Afnan Al-Maathidi | Business Analytics | Innovative Research Award

Innovative Research Award

Afnan Al-Maathidi
University of Bahrain, Bahrain

Afnan Al-Maathidi
Affiliation University of Bahrain
Country Bahrain
Scopus ID 58139261700
Documents 2
Citations 6
h-index 1
Subject Area Business Analytics
Event Business Global Awards

Afnan Al-Maathidi is a researcher affiliated with the University of Bahrain, Bahrain. Her scholarly profile is associated with Business Analytics, reflecting research interests that contribute to analytical decision-making, data-driven business strategies, and the application of quantitative methods in business environments. Publicly indexed bibliometric indicators show an emerging publication record with measurable scholarly impact. This article presents a neutral academic overview of her research profile and summarizes publicly available scholarly information relevant to consideration for the Innovative Research Award. [1] [2]

Abstract

The Innovative Research Award recognizes scholarly contributions that demonstrate originality, methodological quality, and relevance within an academic discipline. Afnan Al-Maathidi’s scholarly activities are associated with Business Analytics, a multidisciplinary field integrating business intelligence, statistical analysis, data science, and evidence-based decision support. Her indexed research output reflects early-stage academic productivity with documented publications and citation activity. Publicly available bibliometric indicators provide measurable evidence of scholarly engagement while supporting continued academic development. [1]

Keywords

Business Analytics; Data Analytics; Decision Support Systems; Business Intelligence; Quantitative Analysis; Data-Driven Decision Making; Digital Transformation; Information Systems; Statistical Modelling; Research Evaluation.

Introduction

Business Analytics has become a fundamental discipline supporting organizations through predictive modelling, performance measurement, and strategic decision-making. Researchers working within this field contribute to the development of analytical frameworks that improve organizational efficiency and evidence-based management practices. Academic research in this area combines computational techniques with business knowledge to address practical and theoretical challenges across industries. Afnan Al-Maathidi’s research profile aligns with these contemporary scholarly objectives through contributions indexed in internationally recognized academic databases. [3]

Research Profile

According to publicly available Scopus records, Afnan Al-Maathidi has authored two indexed scholarly publications that have collectively received six citations and currently correspond to an h-index of one. These bibliometric indicators demonstrate the initial academic visibility of her work while reflecting participation in peer-reviewed scholarly communication. The profile indicates continued engagement in research activities within Business Analytics and related interdisciplinary domains. [1]

Research Contributions

The available publication record indicates contributions related to analytical approaches supporting business decision-making and organizational performance evaluation. Research within Business Analytics typically emphasizes quantitative modelling, data interpretation, and practical applications that enhance operational efficiency. Such work contributes to broader academic discussions concerning digital transformation, information management, and evidence-based organizational strategy. The measurable citation activity associated with the published work indicates scholarly engagement within the research community. [1]

Publications

Publicly indexed records identify two peer-reviewed scholarly publications attributed to the researcher. These publications form the basis of the available bibliometric indicators and demonstrate participation in academic publishing within Business Analytics and related interdisciplinary fields. Individual publication metadata, including Digital Object Identifiers (DOIs), should be verified through the respective publisher and Scopus records where available. [1]

  • Indexed scholarly publications available through the Scopus author profile.
  • Associated DOI information may be accessed from publisher records linked through Scopus.

Research Impact

Research impact may be assessed through publication output, citation activity, and scholarly influence within a discipline. The available bibliometric indicators demonstrate that Afnan Al-Maathidi’s published research has begun receiving citations from subsequent academic work. Although the publication portfolio remains relatively concise, the indexed metrics provide an objective foundation for evaluating academic progress and future research potential. [1]

Award Suitability

Afnan Al-Maathidi demonstrates characteristics consistent with consideration for the Innovative Research Award. Her research profile reflects engagement in Business Analytics, measurable scholarly productivity, peer-reviewed publications, and documented citation activity. Recognition through an academic award would acknowledge the demonstrated research contributions while encouraging continued development and innovation within this evolving discipline. The assessment presented here is descriptive and based exclusively on publicly available academic information. [1] [2]

Conclusion

Afnan Al-Maathidi’s scholarly profile represents an emerging contribution to Business Analytics through peer-reviewed publications and measurable bibliometric indicators. Her research activities support the continued advancement of analytical methods relevant to business decision-making and organizational performance. Publicly available academic evidence indicates a developing research trajectory that aligns with the objectives of scholarly recognition programs emphasizing innovation, research quality, and future academic potential. [1]

References

  1. Elsevier. (n.d.). Scopus author details: Afnan Al-Maathidi, Author ID 58139261700. Scopus.
    https://www.scopus.com/pages/authors/58139261700
  2. MM Al-Shammari, A Al-Maathidi. (2024). Green supply chain management practices and organizational performance in an emerging market.
    https://www.emerald.com/ijis/article/doi/10.1108/IJIS-06-2024-0175/1250368
  3. A Al-Maathidi, M Al-Shammari. (2023). Green Supply Chain Management and Organizational Performance in Bahrain.
    https://ieeexplore.ieee.org/abstract/document/10051075

Patricia Gomes Rêgo de Almeida | Digital Transformation | Best Paper Award- 3985

Mrs. Patricia Gomes Rêgo de Almeida | Digital Transformation | Best Paper Award

Mrs. Patricia Gomes Rêgo de Almeida, Chamber of Deputies of Brazil.

Dr. Patricia Gomes Rêgo de Almeida is a distinguished leader in digital governance and artificial intelligence policy. With a PhD in Public Administration from the University of Brasília, her work explores the intersection of AI and institutional governance. She currently serves as the Head of Innovation, IT Governance, and Digital Strategy at the Brazilian Chamber of Deputies, leading the national legislature’s digital transformation efforts. Dr. Almeida is also a prominent figure in the global parliamentary tech space, coordinating the Parliamentary Data Science Hub at the Inter-Parliamentary Union (IPU). Her pioneering role in drafting AI Guidelines for Parliaments reflects her deep commitment to ethical, transparent, and innovative public sector modernization. Her leadership combines technical expertise with policy foresight, making her a pivotal voice in AI governance worldwide.

👨‍🎓 Profile

Scopus

🎓 Education

Dr. Patricia Almeida holds a PhD in Public Administration from the University of Brasília (UnB), with a focused research on Artificial Intelligence Governance—an area that explores regulatory, ethical, and strategic frameworks for the implementation of AI in public institutions. Prior to her doctoral studies, she earned a Master’s degree in Electrical Engineering from the Federal University of Rio Grande do Norte (UFRN), where she gained foundational knowledge in computing systems and data-driven technologies. Her unique blend of engineering and public administration education allows her to approach technology policy with both analytical precision and institutional insight. Her academic background reflects a rare interdisciplinary expertise, positioning her at the forefront of emerging debates around the governance of emerging technologies in democratic institutions.

💼 Professional Experience

Currently, Patricia serves as the Head of Innovation, IT Governance, and Digital Strategy at the Brazilian Chamber of Deputies, where she designs and executes the legislature’s Digital Transformation Strategy. She is responsible for steering AI project portfolios, defining institutional AI policy, and leading Data Fluency initiatives across the chamber. Her work ensures that Brazil’s legislative processes integrate ethical, inclusive, and forward-looking AI tools. Additionally, she is the Coordinator of the Parliamentary Data Science Hub at the Inter-Parliamentary Union (IPU)’s Centre for Innovation in Parliaments. In this role, she led the development of the AI Guidelines for Parliaments, establishing a global benchmark for responsible AI use in legislative contexts. Patricia’s dual leadership roles reflect her ability to navigate complex institutional environments while driving innovation.

🔬 Research Interests

Patricia’s research focuses on Artificial Intelligence Governance, digital transformation in the public sector, data ethics, and institutional transparency. Her work explores how parliaments and legislative institutions can harness AI in a trustworthy, accountable, and human-centered manner. Her academic and professional inquiry covers critical areas such as algorithmic decision-making, AI policy frameworks, ethical data management, and public trust in AI systems. She is especially interested in designing institutional safeguards that ensure responsible AI deployment while promoting citizen engagement and transparency. Patricia’s research is deeply policy-oriented and grounded in real-world applications, making a tangible impact on how public institutions think about and implement AI systems.

🏆 Awards & Honors

Patricia Almeida has received wide recognition for her contributions to AI policy and innovation in government. While specific named awards have not been publicly listed, her appointment as Coordinator of the Parliamentary Data Science Hub at IPU and her leadership in crafting the AI Guidelines for Parliaments signify international acclaim and trust in her expertise. Her work has been featured in global forums that bring together policymakers, technologists, and scholars, positioning her as a key voice in the development of digital governance models. Her achievements reflect not just personal excellence, but also her broader commitment to ethical leadership in the age of artificial intelligence.

📚 Publications

Cited by multiple institutions for responsible legislative AI implementation practices.

Paolo Massimo Buscema | Application of ANNs to specific domain | Excellence in Research

Prof . Paolo Massimo Buscema - Application of ANNs to specific domain - Excellence in Research

Semeion - University of Colorado | Italy

Author Profile 

Early Academic Pursuits

He began his academic journey with a zeal for learning, earning his Doctorate in Letters with distinction from the University of Rome "La Sapienza" in 1978. His insatiable curiosity and passion for knowledge laid the foundation for a remarkable career in scientific research and academia.

Professional Endeavors

His professional journey is characterized by a blend of executive leadership, scientific research, and academic excellence. Since 1985, he has served as the Founder, President, and Scientific Director of the SEMEION Research Center, a renowned scientific organization recognized by the Italian Ministry of Education and Research. His role as a Professor and Computer Scientist has seen him contribute significantly to the fields of Artificial Neural Networks and Adaptive Artificial Systems. Additionally, he holds the position of Full Professor Adjoint at the Department of Mathematics and Statistics, University of Colorado at Denver, since 2011.

 

Contributions and Research Focus in Application of ANNs to specific domain

His contributions to scientific research are extensive and profound. He has designed and developed innovative mathematical models and algorithms for Artificial Intelligence, resulting in over 200 scientific publications and numerous books. His research focus on theoretical aspects of Natural Computation has paved the way for groundbreaking advancements in the field. As the inventor of 18 patent ideas, his work has led to 28 international patents, underscoring his commitment to innovation and intellectual property.

Accolades and Recognition

His  exemplary contributions have earned him widespread recognition and acclaim. He has been appointed to the Editorial Boards of several international scientific journals and serves as a reviewer for journals publishing articles on Artificial Intelligence across various disciplines. His scientific prowess and leadership have been acknowledged through numerous awards, honors, and appointments, reflecting his status as a leading authority in his field.

Impact and Influence

His impact extends far beyond academia, with his research findings and innovations influencing diverse sectors, including computer science, mathematics, engineering, medicine, and archaeology. His involvement in scientific projects with governmental and international organizations underscores the practical applications of his research in real-world contexts, contributing to advancements in cybersecurity, defense, and environmental safety.

Legacy and Future Contributions

His legacy is defined by his relentless pursuit of knowledge, innovation, and excellence. As he continues to inspire future generations of researchers and scientists, his vision for the future includes furthering the frontiers of Artificial Intelligence, mentoring emerging talents, and fostering international collaborations. His unwavering commitment to advancing scientific knowledge and solving complex challenges positions him as a stalwart figure in the global scientific community, leaving an indelible mark on the world of academia and beyond.

 

Citations

Citations      6575

h-index          41

i10-index       147

Notable Publications