Hermanto | Data Science | Innovative Research Award

Published on by Scientist Day

Global Scientist Day Awards

Hermanto

Universitas Bakti Indonesia

Hermanto
Affiliation Universitas Bakti Indonesia
Country Indonesia
Google Scholar ID pKj9u8oAAAAJ
Documents 46
Citations 6
h-index 4
Subject Area Data Science
Event Global Scientist Day Awards

Hermanto is affiliated with Universitas Bakti Indonesia in Banyuwangi, Indonesia. His Google Scholar profile identifies educational statistics and mathematics education as research interests, while a coauthored publication addresses rainfall forecasting using extreme gradient boosting. This article presents his research profile in the context of the Global Scientist Day Awards without asserting nomination, selection, or receipt of an award.[1][2]

Abstract

This article examines the academic profile of Hermanto, affiliated with Universitas Bakti Indonesia, within the context of the Global Scientist Day Awards. Available sources connect his work with mathematics education, educational statistics, and applied computational research. A verified publication investigates monthly rainfall forecasting in Banyuwangi using extreme gradient boosting. Supplied publication and citation figures are retained as unverified information because they differ from the retrieved Google Scholar record.[1][2]

Keywords

The principal indexing terms are Hermanto, Universitas Bakti Indonesia, Indonesia, data science, mathematics education, educational statistics, extreme gradient boosting, rainfall forecasting, Google Scholar, and Global Scientist Day Awards. These terms describe the supplied institutional context, documented publication themes, and recognition setting; they do not establish award status or verified rankings.

Introduction

Hermanto’s academic record combines educational interests with an identifiable application of machine learning. His affiliation appears on both the supplied Scholar profile and the rainfall forecasting publication. The awards website provides the event context, but the reviewed material does not establish an individual award decision concerning this researcher or nomination.[1]

Research Profile

The linked Google Scholar profile identifies Hermanto with Universitas Bakti Indonesia Banyuwangi and lists educational statistics and mathematics education as interests. Its publication entries include learning technologies, mathematical problem solving, and statistical analysis. Data science is therefore presented here as the supplied classification, not the profile’s stated primary disciplinary designation.[1][2]

Research Contributions

A documented contribution is Hermanto’s coauthorship of research applying extreme gradient boosting to monthly rainfall forecasting in Banyuwangi. This study connects computational prediction with a geographically specific environmental problem. The available evidence establishes participation in that publication, but does not isolate individual author responsibilities or demonstrate broader operational adoption independently. [3]

Publications

Fauziah, Hermanto, and Sukmarini published “Extreme Gradient Boosting pada Peramalan Pola Curah Hujan Bulanan Kabupaten Banyuwangi” in Jurnal Kridatama Sains dan Teknologi, volume six, issue two, pages 430–440, in 2024. This verified example does not independently substantiate the supplied total of forty-six documents attributed here.[1] [3]

Research Impact

The supplied figures report 46 documents, six citations, and an h-index of four. The retrieved Scholar profile instead displays two citations and an h-index of one. These records cannot be treated as equivalent measurements. Without a dated source for the supplied figures, quantitative impact remains unresolved rather than independently verified. [3]

Award Suitability

The organizer describes nomination procedures and several award categories on its website. Hermanto’s documented publication could support a research portfolio submitted for assessment, but suitability cannot be established from publication counts alone. No reviewed source confirms his nomination, eligibility determination, selection, or award receipt; those outcomes require direct documentary evidence. [3][1][2]

Conclusion

Available evidence supports Hermanto’s institutional affiliation, educational research interests, and coauthorship of an applied forecasting study. It does not resolve the supplied bibliometric discrepancies or establish award status. Accordingly, this article serves as a sourced academic profile, preserving a clear distinction between documented scholarship, supplied information, and prospective recognition considerations.

References

  1. Google Scholar. (2026.). Hermanto: Universitas Bakti Indonesia Banyuwangi. Public author profile, ID pKj9u8oAAAAJ.
    https://scholar.google.co.id/citations?user=pKj9u8oAAAAJ&hl=id
  2. Etnomatematika dalam pembelajaran matematika di SMA.
    https://doi.org/10.30605/pedagogy.v10i4.7045
  3. Global Scientist Day Awards. (2026.). Global Scientist Day Awards:
    https://scientistday.org/

Bassant Elkalzah | Data Science | Best Researcher Award

Published on by Scientist Day

Global Scientist Day Awards

Bassant Elkalzah
Imam Mohammad Ibn Saud Islamic University

Bassant Elkalzah
Affiliation Imam Mohammad Ibn Saud Islamic University
Country Saudi Arabia
Google Scholar ID n8GWOIAAAAAJ&hl
Documents 33
Citations 84
h-index 6
Subject Area Data Science
Event Global Scientist Day Awards
ORCID 0000-0003-3218-6228

Global Scientist Day Awards is an international recognition initiative intended to highlight scientific contributions and encourage continued engagement in research. This profile presents the researcher information supplied for Bassant Elkalzah, affiliated with Imam Mohammad Ibn Saud Islamic University in Saudi Arabia, with a stated subject area of Data Science. The profile summarizes reported bibliometric indicators and links to external researcher records for further verification. The inclusion of these details provides a structured overview of the researcher’s academic profile; it does not independently verify publication records, establish award selection, or imply endorsement by the listed institution. [1] [2]

Abstract

This article presents an academic profile of Bassant Elkalzah, whose stated institutional affiliation is Imam Mohammad Ibn Saud Islamic University in Saudi Arabia and whose subject area is Data Science. The supplied profile records 33 documents, 84 citations, and an h-index of 6. These indicators provide a quantitative snapshot of reported scholarly activity, although their interpretation depends on database coverage, publication types, citation dates, and author identification. Links to Google Scholar, Scopus, and ORCID enable readers to consult external records. [1][2]

Keywords

Bassant Elkalzah; Data Science; academic research; research metrics; scholarly publications; citation analysis; Imam Mohammad Ibn Saud Islamic University; Saudi Arabia; Global Scientist Day Awards; ORCID; Google Scholar; Scopus.

Introduction

Data Science combines statistical reasoning, computational methods, and data-driven analysis to investigate questions across scientific and professional disciplines. Research in this field can support pattern identification, predictive modelling, decision-making, and the interpretation of complex datasets. Academic profiles help readers locate publications and examine selected indicators of scholarly activity. However, metrics should be interpreted alongside research quality, methodological transparency, reproducibility, and disciplinary context rather than as standalone measures of scientific merit. [1]

Research Profile

The information supplied for Bassant Elkalzah identifies Imam Mohammad Ibn Saud Islamic University in Saudi Arabia as the institutional affiliation and Data Science as the subject area. The associated Google Scholar and Scopus links provide starting points for examining indexed scholarly output, while the ORCID record supplies a persistent researcher identifier. The stated profile metrics are 33 documents, 84 citations, and an h-index of 6. [2] [3]

Research Contributions

An assessment of contributions in Data Science ordinarily considers the research questions addressed, the appropriateness of analytical methods, the quality and accessibility of data, and the reproducibility of results. Potential contributions may include developing analytical techniques, applying computational approaches to domain-specific problems, or producing evidence that supports further investigation. The supplied profile does not identify individual publications or specific findings, so particular discoveries and methodological achievements cannot be attributed to the researcher without reviewing the underlying scholarly records. [1]

Publications

The supplied information reports 33 documents associated with the research profile. To establish a reliable publication list, readers should consult the linked Google Scholar and Scopus records and compare titles, author names, publication venues, years, and digital object identifiers where available. Database records can differ because of indexing policies, duplicate entries, author-name variations, and differences in document types. Individual publications and their DOIs have not been enumerated here because a verified bibliography was not included in the supplied information. [2] [3]

Research Impact

The profile reports 84 citations and an h-index of 6. The h-index is a bibliometric measure that reflects a combination of publication productivity and citation frequency: an h-index of 6 generally means that at least six indexed publications have each received six or more citations within the database and time of measurement. Citation counts can indicate scholarly attention, but they do not directly measure accuracy, originality, societal benefit, or research quality. [4]

Award Suitability

Global Scientist Day Awards provides the context for this academic recognition profile. The reported institutional affiliation, subject area, and bibliometric indicators may serve as initial information for a research-related nomination. A fair award assessment should additionally examine the candidate’s verified publications, originality, methodological quality, contribution to the field, research integrity, and relevance to the award category. [2] [3][4]

Conclusion

This profile summarizes the supplied academic information for Bassant Elkalzah, including the stated affiliation with Imam Mohammad Ibn Saud Islamic University, Saudi Arabia, the subject area of Data Science, and the reported metrics of 33 documents, 84 citations, and an h-index of 6. External researcher identifiers offer routes for further examination of the underlying records.

References

  1. Google Scholar. (2026). Bassant Elkalzah: Google Scholar author profile.
    https://scholar.google.com/citations?user=n8GWOIAAAAAJ&hl=en
  2. Elsevier. (2026.). Scopus author details: Bassant Elkalzah, Author ID 60258457200.
    https://www.scopus.com/authid/detail.uri?authorId=60258457200
  3. ORCID. (2026.). Bassant Elkalzah: ORCID researcher record.
    https://orcid.org/0000-0003-3218-6228
  4. Enhanced estimation for distribution function using auxiliary variable: Application with radiation data.
    https://www.sciencedirect.com/science/article/pii/S1687850725003462
  5. Global Scientist Day Awards. (2026.). Official award website.
    https://scientistday.org/

Dawit Girma | Research Excellence | Research Excellence Award

Published on by Scientist Day

Mr. Dawit Girma | Research Excellence | Research Excellence Award 

Wolkite University | United Kingdom

Dawit Girma Burayu is a skilled civil and hydraulic engineer with strong expertise in water resources engineering, hydrology, and geospatial analysis. He holds advanced academic qualifications and has extensive experience in teaching, research, and professional engineering practice. His work focuses on rainfall analysis, flood risk assessment, groundwater potential mapping, and irrigation planning using GIS, remote sensing, and modeling tools. He has authored multiple peer-reviewed publications in reputable journals, achieving 108 citations, an h-index of 4, and an i10-index of 2, reflecting the impact of his research contributions. Proficient in programming and engineering software, he effectively addresses complex environmental and water management challenges.

Citation Metrics (Google Scholar)

200
150
100
50
0

Citations
108

Documents
4

h-index
2

Citations

Documents

h-index


View Google Scholar Profile

Featured Publications

JiHye Park | Research Excellence | Research Excellence Award

Published on by Scientist Day

Mrs. JiHye Park | Research Excellence | Research Excellence Award 

Korea ginseng corporation | South Korea

Mrs. JiHye Park is a researcher affiliated with Korea Ginseng Corporation in South Korea, contributing to scientific studies related to natural products and bioactive compounds. Her work is associated with research environments focused on functional foods, pharmacological properties of ginseng, and health-related applications. She is recognized within academic and industrial research networks. Her contributions support the advancement of nutraceutical science, emphasizing evidence-based approaches to traditional herbal resources and their potential benefits in modern healthcare and biotechnology fields.


View Orcid Profile

Featured Publications

Mojtaba Asgari | Research Excellence | Research Excellence Award

Published on by Scientist Day

Mr. Mojtaba Asgari | Research Excellence | Research Excellence Award 

TU Dortmund University | Germany

Dr. Mojtaba Asgari is a sport scientist and researcher specializing in injury prevention, neuromuscular training, and biomechanics, with a strong focus on football performance and ACL risk reduction. He has developed innovative warm-up programs such as Football+, integrating advanced techniques like 3D motion analysis, electromyography, and isokinetic testing. His work includes extensive peer-reviewed publications, international research collaborations, and large-scale projects on athlete injury risk. Alongside his research, he actively teaches and supervises students while contributing as an associate editor and reviewer for leading journals. His background as a former professional football player further strengthens his applied research expertise.


View Orcid Profile

Featured Publications

Jean-louis Vigneresse | Research Excellence | Excellence in Research

Published on by Scientist Day

Prof. Jean-louis Vigneresse | Research Excellence | Excellence in Research

Prof. Jean-louis Vigneresse | université de lorraine | France

Jean-Louis Vigneresse is a distinguished French geophysicist known for his pioneering research on granite emplacement, crustal deformation, and thermal modeling. With decades of academic and international experience, he has contributed significantly to understanding Earth’s structural dynamics. He played key roles in major geoscientific programs like ECORS and Géofrance 3D and collaborated globally across Europe, the Americas, and Asia. As a professor and scientific leader, he has mentored numerous students and developed innovative geophysical tools. His research has been widely published and cited in top-tier journals. He also held administrative roles, promoting education and international cooperation. His career blends theoretical insight with practical application. Vigneresse’s legacy continues to shape modern geosciences.

Academic Profile 

Google Scholar | Orcid

Education

Jean-Louis Vigneresse holds a strong academic background in geophysics and earth sciences, having pursued advanced studies in engineering, structural geology, and geophysical modeling. He began his academic journey with training in geophysics at a premier French institute, focusing on magnetic anomalies and structural interpretations. His early research dealt with aeromagnetic and gravimetric analysis of volcanic and granitic terrains, reflecting a foundation in both applied and theoretical geophysics. His academic progression led him to conduct in-depth doctoral research on the modeling of granitic massifs and their deformation, integrating geophysical data with structural geological concepts. Further studies deepened his understanding of crustal processes, culminating in a high-level dissertation exploring the emplacement of granitic plutons under regional tectonic constraints.

Experience

Vigneresse has extensive experience in academia, research, and international collaboration. He has held teaching and research positions in several French universities, culminating in a senior academic post at a leading geological school. In addition to his teaching and research duties, he took on multiple administrative roles, including academic program development, student supervision, and coordination of international partnerships. He contributed to the modernization of geoscience curricula, particularly in petroleum geology and structural analysis. He has also been instrumental in developing applied geophysical tools, modeling software, and training programs that bridge academia and industry. His global engagement includes cooperative projects with universities and research centers across Europe, the Americas, Asia, and North Africa.

Research Interests

His research spans a broad range of topics in geophysics, structural geology, petrology, and crustal dynamics. His work has addressed granite emplacement mechanisms, partial melting, melt migration, deformation modeling, and the thermal evolution of the Earth’s crust. He has a particular interest in the links between tectonics, magmatism, and ore deposit formation. He developed physical and numerical models to simulate crustal processes and contributed to major geoscientific initiatives. His studies are well recognized for providing insights into the thermomechanical behavior of the crust and the geodynamic settings of granite-related phenomena.

Awards and Recognition

Jean-Louis Vigneresse is internationally recognized for his scholarly contributions, scientific collaborations, and educational leadership. He has published numerous research articles in prestigious international journals and has contributed as a reviewer and advisor to several scientific publications. His work has had significant influence in both academic and applied geoscience fields. He has been invited as a guest professor and scientific advisor in multiple countries and has played a key role in European scientific programs. His distinction lies in his ability to combine theoretical research with practical applications and international cooperation.

Publications


Granite magma formation, transport and emplacement in the Earth’s crust.

Author: Petford, N., Cruden, A. R., McCaffrey, K. J. W., & Vigneresse, J.-L.
Journal; Nature,(2000)

Nb-Ta fractionation in peraluminous granites: A marker of the magmatic-hydrothermal transition.

Author: Ballouard, C., Poujol, M., Boulvais, P., Branquet, Y., Tartèse, R., & Vigneresse, J.-L.
Journal; Geology, (2016)

Rheological transitions during partial melting and crystallization with application to felsic magma segregation and transfer.

Author: Vigneresse, J.-L., Barbey, P., & Cuney, M.
Journal: Petrology,  (1996)

Transpressional kinematics and magmatic arcs.

Author: Blanquat, M. D. S., Tikoff, B., Teyssier, C., & Vigneresse, J.-L.
Journal: Geological Society, London, Special Publications, (1998)

The Mortagne granite pluton (France) emplaced by pull-apart along a shear zone: Structural and gravimetric arguments and regional implication.

Author: Guineberteau, B., Bouchez, J.-L., & Vigneresse, J.-L.
Journal: Geological Society of America Bulletin, (1987)

Conclusion

The Research Excellence Award stands as a prestigious recognition of intellectual brilliance, innovation, and impactful contribution across scientific, academic, and interdisciplinary domains. It not only honors individual achievement but also promotes a culture of inquiry, collaboration, and societal relevance. By celebrating researchers who push boundaries and solve real-world problems, the award contributes to the global advancement of knowledge and inspires the next generation of scholars and innovators. This is more than an accolade — it is a platform for leadership, visibility, and lasting influence in the world of research.