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.

Nael Radwan | Computer Science | Research Excellence Award

Published on by International Popular Scientist Awards

Dr. Nael Radwan | Computer Science | Research Excellence Award

Dr. Nael Radwan is a computer science researcher specializing in Internet of Things, network security, and computer networks, with strong expertise in protocol optimization and distributed systems. His research focuses on securing IoT environments through adaptive flow control, authentication mechanisms, and performance evaluation under high-load conditions. He has contributed multiple peer-reviewed publications addressing MQTT protocol security and system resilience. His academic experience includes teaching, curriculum design, and student mentoring across diverse computing disciplines. He integrates research with teaching, emphasizing outcomes-based education, instructional technology, and ethical computing, while contributing to academic assessment, program development, and innovation in technology-enhanced learning environments.

Citation Metrics (Google Scholar)

1200

1000

800

600

400

200

0

Citations
1111

h-index
22

🟦 Citations    🟥 i10-index    🟩 h-index


View Google Scholar Profile

Featured Publications


A Study: The Future of the Internet of Things and Its Home Applications

– International Journal of Computer Science and Information Security


Big Data Ethics

– International Journal of Computer Science and Information Security


MQTT in Focus: Understanding the Protocol and Its Recent Advancements

– International Journal of Computer Science and Security


Underwater Communication through Medium Access Control

– International Journal of Computer Science

 

Peng Bo | Robotics | Excellence in Scientific Innovation Award

Published on by International Popular Scientist Awards

Dr. Peng Bo | Robotics | Excellence in Scientific Innovation Award

Tsinghua University | China

Dr. Peng Bo is a researcher specializing in control systems, networked autonomous vehicles, and advanced filtering techniques, with a focus on H∞ filtering and event-based control methods for complex networked systems. His work integrates rigorous mathematical modeling, augmented Lyapunov functional approaches, and innovative algorithm design to enhance stability, performance, and reliability in mass-switching autonomous multi-vehicle systems. With a strong foundation in system dynamics and networked control, he has contributed to several high-impact publications, demonstrating a practical yet theoretically robust research approach. His research has influenced both academic developments and real-world applications in intelligent transportation and autonomous systems, reflecting measurable impact through citations and collaborative contributions in his field. Dr. Peng Bo continues to advance methodologies for robust control and optimization in interconnected, dynamic environments.

Citation Metrics (Scopus)

20

15

10

5

0

Citations
10

Documents
5

h-index
2

🟦 Citations   🟥 Documents   🟩 h-index


View Scopus Author Profile

Featured Publications

Chien-I Chang | Robotics | Research Excellence Award

Published on by International Popular Scientist Awards

Mr. Chien-I Chang | Robotics | Research Excellence Award

National Chiayi University | Taiwan

Mr. Chien-I Chang is a robotics researcher whose work integrates intelligent systems, autonomous control, and applied computer science to advance next-generation robotic technologies. His research centers on designing adaptive robotic platforms capable of operating in dynamic, unstructured, or human-interactive environments, with a strong emphasis on sensor fusion, machine perception, and real-time decision-making. He has extensive experience developing autonomous navigation algorithms, robotic manipulation systems, and embedded architectures optimized for efficiency, stability, and scalability. His work bridges theoretical modeling with practical engineering, resulting in robotics solutions that are deployable across industrial, educational, and service-oriented settings. Through continuous exploration of mechatronic integration, computer vision, and learning-based control, he aims to enhance robot autonomy and expand practical use cases in daily life. His professional experience includes leading innovative robotics projects, mentoring teams in advanced robotic development, and transforming research outcomes into functional systems with societal impact. He is particularly interested in scalable and modular robotic designs that lower entry barriers for automation and support real-world problem solving. His research philosophy focuses on combining rigorous scientific inquiry with hands-on experimentation to accelerate the evolution of intelligent robotics. Through his academic pursuits and ongoing contributions to the robotics industry, he remains committed to advancing the performance, reliability, and accessibility of robotic technologies while fostering innovation that benefits education, industry, and broader communities.

Profile: Scopus

Featured Publication

Chang, C.-I., (2025). A low-cost autonomous outdoor robot with stabilized controller and deep-learning integrated GPS navigator under end-to-end implementation. Journal of the Chinese Institute of Engineers / Transactions of the Chinese Institute of Engineers, Series A. Advance online publication.

Lacrimioara Grama | Social Robotics | Best Researcher Award

Published on by International Popular Scientist Awards

Assoc. Prof. Dr. Lacrimioara Grama | Social Robotics | Best Researcher Award

Technical University of Cluj-Napoca, Romania

Lăcrimioara-Romana Grama is an Associate Professor at the Technical University of Cluj-Napoca, Faculty of Electronics, Telecommunications and Information Technology, within the Basis of Electronics Department. She holds a PhD in Electronic Engineering and Telecommunications, with expertise in digital signal processing, data modeling, and electronic systems.

Profile:

Educational Background:

She holds a PhD in Electronic Engineering and Telecommunications, awarded Magna Cum Laude. Additionally, she completed an MSc in Design Techniques for Complex Electronic Circuits and an Engineer Diploma in Communications. She has also obtained certifications in pedagogy and academic leadership from institutions such as Harvard Graduate School of Education, Babson College, and University POLITEHNICA of Bucharest.

Leadership and Administrative Roles:

Grama currently serves as Vice-Dean and President of the Faculty Scholarship Committee. She has coordinated master-level admissions, represented her faculty in various university-wide and European initiatives (including EUt+ and RO European Universities), and contributed to numerous accreditation processes for academic programs.

Scientific and Academic Contributions:

She has actively participated in organizing international conferences such as RTSP, SpeD, and SPAMEC, often as a technical chair. Her roles also include session chair and technical program committee member for major conferences like IEEE ICIIP, EUSIPCO, and VisionNet.

Community and Institutional Engagement:

Beyond teaching and research, she has shown a strong commitment to community-building within the academic ecosystem through student mentorship, promotion of study programs, coordination of Erasmus students, and sustained involvement in faculty governance.

Google Scholar Citation Metrics:

  • Total citations: 452

  • Citations since 2020: 251

  • h-index: 11

  • h-index since 2020: 9

  • i10-index: 15

  • i10-index since 2020: 8

Publication Top Notes:

Audio signal classification using linear predictive coding and random forests
2017
34

On the optimization of SVM kernel parameters for improving audio classification accuracy
2017
31

Supercapacitor modelling using experimental measurements
2009
25

Adding audio capabilities to TIAGo service robot
2018
23

A novel wearable foot and ankle monitoring system for the assessment of gait biomechanics
2020
22

Extending assisted audio capabilities of TIAGo service robot
2019
18

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

Yunfei Zì | Computer Science | Best Researcher Award

Published on by International Popular Scientist Awards

Dr. Yunfei Zì | Computer Science | Best Researcher Award

Researcher Wuhan University of Technology China

Zi Yunfei is a distinguished researcher specializing in voiceprint recognition and artificial intelligence, affiliated with the Wuhan University of Technology. His expertise lies in developing advanced speaker verification systems and acoustic feature extraction methods, especially within IoT contexts. Currently, he is concluding his Ph.D. under the guidance of Professor Xiong Shengwu.

Profile

Orcid

Google scholar

Education 🎓

  • Ph.D. in Computer Science and Technology (2019–2023) – Wuhan University of Technology
  • M.Eng. in Information and Communication Engineering (2016–2019) – Beijing University of Graphic Arts
  • B.Eng. in Computer Science and Technology (2011–2015) – Northeast Petroleum University

Experience 💼

Zi has led and contributed to various research initiatives, including a Huawei NRE project and significant AI advancements in IoT voiceprint recognition and military voice monitoring. His technical contributions have been instrumental in enhancing acoustic feature extraction and system integration on Huawei’s deep learning platform, MindSpore.

Research Interests 🔍

  • Voiceprint Recognition
  • Short Utterance Speaker Verification
  • Artificial Intelligence & Deep Learning
  • Acoustic Feature Enhancement
  • IoT Smart Services

Awards 🏆

  • Outstanding Academic Achievement Award – Beijing University of Graphic Arts, 2018
  • Outstanding Master’s Thesis Award – Beijing University of Graphic Arts, 2019
  • Huawei Smart Base Future Star Award – Ministry of Education-Huawei, 2021
  • Outstanding Doctoral Thesis Award – Wuhan University of Technology, 2024

Publications Top Notes📚:

Multi-Fisher and Triple-Domain Feature Enhancement-Based Short Utterance Speaker Verification for IoT Smart Service – IEEE Internet of Things Journal (2024) [DOI:10.1109/JIOT.2023.3309659]

Joint Filter Combination-based Central Difference Feature Extraction – Expert Systems with Applications (2023) [DOI:10.1016/j.eswa.2023.120995]

Fisher Ratio-Based Multi-Domain Frame-Level Feature Aggregation – Engineering Applications of Artificial Intelligence (2024) [DOI:10.1016/j.engappai.2024.108063]

Short-Duration Speaker Verification by Joint Filter Superposition – IEEE Transactions on Consumer Electronics (2024) [DOI:10.1109/TCE.2024.3411116]

Aggregating Discriminative Embedding by Triple-Domain Feature Joint Learning – Biomedical Signal Processing and Control (2023) [DOI:10.1016/j.bspc.2023.104703]