معرفی
Mi Gan is an Associate Professor at the School of Transportation and Logistics, Southwest Jiaotong University, where he serves as Supervisor of Doctorate Candidates and Supervisor of Master's Candidates. He is also Dean of the Smart Logistics Big Data Application Technology Research Institute at the university. His academic career spans over a decade at Southwest Jiaotong University, with additional research experience at the University of Arizona and Northwestern University.
- PhD in Engineering, Southwest Jiaotong University and University of Arizona
- Master's in Logistics Engineering, Southwest Jiaotong University
- Bachelor's in Logistics Management, Southwest Jiaotong University
Professor Gan's research focuses on critical areas of modern logistics and transportation systems. His work centers on inland port development strategy, big data applications in logistics systems, low-carbon logistics systems, transportation network optimization, and supply chain design. He has pioneered research in new comprehensive freight systems including high-speed rail logistics, smart highway logistics, and urban rail logistics. His interdisciplinary approach combines logistics data science with sustainable and smart logistics system development, addressing pressing challenges in modern transportation infrastructure.
Professor Gan has led numerous significant research projects funded by various Chinese government agencies including the National Nature Science Foundation of China, Sichuan Province Social Science projects, and Chengdu City Soft Science Foundation. His work demonstrates a strong applied research orientation with practical implications for urban logistics planning, environmental impact assessment, and transportation network design.
- Recommended Ph.D.Supervisor
- Recommended MA Supervisor
As an academic supervisor, Professor Gan has guided 573 Master's candidates and numerous Doctoral students. He leads a research team characterized by its 'tense and lively, united and cooperative, loyal and responsible' culture. The team currently supervises 4-6 Master's students, 1-2 Doctoral students, and 1 postdoctoral researcher annually, with international collaboration including Thai Master's students and English-assisted international Doctoral students. His research group has developed into an effective learning-oriented intelligent team since its formation in 2012.
Professor Gan's laboratory work centers around the Smart Logistics Big Data Application Technology Research Institute, where he serves as Dean. His team has developed multiple patented technologies including logistics packaging solutions, transportation equipment innovations, and intelligent planning methods for intermodal transport systems. Their work bridges theoretical research with practical applications in China's evolving transportation infrastructure.
