Pierre Henri Maire | Computational Science | Best Researcher Award

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Global Scientist Day Awards

Pierre Henri Maire
Aquitaine Scientific and Technical Research Center, France

Pierre Henri Maire
Affiliation Aquitaine Scientific and Technical Research Center
Country France
Scopus ID 8597979300
Documents 82
Citations 3,303
h-index 31
Subject Area Computational Science
Event Global Scientist Day Awards
ORCID 0000-0002-4180-8220

Pierre Henri Maire is a researcher affiliated with the Aquitaine Scientific and Technical Research Center whose scholarly work has contributed to the advancement of computational science and related interdisciplinary research. His publication record, citation profile, and sustained scientific activity demonstrate continuing engagement in the development of computational methods applicable to scientific and engineering challenges. The information presented in this article summarizes his research profile and academic achievements within the context of the Global Scientist Day Awards.[1]

Abstract

This article provides a concise academic overview of Pierre Henri Maire’s scientific profile, emphasizing publication performance, research influence, and scholarly engagement in computational science.His research has contributed to computational methodologies supporting scientific modeling, numerical simulation, and interdisciplinary investigations, making his profile relevant for consideration within international academic recognition programs.[1]

Keywords

Computational Science; Numerical Methods; Scientific Computing; High Performance Computing; Simulation; Computational Modeling; Research Excellence; Global Scientist Day Awards.

Introduction

Computational science combines mathematical modeling, advanced algorithms, and computer-based simulation to investigate complex scientific problems. Researchers working within this field contribute to innovations that influence engineering, physics, environmental sciences, and multidisciplinary research. Pierre Henri Maire’s academic record reflects active participation in this evolving scientific landscape through peer-reviewed publications and collaborative research activities.[1]

Research Contributions

The research contributions associated with Pierre Henri Maire encompass computational methodologies, numerical analysis, and simulation techniques that support scientific investigation across multiple domains. His publications demonstrate continued engagement with the development of efficient computational frameworks, mathematical formulations, and algorithmic solutions intended to improve accuracy, stability, and computational performance.[2]

Publications

The researcher has authored or co-authored more than eighty Scopus-indexed scholarly publications. These works include peer-reviewed journal articles and collaborative scientific studies addressing computational science, numerical algorithms, and applied scientific computing. The accumulated citation record indicates that these publications have been referenced extensively by the international research community.[1]

Research Impact

Bibliometric indicators provide evidence of the visibility and scholarly influence of Pierre Henri Maire’s research activities. An h-index of 31 together with more than 3,300 citations reflects sustained academic recognition and continuing relevance of his published work. Such indicators suggest that his contributions have informed subsequent investigations and supported ongoing developments within computational science and related research disciplines.[1]

Award Suitability

Considering the available publication metrics, research productivity, citation impact, and continued scholarly engagement, Pierre Henri Maire demonstrates qualifications consistent with academic recognition programs that evaluate sustained scientific achievement.[3]

Conclusion

Pierre Henri Maire has established a significant academic presence through sustained research activity, a substantial body of peer-reviewed publications, and notable citation performance. His work illustrates the continuing importance of computational science in addressing complex scientific challenges. The available scholarly evidence supports recognition of his research accomplishments within the broader international scientific community.[1]

References

  1. Elsevier (2026). Scopus author details: Pierre Henri Maire, Author ID 8597979300. Scopus.
    https://www.scopus.com/pages/authors/8597979300
  2. An all-Mach cell-centered multi-dimensional finite volume numerical scheme for the Euler equations.
    https://www.sciencedirect.com/science/article/abs/pii/S0045793025004116
  3. Global Scientist Day Awards.(2026). Official Award Information.
    https://scientistday.org/

Christian Tayou Fotso | Computational Science | Best Researcher Award

Published on by Scientist Day

Global Scientist Day Awards

Christian Tayou Fotso
Aix-Marseille University, Fresnel Institute

Christian Tayou Fotso
Affiliation Aix-Marseille University, Fresnel Institute
Country France
Documents 6
Citations 10
Subject Area Computational Science
Event Global Scientist Day Awards
ORCID 0009-0007-4051-0979

Christian Tayou Fotso is affiliated with Aix-Marseille University and the Fresnel Institute in France, where his research activities contribute to the field of computational science. His scholarly work reflects interests in computational modelling, scientific computing, and interdisciplinary approaches that support the advancement of modern scientific research. His publication record demonstrates active engagement in peer-reviewed research and collaboration within the international scientific community.[1]

Abstract

This article presents an academic overview of Christian Tayou Fotso, highlighting his research activities, scholarly publications, institutional affiliation, and scientific contributions within computational science. The profile summarizes measurable research indicators together with qualitative observations regarding research productivity, interdisciplinary collaboration, and potential significance for scientific advancement. The information is intended to provide a neutral academic perspective suitable for scholarly recognition.[1]

Keywords

Computational Science; Scientific Computing; Numerical Modelling; Interdisciplinary Research; Simulation; Research Collaboration; Global Scientist Day Awards.

Introduction

Computational science integrates mathematical models, numerical algorithms, and computing technologies to address complex scientific and engineering problems. Researchers working in this discipline contribute to improved analytical capabilities, simulation accuracy, and data interpretation across multiple domains. Christian Tayou Fotso’s academic activities align with this multidisciplinary environment by supporting research that combines computational approaches with scientific investigation.[2]

Research Profile

Based at the Fresnel Institute of Aix-Marseille University, Christian Tayou Fotso participates in research involving computational methodologies and scientific analysis. His publication record demonstrates continued scholarly engagement, while citation metrics indicate growing recognition within the research community. His work reflects collaboration, methodological rigor, and an emphasis on computational techniques applicable to scientific challenges.[1]

Publications

The available publication record consists of six indexed scholarly documents covering computational science and related research topics. These publications contribute to scientific communication through peer-reviewed dissemination and collaborative research efforts.[1]

Research Impact

Research impact can be evaluated using publication quality, citation activity, collaboration, and scientific influence. Christian Tayou Fotso’s indexed publications and citation record indicate measurable engagement within the academic community. Continued research output and interdisciplinary collaboration are expected to enhance future scholarly visibility and scientific contribution.[1]

Award Suitability

The research profile demonstrates characteristics commonly considered during evaluations for academic recognition, including peer-reviewed publications, institutional affiliation with a recognized research organization, interdisciplinary scientific activity, and measurable citation performance.Final award decisions remain subject to the official evaluation criteria established by the organizing committee.[3]

Conclusion

Christian Tayou Fotso has established an emerging academic profile through computational science research, scholarly publications, and institutional collaboration at Aix-Marseille University. His documented research activity, publication history, and scientific engagement contribute positively to ongoing developments within computational science and provide a sound basis for academic recognition.[1]

References

  1. ORCID (2026). ORCID record: Wirginia Schmidt.
    https://orcid.org/0009-0007-4051-0979
  2. Global Scientist Day Awards (2026). International scientific recognition and award programme.
    https://scientistday.org/
  3. Simulation of Mixture Flows by the Discrete Duality Finite Volume Method.
    https://link.springer.com/article/10.1007/s10915-026-03283-y

Mohd Khaled Shambour | Computational Science | Research Excellence Award

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Prof. Mohd Khaled Shambour | Computational Science | Research Excellence Award

Middle East University | Jordan

Mohd-Khaled Yousef Shambour is a Jordanian professor specializing in Intelligent System Techniques, optimization, and artificial intelligence. He holds a PhD in Intelligent Systems and advanced degrees in computer science, with extensive academic, research, and teaching experience across Jordan and Saudi Arabia. His research focuses on meta-heuristic and evolutionary optimization, data science, scheduling, and deep learning, with strong applications to large-scale real-world problems such as transportation, airport slot scheduling, resource allocation, and mega-event management. He has led and contributed to impactful community-oriented research, particularly in improving services for pilgrims during Hajj and Umrah using AI and data analytics. Prof. Shambour has published widely in high-quality international journals and conferences and serves as an associate editor and reviewer for leading scientific publishers. An experienced educator, he teaches courses spanning AI, machine learning, optimization, data analytics, and programming, and actively contributes to academic service, professional societies, and community development.

Citation Metrics (Scopus)

1400
1000
600
200
0

Citations
1,189

Documents
40

h-index
16

Citations

Documents

h-index


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Featured Publications

Marco Zanotti | Data Science | Best Researcher Award

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Mr. Marco Zanotti | Data Science | Best Researcher Award

Mr. Marco Zanotti | University of Milan-Bicocca | Italy

Marco Zanotti is an accomplished Machine Learning Engineer and Data Scientist specializing in time series analysis, forecasting, anomaly detection, and econometrics. With extensive experience across sectors such as e-commerce fashion, tourism, aviation, and digital services, he has played a key role in designing and improving advanced forecasting systems that drive data-informed business decisions. He currently serves as a Data Scientist and Forecasting Specialist at Wanan Luxury (Rome, Italy), following previous positions at Blogmeter, T-Voice, and Uvet Amex GBT, where he contributed to predictive modeling, machine learning optimization, and process automation. In academia, Marco is an Adjunct Professor at the University of Milan and other leading Italian universities, where he teaches modern time series forecasting, machine learning, programming, and statistics at both Bachelor’s and Master’s levels. He holds a Ph.D. in Statistics from the University of Milano-Bicocca, a Post-graduate Diploma in Data Science for Economics, Business and Finance, and an M.Sc. in Economics and Finance from the University of Milan. Fluent in Italian, English, and French, Marco is proficient in R, Python, SQL, Git, Shiny, and Google Cloud Platform. A member of the International Institute of Forecasters, he is passionate about bridging the gap between academic research and industrial applications, mentoring young data scientists, and advancing the science of predictive analytics.

Profile: Orcid

Featured Publications

Zanotti, M. (2025, December). On the retraining frequency of global models in retail demand forecasting. Machine Learning with Applications. https://doi.org/10.1016/j.mlwa.2025.100769

Zanotti, M., & Mazzucchelli, L. (2021). dispositionEffect [Research protocol or software].

Tsomene Doungmo Stany Lionel | Computational Science | Best Researcher Award

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Mr. Tsomene Doungmo Stany Lionel | Computational Science | Best Researcher Award

Mr. Tsomene Doungmo Stany Lionel | University of Yaoundé 1 | Cameroon

Tsomene Doungmo Stany Lionel is a passionate and dedicated researcher in organic chemistry with a strong academic foundation from the University of Yaoundé I. Guided by Dr. Angélique Nicolas Messi, he has developed a deep interest in chemical synthesis, molecular modeling, and sustainable material development. His academic journey has been complemented by active participation in international workshops, scientific conferences, and professional training programs focused on structural biology, drug discovery, and research funding. He possesses excellent digital and analytical skills, proficient in a range of scientific software used for chemical analysis and molecular visualization. Fluent in French and English, Lionel communicates scientific ideas effectively and is committed to contributing to innovative and sustainable advancements in chemistry.

Profiles:  Orcid

Featured Publications

Mbeket, S. B. N., Doungmo, S. L. T., & Nicolas, M. A. (2025). Computational insights into C–O–C-type biflavonoids as multi-target inhibitors of ERα, PR, EGFR, and mTOR in breast cancer therapy. Computational and Structural Biotechnology Reports, 100065. https://doi.org/10.1016/j.csbr.2025.100065