Shoaib Usman

Dr. Shoaib Usman is an Associate Professor in Nuclear Engineering and Radiation Science at Missouri University of Science and Technology (Missouri S&T), where he also serves as a Research Investigator at the Center for Research in Energy and Environment (CREE). His research focuses on health physics, radiological pathway analysis, machine learning applications in nuclear systems, uncertainty quantification, and cybersecurity for nuclear infrastructure. He holds a Ph.D. in Nuclear Engineering from the University of Cincinnati, along with multiple MS degrees in Nuclear Engineering and Health Physics.

Education:

• Ph.D. in Nuclear Engineering, University of Cincinnati (1997)
• M.S. in Health Physics, University of Cincinnati (1996)
• M.S. in Nuclear Engineering, University of Cincinnati (1993)
• B.S. in Mechanical Engineering, N.E.D. University of Engineering and Technology (1988)

Research Interests: Dr. Usman’s work spans advanced nuclear reactor design, accident-tolerant fuels, digital twin technology, and community engagement strategies for nuclear projects. He has extensively studied thermal-hydraulic phenomena in prismatic modular reactors and developed data-driven models for material behavior under extreme conditions.

Publications: His recent work emphasizes modular reactor safety, machine learning-driven multi-scale modeling, and uncertainty quantification in nuclear systems. Key themes include improving reactor core cooling efficiency, optimizing supply chains for small modular reactors, and enhancing cybersecurity frameworks for nuclear facilities.

Awards & Grants: No awards explicitly mentioned in the provided text. His research is supported through institutional and collaborative grants focused on nuclear innovation and safety.

Labs & Teams: Active member of CREE at Missouri S&T, contributing to interdisciplinary projects in energy sustainability and radiation safety.