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