Mohamed Arbili | Engineering | Research Excellence Award

Published on by Research Awards

Research Excellence Award

Mohamed Arbili — Erbil Polytechnic University, Iraq

Mohamed Arbili
Affiliation Erbil Polytechnic University
Country Iraq
Scopus ID 57221707646
Documents 43
Citations 1,425
h-index 21
Subject Area Engineering
Event International Research Awards
ORCID 0000-0001-6045-0255

Mohamed Arbili is an engineering researcher affiliated with Erbil Polytechnic University in Iraq. His documented scholarly profile includes 43 indexed documents, 1,425 citations, and an h-index of 21 according to the supplied Scopus profile information. His research record is presented in connection with the Research Excellence Award associated with the International Research Awards. [1]

Abstract

Mohamed Arbili is an engineering researcher affiliated with Erbil Polytechnic University, Iraq. The supplied scholarly information identifies a Scopus Author ID of 57221707646 and reports 43 indexed documents, 1,425 citations, and an h-index of 21. These bibliometric indicators provide a quantitative description of his indexed research visibility and citation record. His academic profile is associated with engineering and is presented in relation to the Research Excellence Award at the International Research Awards. The profile is additionally connected with an ORCID identifier, providing a persistent researcher identity record. The available information supports a structured academic recognition profile based on affiliation, subject area, indexed research output, citation activity, and researcher-identification information. [1] [2]

Keywords

Mohamed Arbili, Research Excellence Award, engineering research, Erbil Polytechnic University, Iraq, Scopus, ORCID, research impact, scholarly publications, citation analysis, International Research Awards. [1]

Introduction

Research recognition commonly considers documented scholarly activity, research outputs, disciplinary relevance, and evidence of academic impact. For Mohamed Arbili, the supplied profile identifies engineering as the principal subject area and Erbil Polytechnic University as the institutional affiliation. Bibliometric information from the stated Scopus record provides measurable indicators for describing his indexed research activity. [1]

Research Profile

The supplied research profile records 43 documents in Scopus, together with 1,425 citations and an h-index of 21. These figures describe indexed publication and citation activity . Bibliometric indicators can vary over time as databases add documents, citations, corrections, and author associations. [4]

Research Contributions

The available information supports describing Mohamed Arbili’s contribution at the level of documented engineering research output and scholarly visibility. The record of 43 indexed documents indicates sustained publication activity, while the reported citation count and h-index provide additional bibliometric measures of how the indexed work has been cited within the scholarly literature. [1]

Publications

The supplied data identifies 43 documents within the researcher’s Scopus record. Individual publication titles, journal information, publication years, and DOI identifiers were not supplied with the source data. Consequently, this page does not attribute specific articles or DOI records without a verifiable publication reference. The Scopus author profile provides the appropriate source for reviewing the indexed document record. [5]

Research Impact

The reported 1,425 citations and h-index of 21 provide quantitative indicators of the visibility of the researcher’s indexed scholarly output. Such measures are descriptive rather than comprehensive assessments of research quality, because citation practices differ across disciplines, publication types, databases, and periods. The figures should therefore be interpreted within their bibliometric context. [1]

Award Suitability

The supplied information connects Mohamed Arbili with the Research Excellence Award under the International Research Awards. His documented engineering affiliation, indexed research output, citation activity, and researcher identifiers provide factual elements that can be included in an academic recognition profile. Formal award eligibility and selection should be determined according to the applicable award criteria and verification process.[1]

Conclusion

Mohamed Arbili’s supplied academic record describes an engineering researcher at Erbil Polytechnic University, Iraq, with 43 Scopus-indexed documents, 1,425 citations, and an h-index of 21. His Scopus Author ID and ORCID provide identifiable scholarly records. These documented indicators form the factual basis for presenting his profile in connection with the Research Excellence Award.[5]

References

  1. Elsevier. (n.d.). Scopus author details: Mohamed Arbili, Author ID 57221707646. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57221707646
  2. ORCID. (n.d.). Mohamed Arbili: ORCID record 0000-0001-6045-0255. ORCID.
    https://orcid.org/0000-0001-6045-0255
  3. International Research Awards. (n.d.). International Research Awards official website.
    https://researchawards.net/
  4. Ali, T., Qureshi, M. Z., Al-Naghi, A. A. A., Arbili, M. M., Ahmed, M., Ghazouani, N., Alaneme, G. U., & Ajwad, A. (2026). Evaluating the performance of sustainable concrete made with different lengths of tyre waste steel fibers, silica fume, and rice husk ash. Journal of Natural Fibers, 23(1), 2649250.
    https://doi.org/10.1080/15440478.2026.2649250
  5. Rasheed, M. H. F., Taha, B. O., & Arbili, M. M. (2025). A design-oriented unified equation for the torsion constant of non-prismatic (linearly tapered) rectangular beams. Buildings, 15(21), 3926.
    https://doi.org/10.3390/buildings15213926

Wenqiang Yang | Advanced Materials Engineering | Research Excellence Award

Published on by Research Awards

Assoc. Prof. Dr. Wenqiang Yang | Advanced Materials Engineering | Research Excellence Award

Beihang University | China

Dr. Wenqiang Yang is an emerging leading scholar in the field of optoelectronic materials, specializing in perovskite semiconductors and their advanced device applications. His research centers on the design, synthesis, and physics of next-generation perovskite materials for high-performance photovoltaics, light-emitting diodes (LEDs), photodetectors, and scintillators. With a strong foundation in optoelectronic material physics, his work spans fundamental studies on ultrafast carrier dynamics, interface engineering, crystallization mechanisms, dielectric screening, and defect management, as well as the development of scalable and efficient device architectures. Dr. Yang’s investigations have significantly advanced the understanding of charge transport, stability enhancement, surface modifications, and interfacial optimization in halide perovskite systems, enabling notable progress toward commercially viable perovskite-based optoelectronics. A major portion of his research has focused on solving critical limitations in perovskite solar cells, including charge confinement, instability under environmental stress, and buried interface losses. His breakthroughs include demonstrating methods such as amine-assisted ligand exchange, green solution-bathing processes, low-dimensional interlayers, plasmonic functionalization, grain encapsulation, and surface-modifying quantum dots, which have improved device efficiency, photovoltage, and long-term stability. Several of his studies have been recognized as ESI Highly Cited Papers, and one was selected among the Top 100 Most Influential International Academic Papers in China (2018). Beyond photovoltaics, Dr. Yang has advanced research on perovskite photodetectors, demonstrating broadband and plasmonic-enhanced detection strategies, as well as on perovskite single-crystal micro-arrays that open pathways for high-performance functional optoelectronic devices. His work on dielectric screening and multiple-defect management has provided foundational insights that influence device engineering strategies worldwide. With over 20 SCI-indexed publications, more than 4114 citations, and an h-index of 19, his contributions have already shaped the direction of optoelectronic material research. Dr. Yang’s interdisciplinary collaborations across materials science, nanotechnology, energy engineering, and device physics further amplify the impact of his research, positioning him as a significant contributor to the global advancement of perovskite-based optoelectronic technologies.

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Featured Publications

Mohammad Silani | Engineering | Editorial Board Member

Published on by Research Awards

Assoc Prof Dr. Mohammad Silani | Engineering | Editorial Board Member

Isfahan University of Technology | Iran

Dr. Mohammad Silani is an accomplished Associate Professor in the Department of Mechanical Engineering at Isfahan University of Technology (IUT), Iran, where he currently serves as the Head of International Scientific Cooperation. His academic career reflects a continuous trajectory of excellence in multiscale modeling, computational mechanics, and advanced materials research. Since joining IUT as an Assistant Professor in 2015, Dr. Silani has made significant contributions in micromechanics, multiscale simulation, fracture mechanics, and computational materials science. From 2022 to 2023, he was awarded the prestigious MSCA Seal of Excellence Fellowship at the Free University of Bozen-Bolzano, Italy, where he advanced adaptive concurrent multiscale methods for wear modeling and developed coarse-grained molecular dynamics tools for fatigue crack propagation. His international research engagements also include visiting fellowships at the University of New South Wales in Australia, Qatar University, the National University of Singapore, and multiple research positions at Bauhaus University Weimar, Germany, where he contributed to the development of open-source multiscale finite element codes and advanced modeling techniques for nanocomposites. Dr. Silani earned all three of his degrees—B.Sc., M.Sc., and Ph.D.—from IUT, specializing in solid mechanics, fracture mechanics, vibrations, FEM, and multiscale analysis. He possesses strong programming expertise in Python, Fortran, MATLAB, and Abaqus scripting and has advanced proficiency in leading finite element software including Abaqus, ANSYS, and LS-DYNA. His research achievements include more than 2,400 citations with an H-index of 20, reflecting his impactful contributions to computational mechanics, phase-field modeling, stochastic analysis, XFEM, SBFEM, and machine-learning-assisted material design. He has supervised over 70 postgraduate students, taught a wide range of undergraduate and graduate courses, and reviewed for leading journals such as Materials & Design, International Journal of Fatigue, Composite Structures, and Scientific Reports. His extensive publication record includes high-impact works in Advanced Materials, International Journal of Fracture, Computational Mechanics, Nanotechnology, Acta Mechanica Sinica, and Journal of Mechanical Behavior of Biomedical Materials. Dr. Silani’s honors include the Distinguished Young Professor Award from Iran’s National Elites Foundation (2022, 2023), multiple national science grants, a DAAD Research Grant, and project funding from the German Research Foundation (DFG). His current research spans phase-field modeling of nanowires, fracture and wear simulations, machine learning for materials design, nano- and micro-scale damage analysis, bone tissue mechanics, and Industry 4.0-based mechanical monitoring. Dr. Silani maintains active collaborations with leading researchers worldwide, reinforcing his position as a distinguished scholar in computational mechanics and multiscale material modeling.

Profile: Google Scholar

Featured Publications

A computational library for multiscale modeling of material failure
Talebi, H., Silani, M., Bordas, S. P. A., Kerfriden, P., & Rabczuk, T. (2014). A computational library for multiscale modeling of material failure. Computational Mechanics, 53(5), 1047–1071.

Stochastic analysis of the fracture toughness of polymeric nanoparticle composites using polynomial chaos expansions
Hamdia, K. M., Silani, M., Zhuang, X., He, P., & Rabczuk, T. (2017). Stochastic analysis of the fracture toughness of polymeric nanoparticle composites using polynomial chaos expansions. International Journal of Fracture, 206(2), 215–227.

First-principles multiscale modeling of mechanical properties in graphene/borophene heterostructures empowered by machine-learning interatomic potentials
Mortazavi, B., Silani, M., Podryabinkin, E. V., Rabczuk, T., Zhuang, X., & Shapeev, A. V. (2021). First-principles multiscale modeling of mechanical properties in graphene/borophene heterostructures empowered by machine-learning interatomic potentials. Advanced Materials, 33(35), 2102807.