Basudev Swain | Earth and Planetary Sciences | Research Excellence Award

Research Excellence Award

Basudev Swain – VŠB – Technical University of Ostrava, Czech Republic

Basudev Swain
Affiliation VŠB – Technical University of Ostrava
Country Czech Republic
Scopus ID 7005838963
Documents 76
Citations 4,234
h-index 27
Subject Area Earth and Planetary Sciences
Event International Research Excellence and Best Paper Awards
ORCID 0000-0003-2771-8058

Basudev Swain is a researcher affiliated with VŠB – Technical University of Ostrava, Czech Republic. His academic profile is associated with Earth and Planetary Sciences, with a research record comprising 76 indexed documents, 4,234 citations, and an h-index of 27, according to the supplied Scopus profile information. These bibliometric indicators provide an overview of his scholarly publication activity and citation impact. His profile is presented in connection with the Research Excellence Award recognition category at Best Paper Awards. [1] [2]

Abstract

Basudev Swain is affiliated with VŠB – Technical University of Ostrava in the Czech Republic and is associated with the research domain of Earth and Planetary Sciences. His supplied Scopus profile reports 76 scholarly documents, 4,234 citations, and an h-index of 27. These indicators reflect the documented publication and citation activity associated with his academic profile. [1] [2]

 Keywords

Basudev Swain, Research Excellence Award, Earth and Planetary Sciences, VŠB Technical University of Ostrava, Czech Republic, Scopus Research Profile, Scientific Publications, Citation Impact, Research Productivity, Academic Recognition, Best Paper Awards, Scholarly Contributions, Research Evaluation.

Introduction

Research excellence is commonly assessed through a combination of scholarly contributions, publication quality, research influence, originality, and the relevance of academic work to a particular scientific discipline. Bibliometric indicators, including publication counts, citation totals, and the h-index, can provide quantitative information about the visibility and development of a researcher’s academic output.

 Research Profile

Basudev Swain is associated with VŠB – Technical University of Ostrava, a technical university located in the Czech Republic. His listed subject area is Earth and Planetary Sciences, a broad scientific field concerned with the structure, processes, history, and evolution of Earth and other planetary bodies. The discipline encompasses several interconnected areas of scientific investigation, including geosciences, environmental processes, geological systems, and planetary research. [1]

 Research Contributions

Research contributions in Earth and Planetary Sciences can address fundamental questions relating to the Earth’s physical structure, geological development, natural resources, environmental systems, and planetary processes. Work in this interdisciplinary field often combines theoretical approaches, experimental investigation, field observations, computational methods, and analysis of scientific datasets.

 Publications

The supplied Scopus profile reports 76 indexed documents for Basudev Swain. These documents form the publication record associated with his author profile and provide a basis for examining his scholarly activity over time. A complete publication-level assessment should consider individual article titles, author contributions, publication venues, publication years, research methods, and available DOI records. [1]

 Research Impact

Research impact can be examined through citation activity, scholarly collaboration, publication quality, academic engagement, and the use of research findings in subsequent scientific investigations. The supplied Scopus profile records 4,234 citations and an h-index of 27 for Basudev Swain. These indicators offer quantitative evidence of citation activity associated with the indexed documents in his author profile. [1]

Award Suitability

The Research Excellence Award recognizes researchers whose scholarly activities demonstrate meaningful academic contributions, research productivity, and engagement with their respective scientific communities. Basudev Swain’s supplied academic profile provides relevant information for consideration in this recognition category, including his institutional affiliation, subject classification, publication record, and reported citation indicators. [1]

 Conclusion

Basudev Swain’s academic profile identifies him with VŠB – Technical University of Ostrava in the Czech Republic and the research area of Earth and Planetary Sciences. The supplied Scopus indicators report 76 indexed documents, 4,234 citations, and an h-index of 27. These details provide a quantitative overview of his indexed scholarly activity and establish a basis for further examination of his research contributions. [1]

 References

  1. Elsevier. (n.d.). Scopus author details: Basudev Swain, Author ID 7005838963. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=7005838963
  2. ORCID. (n.d.). Basudev Swain – ORCID researcher identifier 0000-0003-2771-8058. ORCID.
    https://orcid.org/0000-0003-2771-8058
  3. Best Paper Awards. (n.d.). Official Best Paper Awards website
    .
    https://bestpaperawards.com/

Amr Abdelnasser | Earth and Planetary Sciences | Best Paper Award

Best Paper Award

Abdelnasser Refaey Elwardany
Affiliation Istanbul Technical University
Country Turkey
Scopus ID 57193522232
Documents 29
Citations 301
h-index 9
Subject Area Earth and Planetary Sciences
Event Best Paper Awards
ORCID 0000-0001-5994-7088

Abdelnasser Refaey Elwardany

Abdelnasser Refaey Elwardany of Istanbul Technical University, Turkey, is recognized in connection with the Best Paper Award for research in Earth and Planetary Sciences. This academic profile highlights the researcher’s scholarly record and the featured publication titled “Remote Sensing-based Machine Learning Techniques for Mapping Gold-Mineralized Alteration Zones in the Fatira Mine Area, Egypt.”

The featured research brings together remote sensing, machine learning, geological interpretation, and mineral exploration to investigate gold-mineralized alteration zones in the Fatira Mine Area of Egypt. The work represents an interdisciplinary approach to geological mapping and the identification of alteration patterns associated with mineralization.

Abstract

This article recognizes Abdelnasser Refaey Elwardany in connection with the Best Paper Award for research addressing the application of remote sensing and machine learning to the mapping of gold-mineralized alteration zones. The featured study, “Remote Sensing-based Machine Learning Techniques for Mapping Gold-Mineralized Alteration Zones in the Fatira Mine Area, Egypt,” examines the use of satellite-derived information and computational techniques to support geological interpretation and mineral exploration. The research is situated within the broader field of Earth and Planetary Sciences and demonstrates an interdisciplinary approach to mineral-resource investigation.

Keywords

Remote Sensing, Machine Learning, Gold Mineralization, Alteration Zones, Mineral Exploration, Fatira Mine, Egypt, Geological Mapping, Earth and Planetary Sciences, Satellite Imagery.

Introduction

Remote sensing has become an important tool in geological investigations because satellite observations can provide spatially extensive information for the identification and interpretation of lithological and alteration features. In mineral exploration, remotely sensed spectral information can complement field observations and conventional geological mapping by helping researchers identify spatial patterns that may be associated with mineralized systems.

Research Profile

Abdelnasser Refaey Elwardany is affiliated with Istanbul Technical University in Turkey and is associated with the subject area of Earth and Planetary Sciences. The supplied academic profile records 29 documents, 301 citations, and an h-index of 9. These indicators provide a quantitative overview of the researcher’s indexed scholarly output and citation activity.

The research profile is particularly relevant to geological and planetary sciences because the featured work addresses mineralized alteration, remote sensing, and machine-learning-assisted geological interpretation. The combination of earth-science knowledge with computational analysis reflects the interdisciplinary nature of contemporary mineral exploration research.

Research Contributions

The featured study contributes to mineral exploration research by examining how remote-sensing data and machine-learning techniques can be combined to identify gold-mineralized alteration zones. The approach provides a framework for extracting geological information from satellite observations and using computational methods to support the interpretation of alteration patterns.

Publications

The featured publication associated with this recognition is “Remote Sensing-based Machine Learning Techniques for Mapping Gold-Mineralized Alteration Zones in the Fatira Mine Area, Egypt.” The publication addresses the application of remote sensing and machine-learning methodologies to geological mapping and mineral exploration in the Fatira Mine Area.

Publication Detail Information
Paper Title Remote Sensing-based Machine Learning Techniques for Mapping Gold-Mineralized Alteration Zones in the Fatira Mine Area, Egypt
Research Area Earth and Planetary Sciences
Primary Methods Remote Sensing and Machine Learning
Study Location Fatira Mine Area, Egypt
DOI https://doi.org/10.1111/1755-6724.15333

Research Impact

The research has potential significance for geological and mineral exploration because it demonstrates the application of computational techniques to remotely sensed geological information. Mapping alteration zones is an important component of mineral exploration, and remote sensing can provide a means of examining large areas before more detailed field-based investigations are undertaken.

The interdisciplinary character of the work also contributes to the broader development of data-driven Earth sciences. By connecting satellite observations with machine-learning analysis, research of this type can support more systematic approaches to geological interpretation and exploration targeting.

Award Suitability

The Best Paper Award recognizes research that demonstrates scholarly quality, methodological relevance, originality, and meaningful contribution to its field. The featured publication is relevant to these considerations because it addresses a defined geological problem and applies remote sensing and machine-learning techniques to the investigation of gold-mineralized alteration zones.

Conclusion

Abdelnasser Refaey Elwardany’s academic recognition profile highlights research in Earth and Planetary Sciences with a focus on remote sensing, machine learning, geological mapping, and mineral exploration. The featured paper, “Remote Sensing-based Machine Learning Techniques for Mapping Gold-Mineralized Alteration Zones in the Fatira Mine Area, Egypt,” represents an interdisciplinary approach to investigating alteration zones associated with gold mineralization.

The combination of earth-science investigation and computational analysis provides a relevant foundation for research in modern mineral exploration. Together with the supplied publication and bibliometric profile, these characteristics provide an academic basis for consideration within a Best Paper Award framework.

External Links

References

  1. Elwardany, A. R. et al. Remote Sensing-based Machine Learning Techniques for Mapping Gold-Mineralized Alteration Zones in the Fatira Mine Area, Egypt. Acta Geologica Sinica – English Edition. DOI: https://doi.org/10.1111/1755-6724.15333 ↩
  2. Scopus Author Profile. Abdelnasser Refaey Elwardany, Author ID 57193522232. Scopus Author Profile ↩
  3. ORCID. Research Profile of Abdelnasser Refaey Elwardany. ORCID iD: 0000-0001-5994-7088. https://orcid.org/0000-0001-5994-7088 ↩

Refaey Elwardany | Earth and Planetary Sciences | Best Paper Award

Best Paper Award

Refaey Elwardany
Affiliation Al-Azhar University
Country Egypt
Scopus ID 57344533900
Documents 18
Citations 312
h-index 8
Subject Area Earth and Planetary Sciences
Event Best Paper Awards
ORCID 0000-0001-6766-6921

Refaey Elwardany

Refaey Elwardany of Al-Azhar University, Egypt, is recognized in connection with the Best Paper Award for research on remote sensing, machine learning, mineral exploration, and geological mapping. His research publication, “Remote Sensing-based Machine Learning Techniques for Mapping Gold-Mineralized Alteration Zones in the Fatira Mine Area, Egypt,” investigates the integration of multispectral remote sensing, mineralogical analysis, and machine learning for delineating gold-sulfide mineralization in the Fatira mine area. The article was published in Acta Geologica Sinica (English Edition), volume 99, issue 4, pages 1196–1223, in 2025, with DOI 10.1111/1755-6724.15333. [1]

Abstract

The Best Paper Award recognition highlights research by Refaey Elwardany concerning the application of remote sensing and machine learning techniques to gold exploration in the Fatira (Abu Zawal) mine area of Egypt. The study integrates fieldwork and mineralogical analysis with Landsat-8 OLI, ASTER, and Sentinel-2 multispectral imagery to delineate gold-sulfide mineralization and associated hydrothermal alteration. Principal component analysis, independent component analysis, supervised classification, and mineral indices were applied to identify alteration zones and geological features associated with mineralization. The reported Landsat-8 support vector machine classification achieved an accuracy of 88.55% with a Kappa value of 0.86. [1]

Keywords

Remote Sensing, Machine Learning, Gold Exploration, Gold-Sulfide Mineralization, Fatira Gold Mine, Hydrothermal Alteration, Mineralogy, Landsat-8, ASTER, Sentinel-2, Geological Mapping, Egypt.

Introduction

Remote sensing has become an important component of modern geological investigation because multispectral satellite observations can support the identification and spatial interpretation of lithological and hydrothermal alteration features. In mineral exploration, the integration of remotely sensed data with field observations, mineralogical information, and computational classification methods can provide a systematic approach for mapping prospective zones. The Fatira mine area, located in the northern Eastern Desert of Egypt, represents a geological setting in which remote sensing and machine learning techniques can contribute to the characterization of gold-sulfide mineralization. [1]

Research Profile

Refaey Elwardany is affiliated with Al-Azhar University in Egypt and is associated with research in Earth and Planetary Sciences. The supplied academic profile records 18 documents, 312 citations, and an h-index of 8. These metrics provide a quantitative representation of the researcher’s publication and citation activity as specified for this recognition profile.

Research Contributions

The principal contribution of the awarded study is the integration of multisource remote sensing data and machine-learning methods for mapping gold-mineralized alteration zones in the Fatira mine area. Fieldwork and mineralogical analysis were combined with satellite imagery from Landsat-8 OLI, ASTER, and Sentinel-2 to identify geological and alteration characteristics associated with gold-sulfide mineralization. [1]

Publications

The principal publication associated with this recognition is the following peer-reviewed journal article:

  • El-Wardany, R., Jiao, J., Zoheir, B., Khedr, L., Kumral, M., Liu, L., Abu El-Leil, I., Orabi, A., Abd El-Salam, L., & Abdelnasser, A. (2025). Remote Sensing-based Machine Learning Techniques for Mapping Gold-Mineralized Alteration Zones in the Fatira Mine Area, Egypt. Acta Geologica Sinica (English Edition), 99(4), 1196–1223. https://doi.org/10.1111/1755-6724.15333. [1]

Research Impact

The research contributes to the field of mineral exploration by demonstrating how satellite-based observations can be integrated with machine-learning classification and geological analysis to identify alteration zones associated with gold mineralization. Its methodological framework is relevant to geological mapping and exploration studies in areas where conventional field investigation may benefit from spatially extensive remote sensing data. [1]

Award Suitability

The Best Paper Award is intended to recognize research demonstrating scholarly quality, methodological rigor, originality, and relevance within its field. The publication associated with Refaey Elwardany addresses a defined geological exploration problem through the integration of remote sensing, mineralogical analysis, and machine-learning techniques. Its use of Landsat-8, ASTER, and Sentinel-2 data, together with quantitative classification and alteration mapping, provides a clearly structured methodological contribution. [1]

Conclusion

Refaey Elwardany’s research profile, as presented for the Best Paper Award, reflects scholarly activity in Earth and Planetary Sciences with a particular emphasis on geological mapping, remote sensing, mineral exploration, and machine learning. The recognized publication presents an integrated approach to mapping gold-mineralized alteration zones in the Fatira mine area of Egypt using multispectral satellite imagery, geological observations, mineralogical analysis, and computational classification techniques. [1]

External Links

References

  1. El-Wardany, R., Jiao, J., Zoheir, B., Khedr, L., Kumral, M., Liu, L., Abu El-Leil, I., Orabi, A., Abd El-Salam, L., & Abdelnasser, A. (2025). Remote Sensing-based Machine Learning Techniques for Mapping Gold-Mineralized Alteration Zones in the Fatira Mine Area, Egypt. Acta Geologica Sinica (English Edition), 99(4), 1196–1223. DOI: https://doi.org/10.1111/1755-6724.15333.
  2. Wiley Online Library. (2025). Remote Sensing-based Machine Learning Techniques for Mapping Gold-Mineralized Alteration Zones in the Fatira Mine Area, Egypt. Acta Geologica Sinica (English Edition). Publisher Article Page.
  3. Istanbul Technical University. (2025). Remote Sensing-based Machine Learning Techniques for Mapping Gold-Mineralized Alteration Zones in the Fatira Mine Area, Egypt. Research publication record. Publication Record.

Jian Zhao (Jet) Yin | Earth and Planetary Sciences | Best Paper Award

Best Paper Award

Jian Zhao (Jet Yin), College of Earth Sciences, Jilin University, China; Orient Resources Ltd., Canada

Jian Zhao (Jet Yin)
Affiliation College of Earth Sciences, Jilin University, China; Orient Resources Ltd., Canada
Country Canada
Scopus ID 7401693574
Documents 8
Citations 81
h-index 4
ORCID 0000-0003-3025-7299
Award Best Paper Award

The Best Paper Award recognizes outstanding scholarly contributions that advance scientific understanding and practical innovation. Jian Zhao (Jet Yin) has established himself as a dedicated researcher in Earth Sciences, specializing in mineral exploration, economic geology, and resource evaluation. His research contributes to advancing geological investigations and sustainable resource development practices while strengthening scientific understanding of mineral systems and exploration methodologies. [1][2]

Abstract

Jian Zhao (Jet Yin) is a researcher specializing in Earth Sciences, mineral exploration, economic geology, and resource evaluation. Through his academic affiliation with the College of Earth Sciences at Jilin University and professional involvement with Orient Resources Ltd., Canada, he has contributed to advancing geological investigations and sustainable resource development. His research focuses on understanding mineral systems, improving exploration methodologies, and supporting efficient resource assessment practices. With a growing publication record, recognized citations, and measurable scholarly impact, Jian Zhao continues to provide valuable scientific knowledge that benefits both academic research and industry applications while promoting innovation in geological sciences worldwide. [1][2]

Keywords

Earth Sciences, Economic Geology, Mineral Exploration, Resource Evaluation, Mining Geology, Geological Research, Sustainable Resource Development, Ore Deposits, Resource Assessment, Geological Innovation

Introduction

Earth Sciences research is essential for understanding geological processes and supporting sustainable resource utilization. Jian Zhao has contributed to this field through studies focused on mineral exploration, geological investigations, and resource assessment. His work bridges scientific research and practical applications, enhancing knowledge and supporting responsible resource development. [1]

Research Profile

Jian Zhao (Jet Yin) is affiliated with Jilin University, China, and Orient Resources Ltd., Canada. His research interests include economic geology, mineral exploration, and resource evaluation. With 8 Scopus-indexed publications, 81 citations, and an h-index of 4, he maintains an active role within Earth Sciences research. [1][3]

Scientific Background

Modern mineral exploration integrates geological mapping, geochemistry, geophysics, and resource modeling. Jian Zhao’s research contributes to understanding mineral systems and exploration strategies. His scientific activities support improved resource discovery, evaluation methodologies, and geological interpretation while addressing challenges associated with sustainable mineral resource development worldwide.

Research Contributions

Jian Zhao has contributed to advancing geological research through studies focused on mineral resources and exploration methodologies. His work strengthens scientific understanding of geological systems, improves resource assessment practices, and enhances the practical application of research findings within industry settings, promoting innovation and sustainable development.

Publications

His publication record reflects active engagement in Earth Sciences research. Through peer-reviewed studies and scholarly contributions, Jian Zhao has investigated topics related to geology, mineral exploration, and resource evaluation. His publications have received citations from the scientific community and continue supporting ongoing geological research activities. [1]

Research Impact

The impact of Jian Zhao’s research extends beyond academia by supporting practical applications in exploration and resource evaluation. His findings contribute to improved geological decision-making, resource management strategies, and exploration planning. These contributions promote responsible resource utilization while advancing scientific understanding within the Earth Sciences field.

Award Suitability

Jian Zhao’s research demonstrates scientific quality, originality, and practical relevance. His contributions to Earth Sciences, mineral exploration, and resource evaluation align closely with the objectives of the Best Paper Award. His scholarly achievements, professional dedication, and growing research influence make him deserving of this recognition.

Conclusion

Through his dedication to Earth Sciences research, Jian Zhao continues advancing geological knowledge and resource exploration practices. His scholarly accomplishments, publication record, and research impact highlight a commitment to scientific excellence. These achievements reflect the qualities recognized by the Best Paper Award and the broader scientific community.

References

  1. Scopus Author Profile. Jian Zhao (Jet Yin). Author ID: 7401693574.
    https://www.scopus.com/authid/detail.uri?authorId=7401693574
  2. ORCID. Jian Zhao (Jet Yin). ORCID iD: 0000-0003-3025-7299.
    https://orcid.org/0000-0003-3025-7299
  3. Jilin University. College of Earth Sciences.
    https://www.jlu.edu.cn/
  4. Best Paper Awards. Official Website
    bestpaperawards.com/

Radhia Souissi | Earth and Planetary Sciences | Research Excellence Award

Prof. Radhia Souissi | Earth and Planetary Sciences | Research Excellence Award 

Head of Research Laboratory | National Institute for Research and Physico-Chemical Analysis | Tunisia

Prof. Radhia Sassi-Souissi is exceptionally well suited for a Research Excellence Award. Prof. Sassi-Souissi is a full professor and senior geochemist with more than 30 years of distinguished experience in environmental geochemistry, coastal morphodynamics, advanced inorganic materials, and the valorization of mining and industrial waste, all of which are highly relevant to global sustainability and environmental protection priorities. Her academic formation includes advanced doctoral training in France and a university habilitation in geochemistry and environmental sciences, reflecting the highest level of scholarly qualification. Her professional progression from assistant professor to full professor at INRAP demonstrates consistent academic excellence and institutional trust. She has played key leadership roles as Head of the Laboratory of Useful Materials, member of strategic management committees, and coordinator and co-coordinator of major international research programs, including Horizon 2020 and international joint laboratory initiatives. Prof. Sassi-Souissi has participated in and led over 20 national and international research projects, many of which address critical challenges such as groundwater sustainability, coastal pollution, microplastics, mining waste recovery, isotopic tracing, and environmental risk assessment. Her scientific productivity is outstanding, with more than 65 publications and reports and a strong series of high-impact peer-reviewed articles published in recent years in internationally reputed journals. Her work demonstrates both methodological rigor and applied societal value. In addition to her research contributions, she has supervised 14 postgraduate theses, reflecting a strong commitment to scientific training and capacity building. Her profile combines academic excellence, sustained innovation, interdisciplinary expertise, research leadership, international visibility, and tangible environmental impact, fully meeting and exceeding the core criteria expected for a prestigious Research Excellence Award.

Profiles: Google Scholar | ResearchGate

Featured Publications

Nasr, E. G., Epova, E. N., Barre, J., Sebilo, M., De Diego, A., Souissi, R., Abderrazak, H., & Donard, O. F. X. (2023). Combined use of 87Sr/86Sr and carbon isotopes with multielemental analysis for the geographical authentication of Tunisian and European olive oils. Food Chemistry, 426, 136487.

Ben Saad, E., Ben Alaya, M., Taupin, J.-D., Patris, N., Chaabane, N., & Souissi, R. (2023). A hydrogeological conceptual model refines the behavior of a Mediterranean coastal aquifer system: A key to sustainable groundwater management (Grombalia, NE Tunisia). Hydrology, 10(9), 180.

Marzougui Salem, Souissi, R., Jebali, K., Trabelsi, W., Abderrazak, H., & Souissi, F. (2024). Cadmium recovery from acid leachates of Tunisian phosphoric acid purification residues. Environmental Science and Pollution Research, 31, 60587–60600.

Somrani, C., Souissi, F., Souissi, R., De Giudici, G., Ferreira da Silva, E., Fancello, D., Podda, F., Santos, J. F., Abu-Alam, T., Ribeiro, S., & Rocha, F. (2025). The geochemical characteristics of ore-forming fluids in the Jebel Stah fluorite deposit in northeast Tunisia: Insights from LA-ICP-MS and Sr isotope analyses. Minerals, 15, 331.

Nasr, E. G., Epova, E., Souissi, R., Abderrazak, H., Sebilo, M., & Donard, O. F. X. (2025). Conservative behavior of 87Sr/86Sr isotope ratios from soil to olive oil in Tunisia: A tool for geographical traceability. Journal of Agricultural and Food Chemistry, 73, 6151–6157.

 

Prof. Radhia Sassi-Souissi’s research advances global environmental sustainability through innovative geochemical, isotopic, and materials-based solutions to pollution, groundwater protection, and waste valorization. Her work directly supports industry and public policy by transforming mining and industrial residues into valuable resources while safeguarding coastal and water systems.