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

Dr. Jie Chen | Automotive Robotics | Research Excellence Award

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Dr. Jie Chen | Automotive Robotics | Research Excellence Award

Associate Researcher  |  University of Science and Technology of China  |  China 

Dr. Jie Chen is an accomplished researcher recognized for significant contributions to multi-agent systems and network optimization, with strong expertise in advanced control and intelligent systems. The academic background reflects rigorous training, supporting a professional career that includes roles in research and academia with growing leadership responsibilities. Research interests focus on multi-agent cooperative control, distributed optimization, game theory, and reinforcement learning. Key research skills include algorithm design, mathematical modeling, data analysis, and scientific publishing. Honored with prestigious awards for emerging talent and scientific excellence, Dr. Chen demonstrates consistent innovation and impact. Overall, the profile reflects dedication to advancing intelligent systems and collaborative research.


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Featured Publications


Community Detection with Higher-Order Edge Enhancement in Temporal Networks

– Journal of Artificial Intelligence and Soft Computing Research, 2026

A Game Theory-Reinforcement Learning Approach to Cooperation for UAVs

– IEEE Transactions on Vehicular Technology, 2025

A Serial Game Distributed Algorithm to ε-Minimum Vertex Cover of Networks in Finite Time

– IEEE Transactions on Automation Science and Engineering, 2025

Distributed Potential Game Optimization to 3-Path Vertex Cover of Networks

– IEEE Transactions on Automation Science and Engineering, 2025

Prof. Dr.Puneet Kaur | Automotive Electronics | Research Excellence Award

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Prof. Dr.Puneet Kaur | Automotive Electronics | Research Excellence Award

Professor | UIET,Panjab University,Chandigarh | India

Prof. Dr. Puneet Kaur is a distinguished academic in electrical and electronics engineering with extensive experience in teaching, research, and consultancy across power systems, embedded systems, and electric mobility. Her professional journey reflects progressive academic roles and strong industry collaboration, contributing to innovations such as vehicle management systems, IoT-based automotive solutions, and battery monitoring for electric vehicles. Her research interests span power electronics, smart systems, AI-driven applications, and energy optimization, supported by strong skills in data acquisition, control systems, and machine learning integration. She has received recognition for technical leadership, project development, and research contributions.She has achieved 197 Citations, 26 Documents 8 h-index.

Citation Metrics (Scopus)

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Featured Publications

State of art of smart vehicle management system based on PIC micro controller and accelerometer

– Journal of Electrical Engineering, 2016

AVR Microcontroller-based automated technique for analysis of DC motors

– International Journal of Electronics, 2014

Design and Development of a Multi-Utility Device for data acquisition, monitoring and Control

– NJETE, 2010

Selective harmonic elimination PWM technique implementation for a multilevel converter

– International Journal of Engineering Research, 2015

Development of scalable hardware abstraction framework for DC motor control applications

– International Journal of Electrical and Electronics Engineering Research, 2011

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.

 

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Featured Publications

Seungchul Ryu | Automotive Artificial Intelligence | Research Excellence Award

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Dr. Seungchul Ryu | Automotive Artificial Intelligence | Research Excellence Award

Senior  Researcher | Forvia  | Canada

Dr. Seungchul Ryu is a senior researcher with extensive expertise in automotive-focused computer vision, image processing, and machine learning, delivering impactful innovations that bridge academic research and industrial deployment. His professional experience spans leading roles across academia and global mobility technology companies, contributing to intelligent cockpit systems, advanced driver-assistance solutions, and robust perception under extreme conditions. His research interests center on vision-aware safety systems, human–machine interaction, and applied AI for real-world automotive environments. He demonstrates strong research skills in algorithm development, system integration, patent generation, and large-scale project leadership. His work has earned industry recognition, innovation awards, and editorial and technical committee roles, reflecting sustained scientific influence and leadership. Overall, his contributions continue to shape next-generation intelligent mobility through high-impact research and innovation. He has achieved 344 Citations 33 Documents 7h-index.

 

Citation Metrics (Scopus)

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344
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33
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7
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Featured Publications


No-Reference Quality Assessment for Stereoscopic Images Based on Binocular Quality Perception

– IEEE Transactions on Circuits and Systems for Video Technology, 2013

DASC: Dense Adaptive Self-Correlation Descriptor for Multi-Modal and Multi-Spectral Correspondence

– IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015


Stereoscopic Image Quality Metric Based on Binocular Perception Model

– IEEE International Conference on Image Processing (ICIP), 2012

Depth Perception and Motion Cue Based 3D Video Quality Assessment

– IEEE International Symposium on Broadband Multimedia Systems, 2012

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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