Dr. Meiling He | Network Design Award | Best Researcher Award
Dr. Meiling He, Jiangsu University, China
Meiling He received the Ph.D. degree in logistics engineering from Southwest Jiaotong University, Chengdu, China, in 2010. She is currently an Associate Professor at the School of Automotive and Traffic Engineering, Jiangsu University. She has published over 30 technical papers in international journals and conferences. Her current research interests include logistics system planning, transportation system optimization, and reverse logistics.
🌐 Professional Profile:
🎓 Education & Academic Journey
Dr. Meiling He earned her Ph.D. in logistics engineering from Southwest Jiaotong University in 2010, focusing on advancing transportation and logistics systems. Her academic journey has laid a robust foundation in optimizing complex logistical frameworks.
🏢 Current Role & Affiliation
Currently serving as an Associate Professor at Jiangsu University’s School of Automotive and Traffic Engineering, Dr. He brings extensive expertise to her teaching and research endeavors. Her academic home fosters innovation in automotive and traffic engineering disciplines.
📄 Research Contributions
Dr. He has made significant contributions to the field, publishing over 30 papers in esteemed international journals and conferences. Her research spans logistics system planning, transportation system optimization, and the intricacies of reverse logistics, addressing critical challenges in modern supply chain management.
🔍 Research Interests & Focus
Her current research interests encompass the strategic planning and optimization of logistics systems, aiming to enhance efficiency and sustainability in transportation networks. Dr. He’s work is instrumental in shaping future advancements in logistics engineering.
Publication Top Notes:
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A novel multi-level reverse logistics network design optimization model for waste batteries considering facility technology types
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Year: 2024
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Designing a Reverse Logistics Network for End-of-Life Vehicles in an Uncertain Environment
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Year: 2024
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Evaluating and Analyzing the Efficiency and Influencing Factors of Cold Chain Logistics in China’s Major Urban Agglomerations under Carbon Constraints
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Year: 2024
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Optimization of Electric Vehicle Routes Considering Multi-Temperature Co-Distribution in Cold Chain Logistics with Soft Time Windows
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Year: 2024
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An Adaptive Variable Neighborhood Search Ant Colony Algorithm for Vehicle Routing Problem With Soft Time Windows
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Year: 2021
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