Pierre Henri Maire | Computational Science | Best Researcher Award

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

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

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

Sergey Pulinets | Scientific Breakthroughs | Best Researcher Award

Prof. Sergey Pulinets | Scientific Breakthroughs | Best Researcher Award

Prof. Sergey Pulinets | Space Research Institute of the Russian Academy of Sciences (RAS) | Russia

Prof. Sergey A. Pulinets is a leading geophysicist and space plasma physicist  in the fields of space plasma physics, ionospheric physics, and geophysics. A graduate of the Faculty of Physics at Lomonosov Moscow State University , he has held major scientific and administrative positions at IZMIRAN, the National Autonomous University of Mexico (UNAM), and the Institute of Applied Geophysics, before joining the Space Research Institute (IKI RAS) in 2009 as Chief Research Scientist. Prof. Pulinets is internationally recognized for his pioneering studies on ionization processes and their effects on the atmosphere, leading to the development of a comprehensive Lithosphere–Atmosphere–Ionosphere coupling model, widely used today for short-term earthquake precursor monitoring. He has led and participated in numerous space experiments aboard Soviet and Russian satellites and currently serves as the chief designer of the LAERT ionosonde-radar, part of the “Ionosonde-2025” satellite constellation under the Russian Federal Space Program. He has authored over 192 scientific publications, which have garnered 6,824 citations across 2,736 documents, with an h-index of 38 (Scopus). His work integrates multidisciplinary approaches to earthquake forecasting, as reflected in his monographs with Springer, AGU/Wiley, and IOP Publishing. Prof. Pulinets is a member of COSPAR, URSI, EMSEV, and the International Academy of Astronautics (IAA) and serves as an editor for MDPI Atmosphere and the RAS journal Geomagnetism and Aeronomy. He has reviewed for more than 30 international journals including JGR, Radio Science, and Natural Hazards. His scientific achievements have been recognized with VDNKh Bronze and Silver Medals, the Korolev Medal, and numerous honors from the Russian Federation of Cosmonautics. Holding 10 patents and one scientific discovery, Prof. Pulinets stands among the top 25 most-cited Russian scientists in geophysics.

Profiles: Scopus | Google Scholar | Orcid | Research Gate

Featured Publications 

Ouzounov, D., Inan, S., Kalenda, P., Neumann, L., Pulinets, S., Liu, J.-Y., Shen, X., Yan, R., Rušajová, J., Kafatos, M. C., et al. (2025, January 20). Multi-parameter study of the pre-earthquake phase associated with the Kahramanmaraş sequence in Türkiye on February 6th, 2023. EGUsphere Preprint. https://doi.org/10.5194/egusphere-egu24-6407

Smirnov, S., Pulinets, S., & Bychkov, V. (2024, December 9). Some effects of the Shiveluch Volcano eruption of 10 April 2023 on atmospheric electricity and the ionosphere. Atmosphere, 15(12), 1467. https://doi.org/10.3390/atmos15121467

Pulinets, S., & Velasco Herrera, V. M. (2024, August 5). Earthquake precursors: The physics, identification, and application. Geosciences, 14(8), 209. https://doi.org/10.3390/geosciences14080209

Pulinets, S., Mironova, I., Miklyaev, P., Petrova, T., Shitov, A., & Karagodin, A. (2024, January 27). Radon variability as a result of interaction with the environment. Atmosphere, 15(2), 167. https://doi.org/10.3390/atmos15020167

Pulinets, S. A. (2024, January 22). Physical bases of the short-term forecast of earthquakes. Astronomical and Astrophysical Transactions, 1476-3540. https://doi.org/10.17184/eac.8366

Liu, J.-Y. T., Shen, X., Chang, F.-Y., Chen, Y.-I., Sun, Y.-Y., Chen, C.-H., Pulinets, S., Hattori, K., Ouzounov, D., Tramutoli, V., et al. (2024, January 20). Spatial analyses on pre-earthquake ionospheric anomalies and magnetic storms observed by China seismo-electromagnetic satellite in August 2018. Geoscience Letters, 11(1), 20. https://doi.org/10.1186/s40562-024-00320-2

Grimalsky, V., Kotsarenko, A., Yutsis, V., Pulinets, S., & Del Razo Gonzalez, A. (2023, December 29). New insights into the simulations of electric currents for discharges and ULF magnetic-field perturbations: Applications to the Popocatepetl Volcano and a micro-discharge model. Remote Sensing, 16(1), 151. https://doi.org/10.3390/rs16010151

Shitov, A. V., Pulinets, S. A., & Budnikov, P. A. (2023, August). Effect of earthquake preparation on changes in meteorological characteristics (based on the example of the 2003 Chuya earthquake). Geomagnetism and Aeronomy, 63(6), 745–755. https://doi.org/10.1134/s0016793223600285

Chaitanya Kumar Mankala | Computational Science | Best Researcher Award

Mr. Chaitanya Kumar Mankala | Computational Science | Best Researcher Award

Mr. Chaitanya Kumar Mankala | Villanova University | United States

Dr. Chaitanya K. Mankala is a distinguished technologist and researcher specializing in artificial intelligence, cloud architecture, and large-scale enterprise systems. He has led transformative initiatives at global organizations including Deloitte, Capgemini, and Unisys, driving innovation through the integration of Microsoft Dynamics 365, SAP, and Salesforce platforms. As a top-performing scholar at Villanova University with advanced degrees in Software Engineering and Health Informatics, he is currently pursuing a Ph.D. in Artificial Intelligence. His research explores sustainable real-time natural language processing using serverless architectures and next-generation neuroidal networks, with notable publications and conference presentations at leading international forums such as MDPI, IEEE ISBI, and ICEHTMC. Dr. Mankala’s work bridges AI, cloud technologies, and enterprise intelligence, focusing on developing scalable, ethical, and high-performance digital solutions that shape the future of intelligent systems.

 

Tsomene Doungmo Stany Lionel | Computational Science | Best Researcher Award

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