Dr. Sufian Muhammad | Composite materials | Research Excellence Award

Dr. Sufian Muhammad | Composite materials | Doctor at Southeast University | China

Dr. Sufian Muhammad is a dedicated researcher and academic in Civil Engineering, specializing in concrete technology, cementitious materials, composite behavior, and machine-learning-assisted material design, known for integrating sustainability principles into advanced construction materials. Dr. Sufian Muhammad holds a strong academic foundation with graduate and postgraduate degrees in Civil Engineering, complemented by specialized research training in concrete materials, structural performance, and smart computational modeling. His professional experience spans roles as a research scholar, laboratory engineer, academic lecturer, and collaborative project investigator at Southeast University, Nanjing, China, where he contributes to funded projects, supervises students, and publishes high-impact research in multidisciplinary civil engineering domains. Dr. Sufian Muhammad’s research interests include high-performance concrete, steel-fiber and hybrid-reinforced composites, waste-derived construction materials, machine learning applications in concrete behavior prediction, sustainable construction technologies, and environmental material optimization. His research skills encompass experimental design, microstructural characterization, concrete mix development, structural performance evaluation, machine learning modeling (ANN, ANFIS, GEP), data analytics, scientific writing, and advanced laboratory testing for mechanical and durability properties. Dr. Sufian Muhammad has made impactful research contributions backed by 1175 citations, an h-index of 14 and an i10-index of 18, highlighting strong international research recognition. He has collaborated with global experts, published in top-tier journals such as Materials, Case Studies in Construction Materials, Frontiers in Materials, and Journal of Materials Research and Technology, and contributed to emerging research on low-carbon concrete, sustainable waste utilization, and AI-powered material optimization. His awards and honors include recognitions for outstanding publication performance, early-career research excellence, international collaborative contributions, and academic achievements in sustainable civil engineering. Throughout his career, Dr. Sufian Muhammad has demonstrated a steadfast commitment to advancing environmentally responsible construction materials while integrating artificial intelligence for predictive modeling and engineering innovation. In conclusion, Dr. Sufian Muhammad embodies the profile of a forward-looking civil engineering researcher whose scientific contributions, interdisciplinary expertise, and dedication to sustainable development continue to enhance modern concrete technology and inspire next-generation materials research.

Academic Profile: ORCID | Google Scholar

Featured Publications:

1. Ahmad, W., Farooq, S. H., Usman, M., Khan, M., Ahmad, A., Aslam, F., Yousef, R. A., … Effect of coconut fiber length and content on properties of high strength concrete. Materials, 13(5), 1075. (2020). Citations: 265.

2. Althoey, F., Ansari, W. S., Sufian, M., & Deifalla, A. F. Advancements in low-carbon concrete as a construction material for the sustainable built environment. Developments in the Built Environment, 16, 100284. (2023). Citations: 203.

3. Qin, D., Gao, P. K., Aslam, F., Sufian, M., & Alabduljabbar, H. A comprehensive review on fire damage assessment of reinforced concrete structures. Case Studies in Construction Materials, 16, e00843. (2022). Citations: 124.

4. Sufian, M., Ullah, S., Ostrowski, K. A., Ahmad, A., Zia, A., Śliwa-Wieczorek, K., … An experimental and empirical study on the use of waste marble powder in construction material. Materials, 14(14), 3829. (2021). Citations: 104.

5. Li, Y., Zhang, Q., Kamiński, P., Deifalla, A. F., Sufian, M., Dyczko, A., Kahla, N. B., … Compressive strength of steel fiber-reinforced concrete employing supervised machine learning techniques. Materials, 15(12), 4209. (2022). Citations: 82.