Young Scientist Award
Mohammed Boudaoud
Université Polytechnique Hauts-de-France
Mohammed Boudaoud the Young Scientist Award recognizes emerging researchers whose scholarly activities demonstrate promising contributions within their respective academic disciplines. Mohammed Boudaoud, affiliated with Université Polytechnique Hauts-de-France, has established a developing research profile in robotics through scholarly publications indexed in Scopus. His research activities contribute to technological innovation while supporting continued advancement in robotics and intelligent engineering systems.[1]
Abstract
Mohammed Boudaoud’s academic profile reflects participation in robotics research with publications indexed in international scientific databases. His work contributes to engineering knowledge related to robotic technologies while demonstrating scholarly engagement at an early career stage. Bibliometric indicators, including indexed publications, citations, and author metrics, provide measurable evidence of research activity suitable for academic evaluation.[1]
Keywords
Robotics, Intelligent Systems, Automation, Engineering Research, Young Scientist, Scopus Author, France, Research Publications, Academic Recognition, Innovation.
Introduction
The Young Scientist Award acknowledges researchers who have demonstrated measurable academic progress during the early stages of their careers. Evaluation commonly considers publication quality, research visibility, scholarly impact, institutional affiliation, and future research potential. Mohammed Boudaoud’s research profile represents ongoing contributions within robotics and aligns with internationally recognized academic assessment criteria.[1]
Research Profile
Affiliated with Université Polytechnique Hauts-de-France, Mohammed Boudaoud conducts research within the field of robotics. His Scopus author profile reports three indexed publications, five citations, and an h-index of one, indicating the early development of his scholarly record. These bibliometric indicators provide a transparent overview of academic productivity and research dissemination.[2]
Research Contributions
Robotics and Intelligent Engineering recognizes outstanding research contributions that advance robotics, automation, artificial intelligence, and intelligent systems. It honors researchers for impactful peer-reviewed publications, innovative technological developments, and internationally indexed scholarly achievements that drive progress in intelligent engineering and robotic applications.
Publications
The researcher’s publications are indexed in the Scopus database and contribute to the robotics literature. Individual publications include persistent identifiers such as Digital Object Identifiers (DOIs), facilitating permanent scholarly citation and accessibility where assigned by publishers.[3]
Research Impact
Research impact can be assessed through bibliometric indicators including citation counts, publication indexing, and h-index values. Although the research profile represents an early stage of academic development, existing publications demonstrate visibility within recognized scientific databases and establish a foundation for future scholarly growth.[2]
Award Suitability
Based on publicly available academic metrics, Mohammed Boudaoud demonstrates characteristics commonly associated with emerging researchers, including indexed scholarly publications, measurable citation activity, institutional research engagement, and specialization in robotics. These objective indicators support consideration for recognition programs focused on early-career scientific achievement while acknowledging that final award decisions depend upon the evaluation criteria established by the awarding organization.[4]
Conclusion
Mohammed Boudaoud’s academic profile illustrates an emerging contribution to robotics research through internationally indexed publications and measurable scholarly activity. Continued research productivity, collaboration, and scientific dissemination may further enhance the visibility and impact of his work within the international robotics community.[1]
External Links
References
- Elsevier. (n.d.). Scopus author details: Mohammed Boudaoud, Author ID 59715904300. Scopus.
https://www.scopus.com/authid/detail.uri?authorId=59715904300
- ORCID. (n.d.). Researcher Profile: Mohammed Boudaoud.
https://orcid.org/0009-0009-2991-0394
- Crossref. (n.d.). Digital Object Identifier (DOI) Foundation. DOI reference information.
- International Popular Scientist Awards. (n.d.). Award information and nomination details.
https://popularscientist.com/
- Boudaoud, M., Puig, V., Sentouh, C., El Najjar, M. E., & Cappelle, C. (2026). Zonotopic set-based fault detection for driver behavior monitoring. Control Engineering Practice.