Thendo Sikhwari | Modeling | Innovation Catalyst Award

Innovation Catalyst Award

Thendo Sikhwari
University of Venda, South Africa

Thendo Sikhwari
Affiliation University of Venda
Country South Africa
Scopus ID 56094649300
Documents 3
Citations 29
h-index 3
Subject Area Modeling
Event Global Composite Awards

The Innovation Catalyst Award recognizes research activity associated with innovative approaches to modeling and computational investigation within the broader field of composite materials and engineering. In this context, the recognition profile of Thendo Sikhwari of the University of Venda is presented in relation to the Modeling subject area and the Global Composite Awards. The available Scopus record identifies an author profile with 3 documents, 29 citations, and an h-index of 3. [1]

Abstract

The Innovation Catalyst Award profile for Thendo Sikhwari highlights research activity situated within the field of Modeling. Modeling is an important methodological area in composite-materials research because computational and mathematical approaches can be used to investigate material response, simulate engineering conditions, examine relationships between variables, and support the interpretation of experimental observations. The available bibliographic information records three Scopus-indexed documents associated with the researcher, together receiving 29 citations, with a reported h-index of 3. [1]

Keywords

Modeling Award, Innovation Catalyst Award, Composite Materials Modeling, Computational Modeling, Materials Simulation, Engineering Modeling, Numerical Analysis, Composite Materials Research, Research Innovation, Global Composite Awards.

Introduction

Modeling provides a framework for representing physical systems through mathematical, numerical, computational, or analytical methods. In materials and engineering research, such approaches can help researchers study phenomena that may be difficult, expensive, or time-consuming to investigate exclusively through physical experimentation. Within composite-materials research, modeling may encompass material behavior, structural response, processing, damage development, performance prediction, and interactions across different length or time scales. [1]

Research Profile

Thendo Sikhwari is affiliated with the University of Venda in South Africa. The research profile supplied for this academic recognition page identifies Modeling as the relevant subject area. The corresponding Scopus author identifier is 56094649300. According to the supplied Scopus profile information, the record contains 3 documents, 29 citations, and an h-index of 3. [1]

Research Contributions

Within this recognition profile, the Modeling subject area provides the principal academic context for considering Sikhwari’s documented research record. The available bibliometric data confirm an indexed publication and citation record, while a complete assessment of individual scientific contributions would require examination of the underlying publications, methodologies, datasets, and research findings. [1]

Publications

The supplied profile information indicates 3 Scopus-indexed documents associated with Scopus Author ID 56094649300. [1] Specific publication titles, journal information, publication years, and DOI identifiers were not supplied with the profile data used for this page. Accordingly, individual publications and DOI records are not reproduced here to avoid attributing bibliographic information that has not been independently provided. [1]

Research Impact

The available Scopus record reports 29 citations across 3 documents and an h-index of 3. Citation counts offer one quantitative indicator of scholarly visibility, but they do not by themselves establish the quality, originality, societal relevance, or practical effectiveness of individual research contributions.

Award Suitability

The Innovation Catalyst Award is presented in this profile in connection with the Modeling subject area of the Global Composite Awards. Sikhwari’s supplied academic profile identifies Modeling as the relevant field and records an indexed research output of 3 documents, 29 citations, and an h-index of 3. These details provide a factual basis for documenting the researcher’s association with the stated subject area. [1]

Conclusion

The Innovation Catalyst Award profile documents Thendo Sikhwari of the University of Venda, South Africa, within the Modeling subject area of the Global Composite Awards. The supplied Scopus information records 3 documents, 29 citations, and an h-index of 3 under Scopus Author ID 56094649300. [1]

References

  1. Elsevier. (2026). Scopus author details: Thendo Sikhwari, Author ID 56094649300. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=56094649300
  2. Global Composite Awards. (2026). Global Composite Awards: Research recognition and academic award information.
    https://globalcompositeawards.com/

Issouf Fofana | Modeling | Research Excellence Award

Issouf Fofana | Modeling | Research Excellence Award

Dr. Issouf Fofana at Universitรฉ d’Abobo-Adjamรฉ | Cรดte d’Ivoire

Fofana Issouf, affiliated with Nangui Abrogoua University, focuses on computational drug design, molecular modeling, and pharmacokinetics-oriented inhibitor development against infectious and non-communicable diseases. His research encompasses structure-based and virtual screening approaches to identify and optimize small-molecule inhibitors targeting key enzymes of pathogens and human disease-relevant proteins. Notably, he has contributed to the development of inhibitors against Mycobacterium tuberculosis, including thymidylate kinase and enoyl-acyl carrier protein reductase, emphasizing favorable pharmacokinetic profiles for enhanced drug-likeness. His work extends to anticancer and antiviral applications, designing molecules targeting E6 papillomavirus proteins and SARS-CoV-2 3-chymotrypsin-like protease, employing in silico optimization and pharmacophore-based virtual screening strategies. Additionally, Fofana has explored the inhibition of human histone deacetylase 8 and acetylcholinesterase, contributing to potential therapeutic interventions for cancer and Alzheimerโ€™s disease, respectively. His integrative approach combines computational chemistry, pharmacokinetics, and molecular docking to accelerate the discovery of bioactive compounds with improved efficacy and safety. Overall, his research demonstrates a consistent commitment to applying in silico methodologies for rational drug design, aiming to translate computational insights into effective therapeutic candidates against infectious, neurodegenerative, and oncological targets.

Citation Metrics (Google Scholar)

10
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Citations
8

h-index
2

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๐ŸŸฆ Citationsย  ย  ย  ย  ย  ย  ย  ย  ๐ŸŸฉ h-indexย  ย  ย  ย  ย  ย  ๐ŸŸฅ i10-index

Featured Publications

Salem Brahim | Modeling | Best Researcher Award

Salem Brahim | Modeling | Best Researcher Award

Dr. Salem Brahim, Institut Supรฉrieur des Etudes Technologiques de Gafsa, Tunisia.

Neda Goodarzi | Model Updating | Best Scholar Award

Neda Goodarzi | Model Updating | Best Scholar Award

Ms. Neda Goodarzi , Best Scholar Award , Iran.

Short Biographyย ๐Ÿ“œ

Ms.Neda Goodarzi ๐ŸŽ“ย is a dedicated civil engineer specializing in structural health monitoring and model updating. She holds a Ph.D. from Universiti Putra Malaysiaย ๐Ÿ‡ฒ๐Ÿ‡พย and an MSc from Khaje Nasir Universityย ๐Ÿ‡ฎ๐Ÿ‡ท. With experience as a software instructor, supervisor, and tour leader, she excels in engineering, education, and multilingual communication. Proficient in ETABS, MATLAB, and ABAQUS, she has participated in national engineering competitionsย ๐Ÿ—๏ธย and published Q1 research papersย ๐Ÿ“–. Known for her patience, intelligence, and determination, she is a passionate academic and professional.

Publication Profile

Google Scholar

Education & Experienceย ๐ŸŽ“๐Ÿ‘ท

๐Ÿ“Œย Education:
  • ๐ŸŽ“ย Ph.D.ย in Structural Civil Engineering โ€“ Model Updating (UPM, Malaysia, 2020โ€“2024)
  • ๐ŸŽ“ย MScย in Structural Civil Engineering โ€“ Health Monitoring (Khaje Nasir, Iran, 2016โ€“2018)
  • ๐ŸŽ“ย BScย in Civil Engineering (Khaje Nasir, Iran, 2011โ€“2015)
  • ๐ŸŽ“ย Diplomaย in Mathematics (Imamat, Iran, 2008โ€“2011)
๐Ÿ“Œย Experience:
  • ๐Ÿ‘ฉโ€๐Ÿซย English Teacherย (English Institute, 2011โ€“2013)
  • ๐Ÿ’ปย Software Instructor (ETABS)ย (University, 2013โ€“2015)
  • ๐Ÿ—๏ธย Project Supervisorย (2015โ€“2017)
  • ๐ŸŒย English & Persian Tour Leaderย (2023โ€“2024/2025)
  • ๐Ÿซย English Teacher at Korean Kids Academyย (2024โ€“2025)

Summary Suitability

Dr. Neda Goodarzi, a distinguished recipient of theBest Researcher Award, has demonstrated exceptional academic and professional excellence, making her aย leading candidate for the Best Scholar Award. With a strong educational foundation, she has pursued advanced research inย health monitoring and model updating, contributing significantly to the industry through her innovative work atย University of Putra Malaysia (UPM). studies. Her research expertise includesย structural health monitoring, civil engineering model updating, and applied engineering software solutions (ETABS). She has effectively translated her academic knowledge into practical applications, supervising project implementations and teaching advanced engineering software.

Professional Development ๐Ÿ“ˆ๐Ÿ› ๏ธ

Ms.Neda Goodarzi is a skilled civil engineer with expertise in structural health monitoring and model updatingย ๐Ÿ—๏ธ. She is proficient inย ETABS, OpenSEES, SAP, ARTeMIS, AutoCAD, Tekla Structures, MATLAB, ABAQUS, and Ansysย ๐Ÿ’ป. A certified member of the Engineering Council, she has participated in steel and concrete structural workshopsย ๐Ÿข. She has attended nationalย engineering competitionsย ๐Ÿ†ย and has experience translatingย ISI research papersย ๐Ÿ“š. Fluent inย English, Malay, Spanish, and Arabic, she combinesย technical knowledge with strong communication skillsย ๐ŸŒ. Passionate about innovation, she continues to expand her expertise.

Research Focus ๐Ÿ”ฌ๐Ÿ“Š

Ms.Neda Goodarzi research interests lie in structural health monitoring, model updating, and innovative civil engineering techniquesย ๐Ÿ—๏ธ. She focuses onย enhancing the safety, durability, and resilience of structuresย by developing advanced computational modelsย ๐Ÿงฎ. Her work involvesย finite element analysis, data-driven decision-making, and real-time structural assessmentย ๐Ÿ“ก. She actively exploresย smart materials and sensor-based diagnosticsย to improve structural performance. Her interdisciplinary approach integratesย artificial intelligence with civil engineeringย ๐Ÿค–. Passionate about sustainable and earthquake-resistant structuresย ๐ŸŒ, she aims to bridge the gap betweenย theory and real-world applications.

Awards & Honors ๐Ÿ†๐ŸŽ–๏ธ

  • ๐Ÿฅ‡ย Top Bachelorโ€™s Studentย in Civil Engineering
  • ๐ŸŽ–๏ธย Direct Admission to MScย (Exceptional Talent)
  • ๐Ÿ…ย 19.5/20 in Masterโ€™s Thesis
  • ๐Ÿ“œย Q1 Research Publications
  • ๐Ÿ†ย National Engineering Competition Winner (Truss Bridge & Steel Bridge)
  • ๐Ÿ—๏ธย Participation in SCC Concrete National Competition (2019)
  • ๐Ÿ“–ย ISI Research Paper Translator

Publication Top Notes

  • “A Review of Health Monitoring and Model Updating of Vibration Dissipation Systems in Structures” by N. Godarzi and F. Hejazi was published in 2020 in Civil Engineering Journal, Vol. 6, No. 3, pp. 418-430.
  • As of now, it has been cited 10 times.ย ๐Ÿ“„๐Ÿ“Š๐Ÿ“…ย ย