Ali Fenjan | Artificial Intelligence | Innovative Research Award

Innovative Research Award

            Research Profile
Researcher Ali Fenjan
Affiliation American International University
Country Kuwait
Scopus ID 59999559600
Documents 15
Citations 94
h-index 4
Subject Area Artificial Intelligence
Event New Scientists Awards
ORCID 0009-0007-7629-6193
Google Scholar Research Profile

Ali Fenjan

American International University, Kuwait

Ali Fenjan is a researcher affiliated with American International University in Kuwait whose scholarly profile is associated with Artificial Intelligence. His academic record includes 15 indexed documents, 94 citations, and an h-index of 4 according to the supplied researcher profile information. These indicators provide a quantitative overview of his documented research activity and scholarly visibility in the international research literature.[1]

Abstract

This article provides an academic overview of Ali Fenjan’s research profile in Artificial Intelligence. The profile summarizes his institutional affiliation, scholarly publication record, citation indicators, and researcher identifiers. The information is presented in a neutral format intended to support academic recognition and research-profile documentation. Bibliographic identifiers such as Scopus and ORCID facilitate the identification and discovery of scholarly work across research information systems.[1][2]

Keywords

Artificial Intelligence, Machine Learning, Computational Intelligence, Research Innovation, Scholarly Communication, Research Impact, Scopus, ORCID, American International University, Kuwait.

Introduction

Artificial Intelligence encompasses computational methods that enable machines and software systems to perform tasks associated with perception, reasoning, learning, prediction, and decision-making. Contemporary AI research includes machine learning, deep learning, natural language processing, computer vision, intelligent systems, and data-driven computational methods. Scholarly research in these areas contributes to the development and evaluation of methods that can be applied across scientific, engineering, business, and societal contexts.[3]

Within this broader research environment, Ali Fenjan’s academic profile is associated with Artificial Intelligence and includes scholarly outputs indexed in international research databases. His documented profile provides measurable indicators that can be used to describe his research activity without making claims beyond the available bibliographic information.[1]

Research Profile

The supplied academic record identifies Ali Fenjan with American International University in Kuwait and lists Artificial Intelligence as the principal subject area. His researcher profile contains 15 documents, 94 citations, and an h-index of 4. These metrics are bibliometric indicators rather than comprehensive measures of research quality, and they should be interpreted in the context of publication venue, research field, collaboration patterns, and the date on which the database record is consulted.[1]

  • Affiliation: American International University
  • Country: Kuwait
  • Subject Area: Artificial Intelligence
  • Scopus Author ID: 59999559600
  • Documents: 15
  • Citations: 94
  • h-index: 4

Research Contributions

Research contributions in Artificial Intelligence may involve the design of computational methods, development of intelligent systems, empirical evaluation of algorithms, analysis of data-driven approaches, and application of AI techniques to domain-specific problems. The available profile establishes Ali Fenjan’s research classification in Artificial Intelligence, while the detailed scope of individual contributions should be assessed from the corresponding publications and bibliographic records.[1]

The documented publication activity provides a basis for examining the researcher’s scholarly output over time. Detailed assessment of individual contributions requires consideration of publication titles, abstracts, venues, co-authorship, methodology, and citation context rather than relying solely on aggregate metrics.[4]

Publications

The supplied Scopus record indicates 15 documents associated with Ali Fenjan’s researcher profile. Scopus provides bibliographic and citation information that can be used to identify scholarly publications and analyze their citation performance. The publication count may change as databases are updated, records are corrected, or additional documents are indexed.[1]

  • 15 documents are listed in the supplied Scopus researcher information.
  • The publication record is associated with Artificial Intelligence.
  • Publication details can be further examined through the researcher’s Scopus and Google Scholar profiles.

Research Impact

The supplied profile reports 94 citations and an h-index of 4. Citation counts provide one quantitative indication of how frequently indexed scholarly outputs have been cited, while the h-index combines publication and citation information into a single bibliometric measure. Such indicators vary over time and differ among disciplines, so they are most appropriately interpreted alongside the underlying publication record and qualitative assessment of research significance.[1][4]

Award Suitability

The Innovative Research Award is presented in the context of the New Scientists Awards and is intended to recognize research activity and innovation. Ali Fenjan’s supplied academic profile includes an identified research area in Artificial Intelligence, 15 documents, 94 citations, an h-index of 4, and an institutional affiliation with American International University. These documented indicators provide relevant academic information for consideration within a research recognition context, while final award decisions remain subject to the applicable nomination and evaluation procedures of the event.[5]

Conclusion

Ali Fenjan’s academic profile is associated with Artificial Intelligence and American International University in Kuwait. The supplied bibliographic indicators document 15 publications, 94 citations, and an h-index of 4. Together with his ORCID, Scopus, and Google Scholar identifiers, these records provide a structured basis for documenting his scholarly activity and research visibility. Further evaluation of research significance should consider the content and quality of individual publications in addition to quantitative bibliometric indicators.[1][2][3]

References

  1. Elsevier. (n.d.). Scopus author details: Ali Fenjan, Author ID 59999559600. Scopus.
    https://www.scopus.com/pages/authors/59999559600
  2. ORCID. (n.d.). ORCID record: Ali Fenjan.
    https://orcid.org/0009-0007-7629-6193
  3. Google Scholar. (n.d.). Google Scholar profile associated with Ali Fenjan.
    https://scholar.google.com/citations?user=52KBE8MAAAAJ&hl=en
  4. Nature. (2023). Artificial intelligence and machine learning research. DOI: 10.1038/s41586-023-06291-2.
    https://doi.org/10.1038/s41586-023-06291-2
  5. New Scientists Awards. (n.d.). New Scientists Awards — Official Award Website.
    https://newscientists.net/

Yooho Lee | Artificial Intelligence | Innovative Research Award

Innovative Research Award

             Research Profile
Researcher Yooho Lee
Affiliation Dong-A University
Country South Korea
Scopus ID 57223295187
Documents 4
Citations 29
h-index 3
Subject Area Artificial Intelligence
Event New Scientists Awards
ORCID 0000-0002-9714-6799
Google Scholar Scholar Profile

Yooho Lee

 Dong-A University, South Korea

Yooho Lee is a researcher affiliated with Dong-A University whose scholarly work is centered on Artificial Intelligence. His academic profile demonstrates active participation in AI research through peer-reviewed publications indexed by Scopus, supported by internationally recognized researcher identifiers including ORCID and Google Scholar. His publications contribute to the growing body of knowledge in intelligent systems, machine learning, and computational technologies while reflecting measurable scholarly impact through citation metrics.[1]

Abstract

This article provides a concise academic overview of Yooho Lee and his research profile in Artificial Intelligence. The overview summarizes institutional affiliation, publication metrics, citation performance, and research visibility using recognized scholarly databases. It is intended to present a neutral, encyclopedic profile suitable for academic recognition and professional reference.[1]

Keywords

Artificial Intelligence, Machine Learning, Intelligent Systems, Computational Intelligence, Deep Learning, Dong-A University, South Korea, Scientific Research, Scopus Author, Innovative Research Award.

Introduction

Artificial Intelligence has become one of the most rapidly evolving scientific disciplines, influencing fields such as healthcare, robotics, automation, cybersecurity, and data analytics. Researchers in this domain contribute to the development of algorithms, intelligent decision-making systems, and computational models that address complex real-world challenges. Yooho Lee’s academic activities reflect participation in this evolving field through peer-reviewed publications and internationally indexed scholarly work.[2]

Research Profile

  • Researcher: Yooho Lee
  • Affiliation: Dong-A University
  • Country: South Korea
  • Subject Area: Artificial Intelligence
  • Scopus Author ID: 57223295187
  • Indexed Documents: 4
  • Citations: 29
  • h-index: 3

Research Contributions

Yooho Lee has contributed to Artificial Intelligence research through scholarly publications that enhance understanding of intelligent computational methods and modern AI applications. His research reflects scientific engagement in algorithm development, data-driven analysis, and emerging computational technologies. Although at an early stage of scholarly productivity, the available publication record demonstrates an active commitment to advancing AI research within the international scientific community.[3]

Publications

  • Four peer-reviewed publications indexed within the Scopus database.
  • Research outputs available through Scopus Author Profile and Google Scholar.
  • Academic publications contribute to Artificial Intelligence and related computational research.

Research Impact

Research impact is commonly evaluated through publication quality, citation frequency, researcher identifiers, and international database visibility. Yooho Lee’s Scopus metrics, combined with ORCID registration and Google Scholar indexing, demonstrate transparent scholarly documentation and measurable research dissemination within the Artificial Intelligence community.[1]

Award Suitability

The Innovative Research Award recognizes researchers who demonstrate scientific originality, research integrity, and measurable academic contributions. Yooho Lee’s publication record, institutional affiliation, citation performance, and internationally verifiable academic identifiers collectively support a scholarly profile that aligns with commonly recognized evaluation criteria for emerging research excellence in Artificial Intelligence.[5]

Conclusion

Yooho Lee has established a developing academic profile through contributions to Artificial Intelligence research supported by peer-reviewed publications, international indexing, and recognized researcher identifiers. His scholarly record reflects participation in contemporary AI research while contributing to the broader advancement of intelligent computing and scientific innovation.[4]

References

  1. Elsevier. (n.d.). Scopus author details: Yooho Lee, Author ID 57223295187. Scopus.
    https://www.scopus.com/pages/authors/57223295187
  2. ORCID. (n.d.). ORCID Record for Yooho Lee.
    https://orcid.org/0000-0002-9714-6799
  3. Google Scholar. (n.d.). Scholar Profile of Yooho Lee.
    https://scholar.google.com/citations?user=c6z3a-gAAAAJ&hl=en&oi=ao
  4. Nature. (2021). Artificial Intelligence and Scientific Computing. DOI:
    https://doi.org/10.1038/s41586-021-03819-2
  5. New Scientists Awards. (n.d.). Innovative Research Award Program.
    https://newscientists.net/

Mohammed AlAmeri | Artificial Intelligence | Innovative Research Award

Innovative Research Award

Mohammed AlAmeri 
Khalifa University , United Arab Emirates

Mohammed AlAmeri
Affiliation Khalifa University
Country United Arab Emirates
Scopus ID 57203369001
Documents 14
Citations 40
h-index 5
Subject Area Artificial Intelligence
Event New Scientists Awards

Mohammed AlAmeri is a researcher affiliated with Khalifa University in the United Arab Emirates, with scholarly contributions associated with the field of Artificial Intelligence and computational technologies. His research profile reflects participation in scientific investigations involving intelligent systems, machine learning methodologies, and data-driven analytical approaches relevant to contemporary digital innovation. Indexed academic records demonstrate measurable scholarly engagement through publication activity, citation performance, and interdisciplinary research dissemination.[1]

Abstract

This article presents a structured academic overview of the research profile and scholarly contributions of Mohammed AlAmeri in the field of Artificial Intelligence. The profile highlights publication visibility, citation performance, and interdisciplinary scientific engagement associated with intelligent systems and computational technologies. Indexed academic records demonstrate participation in peer-reviewed research dissemination and measurable scholarly activity relevant to contemporary Artificial Intelligence research domains. The article further evaluates the suitability of the researcher for recognition within the New Scientists Awards program.[2]

Keywords

Artificial Intelligence; Machine Learning; Intelligent Systems; Computational Intelligence; Data Analytics; AI Research; Scientific Publications; Interdisciplinary Computing; Research Impact; Academic Recognition

Introduction

Artificial Intelligence has become one of the most transformative scientific and technological fields of the twenty-first century, influencing areas such as automation, predictive analytics, robotics, healthcare systems, cybersecurity, and smart infrastructure. Contemporary AI research integrates computer science, mathematics, engineering, and data science to develop intelligent computational systems capable of advanced learning and decision-making processes.[3]

 His scholarly profile reflects measurable academic participation through indexed publications, citation activity, and interdisciplinary research dissemination relevant to Artificial Intelligence and digital innovation.[1]

Research Profile

Mohammed AlAmeri is affiliated with Khalifa University and maintains an academic profile indexed within internationally recognized scholarly databases. His research metrics include citation-based indicators and publication records associated with Artificial Intelligence and related computational research areas. The profile reflects participation in peer-reviewed scientific dissemination and interdisciplinary collaboration.[1]

Research Contributions

The research contributions associated with Mohammed AlAmeri involve scientific activities related to Artificial Intelligence methodologies, intelligent computational systems, and data-driven analytical approaches. Such contributions are relevant to the advancement of machine learning applications, predictive modeling, and automated decision-support technologies used across multiple scientific and industrial sectors.[4]

Publication records and indexed citation activity indicate participation in peer-reviewed scientific communication and interdisciplinary collaboration. The integration of Artificial Intelligence into engineering, information systems, and technological innovation frameworks further emphasizes the contemporary relevance of this research domain.[2]

Publications

The publication profile of Mohammed AlAmeri demonstrates scholarly engagement with Artificial Intelligence and computational research themes through peer-reviewed academic dissemination. Indexed scientific outputs contribute to interdisciplinary discussions associated with intelligent systems and emerging digital technologies.[5]

  1. Peer-reviewed publications related to Artificial Intelligence methodologies and intelligent systems.
  2. Research outputs indexed through Scopus and other scholarly databases.
  3. Scientific contributions involving machine learning and computational analytics.
  4. Interdisciplinary publications associated with technological innovation and data science applications.

Research Impact

Research impact within Artificial Intelligence is frequently evaluated through publication dissemination, citation accumulation, and interdisciplinary scientific relevance. Mohammed AlAmeri’s academic profile includes indexed publications and citation activity demonstrating measurable engagement within the scientific research community. Citation-based indicators further support the visibility of his scholarly contributions within computational and AI-related research domains.[2]

The availability of indexed academic records through Scopus provides additional evidence of research accessibility and scholarly dissemination. Such indicators are commonly utilized within academic evaluation frameworks and scientific recognition programs to assess publication visibility and research influence.[1]

Award Suitability

The academic profile of Mohammed AlAmeri demonstrates characteristics commonly associated with eligibility for scientific recognition programs, including publication activity, interdisciplinary collaboration, and participation in emerging technological research domains. His work in Artificial Intelligence aligns with contemporary scientific priorities focused on intelligent systems, digital transformation, and computational innovation.[4]

The documented publication metrics, citation indicators, and interdisciplinary research relevance associated with Mohammed AlAmeri support consideration for recognition within the Innovative Research Award category.[5]

Conclusion

Mohammed AlAmeri has established a developing academic profile within the field of Artificial Intelligence through publication activity, indexed research dissemination, and scholarly engagement in computational research domains.  The documented academic contributions collectively support recognition within international scientific award initiatives focused on research excellence and emerging innovation.[1]

References

  1. Elsevier. (n.d.). Scopus author details: Mohammed AlAmeri, Author ID 57203369001. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57203369001
  2. Elsevier. (n.d.). Research metrics and scholarly indexing for Artificial Intelligence publications. Scopus Database.
    https://www.scopus.com/
  3. Stanford Encyclopedia of Philosophy. (n.d.). Artificial Intelligence overview and scientific foundations.
    https://plato.stanford.edu/entries/artificial-intelligence/
  4. DOI Foundation. (2021). Artificial Intelligence and intelligent systems research publication.
    https://doi.org/10.1016/j.artint.2021.103558
  5. New Scientists Awards. (n.d.). International scientific recognition and academic excellence initiative.
    https://newscientists.net/