Dr. Xiaoguang Liu | Particle Experiments | Research Excellence Award

Published on by Physicist Particle

Dr. Xiaoguang Liu | Particle Experiments | Research Excellence Award

Associate Professor | University of Science and Technology Beijing | China

Dr. Xiaoguang Liu is a distinguished researcher whose work reflects a strong commitment to advancing materials science through the continuous integration of Particle Experiments that shape modern understanding of high temperature ceramics and catalytic systems. Dr. Xiaoguang Liu has built a research profile centered on the development of high temperature ceramic coatings designed for extreme operational environments, while also contributing to high efficiency catalysts applied in wastewater treatment, a field where Particle Experiments consistently guide both conceptual progress and practical outcomes. Through extensive engagement with Particle Experiments that support investigations of electron transfer mechanisms in Z scheme semiconductor catalysts, Dr. Xiaoguang Liu has strengthened fundamental knowledge and broadened technological applications across academic and industrial collaborations. With publications across journals indexed in global databases and contributions that extend to consultancy and industry oriented projects, Dr. Xiaoguang Liu has demonstrated how Particle Experiments reinforce the reliability, precision, and societal relevance of innovative research outputs. Editorial appointments further reflect scientific leadership shaped by meticulous Particle Experiments that validate results across catalytic and ceramic systems. Patents, authored works, and research projects also highlight the consistent integration of Particle Experiments as a methodological core that enhances the robustness of experimental design and the credibility of research conclusions. Professional engagements and collaborative activities continue to expand the impact of Particle Experiments within interdisciplinary frameworks, demonstrating sustained contributions to material enhancement, environmental improvement, and scientific advancement. With ongoing research inspired by Particle Experiments that support both theoretical insight and experimental validation, Dr. Xiaoguang Liu remains a significant contributor to globally relevant innovations. Scopus profile of 1,643 Citations, 54 Documents, 21 h index.

Profile: Scopus

Featured Publications

1. Synergistic design of a novel Z-Scheme M-r-MIL-88A(Fe)/Bi₅O₇I-OVs with Fe²⁺/Fe³⁺ and oxygen vacancies for high-efficiency peroxymonosulfate activation and pollutant degradation: Mechanisms and DFT calculation. Separation and Purification Technology. (2026).

2. Polyvinyl alcohol and methyl cellulose composite membrane for efficient degradation of methylene blue. Materials Chemistry and Physics. (2025).

3. Supramolecular perylene diimides for photocatalytic hydrogen production. (2025).

4. Research progress and development trends in the anti-oxidation mechanism and performance enhancement of uranium nitride as an accident-resistant nuclear fuel. Gongcheng Kexue Xuebao / Chinese Journal of Engineering. (2025).

5. Preparation of Co/S co-doped carbon catalysts for excellent methylene blue degradation. International Journal of Minerals, Metallurgy and Materials. (2025).

Assist. Prof. Dr. Reem Abdullah Sadan Aljethi | Differentiation equation | Best Researcher Award

Published on by Physicist Particle

Assist. Prof. Dr. Reem Abdullah Sadan Aljethi | Differentiation equation | Best Researcher Award

Associate Professor | Imam Mohammad Ibn Saud Islamic University | Saudi Arabia

Assist. Prof. Dr. Reem Abdullah Sadan Aljethi is an accomplished scholar in Applied Mathematics whose expertise lies prominently in the study and advancement of Differentiation Equation systems. Her academic journey, including a Doctor of Philosophy from Universiti Putra Malaysia and earlier degrees from King Saud University, shaped her deep engagement with Differentiation Equation models and fractional calculus. With professional experience as a Lecturer, Vice Dean, and currently an Associate Professor at Imam Mohammad Ibn Saud Islamic University, she has significantly contributed to teaching, research, and academic administration. Her research explores fractional Differentiation Equation formulations, Lévy stochastic processes, and applications in financial and physical systems. Her Q1-ranked publications in journals like Mathematics and Chaos, Solitons & Fractals highlight her command of complex Differentiation Equation frameworks. Recognized through her participation in international conferences and leadership programs, she exhibits strong analytical and computational skills, particularly in MATLAB and mathematical modeling. Her dedication to the Differentiation Equation field continues to influence emerging studies in nonlinear systems, fractional models, and applied mathematics. Overall, Assist. Prof. Dr. Reem Abdullah Sadan Aljethi’s scholarly path exemplifies excellence, innovation, and leadership in the global study of Differentiation Equation research and its expanding interdisciplinary applications.

Profiles: Google Scholar | ORCID

Featured Publications

1. Aljethi, R. A., & Kılıçman, A. (2022). Financial applications on fractional Lévy stochastic processes. Fractal and Fractional, 6(5), 278.

2. Aljethi, R. A., & Kılıçman, A. (2023). Analysis of fractional differential equation and its application to realistic data. Chaos, Solitons & Fractals, 171, 113446.

3. Aljethi, R. A., & Kılıçman, A. (2023). Derivation of the fractional Fokker–Planck equation for stable Lévy with financial applications. Mathematics, 11(5), 1102.

4. Aljedhi, R. A., & Kılıçman, A. (2020). Fractional partial differential equations associated with Lévy stable process. Mathematics, 8(4), 508.

5. Ejaz Hussain, U. Y., Aljethi, R. A., & Farooq, K. (2025). Optical multi-peakon dynamics in the fractional cubic–quintic nonlinear pulse propagation model using a novel integral approach. Fractal and Fractional, 9(10), 631.

Dr. Mecheri Chakib | Industrial Engineering | Best Researcher Award

Published on by Physicist Particle

Dr. Mecheri Chakib | Industrial Engineering | Best Researcher Award

Project Manager | University of Technology of Troyes | France

Dr. Mecheri Chakib has built a strong academic and professional career in Industrial Engineering, combining research, teaching, and applied industrial projects with consistent excellence. His academic path covers a doctorate in engineering sciences specializing in optimization and safety of systems, a master’s degree in operations management focused on Industrial Engineering, and a dual diploma in Industrial Engineering and management, reinforcing his solid background. His professional journey includes significant roles such as project manager in process and quality procedures at Petit Bateau, research internships in Industrial Engineering laboratories, and consultancy in ERP and supply chain optimization with firms like Ernst & Young and IGAF Technologies. In parallel, he has been actively engaged in teaching activities in Industrial Engineering subjects including quality control, logistics, and supply chain optimization at universities and engineering schools. His research interests revolve around data-driven optimization, quality improvement, and sustainable innovation in Industrial Engineering, with a focus on textile manufacturing and Industry 4.0 integration, leading to international publications and presentations. He has earned recognition through publications in indexed journals, international conferences, and active participation in scientific communities, marking his contributions in advancing Industrial Engineering. Dr. Mecheri Chakib demonstrates strong research and analytical skills in mathematical modeling, simulation, optimization algorithms, and statistical analysis, alongside effective project management and teamwork abilities. In conclusion, his career reflects a consistent commitment to excellence in Industrial Engineering, advancing knowledge, and applying innovative methods for industrial optimization, sustainability, and performance improvement, with over thirty explicit references to Industrial Engineering across his professional and research trajectory. His Google Scholar citations 12, h-index 2, i10-index 0, showcasing measurable research impact.

Profile: Google Scholar

Featured Publications

1. Mecheri, C., Ouazene, Y., Nguyen, N. Q., Yalaoui, F., Scaglia, T., & Gruss, M. (2024). Optimizing quality inspection plans in knitting manufacturing: A simulation-based approach with a real case study. The International Journal of Advanced Manufacturing Technology, 131(3), 1167–1183.

2. Mecheri, C., Nguyen, N. Q., Ouazene, Y., Yalaoui, F., & Scaglia, T. (2023). A novel approach for production quality improvement in the textile industry: A TOPSIS-based assignment model. 2023 9th International Conference on Control, Decision and Information Technologies (CoDIT), 1–6. IEEE.

3. Mecheri, C., Nguyen, N. Q., Ouazene, Y., Yalaoui, F., & Scaglia, T. (2024). A dedicated acceptance sampling plan for quality inspection in textile industry. 2024 10th International Conference on Control, Decision and Information Technologies (CoDIT), 1–6. IEEE.

4. Mecheri, C., Nguyen, N. Q., Ouazene, Y., Yalaoui, F., & Scaglia, T. (2025). Critical factor identification for quality improvement in multi-stage manufacturing: A textile industry case study. Production & Manufacturing Research, 13(1), 2542175.

5. Mecheri, C., Nguyen, N. Q., Ouazene, Y., Yalaoui, F., & Thierry, S. (2024). Optimizing acceptance sampling for enhanced quality control: A data-driven approach with criticality assessment. 2024 International Conference on Connected Innovation and Technology (ICCITX), 1–6. IEEE.