Brahim Safi | Wastes Recycling and Recycled Ceramic Materials | Best Researcher Award

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Best Researcher Award

Brahim Safi
M’hamed Bougara University of Boumerdes, Algeria

Brahim Safi
Affiliation M’hamed Bougara University of Boumerdes
Country Algeria
Scopus ID 42262506000
Documents 58
Citations 772
h-index 12
Subject Area Wastes Recycling and Recycled Ceramic Materials
Event International Research Awards on Network Science & Graph Analytics
ORCID 0000-0003-2565-8135

Brahim Safi is an Algerian researcher affiliated with M’hamed Bougara University of Boumerdes whose academic work focuses on waste recycling technologies, recycled ceramic materials, sustainable construction materials, and environmentally responsible manufacturing processes. His research portfolio demonstrates a sustained contribution to the advancement of circular economy principles through the valorization of industrial by-products and recycled resources. The scope of his publications reflects interdisciplinary engagement across materials engineering, environmental sustainability, and industrial innovation.[1]

Abstract

This article presents an overview of the scholarly achievements of Brahim Safi and evaluates his suitability for recognition through the Best Researcher Award. His research emphasizes sustainable material development, industrial waste recovery, recycled ceramic applications, and environmentally conscious engineering solutions. Through peer-reviewed publications, collaborative research activities, and measurable citation impact, he has contributed to the growing body of knowledge supporting resource efficiency and circular manufacturing systems.[2]

Keywords

Waste Recycling, Recycled Ceramic Materials, Sustainable Construction, Circular Economy, Environmental Engineering, Materials Science, Industrial By-products, Resource Recovery.

Introduction

The increasing global emphasis on sustainable development has created significant demand for innovative materials and recycling technologies. Researchers working in this field play a crucial role in reducing environmental burdens while supporting industrial productivity. Brahim Safi’s work addresses these challenges through investigations into recycled materials, waste-derived resources, and sustainable engineering solutions that can be integrated into modern industrial practices.[3]

Research Profile

According to scholarly indexing records, Brahim Safi has produced 58 indexed documents and accumulated 772 citations with an h-index of 12. His research activities span materials engineering, waste recycling, cementitious composites, ceramic materials, and environmentally sustainable manufacturing. The breadth of his work demonstrates a consistent commitment to addressing industrial and environmental challenges through scientific investigation and technological innovation.[1]

Research Contributions

Safi’s contributions are characterized by the development of value-added applications for industrial residues and recycled resources. His investigations into ecological cement mortars, waste slag utilization, recycled foundry sand, bio-based composites, and corrosion-resistant coatings provide practical pathways for reducing environmental impacts while maintaining engineering performance standards.[4][5]

Publications

  • Synthesis of TiC Nanocarbide from Recycled Machined Ti Chips and Graphite Powder via Mechanical Alloying (2026).
  • Sustainable Bio-Based Rosin–Epoxy Composites: From Pine Forests to Polymers via Processing–Structure–Property Optimization (2026).
  • Used Foundry Sand as a Replacement for Sand in Concrete (2026).
  • An Ecological Cement Mortar Produced by Using Nanosilica and High Content of Metallurgical Waste Slag (2025).
  • Synthesis of Resin from Alfa Stem to Applied as an Adhesive Corrosion-Resistant Coating (2025).

Research Impact

The research output of Brahim Safi has contributed to scientific understanding in sustainable materials engineering and waste valorization. His citation record indicates continued academic engagement with his findings. The practical orientation of his studies further enhances their relevance to industry stakeholders seeking environmentally responsible material solutions and circular economy implementation strategies.[1][4]

Award Suitability

The candidature of Brahim Safi for the Best Researcher Award is supported by his sustained publication activity, measurable citation performance, interdisciplinary research portfolio, and contributions to sustainability-focused engineering research. His work aligns with contemporary scientific priorities emphasizing resource efficiency, environmental stewardship, and innovation in recycled materials, making him a noteworthy candidate for recognition within international academic forums.[2]

Conclusion

Brahim Safi has established a significant academic profile through research dedicated to sustainable materials, recycling technologies, and industrial waste utilization. His scholarly contributions demonstrate both scientific rigor and practical relevance. The combination of publication productivity, citation impact, and commitment to environmentally responsible engineering supports his recognition within the International Research Awards on Network Science & Graph Analytics framework.

References

  1. Elsevier. (n.d.). Scopus author details: Brahim Safi, Author ID 42262506000. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=42262506000
  2. ORCID. (n.d.). Brahim Safi Research Profile.
    https://orcid.org/0000-0003-2565-8135
  3. Materials Circular Economy. (2026). Synthesis of TiC Nanocarbide from Recycled Machined Ti Chips and Graphite Powder via Mechanical Alloying.
    https://doi.org/10.1007/s42824-026-00243-7
  4. Proceedings of the Institution of Mechanical Engineers, Part L. (2026). Sustainable Bio-Based Rosin–Epoxy Composites.
    https://doi.org/10.1177/14644207261432822
  5. Transportation Research Record. (2025). An Ecological Cement Mortar Produced by Using Nanosilica and High Content of Metallurgical Waste Slag.
    https://doi.org/10.1177/03611981251342234
  6. Proceedings of the Indian National Science Academy. (2025). Synthesis of Resin from Alfa Stem to Applied as an Adhesive Corrosion-Resistant Coating.
    https://doi.org/10.1007/s43538-025-00388-0

Richard Usang | Environmental Monitoring | Best Researcher Award

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Dr. Richard Usang | Environmental Monitoring | Best Researcher Award

Senior Data Scientist at Heineken Uk, United Kingdom📖

Dr. Richard Usang is a distinguished Chemistry expert and Data Scientist with extensive experience in industrial and environmental chemistry, AI-driven analytics, and machine learning applications. His expertise spans advanced chemical research, data-driven decision-making, and AI model evaluation. With a Ph.D. in Industrial & Environmental Chemistry and an MSc in Data Science, he bridges the gap between scientific research and AI innovations. Dr. Usang has led impactful projects in predictive modeling, process optimization, and sustainability-driven solutions across various industries.

Profile

Orcid Profile

Education Background🎓

  • Ph.D. Industrial & Environmental Chemistry – University of Ibadan, Nigeria (2021)
  • MSc Data Science – University of Sussex, UK (2023)
  • MSc Industrial Chemistry (Top 1%) – University of Ibadan, Nigeria (2014)
  • BSc Chemistry (Ranked 1st) – Benue State University, Nigeria (2011)

Professional Experience🌱

Dr. Usang is currently a Senior Data Scientist at Heineken UK, where he applies AI and machine learning to optimize production processes and marketing strategies. He previously served as a Lead Data Analyst at EMCOR UK, significantly improving data processing efficiency. His earlier roles at The Heineken Company included Data Scientist and Brewing Process Specialist, where he spearheaded predictive modeling projects, optimized brewing parameters, and contributed to sustainability initiatives. He also held an academic position as a Research Assistant at the University of Ibadan, conducting groundbreaking research on chemical processes and environmental impact assessments.

Research Interests🔬

Her research interests include:

  1. AI-driven chemical data analysis and predictive modeling
  2. Sustainable industrial processes and environmental chemistry
  3. Machine learning applications in materials science
  4. AI content evaluation and Natural Language Processing in Chemistry

Author Metrics

Dr. Usang has authored several peer-reviewed publications on environmental chemistry, AI-driven water quality assessments, and sustainable waste management. Notable works include:

  1. “Integrating Principal Component Analysis, Fuzzy Inference Systems, and Advanced Neural Networks for Enhanced Estuarine Water Quality Assessment.”
  2. “Synthesis, Aqueous Solubility Studies, and Antifungal Activity Test of Some Tributyltin(IV) Carboxylates.”
  3. Conference presentations at TU Braunschweig, Germany, and the University of Ibadan, Nigeria.
Awards and Honors
  • Recognized among the Top 1% in MSc Industrial Chemistry
  • Best Graduate (1st Rank) in BSc Chemistry at Benue State University
  • Contributor to multiple industry-driven AI and sustainability initiatives
Publications Top Notes 📄
1.  Integrating Principal Component Analysis, Fuzzy Inference Systems, and Advanced Neural Networks for Enhanced Estuarine Water Quality Assessment
  • Authors: Richard O. Usang, Bamidele I. Olu-Owolabi, Kayode O. Adebowale
  • Journal: Journal of Hydrology: Regional Studies
  • Publication Date: January 2025
  • DOI: 10.1016/j.ejrh.2025.102182
  • ISSN: 2214-5818
Abstract:

This research integrates Principal Component Analysis (PCA), Fuzzy Inference Systems (FIS), and Advanced Neural Networks to develop a more robust and precise estuarine water quality assessment model. The study applies machine learning and statistical techniques to improve water quality monitoring, pollution prediction, and ecological sustainability. By leveraging fuzzy logic and artificial intelligence, the proposed framework enhances the decision-making process for environmental management.

Key Highlights:
  • PCA for Data Reduction: Identifies key water quality parameters affecting estuarine ecosystems.
  • Fuzzy Inference Systems: Enhances interpretability and decision-making in water quality assessment.
  • Advanced Neural Networks: Improves prediction accuracy for water pollution trends and environmental impact analysis.
  • Application in Environmental Sustainability: Provides insights into climate change effects on estuarine water systems.

Conclusion

Dr. Richard Usang is an outstanding researcher whose interdisciplinary expertise, AI-driven environmental innovations, and industry-academic contributions make him a top contender for the Best Researcher Award. Expanding his AI applications, increasing global collaborations, and enhancing industry-academia partnerships will further solidify his impact in environmental monitoring and AI-based sustainability solutions.