Hua Peng | Vehicle Dynamics | Research Excellence Award

Research Excellence Award

Hua Peng, Beijing Jiaotong University

Hua Peng
Affiliation Beijing Jiaotong University
Country China
Scopus ID 57199875426
Documents 35
Citations 233
h-index 9
Subject Area Vehicle Dynamics
Event Global Automobile Award

The Research Excellence Award recognizes outstanding contributions in the field of vehicle dynamics, highlighting impactful scholarly work, innovation, and sustained academic performance. Hua Peng of Beijing Jiaotong University has demonstrated consistent research output and measurable scientific influence in automotive engineering and system dynamics, supported by indexed publications and citations in peer-reviewed databases [1].

Abstract

This article presents an overview of Hua Peng’s academic contributions in vehicle dynamics, emphasizing research productivity, citation impact, and scholarly influence. The Research Excellence Award acknowledges measurable academic performance through bibliometric indicators and technical advancements in automotive engineering [1].

Keywords

Vehicle Dynamics; Automotive Engineering; Research Impact; Scopus Metrics; Engineering Innovation

Introduction

The field of vehicle dynamics plays a critical role in advancing automotive safety, efficiency, and performance. Researchers contribute through modeling, simulation, and real-world experimentation. Hua Peng’s work reflects a growing contribution to these domains, particularly through indexed publications and measurable academic metrics [1].

Research Profile

Hua Peng is affiliated with Beijing Jiaotong University and has contributed to vehicle dynamics research with 35 indexed documents. The researcher has accumulated 233 citations and an h-index of 9, indicating consistent scholarly engagement and moderate research impact within the field [1].

Research Contributions

  • Development of dynamic vehicle modeling techniques.
  • Analysis of stability and control in automotive systems.
  • Simulation-based optimization for vehicle performance.
  • Integration of computational methods in automotive research.

Publications

  1. Peng, H., Li, Y., Niu, X., Tang, H., Meng, X., Li, Z., Wan, K., Li, W., & Song, W. (Year). Characteristics analysis of leakage diseases of Beijing underground subway stations based on the field investigation and data statistics. Journal Name, Volume(Issue), pages.
    https://www.sciencedirect.com/science/article/abs/pii/S2214391224001387

Research Impact

The citation count and h-index indicate that Hua Peng’s work has achieved recognition within the academic community. The research contributes to both theoretical understanding and practical applications in vehicle systems, supporting advancements in safety and control technologies [1].

Award Suitability

The Research Excellence Award evaluates candidates based on research output, citation metrics, and contribution to technological innovation. Hua Peng’s academic profile aligns with these criteria, particularly through consistent publication records and measurable scholarly influence in vehicle dynamics [1].

Conclusion

Hua Peng’s research contributions demonstrate a sustained commitment to advancing vehicle dynamics. The combination of publication output, citation metrics, and applied research significance supports recognition through the Research Excellence Award, reflecting both academic rigor and practical relevance [1].

References

  1. Elsevier. (n.d.). Scopus author details: Hua Peng, Author ID 57199875426. Scopus.https://www.scopus.com/authid/detail.uri?authorId=57199875426
  2. PI-MSANet: a physics–data-driven method for vehicle dynamic response estimation under settlement deformation. https://www.tandfonline.com/doi/full/10.1080/00423114.2026.2645986
  3. .Study on deformation control of road-deep foundation pit passing under elevated subway bridge. https://www.mdpi.com/2076-3417/14/14/6357
  4. Characteristics analysis of leakage diseases of Beijing underground subway stations based on the field investigation and data statistics. https://www.researchgate.net/publication/382433489_Characteristics_analysis_of_leakage_diseases_of_Beijing_underground_subway_stations_based_on_the_field_investigation_and_data_statistics

Assoc. Prof. Dr. Fernando Beghetto | Vehicle Dynamics | Research Excellence Award

Assoc. Prof. Dr. Fernando Beghetto | Vehicle Dynamics | Research Excellence Award

Researcher |  Federal Technological University of Paraná-UTFPR  | Brazil

Assoc. Prof. Dr. Fernando Beghetto is an accomplished academic and researcher with extensive experience in computational solid mechanics and structural dynamics. His professional work focuses on advanced numerical modeling, particularly in vehicle–track–bridge interaction and vibration analysis. He has contributed to international conferences and published scholarly work in high-impact platforms, demonstrating expertise in fatigue analysis and multi-body dynamic systems. His research interests include railway dynamics, structural vibrations, and continuum damage mechanics, while his skills span finite element methods, Fortran, and MATLAB programming for complex engineering problems. His contributions significantly advance infrastructure safety and performance. He has achieved 2 Citations, 6 Documents 1 h-index.

Citation Metrics (Scopus)

10
5
0

2
Citations

6
Documents

1
h-index

Citations

Documents

h-index


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Featured Publications

Sreya Ghosh | Vehicular Communication Systems | Women in Automotive Award

Dr. Sreya Ghosh | Vehicular Communication Systems | Women in Automotive Award

Assistant Professor  | IEM Kolkata  |  India

Dr. Sreya Ghosh is an accomplished researcher and academic specializing in intelligent transportation systems, vehicular ad hoc networks (VANETs), and wireless communication technologies. Currently serving as an Assistant Professor in the Department of Computer Science and Engineering (AIML) at the Institute of Engineering and Management, Kolkata, she has contributed significantly to the advancement of AI- and ML-driven solutions for next-generation vehicular networks. Her doctoral research at Jadavpur University focused on the design of vehicular ad hoc networks with enhanced performance applicable to intelligent transportation systems, integrating machine learning and communication optimization techniques. Over the years, she has published several impactful research papers in reputed international journals such as Wiley and Springer, with notable works including intelligent sensing-based resource allocation in 5G-V2X networks, RSU deployment optimization using complex network analysis, and enhanced routing algorithms for energy-efficient vehicular communication. Dr. Ghosh has also presented her research at numerous IEEE conferences, contributing to the development of algorithms for CO₂ emission reduction, cooperative caching, and congestion mitigation in smart cities. Her research interests span sensor networks, AI/ML applications, natural language processing, IoT, and algorithm design, with a strong emphasis on sustainable intelligent mobility. She possesses advanced technical skills in Python, PyTorch, Keras, MATLAB, and C, enabling her to develop and simulate intelligent systems effectively. She has been awarded prestigious fellowships, including the CSIR Senior Research Fellowship and the UGC UPE Fellowship, in recognition of her research excellence. Additionally, she has contributed as a reviewer for reputed IEEE and Springer journals and conferences and has organized academic events promoting innovation in computing and communication technologies. Her dedication to research and academic excellence reflects her commitment to advancing intelligent systems for societal benefit. She has achieved 61 Citations,   11 Documents, 5 h-index.

Profiles: Google Scholar  |  ORCID  |  Scopus

Featured Publications 

  1. Ghosh, S., Misra, I. S., & Chakraborty, T. (2023). Optimal RSU deployment using complex network analysis for traffic prediction in VANET. Peer-to-Peer Networking and Applications, 16(2), 1135–1154. Citations: 18

  2. Ghosh, S., & Misra, I. S. (2020). Enhanced QoS performance with reduced route overhead by ant colony optimization algorithm for VANET. In 2020 IEEE Applied Signal Processing Conference (ASPCON) (pp. 237–241). IEEE. Citations: 10

  3. Ghosh, S., & Misra, I. S. (2017). Design and testbed implementation of an energy efficient clustering protocol for WSN. In 2017 International Conference on Innovations in Electronics, Signal Processing and Communication (IESC) (pp. 55–60). IEEE. Citations: 9

  4. Ghosh, S., Misra, I. S., & Chakraborty, T. (2023). Improved Quality of Service by canine olfactory route finding algorithm for Vehicular Ad Hoc Network. Transactions on Emerging Telecommunications Technologies, 34(6), e4764. Citations: 5

  5. Ghosh, S., Misra, I. S., & Chakraborty, T. (2022). Developing an application for intelligent transportation system for emergency health care. In 2022 IEEE Calcutta Conference (CALCON) (pp. 39–43). IEEE. Citations: 2

Dr. Sreya Ghosh’s research integrates artificial intelligence, wireless communication, and vehicular networking to build smarter, safer, and more sustainable transportation ecosystems. Her innovative work on RSU optimization, QoS enhancement, and energy-efficient network design contributes to the development of next-generation intelligent transportation systems that support traffic efficiency, environmental sustainability, and smart city evolution worldwide..