Assistant professor, at Kean University, United States.
Dr. Dan Liu is an Assistant Professor at Kean University, USA, specializing in data analytics, deep learning, and combinatorial optimization applied to freight transportation, logistics, and sustainable supply chain management. With a strong academic and research background, she has contributed significantly to advancing resilient and sustainable transportation systems through cutting-edge methodologies and interdisciplinary collaborations.
Professional Profile
Scopus
Google Scholar
Education 🎓
Dr. Liu earned her Ph.D. in Management from Northwestern Polytechnical University, China (2013), following an M.S. in Economics and Management from Xi’an Technological University (2009) and a B.S. in Mechanical Electronic Engineering from the same institution (2006). Her education laid the foundation for her expertise in optimization, data-driven logistics, and urban freight systems.
Professional Experience 💼
Before joining Kean University (2024), Dr. Liu was an Associate Professor at the University of Shanghai for Science and Technology (2021-2024) and a Research Assistant Professor (2019-2021) and Postdoctoral Fellow (2019) at Florida Atlantic University, USA. She has also served as a Visiting Professor at Eindhoven University of Technology, Netherlands (2023), collaborating on sustainable freight and logistics research.
Research Interests 🌍
Her research explores deep learning, smart logistics, and sustainable transportation, with a particular interest in freight network resilience, last-mile delivery optimization, and intermodal transport systems. She applies AI, data-driven decision-making, and optimization techniques to enhance supply chain efficiency while promoting environmental sustainability.
Awards & Honors 🏆
Dr. Liu has received several accolades, including the Shaanxi Province Science & Technology Award for collaborative product development, the Transportation Science and Technology Award (2019) for intermodal freight network design, and recognition for her work on IoT applications for autism care (2016). Her contributions in transportation planning and logistics research have earned her widespread recognition.
Top Noted Publications 📚
Predicting Freeway Traffic Crash Severity Using XGBoost‐Bayesian Network Model with Consideration of Features Interaction – Y. Yang, K. Wang, Z. Yuan, D. Liu – 79 citations, Journal of Advanced Transportation, 2022
Design of Sustainable Urban Electronic Grocery Distribution Network – D. Liu, Z. Deng, W. Zhang, Y. Wang, E.I. Kaisar – 67 citations, Alexandria Engineering Journal, 2021
Two-Echelon Vehicle-Routing Problem: Optimization of Autonomous Delivery Vehicle-Assisted E-Grocery Distribution – D. Liu, Z. Deng, X. Mao, Y. Yang, E.I. Kaisar – 63 citations, IEEE Access, 2020
Hybrid Artificial Immune Algorithm for Optimizing a Van-Robot E-Grocery Delivery System – D. Liu, P. Yan, Z. Pu, Y. Wang, E.I. Kaisar – 37 citations, Transportation Research Part E, 2021
Design and Freight Corridor-Fleet Size Choice in Collaborative Intermodal Transportation Network Considering Economies of Scale – D. Liu, Z. Deng, Q. Sun, Y. Wang, Y. Wang – 29 citations, Sustainability, 2019
Conclusion
Dr. Dan Liu is a strong candidate for the Best Researcher Award due to high-quality publications, international collaborations, and leadership in transportation and supply chain research. Strengthening citation metrics, securing major grants, and expanding interdisciplinary work could further solidify competitiveness.