Anis Ur Rehman | Computer Science | Young Scientist Award

Young Scientist Award

Anis Ur Rehman
Chaoyang University of Technology Taiwan

Anis Ur Rehman
Affiliation Chaoyang University of Technology Taiwan
Country Taiwan
Scopus ID 59493184000
Documents 5
Citations 12
h-index 2
Subject Area Computer Science
Event International AI Data Scientists Award
ORCID 0009-0006-8464-3581

Anis Ur Rehman of Chaoyang University of Technology Taiwan has established an early-career research profile in Computer Science through scholarly publications, citation impact, and participation in internationally recognized research activities. His academic record reflects engagement with contemporary technological challenges and contributes to ongoing developments in data-driven computing and intelligent systems.[1]

Abstract

This article presents a concise overview of the academic achievements of Anis Ur Rehman and examines his suitability for recognition through the Young Scientist Award. The assessment considers publication activity, citation metrics, scholarly visibility, and contributions to Computer Science research.[1]

Keywords

Computer Science, Artificial Intelligence, Data Science, Machine Learning, Research Impact, Academic Excellence, Young Scientist Award.

Introduction

Early-career researchers play an important role in advancing scientific knowledge and technological innovation. Recognition programs such as the Young Scientist Award encourage continued excellence and support the development of future research leaders. Anis Ur Rehman represents a growing cohort of scholars contributing to modern computational research and intelligent technologies.[2]

Research Profile

According to publicly available academic profiles, Anis Ur Rehman has produced peer-reviewed scholarly work indexed within major research databases. His profile includes five indexed documents, twelve citations, and an h-index of two, indicating measurable scholarly engagement and growing visibility within the research community.[1]

Research Contributions

His research activities focus on computational methods and emerging digital technologies. Through collaborative and independent investigations, he has contributed to the broader understanding of intelligent systems, data processing methodologies, and technology-enabled solutions that support academic and industrial applications.[3]

Publications

  • Five Scopus-indexed scholarly publications.
  • Research contributions in Computer Science and related technologies.
  • Internationally accessible research outputs through scholarly databases.

Research Impact

Citation activity demonstrates that the research outputs have attracted attention from other scholars. Although still in an early stage of career development, the available metrics suggest a foundation for future academic growth and broader scientific influence.[1]

Award Suitability

The combination of peer-reviewed publications, measurable citation performance, active research participation, and commitment to scientific advancement supports consideration for the Young Scientist Award. These indicators align with common evaluation criteria emphasizing research quality, innovation, and emerging scholarly leadership.[2]

Conclusion

Anis Ur Rehman’s academic profile reflects promising research development within Computer Science. His documented scholarly outputs, citation record, and engagement with contemporary technological topics provide a basis for recognition through the International AI Data Scientists Award Young Scientist Award category.

References

  1. Elsevier. (n.d.). Scopus author details: Anis Ur Rehman, Author ID 59493184000. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=59493184000
  2. ORCID. (n.d.). Researcher Profile: Anis Ur Rehman.
    https://orcid.org/0009-0006-8464-3581
  3. Digital Object Identifier Foundation. (n.d.). DOI System Reference.
    https://doi.org/10.1109/5.771073

Tianying Chang | Data Engineering | Research Excellence Award

Prof. Tianying Chang | Data Engineering | Research Excellence Award

Professor | Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences | China

Tianying Chang focuses on optical sensing, fiber optic systems, and terahertz spectroscopy. Their research advances high-sensitivity measurement techniques, distributed acoustic sensing, and signal processing methods. With strong contributions to instrumentation and photonics, they develop innovative models and algorithms for real-time monitoring, detection, and analysis in engineering and applied physics domains.

Citation Metrics (Scopus)

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Citations
2361

Documents
162

h-index
29


View Scopus Profile

Featured Publications

Phase Correction Based on Adaptive Fading Feedback in Distributed Fiber Acoustic Sensing Systems
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Distributed Fiber Optic Acoustic Sensing System Based on Fading Mask Autoencoder and Application in Water Navigation Security Events Identification
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Tunnel damage detection based on finite element simulation and optical fiber sensing
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