Prof. Linglin Ni is a professor in the Department of Logistics Management at Beijing Wuzi University. She holds a Ph.D. in Logistics Engineering from Central South University and has completed postdoctoral research at Zhejiang University. As a visiting scholar at Rensselaer Polytechnic Institute, she gained international experience in logistics and data analysis. Her research focuses on big data analysis, logistics network optimization, and transportation econometrics. With over 15 years of teaching experience, Prof. Ni has earned accolades such as the Excellent Teacher Award and actively contributes to professional organizations, including the China Society of Logistics.
Education
- Linglin Ni, Ph.D., has a distinguished academic background. She completed her Ph.D. in Logistics Engineering at Central South University (2008–2012), following a Master’s degree in Management Science and Engineering (2002–2005) and a Bachelor’s degree in Transportation and Traffic Engineering (1998–2002) at the same institution. Additionally, she pursued postdoctoral studies at Zhejiang University and gained international exposure as a visiting scholar at Rensselaer Polytechnic Institute during 2014–2015 and 2018–2019.
Experience
- Prof. Linglin Ni currently serves as a full-time faculty member in the Department of Logistics Management at Beijing Wuzi University, a role she has held since August 2022. Prior to this, she spent over 15 years as a faculty member at Zhejiang University of Finance & Economics, Hangzhou, where she contributed significantly to teaching and research in logistics and related fields. Her teaching portfolio includes courses such as Logistics, ERP Sand Table Simulation, Distribution and Distribution Center, Consumer Behavior, and Operations Research.
Honors and Awards
- Prof. Ni has been recognized for her outstanding contributions to academia and student mentorship. She was named Excellent Teacher of Zhejiang University of Finance & Economics in 2010–2011 and received the Excellent Tutor Award during 2011–2012. Additionally, she secured the First Prize in the Zhejiang Final of the Eighth National College “UF Cup” Contest of ERP Sand Table Simulation Operation in 2012.
Skills and Certifications
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Prof. Ni is proficient in logistics management, supply chain optimization, and ERP simulation, with hands-on expertise in teaching and guiding students in these domains. She is an active member of the China Society of Logistics, Zhejiang Association of Supply Chain, and Zhejiang Express Industry Association, further reflecting her professional commitment to the field of logistics and supply chain management.
Research Focus
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Prof. Ni’s research interests lie at the intersection of logistics and advanced analytics. Her primary areas of focus include big data analysis, optimization of logistics networks, and the econometrics of transportation. Through her work, she contributes to the advancement of efficient logistics systems and transportation solutions.
Conclusion
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Prof. Ni’s expertise, combined with her professional achievements, positions her as a deserving candidate for the “Research for Best Researcher Award.” Her contributions to logistics education, research, and optimization solutions exemplify the qualities the award seeks to honor. Recognizing her achievements would not only validate her impact but also inspire further advancements in the logistics and transportation sectors.
Publications
- Using a spatial autoregressive model with spatial autoregressive disturbances to investigate origin-destination trip flows
Authors: Ni, L., Zhang, D.
Journal: PLoS ONE, 2024, 19(6 June), e0305932 - Exploring the influence of relative attractiveness in green spaces on urban movements: A potential to kinetic energy framework
Authors: Ni, L., Zhang, D., Yang, Y., Huang, J.
Journal: Journal of Cleaner Production, 2024, 434, 139850 - Analyzing time-varying trip distributions with a random-effect spatial OD dependence model
Authors: Ni, L., Wang, X., Chen, X., Zhang, D.
Journal: PLoS ONE, 2023, 18(1 January), e0280162 - Investigating Travel Flow Differences between Peak Hours with Spatial Model with Endogenous Weight Matrix Using Automatic Vehicle Identification Data
Authors: Zhou, Y., He, Z., Chen, J.-Y., Ni, L., Dong, J.
Journal: Genetics Research, 2022, 2022, 7729068 - The impact of intercity economic complementarity on HSR volume in the context of megalopolization
Authors: Hu, X., Wang, X.C., Ni, L., Shi, F.
Journal: Journal of Transport Geography, 2022, 98, 103222
Prof. Ni Linglin | Transportation | Best Researcher Award