Dabiah Alboaneen | Computer Science and Artificial Intelligence | Innovative Research Award

Innovative Research Award

Dabiah Alboaneen
Imam Abdulrahman bin Faisal University

Dabiah Alboaneen
Affiliation Imam Abdulrahman bin Faisal University
Country Saudi Arabia
Scopus ID 56530765900
Documents 30
Citations 553
h-index 13
Subject Area Computer Science and Artificial Intelligence
Event Global Best Achievements Awards
ORCID 0000-0003-2215-9963

Dabiah Alboaneen is a researcher affiliated with Imam Abdulrahman bin Faisal University in Saudi Arabia whose academic profile is situated within Computer Science and Artificial Intelligence. Her scholarly record reflects research activity supported by internationally indexed publications, citation performance, and continued engagement with computational research. The documented profile includes 30 research documents, 553 citations, and an h-index of 13, providing measurable indicators of scholarly visibility and research productivity.[1]

Abstract

Dabiah Alboaneen is a computer science researcher affiliated with Imam Abdulrahman bin Faisal University in Saudi Arabia, with an academic profile focused on Computer Science and Artificial Intelligence. Her research profile demonstrates sustained scholarly activity supported by indexed research publications and measurable citation influence. The supplied academic record identifies 30 documents, 553 citations, and an h-index of 13 under Scopus Author ID 56530765900. Her ORCID identifier provides an additional persistent connection to her scholarly identity. The combination of research productivity, citation visibility, and engagement with artificial intelligence provides an academic foundation for consideration for the Innovative Research Award in recognition of scholarly contribution.

Keywords

Artificial Intelligence, Computer Science, Machine Learning, Deep Learning, Data Science, Intelligent Systems, Computational Research, Research Innovation, Predictive Analytics, Natural Language Processing, Scholarly Communication, Saudi Arabia.

Introduction

Computer Science and Artificial Intelligence represent rapidly developing research fields that integrate computational methods, data-driven analysis, intelligent algorithms, and emerging technologies. Research within these disciplines contributes to the development of systems capable of supporting complex analytical and decision-making tasks. Within this academic context, Dabiah Alboaneen’s profile reflects sustained engagement with computer science and artificial intelligence research, supported by an internationally identifiable scholarly record and measurable bibliometric indicators.[1]

Research Profile

The research profile of Dabiah Alboaneen demonstrates sustained academic productivity within Computer Science and Artificial Intelligence. Her institutional affiliation with Imam Abdulrahman bin Faisal University places her research within a major academic environment in Saudi Arabia. The supplied Scopus record identifies 30 documents, 553 citations, and an h-index of 13, while ORCID provides a persistent researcher identifier for scholarly attribution and discovery.[1] [2]

Research Contributions

Alboaneen’s academic contribution is positioned within the broader development of artificial intelligence and computational research. Her research profile provides evidence of continuing scholarly activity and publication output in a field characterized by rapid methodological development. Through research connected with computer science and artificial intelligence, her academic work contributes to the broader body of knowledge concerned with computational approaches, intelligent technologies, data-driven methods, and the development of emerging digital solutions.[1]

Publications

The supplied profile records 30 scholarly documents associated with Dabiah Alboaneen through the Scopus author record. This publication activity provides evidence of sustained research engagement and scholarly communication within Computer Science and Artificial Intelligence. The citation record further indicates that the published research has received attention within the academic literature. Specific publication titles and DOI records were not included in the supplied profile data and therefore are not listed here without independent verification.[1]

Research Impact

The reported citation count of 553 and h-index of 13 provide measurable indicators of the academic visibility associated with the research profile. Such bibliometric measures can assist in understanding the extent to which published research has been referenced within scholarly literature. Together with 30 documented research documents, these indicators demonstrate an established publication record and continuing academic engagement in Computer Science and Artificial Intelligence.[1]

Award Suitability

The Innovative Research Award is intended to recognize meaningful research activity, scholarly productivity, and contributions to an identified research discipline. Dabiah Alboaneen’s profile aligns with these considerations through documented research activity in Computer Science and Artificial Intelligence, 30 indexed documents, 553 citations, and an h-index of 13. These indicators provide a quantitative basis for academic evaluation, while the final award determination remains subject to the applicable assessment process of the Global Best Achievements Awards.[1] [4]

Conclusion

Dabiah Alboaneen has established an identifiable academic research profile in Computer Science and Artificial Intelligence through sustained publication activity and measurable scholarly visibility. The supplied record of 30 documents, 553 citations, and an h-index of 13 demonstrates continued engagement with the research community. Her institutional affiliation and persistent ORCID and Scopus identifiers further support the traceability of her scholarly record and provide a foundation for consideration for the Innovative Research Award.[1] [2]

References

  1. Elsevier. (n.d.). Scopus author details: Dabiah Alboaneen, Author ID 56530765900. Scopus.
    https://www.scopus.com/pages/authors/56530765900
  2. ORCID. (n.d.). Dabiah Alboaneen — ORCID record. ORCID.
    https://orcid.org/0000-0003-2215-9963
  3. Google Scholar. (n.d.). Dabiah Alboaneen — Google Scholar profile.
    https://scholar.google.co.uk/citations?user=4ZvRmmQAAAAJ
  4. Global Best Achievements Awards. (n.d.). Global Best Achievements Awards.
    https://bestachievements.com/

mikail aslan | Engineering | Best Researcher Award

Assoc. Prof. Dr. mikail aslan | Engineering | Best Researcher Award

Assoc. Prof. Dr. mikail aslan, Gaziantep University, Turkey.

Assoc. Prof. Dr. Mikail Aslan 🎓 is a distinguished academic at Gaziantep University, specializing in Metallurgical and Materials Engineering ⚙️. With a Ph.D. in Physics Engineering, he has led numerous national and international research projects, published widely in refereed journals, and supervised impactful graduate theses. His expertise spans nanomaterials, powder metallurgy, and computational materials science 🧪. A dedicated educator and leader, he has held key administrative roles and continues to shape innovative materials research in Turkey. 🇹🇷

Profile

SCOPUS ID

🎓 Early Academic Pursuits

Dr. Mikail Aslan embarked on his academic journey with a Bachelor’s degree in Physics Teaching from Middle East Technical University in 2010. His passion for material science and physics engineering led him to pursue a PhD in Physics Engineering at Gaziantep University, which he completed in 2014. His doctoral research focused on the electronic structure of ligand-passivated metal nanoclusters, under the guidance of Professors Ali Sebetci and Zihni Öztürk. This strong foundational work paved the way for his extensive career in computational materials science and nanotechnology.

💼 Professional Endeavors

Dr. Aslan began his academic career at Gaziantep University as an Assistant Professor in the Department of Metallurgical and Materials Engineering in 2015. He was promoted to Associate Professor in July 2024. In his tenure, he has held vital administrative roles including Double Major and Minor Program Coordinator (2015–2022) and Co-Head of Department (2015–2019). He is also an experienced educator, delivering undergraduate and graduate courses in powder metallurgy, material science, and computer-aided design.

🔬 Contributions and Research Focus On Engineering

Dr. Aslan’s research primarily spans nanocomposites, powder metallurgy, carbon nanodots, rare-earth hexaborides, and nanoalloys. He has contributed significantly to understanding the microstructural, mechanical, optical, and electronic behaviors of advanced materials. His works often bridge experimental synthesis and DFT-based computational simulations, revealing structure–property relationships in novel alloys and composites.

🌍 Impact and Influence

His interdisciplinary approach, combining materials engineering with computational modeling, has had a broad impact on areas such as environmental catalysis, energy materials, and biocompatible nanomaterials. Through his projects and international collaborations, Dr. Aslan has contributed to solving industrial challenges like dye degradation from textile wastewater and the design of efficient bonding systems in composites.

🏅 Awards and Honors

Dr. Aslan has participated in prestigious international collaborations such as TOUCAN and MidPlus, working alongside globally respected scholars like Rodger P. Mark and Roy L. Johnston. His research has been funded by national and international agencies, and he has successfully led and contributed to high-impact scientific projects, underscoring his excellence in applied materials science.

🧠 Research Skills

Dr. Aslan demonstrates advanced expertise in:

  • Density Functional Theory (DFT) Simulations

  • Nanoalloy and Composite Fabrication

  • Mechanical and Thermal Property Characterization

  • Computational Modeling and SolidWorks Design

  • Metrology and Calibration Techniques
    His ability to integrate experimental and theoretical approaches makes him a versatile and innovative researcher.

🔮 Legacy and Future Contributions

As a mentor, Dr. Aslan has supervised several master’s theses in materials and biological sciences, nurturing the next generation of interdisciplinary researchers. His upcoming research on tungsten-reinforced epoxy adhesives and the enhancement of university laboratory infrastructures reflects his commitment to both scientific advancement and academic capacity building. Dr. Aslan is poised to continue shaping the field of nanomaterials and composite technologies, leaving a lasting legacy in research, education, and innovation.

Publications Top Notes

📘 Efficient Catalytic Degradation of Azo Dyes from Textile Wastewater by Nano and Micro Amorphous Alloys
  • Authors: Dr. Mikail Aslan, Dr. Abdulaziz Kaya, Dr. Hasan Eskalen, Dr. Celal Kurşun, Dr. Mustafa Çeşme, Dr. Musa Gögebakan

  • Journal: ChemistrySelect

  • Publisher: Wiley

  • Publication Date: February 16, 2024