Mohammed Boudaoud | Robotics | Young Scientist Award

Published on by International Popular Scientist Awards

Young Scientist Award

      Mohammed Boudaoud
Affiliation Université Polytechnique Hauts-De-France
Country France
Scopus ID 59715904300
Documents 3
Citations 5
h-index 1
Subject Area Robotics
Event International Popular Scientist Awards
ORCID 0009-0009-2991-0394

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]

References

  1. Elsevier. (n.d.). Scopus author details: Mohammed Boudaoud, Author ID 59715904300. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=59715904300
  2. ORCID. (n.d.). Researcher Profile: Mohammed Boudaoud.
    https://orcid.org/0009-0009-2991-0394
  3. Crossref. (n.d.). Digital Object Identifier (DOI) Foundation. DOI reference information.
  4. International Popular Scientist Awards. (n.d.). Award information and nomination details.
    https://popularscientist.com/
  5. 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.

Oleg Maschev | Robotics | Innovative Research Award

Published on by International Popular Scientist Awards

Innovative Research Award

Oleg Maschev
Federal State Budgetary Scientific Institution “Federal Scientific Agroengineering Center VIM”

                 Oleg Maschev
Affiliation Federal State Budgetary Scientific Institution “Federal Scientific Agroengineering Center VIM”
Country Russia
Documents 1
Subject Area Robotics
Event International Popular Scientist Awards
ORCID 0009-0002-1846-2126

Oleg Maschev the Innovative Research Award article presents a scholarly overview of Oleg Maschev and his professional association with the Federal State Budgetary Scientific Institution “Federal Scientific Agroengineering Center VIM.” The profile highlights contributions within the field of robotics and evaluates the relevance of the researcher’s work to the objectives of the International Popular Scientist Awards. The article follows a neutral encyclopedic structure designed for academic recognition and research assessment.[1]

Abstract

This article documents the academic and research profile of Oleg Maschev in the area of robotics and agroengineering innovation. Affiliated with the Federal State Budgetary Scientific Institution “Federal Scientific Agroengineering Center VIM,” the researcher contributes to technological advancement through scientific investigation and engineering applications. The profile is presented in the context of evaluating eligibility and relevance for recognition through the International Popular Scientist Awards, which emphasize innovation, scientific contribution, and societal benefit.[2]

Keywords

Robotics, agroengineering, and automation systems are transforming modern industries through scientific innovation. Engineering research drives technology development, enhancing productivity, sustainability, precision, and efficiency while creating advanced solutions for agricultural and industrial challenges.

Introduction

Robotics continues to transform industrial, agricultural, and scientific environments through automation, intelligent systems, and data-driven operational models. Researchers working in this discipline contribute to productivity improvements, precision control technologies, and sustainable engineering solutions. Oleg Maschev’s affiliation with a specialized agroengineering research institution positions his work within a field where robotics can significantly influence agricultural modernization and technological efficiency.[1]

Research Profile

Oleg Maschev is associated with the Federal State Budgetary Scientific Institution “Federal Scientific Agroengineering Center VIM,” a research organization engaged in advancing engineering technologies relevant to agricultural systems and mechanized processes. The researcher’s documented activity is categorized within the subject area of robotics, reflecting involvement in technological development, system optimization, and engineering innovation.[3]

The available academic documentation demonstrates participation in scientific work that aligns with contemporary research directions involving automation, intelligent machinery, and the integration of advanced engineering methodologies within applied environments.[3]

Research Contributions

Research contributions within robotics commonly address challenges associated with machine autonomy, sensor integration, adaptive control mechanisms, and operational efficiency. The institutional environment in which Oleg Maschev conducts research supports multidisciplinary engineering approaches intended to enhance technological performance and practical implementation.[3]

Publications

Available records indicate one documented scholarly contribution associated with the researcher. Although detailed bibliographic information is limited within the provided dataset, the publication contributes to the researcher’s academic profile and serves as evidence of participation in formal scientific dissemination processes.[4]

Research Impact

The impact of robotics research extends beyond laboratory settings by supporting industrial modernization, precision operations, and sustainable engineering practices. Research conducted within agroengineering contexts contributes to technological readiness and promotes practical adoption of advanced systems. Such work is relevant to broader scientific goals involving efficiency, innovation, and digital transformation.[5]

The researcher’s institutional affiliation suggests engagement with scientific initiatives intended to address contemporary engineering challenges through evidence-based technological development and applied innovation.[3]

Award Suitability

The International Popular Scientist Awards recognize individuals whose research activities demonstrate scientific relevance, innovation, and potential societal value. Based on the available profile information, Oleg Maschev’s involvement in robotics research and affiliation with a specialized scientific institution align with key evaluation considerations frequently associated with research recognition programs.[2]

Conclusion

Oleg Maschev represents a research profile connected to the advancement of robotics within an agroengineering framework. Through institutional engagement and documented scholarly activity, the researcher contributes to ongoing technological development and scientific progress. The profile demonstrates characteristics consistent with academic recognition initiatives that value innovation, technical expertise, and contributions to applied research.[1]

References

  1. ORCID. (n.d.). Oleg Maschev ORCID profile,
    https://orcid.org/0009-0002-1846-2126
  2. International Popular Scientist Awards. (n.d.). Award objectives, evaluation criteria, and scientific recognition framework.
    https://popularscientist.com/
  3. Federal Scientific Agroengineering Center VIM. (n.d.). Institutional research activities and engineering innovation programs.
  4. Crossref. (n.d.). Digital Object Identifier (DOI) registration and scholarly publication indexing resources.
  5. Elsevier. (n.d.). Research trends in robotics, automation, and engineering innovation.

Sara Baber Sial | Human-Robot Interaction | Best Researcher Award

Published on by International Popular Scientist Awards

Assoc. Prof. Dr. Sara Baber Sial | Human-Robot Interaction | Best Researcher Award

Senior Research Fellow at Monash University |  Australia

Dr. Sara Baber Sial is a Senior Research Fellow and Adjunct Senior Lecturer at the Department of Data Science & AI, Monash University, Australia, and serves as an Honorary Research Fellow at Coventry University, UK. She holds a Ph.D. in Robotics and Artificial Intelligence from NUST (Pakistan), an MSc by Research from Middlesex University (UK), and a Bachelor’s in Mechatronics Engineering.

Profile:

Academic Background:

Dr. Sial holds a Ph.D. in Robotics and Artificial Intelligence from the National University of Sciences and Technology (NUST), Pakistan. She also earned an M.Sc. (By Research) in Robotics and Controls from Middlesex University, London, and a Bachelor’s in Mechatronics Engineering from NUST.

Research and Teaching Experience:

With over 12 years of academic and research experience, Dr. Sial has taught more than 15 undergraduate and postgraduate subjects, developed new academic modules, and supervised over 30 research students, including 2 Ph.D. and 15 MS graduates. She has held senior academic positions at NUST and collaborated across institutions in Pakistan, the UK, and Australia.

Research Grants and Projects:

Dr. Sial has served as Principal or Co-Principal Investigator on 13+ national and international funded projects, securing over £459,000 in grants. Her projects span AI, robotics, telepresence, autism therapy, cultural heritage preservation, and solar-powered IoT solutions. Notable sponsors include the British Council, Higher Education Commission of Pakistan, and the Canada Fund for Local Initiatives.

Innovation and Patents:

She is an active innovator with one granted patent, multiple design and utility patents filed, and six software copyrights in process. Her inventions include robotic legs, medical imaging tools, solar cold storage systems, and immersive telepresence platforms.

Leadership Roles:

Dr. Sial is the founding director of two prominent research labs: the NUST-Coventry Human-Robot Interaction Lab (international collaboration) and the Intelligent Field Robotics Lab under the National Center for Artificial Intelligence (NCAI) in Pakistan. She has also held academic leadership roles such as Deputy Head of Department, Program Coordinator, and Industrial Liaison Officer.

Recognitions and Impact:

Dr. Sial has received numerous awards including the Top NUST Performer Award, Best Researcher Award, Best Teacher Award, and multiple Best Paper Awards at international conferences. With over 60 publications, an h-index of 10, 100+ cumulative impact factor, and 433+ citations, she continues to make a significant impact in the fields of Robotics and Artificial Intelligence.

Citation Metrics (as per Google Scholar):

  • Total Citations: 654

  • Citations Since 2020: 588

  • h-index: 13

  • h-index Since 2020: 13

  • i10-index: 24

  • i10-index Since 2020: 20

Publication Top Notes:

  • An adaptive multi-robot therapy for improving joint attention and imitation of ASD children
    2019 – Citations: 87

  • Signgraph: An efficient and accurate pose-based graph convolution approach toward sign language recognition
    2023 – Citations: 47

  • Analysis of BYOD security frameworks
    2015 – Citations: 37

  • Comparing the effectiveness of different reinforcement stimuli in a robotic therapy for children with ASD
    2020 – Citations: 30

  • Dominance in visual space of ASD children using multi-robot joint attention integrated distributed imitation system
    2019 – Citations: 29