Dr. Kong completed her Bachelor of Management in Logistics Management (English Intensive) at Dalian Maritime University from September 2013 to June 2017. She graduated with a GPA of 4.1, ranking 3rd in her major, and was guaranteed admission to the graduate program due to her academic excellence.
Professional Experience:
Dr. Lingrui Kong has built a robust professional portfolio through her involvement in significant research projects and leadership roles. As a key participant in National Natural Science Foundation projects, she has contributed to advancements in mechanical scheduling for automated container terminals and the dynamic coordination of feeder vessels and trucks utilizing IoT technologies. Her work in these areas has led to the publication of several influential papers in leading academic journals. In addition to her research roles, Dr. Kong has demonstrated leadership as the project leader for critical transportation planning initiatives, such as the Bus Planning Project for Wangqing County and the Intel Customs Gate and Intersection Traffic Planning Project. In these projects, she played a pivotal role in optimizing transportation systems, collaborating with various stakeholders, and delivering actionable insights that were implemented in urban and industrial contexts. Dr. Kong’s professional experience is further highlighted by her active participation in academic symposiums, where she has presented her research and received accolades, including the Best Research Award at the 6th International Doctoral Symposium on Logistics Information Management and Service Science.
Research Interests:
Dr. Lingrui Kong’s research interests are centered on the optimization of logistics and transportation systems, with a particular focus on container terminal operations and feeder vessel scheduling. Her work delves into the complexities of logistics system simulation, where she explores innovative approaches to enhance the efficiency and effectiveness of terminal operations. Dr. Kong is particularly interested in developing advanced algorithms and optimization models that address challenges in container slot planning, truck scheduling, and automated yard management. Her research aims to contribute to the field by providing practical solutions that improve the operational performance of logistics systems in both academic and industry contexts.
Skills:
Dr. Lingrui Kong possesses a diverse and advanced skill set that supports her research and professional activities in logistics and engineering. She is proficient in programming languages such as C++, Python, and Matlab, which she utilizes to develop complex operations research models and design algorithms. Her expertise extends to operations research modeling, where she applies mathematical and computational techniques to solve optimization problems in logistics. Dr. Kong also demonstrates strong writing skills, enabling her to effectively communicate her research findings through publications and presentations. Additionally, she is highly proficient in MS Office tools, which she leverages for data analysis, report writing, and project management. Her solid English language skills, demonstrated by a CET-6 score of over 550, further enhance her ability to engage with international research communities and contribute to global academic discourse.
Conclution:
Dr. Lingrui Kong’s outstanding academic achievements, impactful research contributions, and recognition within the academic and professional communities make her a highly deserving candidate for the Best Researcher Award. Her work not only advances the field of logistics engineering and management but also demonstrates the practical application of research to solve complex logistical challenges.
Publication Tob Noted:
Integrated Optimization of Multi-Machine Scheduling and Berth Allocation in Automated Ore Terminals
- Authors: Gao, Z., Ji, M., Kong, L.
- Published in: Computers and Industrial Engineering
- Year: 2024
- Volume: 192
- Article: 110236
- Citations: 0
Scheduling of Automated Guided Vehicles for Tandem Quay Cranes in Automated Container Terminals
- Authors: Kong, L., Ji, M., Yu, A., Gao, Z.
- Published in: Computers and Operations Research
- Year: 2024
- Volume: 163
- Article: 106505
- Citations: 3
Scheduling of Automated Ore Terminal Operations Based on Fixed Inflow Rhythm
- Authors: Gao, Z., Ji, M., Kong, L., Hou, X.
- Published in: Transportation Research Part E: Logistics and Transportation Review
- Year: 2024
- Volume: 182
- Article: 103411
- Citations: 1
Financial and Logistical Service Strategy of Third-Party Logistics Enterprises in Cross-Border E-Commerce Environment
- Authors: Ji, J., Zheng, H., Qi, J., Kong, L., Ji, S.
- Published in: Sustainability (Switzerland)
- Year: 2023
- Volume: 15(8)
- Article: 6874
- Citations: 8
An Exact Algorithm for Scheduling Tandem Quay Crane Operations in Container Terminals
- Authors: Kong, L., Ji, M., Gao, Z.
- Published in: Transportation Research Part E: Logistics and Transportation Review
- Year: 2022
- Volume: 168
- Article: 102949
- Citations: 7
Joint Optimization of Container Slot Planning and Truck Scheduling for Tandem Quay Cranes
- Authors: Kong, L., Ji, M., Gao, Z.
- Published in: European Journal of Operational Research
- Year: 2021
- Volume: 293(1)
- Pages: 149–166
- Citations: 12
Integrated Optimization of Feeder Routing and Stowage Planning for Containerships
- Authors: Ji, M., Kong, L., Guan, Y.
- Published in: Soft Computing
- Year: 2021
- Volume: 25(6)
- Pages: 4465–4487
- Citations: 6