Renyu Wang | Transportation Engineering | Research Excellence Award

Ms. Renyu Wang | Transportation Engineering | Research Excellence Award

Beijing Jiaotong University | China

Ms. Wang Renyu is a researcher at Beijing Jiaotong University, Beijing, China, specializing in electrical power systems, intelligent monitoring, and data-driven modeling for railway and traction applications. His research focuses on online adaptive evolution algorithms, multi-scale periodic update strategies, and temperature estimation models for traction transformers, addressing critical challenges in equipment safety and operational reliability. He has authored 10 scholarly publications indexed in Scopus, with 43 citations and an h-index of 4, reflecting growing academic impact. Wang has collaborated with 14 co-authors, indicating active engagement in team-based and interdisciplinary research. His recent open-access article in the International Journal of Electrical Power and Energy Systems highlights his contribution to adaptive, real-time estimation methods relevant to smart railways and modern power infrastructures. Through applied research aligned with intelligent transportation systems, his work supports predictive maintenance, energy efficiency, and the safe operation of electrified rail networks, contributing to sustainable and resilient transportation development worldwide.

Citation Metrics (Scopus)

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Featured Publications

Guangyu Zhu | Intelligent Transportation System | Best Researcher Award

Mr Guangyu Zhu | Intelligent transportation system | Best Researcher Award

Ph.D. candidate, Tsinghua University, China

Guangyu Zhu is a dedicated researcher and PhD candidate in Automotive Engineering at Tsinghua University, specializing in intelligent connected vehicles and vehicle-road collaborative systems. With a strong academic foundation from Shanghai Jiaotong University (Master’s) and Northeastern University (Bachelor’s), Guangyu has consistently excelled in his field, earning numerous awards and scholarships. His research focuses on the development strategy, cost-benefit analysis, and social value of intelligent automotive technologies. Guangyu has led significant consulting projects for the China Academy of Engineering and top international automobile companies, contributing to the advancement of China’s automotive industry. He has published multiple high-impact papers in SCI and EI-indexed journals, showcasing his expertise in intelligent transportation systems, steer-by-wire technologies, and blockchain applications in automotive fields. Guangyu’s work bridges academic research and industry innovation, aiming to shape the future of intelligent transportation.

Professional Profile

Orcid

Education 🎓

  • PhD in Automotive Engineering, Tsinghua University (Aug 2020–Jun 2025)
    Research: Intelligent connected vehicles, vehicle-road collaborative systems, social and user value.
    Awards: SAECCE Young Professional Excellent Paper, University/Institute scholarships.
  • Master of Engineering in Automotive Engineering, Shanghai Jiaotong University (Sep 2017–Mar 2020)
    Research: Steer-by-wire systems, lane-changing decision-making.
    Awards: Huawei Cup Mathematical Contest in Modeling (Second Prize).
  • Bachelor of Science in Applied Physics, Northeastern University (Sep 2013–Jun 2017)
    GPA: 3.7/4.0 (Rank: 1/88).
    Awards: Outstanding Graduate of Liaoning Province, National Scholarship, Huawei Scholarship.

Experience 💼

  • Lead Researcher, Consulting Project, China Academy of Engineering (Jun 2020–Apr 2021)
    Defined development strategies for intelligent automotive technologies and identified key bottlenecks.
  • Lead Researcher, Consulting Project for Top International Automobile Company (Aug 2020–Feb 2022)
    Analyzed drivers of China’s automotive industry, including pandemic impacts and digital transformation.
  • Lead Researcher, University-Industry Joint Research Project on Steer-by-Wire Systems (Feb 2019–Feb 2020)
    Developed a steer-by-wire test bench and designed an internal model controller for precise steering.

Awards and Honors �

  • SAECCE Young Professional Excellent Paper Award
  • University-level Second-Class Scholarship (Tsinghua University)
  • Institute-level First-Class Scholarship (Tsinghua University)
  • Second Prize, Huawei Cup Mathematical Contest in Modeling (Shanghai Jiaotong University)
  • Outstanding Graduate of Liaoning Province (Northeastern University)
  • National Scholarship (Northeastern University)
  • Huawei Scholarship (Northeastern University)
  • University-level First-Class Scholarship (Northeastern University)
  • Second Prize, Mathematical Contest in Modeling (MCM)

Research Focus 🔍

Guangyu Zhu’s research focuses on intelligent connected vehicles and vehicle-road collaborative systems, emphasizing development strategies, cost-benefit analysis, and social value. He explores the integration of advanced technologies like blockchain and steer-by-wire systems in the automotive industry. His work also addresses traffic efficiencyenergy consumption, and user-centric design in high-level autonomous driving scenarios. Guangyu’s research bridges theoretical innovation and practical applications, contributing to the sustainable growth of intelligent transportation systems in China and globally.

Publication Top Notes📚

  1. Cost Analysis of Vehicle‐Road Cooperative Intelligence Solutions for High‐Level Autonomous Driving: A Beijing Case Study
  2. Research on Vehicle-Road Intelligent Capacity Redistribution and Cost Sharing in the Context of Collaborative Intelligence
  3. Research on Social Values of Vehicle-Road Collaborative Intelligent Systems: A Beijing Case Study
  4. Blockchain Technology and Its Application in Automotive Field
  5. Controller Design for an Automobile Steer-by-Wire System
  6. Intelligent Vehicle Technology Innovation Development Strategy Supporting the Upgrading of Traffic
  7. Study on Front Wheel Angle Tracking Strategy of Steering-by-Wire System
  8. Impacts of Connected and Autonomous Vehicles with Level 2 Automation on Traffic Efficiency and Energy Consumption
  9. Evaluation of Traffic Efficiency and Energy-Saving Benefits of L3 Smart Vehicles under the Urban Expressway Scenario
  10. The Expansion of Value Engineering Theory and Its Application in the Intelligent Automotive Industry

Conclusion 🌟

Guangyu Zhu is a highly accomplished researcher and PhD candidate whose work in intelligent connected vehicles and vehicle-road collaborative systems is shaping the future of transportation. With a strong academic background, extensive research experience, and numerous awards, he is a leading voice in the automotive industry. His publications and projects demonstrate a commitment to innovation, sustainability, and practical applications, making him a valuable contributor to the field of intelligent transportation.