Davide Ronco | Automobile Engineering | Innovative Research Award

Innovative Research Award

Davide Ronco — MW Italia s.r.l., Italy

Davide Ronco
Affiliation MW Italia s.r.l.
Country Italy
Scopus ID 60205573100
Documents 3
Citations 2
h-index 1
Subject Area Automobile Engineering
Event Global Automobile Award
ORCID 0009-0002-4004-5636

Davide Ronco is a researcher affiliated with MW in Italy whose indexed scholarly record includes three documents, two citations, and an h-index of one. His profile is associated with Automobile Engineering and is presented in connection with the Innovative Research Award at the Global Automobile Award. Bibliographic identifiers provide a structured basis for documenting scholarly output and research visibility. [1]

Abstract

Davide Ronco is an Italy-based researcher affiliated with MW whose documented scholarly profile is associated with Automobile Engineering. The available bibliometric record lists three documents, two citations, and an h-index of one, providing a concise quantitative description of indexed research activity. His ORCID identifier and Scopus Author ID provide persistent mechanisms for distinguishing the researcher from other scholars and for connecting publications with an individual academic record. The Innovative Research Award profile recognizes this documented research presence within the broader context of automotive engineering, where research increasingly encompasses electrification, intelligent vehicles, connectivity, efficiency, safety, and related technological developments. [1] [2]

Keywords

  • Davide Ronco
  • Innovative Research Award
  • Automobile Engineering
  • Automotive Research
  • Automotive Technology
  • Research Profile
  • Global Automobile Award

Introduction

Automobile engineering integrates mechanical, electrical, electronic, computational, materials, and transportation disciplines to address vehicle design and performance. Contemporary research also considers electrification, automation, connectivity, energy efficiency, and safety. These areas create multidisciplinary opportunities for researchers whose scholarly work contributes to the development, analysis, testing, or understanding of modern automotive systems.

Research Profile

The available research profile identifies Davide Ronco with MW in Italy and places the record within Automobile Engineering. The Scopus identifier 60205573100 enables bibliographic records to be associated with a specific author profile. ORCID 0009-0002-4004-5636 provides an additional persistent researcher identifier for scholarly attribution and interoperability across research systems. [1] [2]

Research Contributions

The supplied bibliometric information establishes a measurable scholarly record but does not provide sufficient publication-level detail to attribute particular technical discoveries, methods, or inventions to Davide Ronco. Accordingly, the research contribution profile should be interpreted from verified publications and associated records rather than inferred solely from citation counts. This approach supports accurate academic recognition and avoids unsupported claims about specific research outcomes. [1]

Publications

The indexed profile supplied for this recognition page contains three documents. Publication titles, journals, years, author lists, and DOI identifiers were not provided in the input data. Consequently, no individual publication is attributed to Davide Ronco here without additional bibliographic verification. The Scopus Author ID can be used to inspect the indexed publication record and associated citation information. [1]

Research Impact

The supplied record reports two citations across three indexed documents and an h-index of one. These measures describe citation activity within the relevant indexed database and should be interpreted in relation to publication age, disciplinary citation practices, document types, and database coverage. Bibliometric indicators are quantitative descriptors and do not independently establish the scientific or practical value of individual research contributions. [1]

Award Suitability

The Innovative Research Award profile places Davide Ronco within the Automobile Engineering subject area and documents the supplied affiliation and bibliometric identifiers. The reported record of three documents, two citations, and an h-index of one provides measurable evidence of indexed scholarly activity. Formal award consideration may additionally require review of publications, originality, methodology, relevance, supporting documentation, and other criteria established by the Global Automobile Award.

Conclusion

Davide Ronco’s profile records an academic association with MW in Italy and a Scopus-indexed research record comprising three documents, two citations, and an h-index of one. The profile is categorized under Automobile Engineering and linked with the Innovative Research Award at the Global Automobile Award. Further assessment can incorporate verified publication details and supporting evidence.

References

  1. Elsevier. (n.d.). Scopus author details: Davide Ronco, Author ID 60205573100. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=60205573100
  2. ORCID. (n.d.). Davide Ronco: ORCID record 0009-0002-4004-5636. ORCID.
    https://orcid.org/0009-0002-4004-5636
  3. Ronco, D., Gallio, G., Fontana, R., & Pellerey, F. (2026). Application of deep learning methodologies in steel wheel design. Material Design & Processing Communications, 2026(1), 1–19.
    https://onlinelibrary.wiley.com/doi/10.1155/mdp2/1430406

Husham Saied | Vehicle Dynamics | Research Excellence Award

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.

 

Citation Metrics (Scopus)

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105
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6
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5
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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)

Youqun Zhao | Vehicle Dynamics | Research Excellence Award

Prof. Dr.Youqun Zhao | Vehicle Dynamics | Research Excellence Award

Second-level Professor  |  Nanjing University of Aeronautics and Astronautics  |  China

Prof. Dr. Youqun Zhao is a leading scholar in vehicle engineering and intelligent transportation systems, with extensive contributions spanning green intelligent transport equipment, new-energy and electric vehicles, vehicle safety and control, non-pneumatic mechanical elastic wheels, and human–machine shared control for autonomous driving. Professional experience reflects long-term leadership in advanced vehicle dynamics, handling inverse dynamics, and intelligent control, alongside visiting and collaborative international research roles. Research interests focus on vehicle system dynamics, unmanned and co-driving vehicles, mechanical elastic wheel technology, suspension and steering control, and energy-efficient mobility systems. Research skills include theoretical modeling, inverse dynamics, multi-objective optimization, control algorithms, simulation–experiment integration, and patent development. Awards and honors include multiple national and ministerial science and technology prizes, invention awards, and recognition among the world’s top 2% scientists. Overall, the work demonstrates sustained impact, innovation, and academic excellence in automotive and intelligent vehicle engineering.He has achieved 2904 Citations, 261 Documents, 28 h-index.

 

Citation Metrics (Scopus)

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2904
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Featured Publications

Mehdi Modabberifar | Automobile Engineering | Research Excellence Award

Assoc. Prof. Dr. Mehdi Modabberifar | Automobile Engineering | Research Excellence Award

Associate Professor | Arak University | Iran

Assoc. Prof. Dr. Mehdi Modabberifar is an accomplished researcher with sustained contributions to mechatronic systems, advanced manufacturing, and electrostatic-based actuation technologies, demonstrating a strong balance between theoretical modeling and experimental validation. His professional experience includes active involvement in academic research environments, collaborative projects, and applied engineering studies addressing challenges in precision actuation, robotic manipulation, and smart material systems. His research interests focus on manufacturing processes, mechatronic system design, electrostatic actuators and motors, sensors, gecko-inspired adhesives, robotic grippers, and micro- and nano-scale manipulation, with applications spanning robotics, automation, and intelligent mechanical systems. His research skills encompass system modeling and simulation, actuator and sensor design, experimental mechanics, electrostatic induction mechanisms, robotic end-effector development, data analysis, and performance optimization under varying operational conditions. He has authored a diverse body of peer-reviewed journal and conference publications in reputable international outlets, with several widely cited works on gecko-inspired robotic grippers, electrostatic motors, dielectric sheet conveying, and smart actuator behavior, reflecting both originality and impact. His scholarly output demonstrates interdisciplinary reach across robotics, materials, and manufacturing engineering. Awards and honors include recognition through citation impact and research visibility within his fields of expertise. Overall, his work reflects a consistent trajectory of innovation, methodological rigor, and meaningful contribution to modern mechatronics and intelligent manufacturing research. He has achieved 202 Citations 23 Documents 7 h-index.

 

Citation Metrics (Scopus)

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202
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23
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7
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