Tian-yu Zhang | Smart Cities and Urban Analytics | Best Researcher Award

Dr. Tian-yu Zhang | Smart Cities and Urban Analytics | Best Researcher Award

Dr. Tian-yu Zhang at Beijing Jiaotong University, China

πŸ‘¨β€πŸŽ“Professional Profiles

πŸ§‘β€πŸ”¬ Summary

Dr. Tian-yu Zhang  PhD candidate in Transportation Planning and Management at Beijing Jiaotong University, focusing on the integration of transportation, energy, and economics. My research aims to develop synergistic systems that optimize the efficiency of electrified transportation networks, reduce emissions, and support the sustainable development of the electrified transport industry. I have published 8 academic papers, including 5 SCI papers as the first or corresponding author, and have contributed to several national and provincial-level projects. I was honored with the National Scholarship for Doctoral Students in both 2023 and 2024.

πŸŽ“ Education

Dr. Tian-yu Zhang currently pursuing a PhD in Transportation Planning and Management at Beijing Jiaotong University (2015–present). Under the guidance of Professors Enjian Yao (BJTU), Junyi Zhang (Southeast University), and Zhiwei Wang (NTU), my research focuses on the intersection of transportation and energy. This includes areas like big data mining, intelligent system design, and the optimization of transportation networks for sustainable development.

πŸ’Ό Professional Experience

Throughout my doctoral journey, I have led and contributed to several high-impact research projects. As the chair of two fundamental research projects, I have focused on optimizing highway charging networks and electric vehicle infrastructure. I have also actively participated in national research projects aimed at optimizing regional transport structures, assessing carbon and pollution reduction potential, and developing energy replenishment solutions for transportation systems.

πŸ“š Academic Citations

I have published 8 academic papers in top-tier journals such as Applied Energy, Transportation Research Part A, IEEE Transactions on Transportation Electrification, and Computer-Aided Civil and Infrastructure Engineering. My work, including 5 SCI-indexed papers where I served as the first or corresponding author, has been widely cited in the field of transportation and energy integration.

πŸ’» Technical Skills

My research expertise spans several technical areas, including:

  • Transportation big data analysis
  • Intelligent transportation system (ITS) design and operation
  • Multi-agent system modeling
  • Optimization of multi-network coupling for transportation and energy
  • Industrial policy assessment and formulation
  • Software development (e.g., Dynamic Traffic Flow Allocation System V1.0)

πŸ‘¨β€πŸ« Teaching Experience

In addition to my research, I assist in teaching courses related to transportation planning, system optimization, and transportation-energy integration at Beijing Jiaotong University. This allows me to share my knowledge while continuing to learn and engage with students.

πŸ”¬ Research Interests

My research primarily focuses on the integration of transportation and energy systems. Specifically, I aim to develop synergistic operations for electrified transportation, optimize energy consumption, and improve infrastructure planning through intelligent transportation systems and smart grids. I am particularly interested in multi-network coupling, energy management, and policy development to help the transportation sector meet sustainability goals, especially within the context of the β€œDouble Carbon” initiative.

🌍 Vision for the Future

Dr. Zhang envisions the future development of smart grids, electric vehicles, and intelligent transportation systems working synergistically to achieve a sustainable and low-carbon transportation infrastructure. He hopes to foster international collaboration to tackle global challenges in this vital interdisciplinary field.

Huike Zeng | Smart Cities and Urban Analytics | Best Researcher Award

Mr. Huike Zeng | Smart Cities and Urban Analytics | Best Researcher Award

Mr. Huike Zeng at Shandong university, China

πŸ‘¨β€πŸŽ“ Profile

πŸ“ Summary

Zeng Huike is a dedicated Ph.D. candidate in Geotechnical Engineering at Shandong University, focusing on transportation engineering, particularly in non-destructive testing and vibration control for railway infrastructure.

πŸŽ“ Education

  • B.S. in Transportation Engineering (2015-2019) from East China Jiaotong University, China
  • M.A.Sc. in Transportation Engineering (2019-2022) from Shenzhen University, China
  • Ph.D. Candidate in Geotechnical Engineering (2022-present) at Shandong University, China

πŸ’Ό Professional Experience

Developed innovative phononic crystal floating slab tracks and TID-vibration-isolator systems aimed at effective vibration reduction. Established a multi-frequency data fusion method using the Non-Subsampled Contourlet Transform (NSCT) for ground penetrating radar (GPR) applications in railway infrastructure testing.

πŸ” Research Interests

Dynamic soil-structure interaction, non-destructive testing, ground penetrating radar, vibration and noise control, deep learning, and predictive methods are the key areas of exploration.

πŸ† Awards

  • National Scholarship, Ministry of Education of China (2021)
  • SZU Outstanding Graduate Award, Shenzhen University (2022)
  • Academic Excellence Scholarship, Shandong University (2023)
πŸ“–  Top Noted Publications

Article Title: Study on Low-Frequency Vibration Mitigation Characteristics of TID-Vibration-Isolator Floating Slab Track

  • Authors: Sheng, X.; Zeng, H.-K.; Shi, C.; Zhang, Y.; Du, Y.-L.
    Journal: Gongcheng Lixue / Engineering Mechanics
    Volume: 40
    Issue: 5
    Pages: 49–58
    Year: 2023

Article Title: A Study on Low-Frequency Vibration-Mitigation Performance of a Phononic Crystal Floating Slab Track

  • Authors: Sheng, X.; Zeng, H.; Shi, C.; Du, Y.
    Journal: Zhendong yu Chongji / Journal of Vibration and Shock
    Volume: 41
    Issue: 12
    Year: 2022

Article Title: Numerical Study on Propagative Waves in a Periodically Supported Rail Using Periodic Structure Theory

  • Authors: Sheng, X.; Zeng, H.; Zhang, S.Y.; Wang, P.
    Journal: Journal of Advanced Transportation
    Volume: 2021
    Pages: 6635198
    Year: 2021

Jing Wang | Smart Cities and Urban Analytics | Best Researcher Award

Mr. Jing Wang | Smart Cities and Urban Analytics | Best Researcher Award

Mr. Jing Wang at Shandong University, China

πŸ‘¨β€πŸŽ“ Profiles

Scopus Profile

Orcid Profile

Research Gate Profile

πŸ“ Summary

Dr. Jing Wang is the Director of the Research Centre for New Structures in Railway Transportation at Shandong University. With extensive expertise in geotechnical engineering, particularly in shield intelligent tunneling, Dr. Wang has led over 40 significant projects and contributed to more than 134 academic publications.

πŸŽ“ Education

Dr. Wang holds a PhD in Geotechnical Engineering from Shandong University, where they also completed joint PhD training at Durham University.

πŸ‘” Professional Experience

Currently, Dr. Wang serves as the Director of the Research Centre for New Structures in Railway Transportation at Shandong University. Additionally, they hold editorial positions in several prestigious journals related to tunneling and engineering.

πŸ”¬ Research Interests

Dr. Wang’s research focuses on high-end intelligent shield technology, aiming to enhance tunneling processes, as well as green and safe construction methods to promote sustainability in railway transportation.

πŸ“–  Top Noted Publications

3D imaging and temporal evolution recognition of concrete internal defects based on GPR

    • Authors: Wang, Z., Li, B., Lei, M., Wang, J., Sui, Q.
    • Journal: Measurement Science and Technology
    • Year: 2024

Deep Learning-Based Three-dimensional Reconstruction and Spatial Position Mapping of Tunnel Defect Zones

    • Authors: Wang, J., Wang, W., Xu, P., Xiao, G., Wang, Z.
    • Journal: ACM International Conference Proceeding Series
    • Year: 2024

Linear Deformation Sensing and Error Self Correction Method Based on Fiber Optic Smart Sensor Belt and Typical Error Matching

    • Authors: Wang, Z., Li, W., Zhou, X., Cui, J., Wang, J.
    • Journal: ACM International Conference Proceeding Series
    • Year: 2024

Dam Seepage Defect Area Estimation Method Based on UAV 3D Scene Reconstruction

    • Authors: Gao, S., Gao, S., Yang, Y., Yu, Y., Wang, J.
    • Journal: ACM International Conference Proceeding Series
    • Year: 2024

Development of similar materials with different tension-compression ratios and evaluation of TBM excavation

    • Authors: Wang, J., Zhang, Y., Wang, K., Cheng, S., Sun, S.
    • Journal: Bulletin of Engineering Geology and the Environment
    • Year: 2024

Review on Vibration Monitoring and Its Application during Shield Tunnel Construction Period

    • Authors: Yang, W., Fang, Z., Wang, J., Zhang, Y., Ba, X.
    • Journal: Buildings
    • Year: 2024