Dr. Meiling He | Network Design Award | Best Researcher Award

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:

Orcid

πŸŽ“ 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.

πŸ“„ 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.

πŸ” 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:

  • A novel multi-level reverse logistics network design optimization model for waste batteries considering facility technology types
    • Year: 2024
  • Designing a Reverse Logistics Network for End-of-Life Vehicles in an Uncertain Environment
    • Year: 2024
  • Evaluating and Analyzing the Efficiency and Influencing Factors of Cold Chain Logistics in China’s Major Urban Agglomerations under Carbon Constraints
    • Year: 2024
  • Optimization of Electric Vehicle Routes Considering Multi-Temperature Co-Distribution in Cold Chain Logistics with Soft Time Windows
    • Year: 2024
  • An Adaptive Variable Neighborhood Search Ant Colony Algorithm for Vehicle Routing Problem With Soft Time Windows
    • Year: 2021

 

 

 

 

Assoc Prof Dr. Yuchuan Fu | AI in Network | Best Researcher Award

Assoc Prof Dr. Yuchuan Fu | AI in Network | Best Researcher Award

Assoc Prof Dr. Yuchuan Fu, Xidian University, China

πŸ‘©β€πŸŽ“ Dr. Yuchuan Fu, a Ph.D. graduate in Telecommunications Engineering from Xidian University (2020), is currently an Associate Professor at Xidian University’s School of Telecommunications Engineering. She pursued joint Ph.D. studies at Carleton University, Canada, and has garnered acclaim for her 47 publications in esteemed journals and conferences, earning accolades such as the Outstanding Doctoral Thesis Award and the Best Paper Award at DIVANet’23. Her expertise lies in Artificial Intelligence for Internet of Vehicles and Intelligent Transportation Systems, with notable contributions recognized by prestigious entities like the China Electronics Education Society. Dr. Fu’s impactful research, including 2 ESI highly cited papers and 1 hot paper, underscores her commitment to advancing telecommunications. πŸ†πŸ”πŸ“š

🌐 Professional Profiles :

Scopus

Google Scholar

πŸŽ“ Education:

Dr. Yuchuan Fu received her Ph.D. degree from Xidian University, China, in Telecommunications Engineering in 2020.

πŸ‘©β€πŸ’Ό Experience:

She is currently serving as an Associate Professor at the School of Telecommunications Engineering, Xidian University, Shaanxi, China. Dr. Fu was a joint Ph.D. student with Carleton University, Canada, from 2018 to 2019.

πŸ† Achievements:

Dr. Fu’s research interests include AI for Internet of Vehicles, Internet of Things, and Intelligent Transportation Systems. She has published 47 papers in prestigious journals and conferences, with several being highly cited. Her research has earned her recognition through numerous awards, including the Outstanding Doctoral Thesis Award and Best Paper Awards at international conferences.

πŸ”¬ Research Focus:

Her current academic focus lies in the areas of Internet of Vehicles and Intelligent Transportation Systems.

πŸ“š Notable Honors:

  • Outstanding Doctoral Thesis Award (China Electronics Education Society, 2020)
  • Outstanding Achievement Award (Special Prize, Shaanxi Higher Education Institutions Science and Technology Research, 2022)
  • Best Paper Award (DIVANet’23 International Conference)
  • Best Demo Award Winner (12th NEEE/CIC International Conference on Communications in China)
  • Best Student Paper Award (ADHOCNETS 2018 International Conference)

πŸ“šΒ Publication Impact and Citations :

Scopus Metrics:

  • πŸ“Β Publications: 45 documents indexed in Scopus.
  • πŸ“ŠΒ Citations: A total of 648 citations for his publications, reflecting the widespread impact and recognition of Dr. Yuchuan Fu’s research within the academic community.

Google Scholar Metrics:

  • All Time:
    • Citations: 911 πŸ“–
    • h-index: 15Β  πŸ“Š
    • i10-index: 18 πŸ”
  • Since 2018:
    • Citations: 899 πŸ“–
    • h-index: 15 πŸ“Š
    • i10-index: 18 πŸ”

πŸ‘¨β€πŸ« A prolific researcher with significant impact and contributions in the field, as evidenced by citation metrics. πŸŒπŸ”¬

Publications Top Notes :

  1. Vehicle position correction: A vehicular blockchain networks-based GPS error sharing framework
    • Published in IEEE Transactions on Intelligent Transportation Systems in 2020.
    • 113 citations.
  2. A decision-making strategy for vehicle autonomous braking in emergency via deep reinforcement learning
    • Published in IEEE Transactions on Vehicular Technology in 2020.
    • 100 citations.
  3. Vehicular blockchain-based collective learning for connected and autonomous vehicles
    • Published in IEEE Wireless Communications in 2020.
    • 95 citations.
  4. A mobility-aware vehicular caching scheme in content centric networks: Model and optimization
    • Published in IEEE Transactions on Vehicular Technology in 2019.
    • 90 citations.
  5. A survey of blockchain and intelligent networking for the metaverse
    • Published in IEEE Internet of Things Journal in 2022.
    • 78 citations.