Sina Fadaie | Additive Manufacturing | Editorial Board Member

Editorial Board Member

Sina Fadaie,
Stantec UK Limited and Aston University.

Sina Fadaie
Affiliation Stantec UK Limited and Aston University
Country United Kingdom
Scopus ID 57194102392
Documents 10
Citations 95
h-index 5
Subject Area Geo-structural health monitoring – Engineering
Event Global Metallurgy Awards
ORCID 0000-0002-6493-6372

Sina Fadaie is an engineering researcher associated with Stantec UK Limited and Aston University, United Kingdom. His stated subject area is geo-structural health monitoring, a field concerned with observing structural behavior, detecting changes, and supporting engineering assessment. Bibliographic records identify ten documents, 95 citations, and an h-index of five [1].

Abstract

Sina Fadaie is an engineering researcher affiliated with Stantec UK Limited and Aston University. His stated research area is geo-structural health monitoring. The available bibliographic profile records ten documents, 95 citations, and an h-index of five. This article provides a neutral academic overview based on the supplied researcher and bibliometric information [1].

Keywords

  • Geo-structural monitoring
  • Structural health monitoring
  • Engineering
  • Structural assessment
  • Research impact
  • Bibliometrics

Introduction

Sina Fadaie is an engineering researcher associated with Stantec UK Limited and Aston University, United Kingdom. His stated subject area is geo-structural health monitoring, a field concerned with observing structural behaviour, detecting changes, and supporting engineering assessment. Bibliographic records identify ten documents, 95 citations, and an h-index of five [1].

Research Profile

The available researcher profile indicates an engineering-oriented focus on geo-structural health monitoring. Fadaie is affiliated with Stantec UK Limited and Aston University and is identified by Scopus Author ID 57194102392. The reported bibliometric record comprises ten documents, 95 citations, and an h-index of five, providing evidence of research activity [1] [2].

Research Contributions

Fadaie’s research profile is positioned within geo-structural health monitoring, where engineering methods can support assessment of structural condition, performance, and change over time. The available information does not justify attributing specific techniques or findings without publication verification. His documented publication and citation record indicates sustained engagement with engineering research [1].

Publications

Scopus records attribute ten documents to Sina Fadaie under Author ID 57194102392. These publications form the bibliographic basis for the reported citation and h-index indicators. Detailed titles, journals, publication years, and DOI information should be verified against individual indexed records before being interpreted as evidence for particular findings or methodologies [1].

Research Impact

The reported bibliometric indicators provide a concise measure of Fadaie’s indexed research visibility: ten documents, 95 citations, and an h-index of five. Such indicators can help describe scholarly reach, although they should be interpreted alongside publication quality, collaboration, research relevance, and field-specific citation practices rather than treated as measures [1].

Award Suitability

For academic recognition assessment, Fadaie’s documented engineering affiliation, geo-structural health monitoring focus, publication record, citation count, and h-index provide relevant evidence for consideration. Award suitability should additionally consider verified research contributions, originality, practical relevance, peer-reviewed outputs, and alignment with Global Metallurgy Awards criteria, where applicable, using independently verifiable sources [1] [3].

Conclusion

Sina Fadaie’s profile presents an engineering research trajectory associated with geo-structural health monitoring and affiliations with Stantec UK Limited and Aston University. Available Scopus indicators record ten documents, 95 citations, and an h-index of five. These data support a concise bibliometric overview, while detailed evaluation requires examination of publications [1] [2].

References

  1. Elsevier. (n.d.). Scopus author details: Sina Fadaie, Author ID 57194102392. Scopus.

    https://www.scopus.com/pages/authors/57194102392

  2. ORCID. (n.d.). Sina Fadaie, ORCID iD 0000-0002-6493-6372. ORCID.

    https://orcid.org/0000-0002-6493-6372

  3. Global Metallurgy Awards. (n.d.). Global Metallurgy Awards.

    https://metallurgyaward.com/

Di Pan | Additive Manufacturing | Best Researcher Award

Best Researcher Award

Di Pan
University of Wollongong
Di Pan
Affiliation University of Wollongong
Country Australia
Scopus ID 57240866200
Documents 19
Citations 111
h-index 7
Subject Area Additive Manufacturing
Event Global Metallurgy Awards

Di Pan of the University of Wollongong has developed a research profile in additive manufacturing, contributing to the understanding of advanced fabrication technologies, process optimization, and metallurgical innovation within contemporary engineering applications.[1]

Abstract

This academic recognition article presents an overview of the research achievements of Di Pan, whose scholarly activities are associated with additive manufacturing and related metallurgical engineering fields. Through peer-reviewed publications, collaborative investigations, and contributions to advanced manufacturing technologies, the researcher has established a measurable academic footprint reflected through citation performance, publication output, and scientific influence.[1]

Keywords

Additive Manufacturing, Metal 3D Printing, Advanced Manufacturing, Metallurgical Engineering, Process Optimization, Materials Processing, Powder Bed Fusion, Industrial Innovation, Engineering Research, Manufacturing Technology.

Introduction

Additive manufacturing has emerged as a transformative field within modern engineering, enabling the production of complex geometries, reduced material waste, and customized industrial solutions. Researchers working in this area contribute to advancements in materials science, process control, mechanical performance evaluation, and industrial scalability. Di Pan’s research activities align with these broader scientific developments and support ongoing innovation within manufacturing technologies.[2]

Research Profile

The research profile of Di Pan reflects engagement with additive manufacturing methodologies and engineering applications. The publication record demonstrates active participation in scholarly communication, while citation metrics indicate recognition from the broader scientific community. The documented output includes journal articles, conference contributions, and collaborative research initiatives focused on manufacturing processes and materials performance.[1]

  • Research field: Additive Manufacturing.
  • Institution: University of Wollongong.
  • Scopus-indexed publications: 19.
  • Total citations: 111.
  • h-index: 7.

Research Contributions

Research contributions associated with additive manufacturing frequently encompass process parameter optimization, microstructural characterization, mechanical property assessment, and manufacturing efficiency improvements. Such work supports the development of reliable and scalable production systems for industrial sectors including aerospace, energy, transportation, and advanced materials engineering.[2]

  • Investigation of additive manufacturing technologies.
  • Evaluation of process-performance relationships.
  • Analysis of material behavior in advanced manufacturing systems.
  • Contribution to engineering and metallurgical research literature.

Publications

The publication portfolio includes peer-reviewed research addressing manufacturing processes, material characterization, and engineering innovation. These scholarly outputs contribute to the dissemination of knowledge and facilitate the exchange of scientific findings among academic and industrial stakeholders.[1]

  1. Research articles in additive manufacturing and materials engineering.
  2. Conference proceedings related to manufacturing innovation.
  3. Collaborative publications addressing industrial applications.
  4. Technical studies supporting process optimization and quality enhancement.

Research Impact

Research impact may be evaluated through publication productivity, citation performance, scientific visibility, and relevance to industrial challenges. With an established publication record and citation history, Di Pan’s work contributes to ongoing discussions surrounding advanced manufacturing technologies and their implementation across engineering sectors.[1]

Award Suitability

The Best Researcher Award acknowledges individuals who demonstrate scholarly excellence, sustained research activity, and meaningful contributions to scientific advancement. Based on documented research output, citation metrics, and engagement within additive manufacturing, Di Pan represents a profile consistent with the objectives of academic recognition programs that celebrate innovation, knowledge dissemination, and professional achievement.[1]

Conclusion

Di Pan’s scholarly activities within additive manufacturing contribute to the advancement of manufacturing science and engineering practice. Through research publications, academic collaboration, and engagement with emerging technologies, the researcher has established a measurable academic presence that supports continued innovation in metallurgical and manufacturing disciplines. Recognition through the Best Researcher Award highlights the importance of sustained scientific contribution and professional excellence.[1]

References

  1. Elsevier. (n.d.). Scopus author details: Di Pan, Author ID 57240866200. Scopus. https://www.scopus.com/authid/detail.uri?authorId=57240866200
  2. Gibson, I., Rosen, D., & Stucker, B. (2021). Additive Manufacturing Technologies. Springer. DOI:
    https://doi.org/10.1007/978-3-030-56127-7
  3. Global Metallurgy Awards. (n.d.). Award Recognition Program. https://metallurgyaward.com/