Rajesh Eswarawaka | Autonomous Vehicles | Research Excellence Award

Posted on by Automobile Award

Research Excellence Award

Rajesh Eswarawaka, affiliated with RNS Institute of Technology Bengaluru, India, is recognized for scholarly contributions in the domain of unmanned vehicles and advanced automobile technologies. This article presents an academic overview of the research profile, contributions, and recognition associated with the Global Automobile Award.

 Rajesh Eswarawaka
Affiliation RNS Institute of Technology
Country India
Scopus ID 56568408300
Documents 22
Citations 31
h-index 3
Subject Area Unmanned Vehicles
Event Global Automobile Award

Abstract

This article outlines the academic achievements and research contributions of  Rajesh Eswarawaka in the field of unmanned vehicles. It highlights scholarly output, citation impact, and relevance to the Global Automobile Award, emphasizing contributions to emerging automotive technologies [1].

Keywords

Unmanned Vehicles, Autonomous Systems, Automotive Engineering, Research Impact, Academic Recognition

Introduction

The advancement of unmanned vehicle systems has significantly transformed modern transportation and automation industries. Researchers contributing to this domain play a crucial role in innovation and technological development. Recognition through international awards highlights impactful academic work and practical contributions [2].

Research Profile

Rajesh Eswarawaka has contributed to multiple research publications indexed in Scopus, focusing on unmanned vehicle technologies and automotive advancements. The researcher’s academic profile reflects steady publication output and measurable citation metrics [1].

Research Contributions

  • Development of autonomous navigation systems
  • Research in vehicle control algorithms
  • Integration of AI in automotive systems

Publications

The researcher has authored and co-authored multiple peer-reviewed journal articles and conference papers. These publications contribute to advancements in autonomous mobility and engineering systems [3].

Research Impact

The citation metrics indicate moderate academic influence, with ongoing contributions expected to enhance impact. The h-index reflects consistent scholarly engagement and recognition within the research community [1].

Award Suitability

The Global Automobile Award recognizes innovation and research excellence in automotive engineering. Based on publication record, subject relevance, and academic contributions, the researcher demonstrates alignment with award criteria.

Conclusion

 Rajesh Eswarawaka’s work contributes to the evolving field of unmanned vehicle systems. Recognition through international platforms such as the Global Automobile Award reflects the importance of continued academic research and technological innovation.

References

  1. Elsevier. (n.d.). Scopus author details:  Rajesh Eswarawaka, Author ID 56568408300. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=56568408300
  2. Nagaraj, A. K., Eswarawaka, R., Kumar, A. B., & Dayanandini, S. (Year). Quantum-enhanced hybrid intelligence: Fuzzy logic meets neural networks in data-driven systems.
    https://link.springer.com/chapter/10.1007/978-3-032-13203-1_35
  3. Eswarawaka, R., Firdose, S., Neha, S., & Nitin Sai, S. G. (n.d.). Design and development of autonomous driving car using NVIDIA Jetson Nano developer kit. DSU, Bangalore.
    https://www.researchgate.net/publication/387582262_Design_and_Development_of_Autonomous_Driving_Car_Using_Nvidia_Jetson_Nano_Developer_Kit

Prof. Dr. Chengwen Wang | Automotive Robotics | Research Excellence Award

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Prof. Dr. Chengwen Wang | Automotive Robotics | Research Excellence Award

Professor | Taiyuan University of Technology | China

Prof. Dr. Chengwen Wang is a distinguished researcher in mechatronics and intelligent control systems, recognized for impactful contributions to vehicle suspension control and motion control engineering. He has extensive professional experience leading multiple national and provincial research projects and has authored numerous high-quality publications in advanced engineering domains. His research interests include active suspension systems, intelligent control, and mechatronic integration, supported by strong technical skills in system modeling, control design, and optimization. His achievements include prestigious scientific awards and talent recognitions for innovation and research excellence. Overall, his work significantly advances automotive control technologies and engineering applications. He has achieved 887 Citations, 55 Documents ,15 h-index.

 

Citation Metrics (scopus)

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887
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55
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15
h-index

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Documents

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Featured Publications

Zhen Guo | Automotive Robotics | Research Excellence Award

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Dr. Zhen Guo | Automotive Robotics | Research Excellence Award

Doctoral student |  Wuhan University of Technology |  China

Dr. Zhen Guo is an emerging researcher in intelligent fault diagnosis and industrial artificial intelligence, with work spanning advanced data-driven methods for complex mechanical and robotic systems. The academic profile reflects strong training in engineering research with a focus on applying deep learning and statistical learning to real-world reliability challenges. Professional experience includes active service as a peer reviewer for leading international journals and conferences in engineering informatics, artificial intelligence, measurement science, and mechanical systems, demonstrating recognition within the scholarly community. Research interests center on deep learning–based fault diagnosis, rotating machinery health monitoring, robotics, anomaly detection, imbalance learning, few-shot and incremental learning, and transfer learning, particularly for wind turbines, gearboxes, and autonomous systems. Research skills encompass convolutional and attention-based neural networks, adversarial learning, feature extraction, time-series analysis, imbalance data handling, and intelligent condition monitoring frameworks. Contributions are evidenced by publications in high-impact journals such as Renewable Energy, IEEE Transactions on Instrumentation and Measurement, Expert Systems with Applications, Measurement, Ocean Engineering, and Scientific Reports, addressing both theoretical modeling and practical deployment. Awards and honors are reflected through consistent publication in top-tier venues and trusted reviewer roles. Overall, the work demonstrates a coherent trajectory toward robust, scalable, and intelligent diagnostic solutions for next-generation industrial and transportation systems. He has achieved 152 Citations 11 Documents 7h-index.

Citation Metrics (Scopus)

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152
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11
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Featured Publications

Ding Peng | Autonomous Vehicles | Best Researcher Award

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Assist. Prof. Dr. Ding Peng | Autonomous Vehicles | Best Researcher Award

Associate Professor | Wuxi University of Technology |China

Assist. Prof. Dr. Ding Peng is an accomplished academic and researcher currently serving as an Associate Professor at Wuxi University of Technology, formerly known as Wuxi Institute of Technology, China. He is also a key member of the Jiangsu Province Engineering Research Center for Energy Saving and Safety of New Energy Vehicles, where he plays a vital role in promoting innovation and sustainability in the automotive sector. Dr. Peng obtained his degree in Vehicle Engineering from Chongqing University which laid a strong foundation for his expertise in intelligent vehicle systems and new energy technologies. His professional experience includes working as a Design Engineer at King Long United Automotive Industry (Suzhou) Co., Ltd., where he participated in the design and development of commercial buses, followed by a distinguished academic career at Wuxi University of Technology . Over the years, Dr. Peng has demonstrated exceptional competence in teaching and research, covering courses such as Automobile Structure, Automobile Theory, Principles of Automatic Control, and Intelligent and Connected Vehicle Technologies. His research interests focus on thermal management technologies for new energy vehicles, autonomous vehicle control strategies, and intelligent connected vehicle (V2X) technologies. His research skills encompass modeling, simulation, data fusion, control algorithms, and system optimization, emphasizing practical integration between academia and industry. Dr. Peng has led numerous enterprise and government-funded projects, published several high-impact academic papers, and secured multiple national patents, showcasing his dedication to advancing innovation in smart and sustainable mobility. His awards and honors include recognition for his leadership in research excellence, academic innovation, and contributions to engineering education. Driven by a vision of merging scientific theory with real-world application, he continues to nurture the next generation of engineers while advancing intelligent vehicle technologies. He has achieved 29 citations , authored 7 scientific papers, and holds an h-index of 2 .

Profiles:  Scopus | ORCID

Featured Publications

  1. Ding, P. (2025). A Cooperative Control Strategy for Predicting Passing Capacity and Intelligent Obstacle Avoidance in Autonomous Vehicles Based on Multisensor Fusion. Journal of Energy Storage.

  2. Ding, P. (2024). A distributed multiple-heat source staged heating method in an electric vehicle. International Journal of Vehicle Performance and Energy Systems.

  3. Ding, P. (2024). Distributed multi-heat-source hybrid heating system based on waste heat recovery for electric vehicles. Journal of Thermal Science and Energy Engineering.

  4. Ding, P. (2023). Research on interactive coupled preheating method utilizing engine-motor cooling waste heat in hybrid powertrains. Applied Thermal Engineering