Ali Fenjan | Artificial Intelligence | Innovative Research Award

Published on by New Scientists

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/

Hui Lyu | Artificial Intelligence and Machine Learning | Best Researcher Award

Published on by New Scientists

Dr. Hui Lyu | Artificial Intelligence and Machine Learning | Best Researcher Award

Student, Zibo Normal College | China

Dr. Hui Lyu is an interdisciplinary researcher specializing in complex-valued neural networks, infrared image enhancement, intelligent signal processing, data fusion, and optimization-based machine learning. Her peer-reviewed output includes 4 SCI-indexed journal articles and international conference papers, with publications in IEEE Sensors Journal, IEEE Access, Neural Processing Letters, and Signal, Image and Video Processing. Her research integrates adaptive convolutional filtering, quaternion extreme learning machines, and multisensor fault diagnosis frameworks. She is a contributor to national and municipal funded research on infrared vision systems, sensor testing, and complex neural learning algorithms, and holds 5 granted invention patents in infrared imaging and intelligent detection systems. Her work has received regional scientific achievement recognition.

View Scopus Profile  View ORCID Profile

Featured Publications

Boyuan Bai | Artificial Intelligence and Machine Learning | Best Researcher Award

Published on by New Scientists

Dr. Boyuan Bai | Artificial Intelligence and Machine Learning | Best Researcher Award

Doctor | Beijing University of Posts and Telecommunications | China

Dr. Boyuan Bai is an emerging researcher in advanced visual computing, with a focused contribution to 3D reconstruction, Gaussian Splatting, multi-view scene modeling, and uncertainty-aware machine learning. His work integrates computer graphics, deep learning, and computational geometry to develop intelligent systems capable of producing highly accurate and stable indoor scene reconstructions. With 83 citations, 4 Scopus-indexed publications, and an h-index of 3, he is rapidly establishing a strong research footprint. Dr. Boyuan Bai’s notable scientific contribution centers on UncertainGS, an uncertainty-aware indoor reconstruction framework published in Neurocomputing (SCI/Scopus). This research introduces a novel pipeline that integrates cross-modal uncertainty prediction to guide the optimization of Gaussian Splatting. His methodological innovation improves the fidelity of reconstructed surfaces, especially in textureless or geometrically ambiguous indoor regions. His incorporation of Manhattan-world constraints into the Gaussian Splatting process represents a significant leap forward in aligning 3D surface geometry with real-world structural patterns. His research areas broadly span multi-view 3D reconstruction, Gaussian Splatting, uncertainty modeling, scene understanding, and deep reinforcement learning for geometric perception. He actively contributes to the development of next-generation 3D vision technologies, with applications in robotics, digital twins, AR/VR environments, and autonomous spatial intelligence. His work shows strong potential for large-scale deployment in real-time virtual reconstruction and simulation systems. Dr. Boyuan Bai’s scholarly output includes peer-reviewed journal publications, research project leadership, and scientific contributions that address fundamental challenges in computational imaging. His research achievements demonstrate clear innovation, technical depth, and growing influence in the fields of computer vision and graphics. Through ongoing academic collaborations and continued focus on high-impact research problems, he is emerging as a promising researcher in intelligent 3D scene modeling and uncertainty-aware visual computing.

Profiles: Scopus | IEEE Xplore | ACM Digital Library 

Featured Publications

1. Bai, B., Qiao, X., Lu, P., Zhao, H., Shi, W., & others. (2025). Two grids are better than one: Hybrid indoor scene reconstruction framework with adaptive priors. Neurocomputing, 618(C). https://doi.org/10.1016/j.neucom.2024.129118

2. Huang, Y., Bai, B., Zhu, Y., Qiao, X., Su, X., Yang, L., & others. (2024). ISCom: Interest-aware semantic communication scheme for point cloud video streaming on Metaverse XR devices. IEEE Journal on Selected Areas in Communications, 42(4). https://doi.org/10.1109/JSAC.2023.3345430

3. Zhu, Y., Huang, Y., Qiao, X., Tan, Z., Bai, B., & others. (2023). A semantic-aware transmission with adaptive control scheme for volumetric video service. IEEE Transactions on Multimedia, 25. https://doi.org/10.1109/TMM.2022.3217928

4. Huang, Y., Zhu, Y., Qiao, X., Tan, Z., & Bai, B. (2021). AITransfer: Progressive AI-powered transmission for real-time point cloud video streaming. In Proceedings of the 29th ACM International Conference on Multimedia (MM ’21). https://doi.org/10.1145/3474085.3475624

Soufiane Bacha | Artificial Intelligence | Best Researcher Award

Published on by New Scientists

Mr. Soufiane Bacha | Artificial Intelligence | Best Researcher Award

PhD Student, University of Science and Technology Beijing, Algeria

Mr. Soufiane Bacha is a promising young researcher in Artificial Intelligence and Data Quality with a strong academic background and growing international exposure. He is currently pursuing a Ph.D. in Data Quality at the University of Science and Technology Beijing (2023–ongoing) and a Ph.D. in Cancer Epidemiology at the Department of Computer Science, Ibn Khaldoun University of Tiaret, Algeria (2021–2025). He also holds a Master’s degree in Software Engineering (2019–2021), where he ranked first in his class and completed a thesis on imbalanced datasets and boosting methods, and a B.Sc. in Computer Science (2016–2019) with strong foundations in algorithms, cryptography and programming. Professionally, Mr. Soufiane Bacha gained valuable international research experience through an internship at the Faculty of Polytechnic Mons, UMONS University in Belgium, where he worked on Internet of Things (IoT) applications involving Raspberry Pi, Arduino and sensor technologies. He has served as a part-time lecturer in Graph Theory and as an ICT trainer in web development, demonstrating strong teaching, leadership, and communication skills. His research interests span artificial intelligence, data quality, machine learning for imbalanced datasets, cancer epidemiology, distributed applications and business analytics. He is proficient in Python, C/C++, Java, SQL and data analysis tools, with expertise in OLAP, data mining, and deep learning frameworks. His achievements include an NVIDIA Deep Learning Institute Certificate, participation in AI workshops, and a Scopus-indexed publication. With a dual doctoral training and interdisciplinary focus, Mr. Soufiane Bacha is well-positioned to make impactful contributions to AI-driven data quality research and healthcare analytics on a global scale.

Profile: ORCID | Google Scholar | ResearchGate

Featured Publications

1. Bacha, S., Ning, H., Mostefa, B., Sarwatt, D. S., & Dhelim, S. (2025). A novel double pruning method for imbalanced data using information entropy and roulette wheel selection for breast cancer diagnosis (arXiv:2503.12239).