Davide Ronco | Automobile Engineering | Innovative Research Award

Posted on by Automobile 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

Farhad Oroumchian | EV Charging Infrastructure | Innovative Research Award

Posted on by Automobile Award

Innovative Research Award

Farhad Oroumchian
University of Wollongong in Dubai, United Arab Emirates

Farhad Oroumchian
Affiliation University of Wollongong in Dubai
Country United Arab Emirates
Scopus ID 8865329300
Documents 70
Citations 788
h-index 15
Subject Area EV Charging Infrastructure
Event Global Automobile Award
ORCID 0000-0001-7942-5965

The Innovative Research Award recognizes research contributions that demonstrate methodological quality, relevance, and potential value to their respective fields. Farhad Oroumchian is presented in connection with research activity in EV Charging Infrastructure, with an academic profile associated with 70 documents, 788 citations, and an h-index of 15.

Abstract

Farhad Oroumchian is an academic researcher affiliated with the University of Wollongong in Dubai whose documented research activity includes work relevant to EV Charging Infrastructure. His scholarly profile records 70 documents, 788 citations, and an h-index of 15, providing quantitative indicators of sustained publication and citation activity. Research in electric vehicle charging infrastructure addresses important challenges associated with charging accessibility, system integration, energy management, interoperability, and sustainable transportation. Within the context of the Innovative Research Award, his profile represents research activity aligned with technological development and emerging mobility requirements. The recognition emphasizes scholarly contribution, relevance, research continuity, and potential practical value to automobile engineering.

Keywords

Innovative Research Award; Farhad Oroumchian; EV Charging Infrastructure; electric vehicles; charging systems; sustainable mobility; automobile engineering; energy management; transportation technology; research impact.

Introduction

Electric vehicle charging infrastructure is an important research area within the transition toward electrified transportation. Research addresses charging networks, energy demand, infrastructure planning, intelligent charging, and integration with electricity systems. These topics require interdisciplinary approaches combining engineering, energy systems, information technologies, and transportation research.

Academic assessment commonly considers publication activity alongside citation indicators and broader evidence of research contribution. Scopus provides bibliographic and citation information that can support the evaluation of scholarly output, while ORCID provides persistent identification for researchers and their works.[1][2]

Research Profile

Farhad Oroumchian is affiliated with the University of Wollongong in Dubai, United Arab Emirates. The supplied Scopus profile identifies the researcher with Author ID 8865329300 and records 70 documents, 788 citations, and an h-index of 15. These indicators describe the documented scholarly record used for this recognition.

  • Affiliation: University of Wollongong in Dubai.
  • Primary subject area: EV Charging Infrastructure.
  • Scopus documents: 70.
  • Reported citations: 788.
  • Reported h-index: 15.

Research Contributions

Research associated with EV Charging Infrastructure contributes to the development of transportation systems capable of supporting growing electric vehicle adoption. Key research dimensions include charging availability, infrastructure optimization, energy efficiency, charging coordination, grid interaction, and user-oriented charging services.

The broader field also involves integration between charging infrastructure and emerging smart-mobility systems. Such integration can support improved utilization of energy resources and more coordinated transportation planning. Scholarly contributions are therefore evaluated through technical rigor, relevance, reproducibility, and demonstrated applicability.

Publications

The supplied research profile reports 70 Scopus-indexed documents associated with Farhad Oroumchian. Because individual publication titles, journal information, publication years, and DOI identifiers were not supplied, this page does not attribute specific publications or DOI records without verification. The publication count is presented as a profile-level bibliometric indicator.

Publication assessment may consider peer-reviewed outputs, relevance to the subject area, methodological quality, citation performance, and contribution to ongoing research. Bibliographic databases can provide useful quantitative evidence, although publication and citation indicators should be interpreted within the context of disciplinary practices.[1]

Research Impact

The reported 788 citations indicate that the research record has received substantial scholarly attention within the indexed literature. The h-index of 15 further indicates a measurable body of publications that has reached corresponding citation thresholds. These indicators provide quantitative evidence but do not independently establish societal or technological impact.

Award Suitability

The Innovative Research Award is suitably aligned with a research profile focused on EV Charging Infrastructure because the field addresses emerging technological requirements in electric mobility. Farhad Oroumchian’s reported publication and citation indicators provide a quantitative basis for considering sustained scholarly activity within this research domain.

Conclusion

Farhad Oroumchian’s documented academic profile reflects sustained research activity, with 70 documents, 788 citations, and an h-index of 15. His association with EV Charging Infrastructure places the research within a strategically important area of electric mobility. The profile therefore provides relevant evidence for consideration under an Innovative Research Award framework.

References

  1. Elsevier. (n.d.). Scopus author details: Farhad Oroumchian, Author ID 8865329300. Scopus.
    https://www.scopus.com/pages/authors/8865329300
  2. ORCID. (n.d.). ORCID record: Farhad Oroumchian. ORCID.
    https://orcid.org/0000-0001-7942-5965
  3. Global Automobile Award. (n.d.). Global Automobile Award.
    https://automobileaward.com/

  4. A Multi-Criteria and AI-Assisted Optimization Framework for EV Charging Station Optimization in Mixed Urban–Rural Contexts.
    https://www.mdpi.com/2032-6653/17/5/243

  5. Time sensitive blog retrieval using temporal properties of queries.
    https://www.researchgate.net/publication/287998154_Time_sensitive_blog_retrieval_using_temporal_properties_of_queries

  6. Integration of data fusion and reinforcement learning techniques for the rank-aggregation problem.
    https://link.springer.com/article/10.1007/s13042-015-0442-6

Erfan Abbasi Shahisaraei | Electric Vehicles | Student Research Paper Award

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Mr. Erfan Abbasi Shahisaraei | Electric Vehicles | Student Research Paper Award

PhD Student | Tarbiat Modares University | Iran

Mr. Erfan Abbasi Shahisaraei is a mechanical engineering researcher with strong expertise in fatigue life analysis, advanced structural design, and composite and architected materials. Professional experience includes research and engineering roles focused on electric vehicle battery pack design, vibration and shock analysis under international standards, reverse engineering of steelmaking equipment, and structural and fatigue analysis of industrial systems using advanced FEA tools. Research interests span fatigue and dynamic behavior of electric vehicle components, lattice and fiber-reinforced composites, fracture mechanics, and optimization-driven structural design. Research skills include finite element modeling, fatigue assessment, multi-body dynamics, numerical optimization, and engineering simulation using industry-standard software and programming tools. Awards and honors reflect consistent academic and research excellence through competitive projects and peer-reviewed publications. Overall, the work demonstrates a strong integration of theory, simulation, and applied engineering for energy and transportation systems.He has achieved 1 document.


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Featured Publication


Numerical Fatigue Life Analysis for Battery Pack of Electric Bus Under Random Vibration


– Iranian Journal of Science and Technology, Transactions of Mechanical Engineering, 2025

Wanke cao | Electric Vehicles | Best Paper Award

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Prof. Wanke Cao | Electric Vehicles | Best Paper Award

Director of the Department of In-Vehicle Network Technologies |  Shenzhen Automotive Research Institute (SZART) | China

Prof. Wanke Cao is an established academic and researcher in electric vehicle engineering, with a strong profile spanning summary, professional experience, research interests, research skills, awards and honors, and overall contributions to the field. His professional experience includes long-term academic leadership and research roles in electric vehicle systems, in-vehicle networks, and intelligent automotive technologies, with international research exposure and institutional responsibilities. His research interests focus on networked control of electric vehicles, vehicle dynamics and control, and in-vehicle network technologies. His research skills include modeling and control of vehicle systems, intelligent transportation technologies, embedded and networked automotive systems, and applied engineering research. He has received recognition for sustained research output, academic service, and technical contributions. Overall, his work demonstrates consistent impact on electric vehicle technology development and scholarly advancement. He has acheived 1195 Citations, 69 Documents,16 h-index.

Citation Metrics (Scopus)

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1,195
Citations

69
Documents

16
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h-index

 


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Top 5 Publications

Bao Xie | Electric Vehicles | Editorial Board Member

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Dr. Bao Xie | Electric Vehicles | Editorial Board Member

lecturer | Hefei University of Technology | China

Dr. Bao Xie is an accomplished researcher and lecturer specializing in Electrical Engineering with a strong academic foundation and extensive experience in renewable energy systems, grid-connected power generation, and inverter stability control. Currently serving as a lecturer and supervisor of master’s candidates at the Hefei University of Technology, he has established a solid reputation in the fields of power electronics, control theory, and grid integration of renewable energy sources. His research primarily focuses on the control and stability of renewable energy grid-connected power systems, addressing challenges related to weak grid conditions, harmonic resonance, and digital control of large-scale photovoltaic (PV) plants. Over the years, Dr. Xie has demonstrated exceptional technical acumen and problem-solving ability, contributing significantly to multiple national and provincial-level research projects, including the Anhui Provincial Natural Science Foundation and the National Key Research and Development Programs. His research skills encompass advanced modeling, control strategy design, resonance analysis, and power conversion optimization, supported by a profound understanding of grid dynamics and inverter interactions. Dr. Xie’s scholarly contributions include over 60 publications in prestigious journals such as IEEE Transactions on Energy Conversion, IET Power Electronics, and International Journal of Electrical Power and Energy Systems, showcasing innovative approaches to improving grid stability and renewable integration. His dedication to academic excellence has earned him recognition as a promising figure in the next generation of electrical engineers, with his work offering impactful insights for sustainable and intelligent energy systems. Through his continuous pursuit of innovation, collaboration, and mentorship, he exemplifies the integration of theory and practical engineering for real-world energy applications. He has achieved 653 Citations, 61 Documents, 15h-index.

Profile:   Scopus

Featured Publications 

  1. Xie, B., Zheng, W., Li, P., Shi, Y., & Su, J. (2025). Stability analysis and admittance reshaping for PQ inverters with different power control methods. International Journal of Electrical Power and Energy Systems.

  2. Xie, B., Zhang, Q., Liu, T., Zhou, L., & Hao, G. (2025). Research on multi-model LQR control strategy for grid-connected inverters under weak grid. Electric Power Systems Research.

  3. Xie, B., Guo, K., Mao, M., Zhou, L., Liu, T., & Zhang, Q. (2025). Optimization of energy storage capacity of village-level microgrid considering the orderly charging of electric vehicles. Sustainable Energy Grids and Networks.

  4. Xie, B., Zhou, L., Liu, T., Zhang, Q., & Hao, G. (2025). Topology and control method of interleaved parallel DC/DC converters with ripple compensation for fuel cell applications. Journal of Power Electronics.

  5. Xie, B., Mao, M., Liu, T., Zhou, L., & Zhang, Q. (2025). State prediction consistency secondary control strategy for microgrids with adaptive virtual impedance. Dianji Yu Kongzhi Xuebao (Electric Machines and Control).

    Dr. Bao Xie’s research advances the stability, efficiency, and intelligence of renewable energy integration within modern power grids. His innovative control strategies for inverters and microgrids foster sustainable energy transitions and resilient smart grid infrastructures. Through interdisciplinary research bridging academia and industry, his work supports global innovation in clean energy technologies and digital power systems.