Majed Alrobaian | Modeling | Best Scholar Award

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Best Scholar Award

Majed Alrobaian
Affiliation Taif University
Country Saudi Arabia
Scopus ID 57189301733
Documents 64
Citations 1260
h-index 21
Subject Area Modeling
Event Global Composite Awards
ORCID 0000-0002-8047-3515

Majed Alrobaian
Taif University, Saudi Arabia

The Best Scholar Award recognizes sustained academic excellence, scholarly productivity, and measurable research impact demonstrated through peer-reviewed publications, citations, interdisciplinary collaboration, and contributions to scientific advancement. Majed Alrobaian of Taif University has established an active research profile in the field of modeling, producing scholarly publications that have contributed to the international scientific community. Bibliometric indicators, including publication output, citation performance, and h-index, provide objective evidence of sustained academic influence and professional engagement within the research ecosystem.[1]

Abstract

This article presents an academic overview of Majed Alrobaian’s scholarly profile in relation to the Best Scholar Award. The assessment considers publication productivity, citation performance, research quality, interdisciplinary relevance, and international academic visibility. Available bibliometric indicators demonstrate a sustained record of peer-reviewed research with measurable scientific influence, supporting recognition within competitive academic award programs.[1]

Keywords

Best Scholar Award; Modeling; Scientific Research; Citation Analysis; Scopus; Academic Excellence; Bibliometrics; Research Impact; Scholarly Recognition; Global Composite Awards.

Introduction

Recognition of scholarly achievement increasingly relies on transparent academic indicators alongside peer evaluation. Publication quality, citation metrics, research collaboration, innovation, and societal relevance collectively contribute to evaluating research excellence. The Best Scholar Award aims to acknowledge researchers who have demonstrated meaningful scientific contributions through sustained research productivity and measurable academic influence.[2]

Research Profile

Majed Alrobaian is affiliated with Taif University in Saudi Arabia and has developed an active research portfolio centered on modeling and related computational methodologies. According to the available Scopus author profile, the researcher has authored 64 indexed publications, received 1,260 citations, and achieved an h-index of 21. These metrics indicate continuous scholarly engagement and consistent citation performance across published work.[1]

Research Contributions

Development of computational modeling approaches supporting scientific analysis. Publication of peer-reviewed research in internationally indexed journals. Contribution to interdisciplinary research through quantitative methodologies. Support for knowledge dissemination through collaborative scientific publications. Demonstration of sustained citation impact across multiple research outputs.

Publications

The research portfolio includes numerous peer-reviewed publications indexed within Scopus and related scholarly databases. Published studies contribute to developments in computational modeling and associated scientific applications. Representative scholarly literature is supported by DOI-based digital identification systems for long-term accessibility.[3]

Research Impact

Bibliometric indicators provide objective evidence of research visibility and scholarly influence. The publication record, citation count, and h-index collectively demonstrate the relevance of the research within the international scientific community. These indicators are widely used in institutional evaluation, funding decisions, and academic recognition programs.[2]

Award Suitability

Based on the available bibliometric profile and sustained scholarly activity, Majed Alrobaian demonstrates characteristics commonly associated with competitive academic recognition programs. The combination of publication productivity, citation performance, international indexing, and continued research activity supports consideration for the Best Scholar Award under established academic evaluation practices. Final award decisions remain subject to independent peer review and committee assessment.[2]

Conclusion

Majed Alrobaian has established a measurable academic profile through sustained research output, recognized citation performance, and continued contribution to the field of modeling. Bibliometric evidence and scholarly productivity indicate a research career characterized by consistent scientific engagement and international visibility, making the profile appropriate for consideration within academic recognition initiatives such as the Global Composite Awards.[1]

References

  1. Elsevier (2026). Scopus author details: Majed Alrobaian, Author ID 57189301733. Scopus.
    https://www.scopus.com/pages/search/authors?firstName=Majed&lastName=Alrobaian
  2. Global Composite Awards (2026). Best Scholar Award evaluation and recognition framework.
    https://globalcompositeawards.com/
  3. Journal of Sensors (2026). Disposable Screen-Printed Microchip Based on Nanoparticles Sensitive Membrane for Potentiometric Determination of Lead. https://doi.org/10.1155/2024/7610614

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/

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.

Citation Metrics (Google Scholar)

40
30
20
10
0

Citations
39

h-index
4

i10-index
0

                             🟦 Citations  🟥 h-index  🟩 i10-index

Featured Publications

Wenyan Wu | Modeling | Best Researcher Award

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Wenyan Wu | Modeling | Best Researcher Award

Dr. Wenyan Wu at Guangdong University of Technology | China

Dr. Wenyan Wu is an emerging researcher whose work focuses on the intersection of artificial intelligence, multimodal learning, and intelligent systems with applications in emotion recognition, sentiment analysis, and human-computer interaction. Since creating her ORCID record in August 2022, Dr. Wu has actively contributed to advancing research in cross-modal data analysis, integrating deep learning frameworks with cognitive and affective computing techniques. Her recent publication, “Modality-Enhanced Multimodal Integrated Fusion Attention Model for Sentiment Analysis” (Applied Sciences, 2025), introduces a novel attention-based fusion approach to improve sentiment analysis accuracy by effectively capturing inter-modal dependencies across text, audio, and visual cues. In “Collaborative Analysis of Learners’ Emotional States Based on Cross-Modal Higher-Order Reasoning” (Applied Sciences, 2024), Dr. Wu explores emotion-aware learning environments, presenting innovative reasoning mechanisms for identifying and analyzing learners’ affective states to enhance adaptive education systems. Her research on “Mask-Wearing Detection in Complex Environments Based on Improved YOLOv7” (Applied Sciences, 2024) demonstrates her interdisciplinary expertise, combining computer vision and deep neural networks to address real-world safety monitoring challenges. Earlier, her foundational study, “A Novel Method for Cross-Modal Collaborative Analysis and Evaluation in the Intelligence Era” (Applied Sciences, 2022), laid the groundwork for her later research by proposing an integrated model for data collaboration across modalities in intelligent environments. Dr. Wu’s scholarly output reflects her strong analytical and technical acumen, emphasizing multimodal integration, attention mechanisms, and deep learning optimization. Her contributions not only advance theoretical understanding but also provide practical frameworks for developing emotionally intelligent and context-aware AI systems, bridging the gap between computational models and human-centered design in modern intelligent applications.

Profile: Orcid 

Featured Publications 

Memet Şahin | Modeling | Best Researcher Award

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Memet Şahin | Modeling | Best Researcher Award

Prof. Dr. Memet Şahin, Gaziantep University, Turkey.

Salem Brahim | Modeling | Best Researcher Award

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Salem Brahim | Modeling | Best Researcher Award

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

Assist. Prof. Dr. Reza Gholizadeh | Modeling Awards | Best Researcher Award

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Assist. Prof. Dr. Reza Gholizadeh | Modeling Awards | Best Researcher Award

Assist. Prof. Dr. Reza Gholizadeh | Modeling Awards | Best Researcher Award

Dr. Reza Gholizadehaghoyeh is an internationally recognized chemical engineer and scientist, specializing in sustainable and environmentally friendly chemistry. With an impressive track record in multiple countries, including China, Cyprus, Italy, and Slovenia, he is renowned for pioneering a novel green bifunctional electrocatalyst that directly converts CO2 greenhouse gas into valuable chemicals and fuels. Dr. Gholizadehaghoyeh holds a Ph.D. in Chemical Engineering and Technology from Tsinghua University, China. His expertise spans renewable energy, machine learning, nanomaterials, multiscale modeling, and catalysis. Currently residing in Ljubljana, he serves as a Research Assistant Professor at the National Institute of Chemistry, Slovenia, where he leads EU-funded projects on CO2 conversion, photocatalysis, and hydrogen storage. Additionally, he is an advisor to Slovenian students and researchers, fostering innovation and sustainability in the scientific community.

Professional Profile:

Scopus

🎓Education:

Dr. Reza Gholizadehaghoyeh holds a Ph.D. in Chemical Engineering and Technology from Tsinghua University, Beijing, China, where he conducted research on “NOx Gases Adsorption and Decomposition on Metal Oxides and Si/Se Doped Graphene Catalysts: DFT Simulations” under the supervision of Professor Yang-Xin Yu (2011-2015). He earned his M.Sc. in Engineering with a focus on water field from the Department of Chemical Engineering, Science and Research Branch of Tehran University, Iran, where he investigated the corrosion of aluminum alloys and designed a water purification system (2004-2007). His academic journey began with a B.Sc. in Chemical Engineering from Azad University, Iran, where he studied the glucose separation of sugar beet (1997-2001).

🏢Work Experience:

Dr. Reza Gholizadehaghoyeh currently serves as a Research Assistant Professor in the Department of Catalysis and Chemical Reaction Engineering at Kemijski inštitut, Ljubljana, Slovenia (since June 2021). Additionally, he is a member of the editorial board for the Journal of Archives of Advanced Engineering Science (since November 2021). From November 2020 to November 2022, he was a Marie-Curie Individual Postdoctoral Scholar at the same institute. Prior to this, he was a member of the Board of Directors and R&D Manager at Moghavem Shargh Company in Mashhad, Iran (2017-2020). Dr. Gholizadehaghoyeh also completed a postdoctoral fellowship at Tsinghua University, Beijing, China (2015-2017), where he later served on the Strategic Scientific Advisory Panel and as an instructor for the General Science and Technology Summer School (2016). His earlier roles include being the Scientific Director of the Water Chemistry Group at the Science and Technology Research Institute in Tehran, Iran (2009-2011), and a Senior Consultant and Engineer in the Water & Wastewater Purification field at the same institute (2005-2009). He also worked as a Scientific Advisor and Instructor at Tabriz Azad University, Tabriz, Iran (2003-2005), and completed an internship at Tabriz Oil Refining Company, Tabriz, Iran (2000-2001)

🏆Awards:

Dr. Reza Gholizadehaghoyeh has been honored with several prestigious awards throughout his career. In 2020, he received the Marie-Curie Individual Fellowship from the European Union. His exemplary research contributions were also recognized by Tsinghua University in Beijing, China, where he was awarded the Best Researcher Award in 2016. Earlier in his career, he was distinguished by Azad University in Iran with the Distinguished Alumni Award in 2012.

Publication Top Notes:

Title: A comprehensive review on the carbide-base coatings produced by thermo-reactive diffusion: microstructure and properties viewpoints

Citations: 3

Title: Removal of GenX by APTES functionalized diepoxyoctane cross-linked chitosan beads

Citations: 3

Title: Computational investigation of N2O adsorption and dissociation on the silicon-embedded graphene catalyst: A density functional theory perspective

Citations: 11

Title: Molecular dynamics simulation of the aggregation phenomenon in the late stages of silica materials preparation

Citations: 93

Title: N2O adsorption and decomposition over ZnO(0001) doped graphene: Density functional theory calculations

Citations: 48

 

 

 

Assoc Prof Dr. Tareq Manzoor| Modeling Award | Best Innovation Award

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Assoc Prof Dr. Tareq Manzoor| Modeling Award | Best Innovation Award

Assoc Prof Dr. Tareq Manzoor , COMSATS UIVERSITY , Pakistan

Dr. Tareq Manzoor Ahmed is a distinguished academic and professional engineer with a robust background in Thermal Engineering and Petroleum Engineering. He currently holds the position of Tenured Associate Professor at the Energy Research Centre, COMSATS Lahore, where he has been contributing significantly since July 2020.

Profile :

Scopus

Google scholar

Orcid

Teaching Experience

  • Tenured Associate Professor (Energy Research Centre, COMSATS Lahore) since July 2020.
  • Assistant Professor (Energy Research Centre, COMSATS Lahore) since July 2017.
  • Assistant Professor (Department of Mechanical Engineering, COMSATS Sahiwal) from June 2013 to June 2017.
  • Assistant Professor (HITEC University) from Feb 2011 to March 2013.

Academic Contributions

Dr. Ahmed has been actively involved in academia, serving as Convener and Team In charge of OBE at CUI Sahiwal. He is a member of several prestigious committees, including the PEC EPE Curriculum and Experts Committee for Petroleum and Gas Engineering, and the Board of studies for Engineering programs at Khawaja Fareed University of Engineering & Information Technology, Rahim Yar Khan, and Energy Engineering at UET Taxila.

Education

  • PhD in Thermal Engineering (2013) from Ghulam Ishaq Khan Institute of Engineering Sciences and Technology, Topi.
    • PhD Title: Experimental Studies and Modeling the Damping Behavior of Shape Memory Alloys.
  • Master of Petroleum Engineering (Computational Fluid Mechanics, 2006) from Mehran University of Engineering and Technology, Jamshoro.
    • Specialization: Computational Fluid Mechanics.
  • MSc Computer Science (Optimization and Computational Mechanics, 2004) from NKFACT Lahore.
  • Bachelor of Science in Petroleum Engineering (2002) from University of Engineering and Technology, Lahore.

Professional Affiliations

Dr. Ahmed is a Professional Engineer (NIC No: 35202-2484931-1) and actively contributes to the academic community through his research and teaching in various fields of engineering.

Courses Taught/Interested

Dr. Ahmed’s academic interests span a wide range of engineering subjects, including Engineering Project Management, Power Generation, Energy Modeling and Efficiency, Thermal System Design, Heat Transfer, Optimization Modeling, and more.

Approved/Completed Projects

Dr. Ahmed has successfully led and completed several funded research projects, including those funded by HEC and PSF, focusing on energy storage, CFD analysis, combustion optimization, and optoelectronic devices.

 

Publications Top Notes 📄

Investigation of thermal and mechanical properties of Cu-Al alloys with silver addition prepared by powder metallurgy

Citation -48

Workplace incivility: a cynicism booster leading to turnover intentions

Citation -40

Synthesis and investigate the properties of Cu–Al–Ni alloys with Ag addition using powder metallurgy technique