Bhaskar Anand | Autonomous Vechicles | Innovative Research Award

Posted on by Automobile Award

Innovative Research Award

Bhaskar Anand
Affiliation Kody Technolab Limited
Country India
Scopus ID 57209881634
Documents 20
Citations 202
h-index 9
Subject Area Autonomous Vehicles
Event Global Automobile Award
ORCID 0000-0002-2035-9446

Bhaskar Anand

Kody Technolab Limited, India

Bhaskar Anand is a researcher associated with Kody Technolab Limited whose scholarly profile includes contributions relevant to autonomous vehicles and intelligent transportation technologies. His recorded research portfolio comprises 20 documents, 202 citations, and an h-index of 9, providing measurable indicators of research activity and scholarly visibility in the field of autonomous vehicle research.
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Abstract

Bhaskar Anand is associated with research activities in autonomous vehicles, an interdisciplinary field combining artificial intelligence, sensing, robotics, communications, control systems, and transportation engineering. His scholarly record includes 20 documents, 202 citations, and an h-index of 9, indicating sustained publication activity and measurable academic influence. Autonomous vehicle research addresses perception, localization, planning, decision-making, vehicle control, connectivity, and safety, with the broader objective of improving transportation efficiency and reducing human-error-related risks[2].

Keywords

Autonomous Vehicles, Automated Driving, Intelligent Transportation Systems, Vehicle Automation, Artificial Intelligence, Automotive Research, Connected Vehicles, Vehicle Safety, Smart Mobility, Sensor Fusion, Autonomous Navigation, Machine Learning, Transportation Engineering, Intelligent Mobility, Automotive Innovation.

Introduction

Autonomous vehicles represent a major research direction within modern transportation engineering, integrating perception, computation, communication, and control into increasingly automated driving systems. Research in this area seeks to address complex road environments, uncertain traffic conditions, human interaction, and operational safety while supporting more efficient and connected mobility systems[2].

Research Profile

Bhaskar Anand’s documented scholarly profile contains 20 research documents and 202 citations, with an h-index of 9. These bibliometric indicators provide a quantitative representation of publication activity and citation-based visibility. The profile is associated with autonomous vehicle research, a rapidly developing area within intelligent transportation and automotive engineering[1].

Research Contributions

Research associated with autonomous vehicles commonly addresses the development and assessment of computational methods for perception, localization, trajectory planning, decision-making, and vehicle control. These components must operate together to support reliable automated driving. The field also requires evaluation of system robustness under changing environmental, traffic, and operational conditions[3].

Publications

The available profile records 20 scholarly documents attributed to Bhaskar Anand and reports 202 citations. Publication activity provides evidence of continued engagement with academic research and contributes to the quantitative assessment of scholarly productivity. Two publications particularly relevant to the stated research area are the book LiDAR Technology for Intelligent Transportation and Autonomous Systems and the IEEE Journal of Emerging and Selected Topics in Industrial Electronics article on object georeferencing, speed, and heading detection using LiDAR-INS/GNSS[2][3].

Research Impact

The reported citation count of 202 and h-index of 9 indicate measurable scholarly visibility within the available indexed record. Citation indicators should be interpreted alongside publication quality, authorship contribution, research originality, collaboration, and field-specific citation practices rather than as standalone measures of research excellence[1].

Award Suitability

Bhaskar Anand’s documented research activity in autonomous vehicles provides a relevant basis for consideration for the Innovative Research Award. The reported publication and citation indicators demonstrate an established scholarly record, while the subject area aligns with emerging automotive technologies and intelligent transportation research[1].

Conclusion

Bhaskar Anand is associated with an academic profile focused on autonomous vehicle research, supported by 20 documents, 202 citations, and an h-index of 9. His research area corresponds with important developments in intelligent transportation, automated driving, LiDAR-based perception, and automotive technology. His documented research record provides a scholarly foundation for consideration under the Innovative Research Award.

References

  1. Elsevier. (n.d.).
    Scopus author details: Bhaskar Anand, Author ID 57209881634.
    Scopus.https://www.scopus.com/authid/detail.uri?authorId=57209881634
  2. Pachamuthu, R., Anand, B., Thakur, A., & Alam, P. (2025).
    LiDAR Technology for Intelligent Transportation and Autonomous Systems.
    CRC Press.DOI:https://doi.org/10.1201/9781003628422
  3. Anand, B., & Rajalakshmi, P. (2025).
    System for Object Georeferencing, Speed, and Heading Detection Using LiDAR-INS/GNSS Mounted on a Mobile Vehicle.
    IEEE Journal of Emerging and Selected Topics in Industrial Electronics, 6(4), 1546–1555.DOI:https://doi.org/10.1109/JESTIE.2025.3572802

Hui Dong | Autonomous Vehicles | Research Excellence Award

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Prof. Hui Dong | Autonomous Vehicles | Research Excellence Award

Professor | Harbin Institute of Technology | China

Prof. Hui Dong is an established researcher and academic leader with a strong record in advanced mechatronic and robotic systems, demonstrating sustained contributions across theory, engineering practice, and interdisciplinary innovation. Her professional experience includes leading and participating in more than 24 nationally and provincially funded research projects, serving as principal investigator for competitive youth and general programs, and contributing to key special projects aligned with aerospace and advanced manufacturing initiatives. Her research interests span mechanism science, intelligent manned and unmanned systems, wearable mechatronic systems, medical robotics, and human–machine hybrid intelligence, with particular emphasis on flexible manipulators, robotic navigation and control, legged and wheel-legged robots, surgical robotics, and data-driven intelligent interaction. Her research skills encompass robotic system design, kinematics and trajectory planning, control and navigation algorithms, neural networks, cross-domain situational awareness, and integration of large models into human–machine systems. She has authored numerous high-quality journal publications, including papers in top-tier international journals, with multiple first or corresponding authorships, highly cited work, and cover articles, alongside a strong patent portfolio with both domestic and international invention patents. Her awards and honors include institutional scholar recognition and competitive excellence titles reflecting research impact and leadership. Overall, her work demonstrates a consistent trajectory of high-impact scholarship, innovation, and contribution to cutting-edge robotic and intelligent systems research. She has achieved 34 Citations  3 Documents 2 h-index.

Citation Metrics (Scopus)

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Featured Publications

Ding Peng | Autonomous Vehicles | Best Researcher Award

Posted on by Automobile Award

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