Mr. Usman Muhammad Tukur | Green Technologies | Editorial Board Member

Mr. Usman Muhammad Tukur | Emirates College of Health Sciences and Technology | Nigeria

Mr. Usman Muhammad Tukur is a highly committed and research-driven professional currently advancing his expertise in the Physical Chemistry of Metallurgy, with a specialization in developing cathode materials for sodium-ion and lithium-ion energy-storage systems. With a strong academic foundation that includes a master’s degree in Physical Chemistry, postgraduate diplomas in Chemistry and Education, and a bachelor’s degree in Biochemistry, he brings multidisciplinary strength to his scientific work. His contributions span materials chemistry, corrosion science, environmental chemistry, and analytical evaluation, supported by multiple publications in reputable international journals. He has conducted impactful research on microbiologically influenced corrosion, comparative corrosion behaviour of mild steel in various water environments, phytoremediation of polluted soils, and physicochemical assessments of microbial interactions with metal surfaces, alongside analytical modelling for crude-oil product evaluation and review studies on organometallic applications, wastewater-treatment challenges, and nutritional impacts of food-processing practices. His scholarly influence is reflected in his research metrics, with Scopus indexing 3 documents, 6 citations, and an h-index of 1, while Google Scholar records 93 citations, an h-index of 5, and an i10-index of 3, highlighting his growing impact within the scientific community. Through continuous advancement and diverse research engagements, Mr. Usman Muhammad Tukur demonstrates strong analytical competence, scientific curiosity, and a dedication to advancing energy-storage materials, environmental sustainability, and practical research-based solutions.

Profiles: Scopus | Google Scholar

Featured Publications

Mudi, S. Y., Usman, M. T., & Ibrahim, S. (2015). Clinical and industrial application of organometallic compounds and complexes: A review. American Journal of Chemistry and Applications, 2(6), 151-158.
M., S. A., Usman, M. T., & Mukhtar, U. (2016). Parents socio-economic status and students academic performance in Nigeria educational system. International Journal of Education and Information Technology, 2(3), 14-18.
Usman, N. A., Tukur, U. M., & Usman, B. (2019). Comparative study on the corrosion behavior of mild steel in effluents, sea and fresh water. Bayero Journal of Pure and Applied Sciences, 12(1), 280-284.
Dolla, T. H., Mbokazi, S. P., Matthews, T., Mohamed, R., Sikeyi, L. L., Tukur, U. M., … (2025). Nano high-entropy materials for bifunctional oxygen electrocatalysis: Rational design, structure-activity relationships, and applications in rechargeable metal-air batteries. Energy Storage Materials, Article 104357.
Gumel, S. M., Usman, M. T., & Ado, A. (2015). Colouration industry wastewater treatments in Nigeria – hazard and treatment: A review. International Journal of Chemical and Biomolecular Science, 1, 27-33.
Usman, M. T., & Bishir, U. (2020). Microbiologically influenced corrosion of mild steel in some water environments. Algerian Journal of Materials Chemistry, 3(1), 1-10.

Dr. Kun-Ying Li | Sustainable Engineering | Best Researcher Award

Dr. Kun-Ying Li | National Chin-Yi University of Technology | Taiwan

Dr. Kun-Ying Li is an accomplished researcher in sustainable engineering and intelligent manufacturing, focusing on low-carbon technologies and energy-efficient machine tools. His research encompasses ISO14064-1:2018 greenhouse gas inventory, industrial energy-saving methods, intelligent thermal error analysis, cooling optimization, multi-objective optimization, and precision machinery design. His work emphasizes the integration of reliability engineering, applied mathematics, smart manufacturing systems, and computer-assisted engineering within the framework of Industry 4.0. He has contributed to several industry-academic collaboration projects aimed at optimizing cooling systems for multi-axis machine tools and implementing carbon inventory strategies in manufacturing transformation programs. These projects have involved partnerships with precision machinery and metal manufacturing companies, supported by national funding agencies. His expertise extends to developing innovative approaches for reducing energy consumption, enhancing process reliability, and improving the performance of advanced machine tools. Through a combination of technical insight and practical application, his research supports the transition toward intelligent, sustainable, and high-efficiency production systems that align with global goals for carbon reduction and green industry innovation. He has 220 citations by 151 documents, 29 published documents, and an h-index of 9, reflecting his consistent research contributions and growing academic influence in the fields of precision engineering and green manufacturing.

Profiles: Scopus | Google Scholar | ORCID

Featured Publications

Liu, Y. C., Li, K. Y., & Tsai, Y. C. (2021). Spindle thermal error prediction based on LSTM deep learning for a CNC machine tool. Applied Sciences, 11(12), 5444.
Li, K. Y., Luo, W. J., & Wei, S. J. (2020). Machining accuracy enhancement of a machine tool by a cooling channel design for a built-in spindle. Applied Sciences, 10(11), 3991.
Hsieh, M. C., Maurya, S. N., Luo, W. J., Li, K. Y., Hao, L., & Bhuyar, P. (2022). Coolant volume prediction for spindle cooler with adaptive neuro-fuzzy inference system control method. Sensors & Materials, 34, 28.
Li, K. Y., Luo, W. J., Hong, X. H., Wei, S. J., & Tsai, P. H. (2020). Enhancement of machining accuracy utilizing varied cooling oil volume for machine tool spindle. IEEE Access, 8, 28988–29003.
Li, K. Y., Maurya, S. N., Lee, Y. H., Luo, W. J., Chen, C. N., & Wellid, I. (2023). Thermal deformation and economic analysis of a multi-object cooling system for spindles with varied coolant volume control. The International Journal of Advanced Manufacturing Technology, 126(3), 1807–1821.
Maurya, S. N., Li, K. Y., Luo, W. J., & Kao, S. Y. (2022). Effect of coolant temperature on the thermal compensation of a machine tool. Machines, 10(12), 1201.