Bhaskar Anand | Autonomous Vechicles | Innovative Research 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.
[1]

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

Mina Etemad | Sustainable Transport | Best Researcher Award

Best Researcher Award

Mina Etemad — Tarbiat Modares University, Iran

Mina Etemad
Affiliation Tarbiat Modares University
Country Iran
Scopus ID 60329027800
Documents 1
Citations 1
h-index 1
Subject Area Sustainable Transport
Event Global Automobile Award
ORCID 0000-0003-3092-3773

Mina Etemad is a researcher affiliated with Tarbiat Modares University in Iran whose documented research profile is associated with sustainable transport. Her Scopus record currently lists one document, one citation, and an h-index of one. This article presents the available academic profile and its relevance to the Best Researcher Award at the Global Automobile Award. [1]

Abstract

Mina Etemad is affiliated with Tarbiat Modares University, Iran, and is associated with the research area of sustainable transport. Available bibliographic information identifies one Scopus-indexed document, one citation, and an h-index of one. Her profile is presented in the context of the Best Researcher Award under the Global Automobile Award. Sustainable transport encompasses research addressing mobility systems, transportation efficiency, environmental considerations, and the transition toward more sustainable forms of travel. This recognition profile summarizes Etemad’s documented academic indicators, research field, institutional affiliation, and potential relevance to contemporary automobile and sustainable transportation research. [1]

Keywords

Mina Etemad; Best Researcher Award; Sustainable Transport; Tarbiat Modares University; Automobile Research; Transportation Research; Sustainable Mobility; Global Automobile Award; Scopus; Academic Research.

Introduction

Sustainable transport is an interdisciplinary research field concerned with improving mobility while considering environmental, economic, technological, and societal requirements. Research in this area contributes to the development of efficient transportation systems and supports broader transitions toward sustainable mobility. Etemad’s listed subject area places her academic profile within this developing research context. [1]

Research Profile

The available Scopus information identifies Mina Etemad with Author ID 60329027800 and an affiliation with Tarbiat Modares University. The indexed profile records one document, one citation, and an h-index of one. These indicators provide a concise bibliometric description of the currently documented research output associated with the profile. [1]

Research Contributions

Etemad’s documented research classification in sustainable transport connects her academic profile with an important area of contemporary transportation studies. The field supports investigation of mobility efficiency, sustainable infrastructure, environmental performance, and emerging transportation technologies. Based on the available profile, her contribution can be described within this broader scholarly domain without attributing specific findings not documented in the supplied record.

Publications

The supplied bibliometric record indicates one Scopus-indexed document associated with Mina Etemad’s profile. Because the specific publication title, journal, publication year, authorship details, and DOI were not provided, no additional publication information is attributed here. The available document count is retained as a bibliometric indicator rather than expanded with unverified bibliographic details. [1]

Research Impact

The available citation record lists one citation for Etemad’s documented Scopus output, with an h-index of one. These indicators represent measurable bibliometric activity within the indexed record. They should be interpreted alongside publication context, research quality, disciplinary norms, collaboration, and longer-term scholarly development rather than as standalone measures of research significance. [1]

Award Suitability

The Best Researcher Award profile places Etemad within the sustainable transport research category of the Global Automobile Award. Her institutional affiliation, documented Scopus profile, and identified subject area provide a basis for presenting her research record for recognition. Final award assessment should consider the program’s formal evaluation criteria and independently verified academic evidence.

Conclusion

Mina Etemad’s available academic profile identifies sustainable transport as her subject area and Tarbiat Modares University as her institutional affiliation. Her current Scopus indicators comprise one document, one citation, and an h-index of one. This page provides a structured academic recognition profile while distinguishing documented bibliometric information from details that require further verification. [1]

References

  1. Elsevier. (n.d.). Scopus author details: Mina Etemad, Author ID 60329027800. Scopus.
    https://www.scopus.com/pages/authors/60329027800
  2. ORCID. (n.d.). ORCID record: Mina Etemad. ORCID.
    https://orcid.org/0000-0003-3092-3773
  3. Global Automobile Award. (n.d.). Global Automobile Award.
    https://automobileaward.com

Hakki Soy | Vehicular Communication Systems | Innovative Research Award

Innovative Research Award

Hakki Soy
Affiliation Necmettin Erbakan University
Country Turkey
Scopus ID 36919180100
Documents 16
Citations 154
h-index 5
Subject Area Vehicular Communication Systems
Event Global Automobile Award
ORCID 0000-0002-6496-8542

Hakki Soy is affiliated with Necmettin Erbakan University, Turkey, and conducts research in vehicular communication systems. His scholarly profile includes indexed publications, measurable citation impact, and international visibility through recognized academic databases. These indicators provide context for evaluating professional achievements and potential recognition through the Global Automobile Award.[1]

Abstract

This article presents an academic overview of Hakki Soy and summarizes publicly available indicators associated with his research profile in vehicular communication systems. The discussion considers publication output, citation performance, author identification records, and institutional affiliation while maintaining a neutral scholarly perspective. These measurable indicators are frequently used to evaluate research productivity, collaboration potential, and scientific visibility across international databases. The information also provides contextual support when considering eligibility for professional recognition such as the Global Automobile Award, while acknowledging that award decisions generally involve additional qualitative assessment beyond bibliometric evidence alone.[1][2]

Keywords

Vehicular communication systems, intelligent transportation, Scopus, citation analysis, research evaluation, academic recognition, bibliometrics, ORCID, engineering research, innovation.[2]

Introduction

Research evaluation commonly combines publication records, citation indicators, institutional affiliation, and subject expertise. Such evidence helps establish scholarly visibility while supporting transparent academic assessment across engineering disciplines and internationally recognized indexing services.[1]

Research Profile

Hakki Soy is affiliated with Necmettin Erbakan University in Turkey. His Scopus profile reports sixteen indexed documents, one hundred fifty-four citations, and an h-index of five within vehicular communication systems research.[1]

Research Contributions

Published studies contribute to understanding communication technologies supporting connected vehicles, intelligent transportation infrastructure, and related engineering applications. These contributions enhance academic discussion while encouraging continued investigation into efficient vehicular networking solutions.[2]

Publications

Indexed publications demonstrate sustained scholarly activity across peer-reviewed venues. Citation records indicate engagement from the research community, reflecting ongoing academic interest in published findings and related engineering developments.[1]

Research Impact

Bibliometric indicators provide quantitative evidence of scholarly influence. Although citation metrics cannot fully represent research quality, they remain widely applied alongside peer evaluation during institutional and professional assessments.[3]

Award Suitability

Available publication statistics, institutional affiliation, and research specialization provide objective information relevant to award consideration. Final recognition decisions, however, appropriately depend upon independent review processes established by the Global Automobile Award organizers.[4]

Conclusion

The available academic record presents a measurable overview of Hakki Soy’s scholarly activity in vehicular communication systems. Bibliometric evidence offers useful context while complementing qualitative assessment in evaluating research achievement and professional recognition.[1]

References

  1. Elsevier. (n.d.). Scopus author details: Hakki Soy, Author ID 36919180100. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=36919180100
  2. ORCID. (n.d.). ORCID record for Hakki Soy.
    https://orcid.org/0000-0002-6496-8542
  3. Global Automobile Award. Official Award Website.
    https://automobileaward.com/

Volodymyr verbyskyy | Vehicle Dynamics | Innovative Research Award

Innovative Research Award

Volodymyr verbyskyy
Affiliation Coventry University
Country United Kingdom
Scopus ID 57192214559
Documents 151
Citations 587
h-index 10
Subject Area Vehicle Dynamics
Event Global Automobile Award
ORCID 0000-0002-1039-8548

Volodymyr Verbytskyy
Coventry University

This academic recognition article presents a structured review of publicly attributable scholarly indicators associated with Volodymyr Verbytskyy and evaluates their relevance within a formal award consideration context. The review emphasizes publication activity, citation visibility, subject specialization, and measurable scholarly influence within the field of vehicle dynamics while maintaining a neutral and evidence-oriented academic perspective.[1]

Abstract

This article evaluates available academic indicators associated with Volodymyr Verbytskyy for recognition under the INSERT AWARD CATEGORY framework. The assessment considers indexed publication output, citation visibility, disciplinary specialization, and measurable scholarly engagement within the field of vehicle dynamics. Academic indicators such as document volume, citation performance, researcher identification systems, and subject relevance are reviewed as components of structured evaluation. While quantitative metrics provide useful evidence of research visibility and scholarly participation, they do not independently establish distinction. Instead, these indicators contribute to a balanced and evidence-informed assessment process commonly applied in contemporary academic recognition and award evaluation models..[1]

Keywords

Vehicle Dynamics; Research Assessment; Citation Analysis; Scholarly Recognition; Academic Awards

Introduction

Academic recognition frameworks increasingly combine qualitative interpretation with bibliometric indicators. Publication volume, citation influence, researcher identity systems, and field-specific contribution remain central indicators when assessing research visibility and scholarly engagement.[2]

Research Profile

The available research profile indicates sustained activity in vehicle dynamics and related engineering themes. Indexed documentation reports publication activity and citation accumulation across scholarly outputs. ORCID integration additionally supports researcher identification and publication traceability.[1]

Research Contributions

  • Research activity within vehicle dynamics and engineering analysis.
  • Participation in publication and citation ecosystems.
  • Contribution to measurable scholarly visibility.
  • Support of identifiable research outputs and indexing practices.

Publications

Documented publication records indicate a portfolio of indexed outputs associated with engineering and vehicle dynamics research. Citation accumulation provides one indicator of scholarly reach and subsequent reuse within the academic community.[3]

Research Impact

Research impact assessment extends beyond raw publication counts and incorporates citation engagement, subject influence, visibility across indexed systems, and long-term disciplinary relevance. Reported indicators suggest observable academic participation within the selected research domain.[2]

Award Suitability

Within the context of the Global Automobile Award, available indicators may support consideration for academic recognition depending on evaluation criteria, documentation standards, peer review practices, and evidence submitted through the award process. This article does not constitute a formal endorsement and is intended solely as a structured academic review.[4]

Conclusion

The profile reviewed in this article demonstrates documented scholarly activity supported by indexed publication metrics and researcher identification systems. Consideration for recognition under award frameworks remains dependent on evaluation methodology and independent assessment processes.

References

  1. Google Scholar. (n.d.). Google Scholar profile: Volodymyr Verbytskyy. Google Scholar.
    https://scholar.google.com.ua/citations?hl=ru&user=3g9hBY4AAAAJ
  2. ORCID. (n.d.). Researcher identification and scholarly records.
    https://orcid.org/0000-0002-1039-8548
  3. Bifurcation analysis of static stability of a tractor-semitrailer under circular motions.
    https://www.researchgate.net/publication/370962035_Bifurcation_analysis_of_static_stability_of_a_tractor-semitrailer_under_circular_motions

  4. Analysis of divergent bifurcations in the dynamics of wheeled vehicles.
    https://www.researchgate.net/publication/359720550_Analysis_of_divergent_bifurcations_in_the_dynamics_of_wheeled_vehicles

Himanshu Sharma | Automobile Engineering | Young Scientist Award

Young Scientist Award

Himanshu Sharma
Affiliation UIT- Rajiv Gandhi Proudyogiki Vishwavidayaylaya, Bhopal
Country India
Scopus ID 59194737900
Documents 12
Citations 10
h-index 2
Subject Area Automobile Engineering
Event
Global Automobile Award
ORCID 0009-0005-0056-971X

Himanshu Sharma
UIT- Rajiv Gandhi Proudyogiki Vishwavidayaylaya, Bhopal

The Young Scientist Award recognizes emerging academic and technical contributions demonstrating scholarly engagement and measurable research activity. This profile summarizes publication indicators, citation performance, institutional affiliation, and research visibility within automobile engineering.
[1]

Abstract

This academic article evaluates publication activity, citation indicators, institutional participation, and scholarly engagement associated with Himanshu Sharma in automobile engineering.
[1]

Keywords

Young Scientist Award; Automobile Engineering; Research Impact; Emerging Researcher; Citation Metrics

Introduction

Early-career recognition programs commonly assess publication performance, research dissemination, scholarly influence, and discipline-specific contribution.
[3]

Research Profile

Research indicators currently show twelve documents, ten citations, and an h-index value of two.
[1]

Research Contributions

  • Automobile engineering investigations
  • Technical publication activities
  • Applied engineering research dissemination
  • Scholarly visibility development

Publications

  • Review on Nanofluids as Potential Heat Transfer Fluid
  • Novel hybrid vehicle battery cooling system integrating Peltier-based heat sinks

Research Impact

Research influence is reflected through citation visibility and indexed publication presence.
[2]

Award Suitability

The available scholarly indicators align with characteristics commonly considered in emerging researcher recognition programs.
[4]

Conclusion

This profile provides a structured academic overview supporting scholarly recognition consideration.

References

  1. Elsevier. (n.d.). Scopus author details: Himanshu Sharma, Author ID 59194737900.
    https://www.scopus.com/authid/detail.uri?authorId=59194737900
  2. Review on Nanofluids as Potential Heat Transfer Fluid.
    https://www.researchgate.net/publication/366471470_Review_on_Nanofluids_as_Potential_Heat_Transfer_Fluid
  3. Novel hybrid vehicle battery cooling system.
    https://doi.org/10.1177/09544062251343501
  4. Global Automobile Award.
    https://automobileaward.com/

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

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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500
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887
Citations

55
Documents

15
h-index

Citations

Documents

h-index


View Scopus Profile

View ResearchGate Profile

Featured Publications

Xiaokai Chen | Automobile Engineering | Editorial Board Member

Assoc. Prof. Dr. Xiaokai Chen | Automobile Engineering | Editorial Board Member

Research Team Leader | Kunming University of Science and Technology | China

Assoc. Prof. Dr. Xiaokai Chen is an accomplished associate professor whose work centers on environmental health and safety in automobile cabins, contributing significantly to advancements in indoor air quality control, vehicle cabin pollution assessment, and the development of intelligent purification and safety systems for transportation environments. His professional experience includes long-term research and teaching in heating, ventilation, and air-conditioning (HVAC) engineering, where he has led multiple scientific projects, secured patents on innovative air-purification and disinfection technologies, and produced influential publications spanning air-pollution exposure, vehicle-cabin ventilation optimization, and safety-oriented engineering design. His research interests focus on vehicular environmental safety, pollutant behavior in transportation microenvironments, ventilation and purification system design, and risk assessment models for airborne contaminants affecting drivers and passengers. He demonstrates strong research skills in experimental testing, HVAC system design, pollutant detection and modeling, vehicle-cabin environmental analysis, and safety-oriented engineering optimization. His portfolio also showcases achievements such as contributing to monographs and textbooks, advising students who earned competitive academic recognitions, and guiding graduate researchers into industry sectors including construction, rail, quality supervision, and automotive manufacturing. In addition, he has provided extensive academic and social service as a technical expert in automotive research institutions, a member of key engineering societies, a reviewer for high-impact international journals, and an evaluator for national research foundations and academic competitions. His awards and honors reflect his contributions to technology innovation, student mentorship, research excellence, and professional service, reinforcing his reputation as a dedicated scholar promoting healthier and safer vehicular environments. Overall, his work bridges engineering innovation and public well-being, offering impactful solutions to real-world environmental health challenges in modern transportation systems, while sustaining active engagement in academic, industrial, and societal development. He has achieved 514 Citations, 14 Documents, 8 h-index.

Profiles:  Google Scholar  |  Scopus | ORCID

Featured Publications 

1.Feng, L., Xuan, Z., Zhao, H., Bai, Y., Guo, J., Su, C., & Chen, X. (2014). MnO₂ prepared by hydrothermal method and electrochemical performance as anode for lithium-ion battery. Nanoscale Research Letters, 9(1), 290. Citations: 239.

2. Xu, B., Chen, X., & Xiong, J. (2018). Air quality inside motor vehicles’ cabins: A review. Indoor and Built Environment, 27(4), 452–465. Citations: 141.

3. Chen, X., Zhang, G., Zhang, Q., & Chen, H. (2011). Mass concentrations of BTEX inside air environment of buses in Changsha, China. Building and Environment, 46(2), 421–427. Citations: 80.

4. Chen, X., Feng, L., Luo, H., & Cheng, H. (2014). Analyses on influencing factors of airborne VOCs pollution in taxi cabins. Environmental Science and Pollution Research, 21(22), 12868–12882. Citations: 52.

5. Feng, L., Xuan, Z., Bai, Y., Zhao, H., Li, L., Chen, Y., Yang, X., Su, C., Guo, J., et al. (2014). Preparation of octahedral CuO micro/nanocrystals and electrochemical performance as anode for lithium-ion battery. Journal of Alloys and Compounds, 600, 162–167. Citations: 38.

The nominee’s research advances scientific understanding of vehicle-cabin air quality and battery-material performance, addressing critical challenges in public health, environmental protection, and energy storage. His work supports cleaner transportation environments and contributes to the development of safer, more sustainable automotive technologies. Through impactful publications and applied innovation, his research drives progress at the intersection of engineering, society, and global well-being.

 

 

Hongbo Wang | Vehicle Dynamics | Best Researcher Award

Prof. Hongbo Wang | Vehicle Dynamics | Best Researcher Award

Professor  |  Hefei University of Technology  | China

Prof. Hongbo Wang is a distinguished scholar whose work in intelligent vehicle dynamics and control has shaped both academic research and industrial applications, consistently advancing methodologies in vehicle motion modeling, intelligent control algorithms, and automated driving technologies. With extensive experience leading more than forty national, provincial, and municipal projects, his professional contributions span high-impact investigations into off-road vehicle technology, autonomous driving stability, integrated chassis control, and intelligent mobility systems. His research interests focus on vehicle dynamic behavior analysis, intelligent control strategies, computational modeling, and multi-source information fusion for advanced driving systems, supported by strong research skills in algorithm development, real-time system implementation, experimental platform construction, and interdisciplinary engineering integration. His portfolio of scientific achievements includes more than one hundred academic publications, thirty authorized invention patents, six software copyrights, participation in two provincial standard developments, and the publication of two influential monographs, positioning him as a leading contributor to the field’s evolution. His professional experience is complemented by service roles such as External Expert of the Off-Road Vehicle Technology Branch of the Chinese Society of Automotive Engineers, Member of the Vehicle Control and Intelligentization Technical Committee of the Chinese Association of Automation, and Director of the Anhui Society of Automotive Engineers, reflecting broad recognition across national organizations. His awards include the First Prize of the Science and Technology Award of the Chinese Society of Automotive Engineers, the Second Prize of the Machinery Industry Technology Invention Award, and multiple Anhui Provincial Teaching Achievement Awards, underscoring excellence in both research innovation and educational leadership. Overall, his career demonstrates a sustained commitment to advancing intelligent automotive technologies and fostering academic growth in the engineering community. He has achieved 532 Citations,  63 Documents , 12 h-index.

Profile:  Scopus

Featured Publications 

1. Wang, H., et al. (2025). Multi-objective parallel human–machine steering coordination control strategy of intelligent vehicles path tracking based on deep reinforcement learning. Chinese Journal of Mechanical Engineering (English Edition).

2. Wang, H., et al. (2025). Trajectory tracking multi-constraint model predictive control of unmanned vehicles based on sideslip stiffness estimation with XGBoost algorithm. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering.

3. Wang, H., et al. (2025). Yaw stability control of tractor vehicle based on nonsingular fast terminal sliding mode. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering.

4. Wang, H., et al. (2025). Intelligent vehicle path tracking coordinated optimization based on dual-steering cooperative game with fault-tolerant function. Applied Mathematical Modelling.

5. Wang, H., et al. (2025). Identification of intrusion obstacles for underground locomotives based on the fusion of LiDAR and wireless positioning technology. International Journal of Vehicle Performance.

Professor Hongbo Wang’s research advances intelligent vehicle control by integrating reinforcement learning, predictive modeling, and human–machine cooperation to enhance safety, stability, and autonomy. His work contributes directly to next-generation intelligent transportation systems, improves industrial vehicle technologies, and supports global innovation in automated mobility.

Adekanmi Adeyinka | Hybrid Vehicles | Best Researcher Award

Mr. Adekanmi Adeyinka | Hybrid Vehicles | Best Researcher Award

Research Associate | Auburn University | United States

Mr. Adekanmi Miracle Adeyinka is an accomplished researcher, engineer, and educator with a distinguished background in mechanical and energy systems engineering, renewable energy technologies, and sustainable innovation. His professional experience spans academia, industry, and entrepreneurship, combining technical expertise with leadership in renewable energy advocacy and implementation. As Chief Executive Officer of Solar Pride Ltd., he spearheaded transformative projects, including the development of a 10-year renewable energy roadmap for a telecommunications firm, policy advocacy for sustainable energy regulations, and the establishment of the Solar Pride Academy to train young engineers in solar energy technologies. His earlier role as an Energy Consultant at T9 Embedded Systems Laboratory involved leading energy audits, integrating smart grid solutions, and implementing solar-wind hybrid systems that enhanced energy efficiency across industries. In academia, Adeyinka served as Lecturer II at the Federal University of Technology, Akure, where he redesigned the mechanical engineering curriculum and mentored research projects in sustainable energy applications. Currently, as a Graduate Teaching and Research Assistant at Auburn University, his research focuses on thermal management systems for lithium-ion batteries, improving battery performance, safety, and efficiency—work that has led to multiple high-impact publications and conference presentations. His research interests include battery thermal modeling, renewable energy integration, hybrid power systems, sustainable manufacturing, and energy policy development. Adeyinka’s research skills encompass data analysis, modeling, experimental design, energy systems optimization, and climate risk assessment, with proficiency in tools such as MATLAB, COMSOL, ANSYS, Python, and Power BI. His excellence has been recognized through several awards, including the 2024 SAE Doctoral Engineering Scholarship, Commonwealth Scholarship, and Walt Woltosz Fellowship. He is an active member of professional bodies such as ASME, IEEE, COREN, and SAE International. Adeyinka continues to advance the frontiers of clean energy innovation, with a deep commitment to sustainability, academic excellence, and technological advancement. He has achieved 65 Citations,  5 Documents, 3 h-index.

Profiles:  Google Scholar  | ORCID  |  Scopus

Featured Publications 

1. Adeyinka, A. M., Esan, O. C., Ijaola, A. O., & Farayibi, P. K. (2024). Advancements in hybrid energy storage systems for enhancing renewable energy-to-grid integration. Sustainable Energy Research, 11(1), 26.
Citations: 99

2. Adediji, Y. B., Adeyinka, A. M., Yahya, D. I., & Mbelu, O. V. (2023). A review of energy storage applications of lead-free BaTiO₃-based dielectric ceramic capacitors. Energy, Ecology and Environment, 8(5), 401–419.
Citations: 63

3. Adeyinka, A. M., Mbelu, O. V., Adediji, Y. B., & Yahya, D. I. (2023). A review of current trends in thin film solar cell technologies. International Journal of Energy and Power Engineering, 17(1), 1–10.
Citations: 54

4. Osibodu, S. J., Adeyinka, A. M., & Mbelu, O. V. (2024). Phase change material integration in concrete for thermal energy storage: Techniques and applications in sustainable building. Sustainable Energy Research, 11(1), 45.
Citations: 23

5. Ijaola, A. O., Akamo, D. O., Adekanmi, A. M., Saberi, Q., Koken, D., & Asmatulu, E. (2022). Superhydrophobic and self-cleaning electrospun microfibers from recycled styrofoam. Results in Surfaces and Interfaces, 9, 100086.
Citations: 19

Dr. Adekanmi Adeyinka’s research advances the frontiers of clean energy storage and sustainable materials, bridging gaps between renewable energy generation and grid reliability. His pioneering studies on hybrid storage systems, solar technologies, and eco-friendly materials contribute to reducing global carbon footprints and enhancing energy resilience. Through interdisciplinary innovation, his work empowers a transition toward a more sustainable, efficient, and circular energy economy worldwide.

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..