Muhammad Mansab | Financial Statistics and Analytics | Young Scientist Award

Mr. Muhammad Mansab | Financial Statistics and Analytics | Young Scientist Award

Liaoning Technical University | China

Mr. Muhammad Mansab is a researcher and engineer whose academic and professional trajectory reflects strong expertise in manufacturing engineering, sustainable supply chain management, and artificial intelligence applications. He holds a Bachelor of Science in Electrical Technology from the University of Lahore and a Master of Science in Project Management from the Superior College Lahore, both with outstanding academic results. His professional background includes extensive industrial experience as a Production Engineer at Escorts (Pvt. Ltd), Lahore, where he led projects involving electrical systems, energy metering, and continuous process optimization under USAID AMI initiatives. Currently affiliated with Liaoning Technical University as a Research Assistant, he contributes to advanced studies in green supply chain management, focusing on financial barrier mitigation, green bonds, and public–private partnership risk reduction. Mansab has authored and co-authored several peer-reviewed documents in areas such as sustainable manufacturing, artificial intelligence in healthcare, social commerce adoption, and human-factor reliability in intelligent construction. His scholarly record includes over 8 citations, an h-index of 1, and 2 indexed documents, reflecting an emerging research profile. Proficient in SPSS, R, Smart PLS (SEM), and Python, he integrates data-driven approaches to enhance firm performance through green innovation mediation. Recognized for academic excellence with the HEC Merit Scholarship and multiple international faculty development programs, he is also known for cross-cultural collaboration between China and South Asia, and is fluent in English and Urdu with basic proficiency in Mandarin.

Profiles: Scopus Google Scholar Orcid

Featured Publications

Sadiq, S., Kaiwei, J., Aman, I., & Mansab, M. (2025). Examine the factors influencing the behavioral intention to use social commerce adoption and the role of AI in SC adoption. European Research on Management and Business Economics, 31(1), 100268.

Hassan, S., Irfan, D., Nasim, F., Yakoi, P. S., Mansab, M., & Zubair, S. (2024). Room occupancy detection using IoT sensor data and machine learning. International Journal of Social Science Archives (IJSSA), 7(3).

Lixia, N., Jia’ao, W., Mansab, M., Wen, S., & Fenglian, X. (2025). Study on human factor reliability under the dynamic evolution of intelligent lifting construction accidents. American Journal of Multidisciplinary Research and Innovation.

Tapur, A., Ishtiaque, M., & FengYi, J. (2024). Artificial intelligence in healthcare: Ethical considerations and potential impact in Pakistan. International Journal of Social Science Archives (IJSSA), 7(3).

Lixia, N., & Mansab, M. (2025). Overcoming financial barriers in GSCM: Strategies for sustainable manufacturing in China and Pakistan. Process Integration and Optimization for Sustainability, 1–24.