Alberto Donini | Data Science and Analytics | Innovative Research Award

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Innovative Research Award

Alberto Donini — Università di Bologna, Italy

Alberto Donini
Affiliation Università di Bologna
Country Italy
Scopus ID 57194041679
Documents 5
Citations 27
h-index 3
Subject Area Data Science and Analytics
Event International Soil Scientist Awards
ORCID 0009-0005-4142-3645

Alberto Donini is a researcher affiliated with the Università di Bologna, Italy, whose work falls within data science and analytics[1]. He is presented here in connection with the Innovative Research Award, organised under the International Soil Scientist Awards [5].

Abstract

This article summarises the research profile of Alberto Donini of the Università di Bologna in the context of the Innovative Research Award. His output addresses geophysical, geological and cosmological modelling, together with an erosion-based dating approach applied to a Roman monument. Records show five documents and 27 citations [1]. Recent works were deposited openly on Zenodo in September and October 2026 [2].

Keywords

Data science, analytics, Relative Erosion Method, Hollow Earth Shell, Hollow-Planet Model, primordial black holes, glaciations, seismological simulation, Arch of Augustus.

Introduction

Recognition programmes for researchers increasingly consider openly shared, computationally oriented work alongside traditional journal output. Donini is identified by Scopus Author ID 57194041679 [1] and holds an ORCID record [3]. His recent contributions explore quantitative and simulation-based approaches to questions in Earth science, archaeology and cosmology.

Research Profile

Donini is affiliated with the Università di Bologna, Italy, with a subject classification of Data Science and Analytics. Bibliometric indicators currently show five documents, 27 citations and an h-index of 3 [1]. His profile is distinguished by interdisciplinary breadth, linking measurement, modelling and interpretation across several fields.

Research Contributions

His contributions can be grouped into three areas:

  • Erosion-based analysis: the Relative Erosion Method (REM) applied to the Arch of Augustus in Rimini, presented in Italian and English versions [2].
  • Earth modelling: a simulation of seismological results assuming a Hollow Earth Shell (HES) [2].
  • Cosmological and palaeoclimatic modelling: a preliminary Hollow-Planet Model (HPM) with primordial black holes, and a study of ancient civilizations, endogenous catastrophes and glaciations under the HFTPW model [2].

These models are exploratory and unconventional; their evaluation rests on continued scholarly discussion and independent testing.

Publications

  1. Ancient Civilizations, Endogenous Catastrophes, Glaciations and the HFTPW Model. Zenodo, 28 October 2026. DOI: 10.5281/ZENODO.23740510.
  2. “Relative Erosion Method” (“REM”) applied to the Arch of Augustus in Rimini. Zenodo, 22 October 2026. DOI: 10.5281/ZENODO.23568559.
  3. “Metodo Dell’Erosione Relativa” (“REM”) applicato all’Arco d’Augusto di Rimini. Zenodo, 17 October 2026. DOI: 10.5281/ZENODO.23438971.
  4. Preliminary Cosmological Hollow-Planet Model (HPM) and Primordial Black Holes (PBHs). Zenodo, 23 September 2026. DOI: 10.5281/ZENODO.22913819.
  5. Simulation of Seismological Results Assuming a Hollow Earth Shell (HES). Zenodo, 23 September 2026. DOI: 10.5281/ZENODO.22913769.

Research Impact

The 27 recorded citations and h-index of 3 indicate early but measurable engagement with his work [1]. Open deposition on Zenodo with persistent DOIs makes the material accessible for scrutiny, reuse and citation [4]. The bilingual presentation of the REM study also widens its readership across Italian and international audiences.

Award Suitability

The Innovative Research Award is intended to recognise original approaches [5]. Donini’s candidacy rests on the following considerations:

  • Originality in proposing new modelling frameworks and an erosion-based method for monument analysis.
  • Interdisciplinary reach across geophysics, archaeology, climatology and cosmology.
  • Sustained recent activity, with five openly accessible works within roughly six weeks.
  • Transparent dissemination through DOI-registered repositories [4].

Conclusion

Alberto Donini’s recent output reflects an exploratory, model-driven approach spanning several disciplines. With a documented Scopus record and openly archived publications, his work offers material for further evaluation by the research community. His nomination for the Innovative Research Award acknowledges this originality and productivity [1][5].

References

  1. Elsevier. (n.d.). Scopus author details: Alberto Donini, Author ID 57194041679. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57194041679
  2. Donini, A. (2026). “Relative Erosion Method” (“REM”) applied to the Arch of Augustus in Rimini. Zenodo.
    https://doi.org/10.5281/ZENODO.23568559
  3. ORCID. (n.d.). Alberto Donini (ORCID iD 0009-0005-4142-3645). ORCID.
    https://orcid.org/0009-0005-4142-3645
  4. Donini, A. (2026). Ancient Civilizations, Endogenous Catastrophes, Glaciations and the HFTPW Model. Zenodo.
    https://doi.org/10.5281/ZENODO.23740510
  5. International Soil Scientist Awards. (n.d.). Official awards website.
    https://soilscientists.org/

Nongrui Qin | Data Science and Analytics | Best Scholar Award

Published on by Soil Scientist

Best Scholar Award

Nongrui Qin
Dalian University of Technology, China

Nongrui Qin
Affiliation Dalian University of Technology
Country China
Scopus ID 61019853200
Documents 1
Subject Area Data Science and Analytics
Event International Soil Scientist Awards

Nongrui Qin is a researcher at Dalian University of Technology, China, working in data science and analytics. The researcher is listed in the Scopus database under author ID 61019853200 [1] and is recognized under the Best Scholar Award category of the International Soil Scientist Awards for early-stage contributions to intelligent systems research.

Abstract

This article summarizes the scholarly profile of Nongrui Qin, whose work addresses decision-making for autonomous vehicles through data-driven methods. The researcher is a co-author of an open-access article on multi-stage social value orientation-based lane-changing, published in Advanced Intelligent Systems in 2026 [2].

Keywords

Data science, analytics, autonomous vehicles, lane-changing, social value orientation, intelligent systems.

Introduction

Autonomous driving requires vehicles to interact safely with other road users whose behavior varies. Social value orientation, a concept from social psychology, describes how much an agent weighs its own outcomes against those of others, and it has been applied to interaction-aware planning for vehicles [3]. Research in this area aims to make lane-changing maneuvers safer, smoother, and more predictable in mixed traffic.

Research Profile

Nongrui Qin is affiliated with Dalian University of Technology, and the Scopus record lists one document, zero citations, and an h-index of zero [1]. These figures reflect an early career stage, and the subject area is recorded as Data Science and Analytics.

Research Contributions

The researcher contributed to a study on multi-stage, social value orientation-based lane-changing for autonomous vehicles [2]. The principal themes of the work include:

  • Modeling social preferences within vehicle interactions.
  • Structuring lane-changing decisions into sequential stages.
  • Applying data-driven methods to autonomous driving behavior.

Publications

Qin, N., Cai, L., Luo, Y., Yue, M., & Guan, H. (2026). Multi-Stage Social Value Orientation-Based Lane-Changing Driving for Autonomous Vehicles. Advanced Intelligent Systems. The article is open access [2].

Research Impact

As a recent publication, the article has not yet accumulated citations [1]. Its open-access status supports wider readership, and related studies on social value orientation suggest continuing interest in the topic across intelligent vehicle research [3].

Award Suitability

The nomination for the Best Scholar Award under the International Soil Scientist Awards recognizes emerging scholarship and the application of data science and analytics to complex systems. The researcher’s publication in an international journal, together with institutional affiliation and a verifiable Scopus record, supports consideration within this category [1].

Conclusion

Nongrui Qin is an early-career researcher at Dalian University of Technology whose work on socially aware lane-changing contributes to research on autonomous vehicle decision-making [2]. The recognition acknowledges this contribution and the potential for further research.

References

  1. Elsevier. (n.d.). Scopus author details: Nongrui Qin, Author ID 61019853200. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=61019853200
  2. Qin, N., Cai, L., Luo, Y., Yue, M., & Guan, H. (2026). Multi-stage social value orientation-based lane-changing driving for autonomous vehicles. Advanced Intelligent Systems. Wiley.
  3. International . (2026). International Soil Scientist Awards, (1).
    https://soilscientists.org/

Khloud Samkari | Data Science and Analytics | Women Researcher Award

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Women Researcher Award

Khloud Samkari
Umm Al-Qura University, Saudi Arabia

Khloud Samkari
Affiliation Umm Al-Qura University
Country Saudi Arabia
ORCID ID 0009-0009-5686-4506
Documents 1
Subject Area Data Science and Analytics
Event International Soil Scientist Awards

Khloud Samkari is a researcher affiliated with Umm Al-Qura University, Saudi Arabia, working in data science and analytics. She is recognized in the context of the Women Researcher Award presented under the International Soil Scientist Awards [3]. Her scholarly record includes a recent journal article examining the financial structure and profitability of green bond issuers [2].

Abstract

This article presents an academic profile of Khloud Samkari, a researcher at Umm Al-Qura University working in data science and analytics. It summarizes her research orientation, her indexed publication, and the relevance of her work to the Women Researcher Award. The profile draws on public scholarly records, including ORCID and DOI metadata [1][2].

Keywords

Data science, analytics, green bonds, financial structure, profitability, sustainable finance, Women Researcher Award.

Introduction

The International Soil Scientist Awards is an event that recognizes excellence, innovation, and leadership in soil science, sustainability, and related environmental research [3]. Within this framework, the Women Researcher Award acknowledges female scholars whose work demonstrates academic merit and relevance to sustainability-oriented inquiry. Khloud Samkari is considered here on the basis of her data-driven research and her contribution to the study of sustainable finance.

Research Profile

Samkari is affiliated with Umm Al-Qura University in Saudi Arabia. Her subject area is data science and analytics, with applications in finance and sustainability. Her public researcher identifier is registered with ORCID under the iD 0009-0009-5686-4506 [1]. At present, one document is associated with her profile, and citation metrics are not publicly reported in the sources reviewed.

Research Contributions

Her principal contribution is a co-authored study of green bond issuers, which compares financial and non-financial firms. The work investigates how financial structure relates to profitability among organizations that issue green bonds [2]. Such analysis is relevant to the broader discussion of how environmentally labeled debt instruments interact with corporate performance. The study was prepared with Maha Alandejani and Alyaa AlGhanmi.

Publications

  • Alandejani, M., AlGhanmi, A., & Samkari, K. S. (2026). Financial structure and profitability of green bond issuers: Evidence across financial and non-financial firms. International Journal of Financial Studies. Journal article, published 12 October 2026. DOI: 10.3390/ijfs14100269 [2]

Research Impact

The article appears in an international, peer-reviewed venue focused on financial studies and is registered through a persistent digital object identifier, which supports discoverability and citation [2]. As the publication is recent, its long-term influence cannot yet be assessed through citation indicators. The impact described here is therefore limited to topical relevance and accessibility.

Award Suitability

Samkari’s profile aligns with the Women Researcher Award in several respects:

  • Research focused on data science and analytics.
  • A peer-reviewed publication addressing sustainable finance [2].
  • A verifiable ORCID record supporting transparent attribution [1].
  • Relevance to the sustainability themes of the awarding event [3].

Conclusion

Khloud Samkari is an early-stage researcher whose indexed work contributes to the analysis of green finance. Her recognition under the Women Researcher Award reflects her scholarly activity and the sustainability relevance of her research, while her record continues to develop.

References

  1. ORCID. (n.d.). Khloud Samkari, ORCID iD 0009-0009-5686-4506. ORCID.
    https://orcid.org/0009-0009-5686-4506
  2. Alandejani, M., AlGhanmi, A., & Samkari, K. S. (2026). Financial structure and profitability of green bond issuers: Evidence across financial and non-financial firms. International Journal of Financial Studies.
    https://doi.org/10.3390/ijfs14100269
  3. Clocate. (n.d.). International Soil Scientist Awards. Event listing.
    https://soilscientists.org/