Soner Top | Modeling | Innovative Research Award

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Innovative Research Award

Soner Top
Abdullah Gül University, Turkey

Soner Top
Affiliation Abdullah Gül University
Country Turkey
Scopus ID 57192650171
Documents 46
Citations 492
h-index 12
Subject Area Modeling
Event Global Composite Awards
ORCID 0000-0003-3486-4184

Soner Top is a researcher affiliated with Abdullah Gül University, Turkey, whose scholarly work focuses on modeling methodologies, composite materials, geopolymer systems, lightweight structural applications, and sustainable engineering solutions. His publication record, citation performance, and interdisciplinary research activities demonstrate continued engagement in advancing analytical and experimental approaches within materials and modeling research domains.[1]

Abstract

Soner Top has developed a research portfolio centered on modeling, sustainable composite materials, lightweight geopolymer technologies, and engineering applications. His investigations combine analytical modeling with experimental validation to improve material performance and structural efficiency. Through studies involving lightweight aggregates, geopolymer concretes, and advanced material systems, he has contributed to knowledge supporting environmentally conscious engineering practices. His scholarly output demonstrates engagement with interdisciplinary research themes connecting material science, structural design, sustainability, and computational modeling. Citation indicators and publication activity reflect recognized contributions within the broader engineering and composite materials research community.[1][2]

Keywords

  • Modeling
  • Geopolymer Concrete
  • Composite Materials
  • Lightweight Aggregates
  • Sustainable Engineering
  • Structural Performance
  • Material Characterization
  • Computational Analysis

Introduction

The research activities of Soner Top focus on integrating modeling approaches with advanced composite and geopolymer materials. His studies examine sustainable alternatives for structural applications while addressing performance, durability, and environmental considerations relevant to modern engineering challenges.[2]

Research Profile

With 46 indexed publications, 492 citations, and an h-index of 12, Soner Top has established a measurable academic presence. His work spans modeling, lightweight construction materials, geopolymer technologies, and interdisciplinary engineering applications supported by experimental and analytical methodologies.[1]

Research Contributions

His contributions include investigations of lightweight geopolymer concrete, utilization of alternative aggregates, sustainable material design, and performance optimization through modeling techniques. These studies support resource-efficient engineering solutions and enhance understanding of advanced composite material behavior.[2]

Publications

His publication record includes research articles addressing geopolymer concrete technologies, lightweight composite systems, material characterization, and structural modeling. These publications contribute to scientific literature focused on sustainability, performance evaluation, and innovative engineering material development.[2]

Research Impact

The citation performance of Soner Top’s publications indicates scholarly engagement within materials and engineering communities. His findings support ongoing research concerning sustainable construction materials, modeling methodologies, and environmentally responsible approaches to structural material innovation.[3]

Award Suitability

The Innovative Research Award recognizes meaningful scientific advancement. Soner Top’s combination of publication productivity, interdisciplinary modeling expertise, sustainable materials research, and documented academic impact aligns with the objectives typically associated with innovation-focused scholarly recognition programs.[4]

Conclusion

Soner Top’s research reflects sustained contributions to modeling and advanced material applications. Through studies emphasizing sustainability, lightweight composites, and engineering performance, his work contributes valuable knowledge supporting future developments in materials science and structural engineering.[1]

References

  1. Elsevier. (n.d.). Scopus author details: Soner Top, Author ID 57192650171. Scopus.https://www.scopus.com/authid/detail.uri?authorId=57192650171
  2. Top, S., Vapur, H., Altiner, M., Kaya, D., & Ekicibil, A. (2020). Properties of fly ash-based lightweight geopolymer concrete prepared using pumice and expanded perlite as aggregates. Journal of Molecular Structure.https://doi.org/10.1016/j.molstruc.2019.127236
  3. ORCID. (n.d.). ORCID record for Soner Top.https://orcid.org/0000-0003-3486-4184
  4. Global Composite Awards. (n.d.). Global Composite Awards Official Website.https://globalcompositeawards.com/

Issouf Fofana | Modeling | Research Excellence Award

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Issouf Fofana | Modeling | Research Excellence Award

Dr. Issouf Fofana at Université d’Abobo-Adjamé | Côte 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 Alzheimer’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.

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Syarifah Inayati | Modeling | Research Excellence Award

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Syarifah Inayati | Modeling | Research Excellence Award

Dr. Syarifah Inayati at Universitas Negeri Yogyakarta | Indonesia

Syarifah Inayati is an academic researcher at Universitas Negeri Yogyakarta with expertise in statistics, mathematical finance, and optimization, and a scholarly record that demonstrates strong engagement with advanced quantitative modeling and applied statistical analysis. Her research primarily focuses on time series modeling, particularly Markov Switching Autoregressive (MSAR) and Bayesian time-varying parameter models, which she applies to dynamic economic forecasting and financial market analysis. Several of her studies address financial risk and investment analysis, including stock market contagion between Indonesia and the United States, portfolio analysis using Gaussian mixture distributions with expectation–maximization algorithms, and risk measurement through Value at Risk methods under Bayesian mixture frameworks. Beyond financial applications, she has made notable contributions to socio-economic and public policy research, such as forecasting BPJS health insurance beneficiaries using fuzzy time series methods and modeling the Human Development Index of Central Java using three-parameter gamma regression. Her work in optimization includes nonlinear multiobjective optimization problems solved through Pareto front and weighting approaches, demonstrating methodological depth and versatility. In addition to theoretical and applied research, Syarifah Inayati is actively involved in community service and capacity building, contributing to workshops and training programs on nonparametric analysis, factor analysis, logistic regression, and statistical methods for social sciences and education. With 39 citations, an h-index of 4, and consistent citation growth since 2020, her research reflects a balanced integration of rigorous statistical methodology, interdisciplinary collaboration, and practical relevance. Overall, her scholarly contributions strengthen the application of modern statistical and econometric techniques in finance, economics, public policy, and applied mathematics, while also supporting knowledge dissemination through educational and community-oriented initiatives.

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