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

Mr. jiawen li | vechicle dynamics | Research Excellence Award

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 Mr. jiawen li | vechicle dynamics | Research Excellence Award

Student | hunan university | China

Mr. Jiawen Li is an emerging researcher with a growing contribution to his field, demonstrating strong analytical capabilities and commitment to academic excellence. He has developed expertise through academic training and professional engagements, contributing to research projects and scholarly publications. His interests focus on advancing innovative methodologies and practical solutions within his domain. He possesses key research skills including data analysis, critical thinking, and scientific writing. His work has been recognized through academic achievements and contributions to publications. Overall, he shows promising potential for future research impact and collaboration. He has achieved 2 Citations, 3 Documents ,1 h-index.

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Featured Publications

Constraint-following adaptive robust control for multi-vehicle system formation with collision avoidance

– Gang Xiao, Jiawen Li, Qinwen Yang, Longjie Fan, Qin Liao, Jin Huang. Journal of Vibration and Control, 2024
Constraint-driven multi-lane merging control for underactuated connected and automated vehicle system with
mismatched uncertainty

– Qinwen Yang, Jiawen Li, Gang Xiao, Xueyun Li, Linjie Ren, Jin Huang. International Journal of Robust and Nonlinear Control, 2025
Road-Dependent Longitudinal-Lateral Collaborative Adaptive Robust Control of Vehicular Platoons

– Qinwen Yang, Jiawen Li, Gang Xiao, Jin Huang. Chinese Journal of Mechanical Engineering, 2026

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.

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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

Assist. Prof. Dr. Mortadha GRAA | Vehicle Dynamics | Vehicle Dynamics Award

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Assist. Prof. Dr. Mortadha GRAA | Vehicle Dynamics | Vehicle Dynamics Award

Doctor Engineer | Laboratory of Mechanical Engineering (LGM)/National Engineering School of Monastir | Tunisia

Assist. Prof. Dr. Mortadha GRAA is an accomplished researcher and academic with extensive experience in mechatronics, mechanical engineering, and technology transfer. He has held leadership roles in research management, notably directing technology transfer initiatives and fostering innovation partnerships between academia and industry. His professional background spans design engineering, project management, and academic instruction in transport technologies and machine dynamics. His research interests include rail vehicle dynamics, vibration control, mechatronic system design, and passenger comfort optimization. He possesses strong skills in modeling, simulation, optimization, and intellectual property management, with recognized contributions through training, certifications, and scientific publications. He has achieved 53 Citations,13 Documents, 3 h-index.

Citation Metrics (Scopus)

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Featured Publications


Modeling and control of rail vehicle suspensions: A comparative study based on the passenger comfort

– Proc. IMechE Part C: Journal of Mechanical Engineering Science, 2018

Control and vibration of rail vehicle semi-active suspensions with comfort evaluation

– International Journal of Vehicle Noise and Vibration, 2017

Mechatronic suspension design for full rail vehicle system

– Proc. IMechE Part K: Journal of Multi-body Dynamics, 2017

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

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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.

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Parul Asati | Electric Vehicles | Research Excellence Award

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Mr. Parul Asati | Electric Vehicles | Research Excellence Award

Amity University Gwalior  |  India

Mr. Parul Asati is a professional with experience spanning industry, research, and project development, combining analytical, technical, and strategic capabilities. Professional experience includes coordination across operations, compliance, and marketing functions in the insurance sector, along with hands-on involvement in software solutions using PHP and CodeIgniter. Research interests focus on management and interdisciplinary domains, supported by contributions to Scopus-indexed papers, international journals, and scholarly book chapters with reputed publishers. Research skills include data analysis, statistical tools, documentation, and academic writing, complemented by proficiency in SPSS, SMART PLS, Excel, and MS Office tools. Awards and honors include recognition through national programs, certifications, and a Limca Book of Records entry. Overall, the profile reflects a balance of applied industry exposure, academic research engagement, and continuous professional development. He has achieved 10 Citations, 4 Documents, 2h-index.

 

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4
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Husham Saied | Vehicle Dynamics | Research Excellence Award

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Assist. Prof. Dr. Husham Saied | Vehicle Dynamics | Research Excellence Award

Assistant Professor  |  PSMCHS |  Saudi Arabia

Assist. Prof. Dr.Husham Saied is an accomplished academic and researcher with extensive experience in biomedical technology, combining teaching, applied research, and interdisciplinary collaboration. His professional experience spans academic appointments and clinical–engineering roles, contributing to curriculum development, student supervision, and the translation of engineering solutions into healthcare practice. His research interests focus on biomedical signal processing, medical devices, diagnostic systems, assistive technologies, and computational methods applied to healthcare challenges. He possesses strong research skills in experimental design, data analysis, system modeling, algorithm development, and scholarly publishing, alongside experience in funded projects and patent-oriented innovation. His work has earned professional recognition through editorial roles, peer-review activities, and participation in impactful research initiatives. Overall, his profile reflects sustained contributions to biomedical engineering research and education with measurable scholarly impact. He has achieved 105 Citations, 6 Documents, 5h-index.

 

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Featured Publications


Vehicle Dynamics and Control

– R. Rajamani, Springer (ResearchGate)


The Science of Vehicle Dynamics

– M. Guiggiani (ResearchGate)


Vehicle Dynamics and Tire Models: An Overview

– Belrzaeg et al., World Journal of Advanced Research (ResearchGate)

Zixue Du | Automobile Engineering | Research Excellence Award

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Prof. Zixue Du | Automobile Engineering | Research Excellence Award

Professor | Chongqing Jiaotong University  |  China

Prof. Zixue Du is a senior academic and research leader with extensive expertise in vehicle dynamics, rail transit systems, and transportation equipment engineering. His professional experience includes major leadership roles in mechatronics, vehicle engineering, and rail transit research, alongside active participation in national academic, industrial, and governmental advisory bodies. His research interests focus on straddle-type monorail vehicles, system integration, tire wear mechanisms, traction control, and safety assurance technologies. He has led and contributed to numerous national and provincial research projects, collaborated extensively with industry, and produced impactful scholarly outputs including journal publications, patents, monographs, and technical standards. His contributions have been recognized through multiple high-level scientific and technological awards, reflecting sustained influence in transportation engineering research and innovation. He has achieved 534 Citations,63 Documents, 11h-index.

 

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534
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