Romulus Mawa | Engineering | Best Researcher Award

Dr. Romulus Mawa | Engineering | Best Researcher Award

Dr. Romulus Mawa | Engineering | China University of Geosciences | China

Dr. Romulus Mawa Tuzingila is an emerging researcher and Ph.D. candidate specializing in geological and petroleum engineering with a focus on rock mechanics, geomechanics, shale reservoir characterization, and subsurface energy resources, currently affiliated with the China University of Geosciences in Wuhan, China, where he contributes to experimental, analytical, and computational research within the Department of Petroleum Engineering and related key laboratories; he received his foundational education in earth sciences and petroleum exploration (with preliminary degrees completed prior to his doctoral studies, details are drawn from his extensive research output and academic profiles), and over the course of his academic career he has gained significant research experience working on multidisciplinary projects involving experimental rock physics, petrophysical characterization of organic-rich shale, hydraulic fracturing mechanisms, and CO₂–rock interactions as relevant to unconventional reservoir development and carbon storage strategies, conducting laboratory experiments such as uniaxial and triaxial compression, brittleness modeling, and mineralogical analysis using tools like X-ray diffraction and nuclear magnetic resonance, which have shaped his strong methodological and analytical expertise in geomechanical testing and numerical modeling; Dr. Tuzingila’s professional experience extends to international collaborations with co-authors from China and the Democratic Republic of the Congo and includes contributions to both high-impact scholarly journals and engineering society proceedings, demonstrating his ability to bridge fundamental science with applied energy engineering challenges, and his research interests center on the mechanical behavior of organic-rich marine shales, the effects of mineralogy and anisotropy on fracture propagation, and the implications of CO₂ geological storage and enhanced hydrocarbon recovery, supported by a robust set of research skills that range from experimental design and rock physics modeling to data interpretation and scientific writing; his scholarly contributions have attracted citations in related fields, reflecting peer recognition, and his awards and honors include acknowledgment of his peer-reviewed publications and participation in international research networks, underscoring his commitment to advancing knowledge in geomechanics and energy resources; overall, Dr. Tuzingila’s work continues to impact the understanding of subsurface mechanics and reservoir engineering, positioning him as a notable researcher in earth and energy sciences.

Academic Profile: Scopus

Featured Publications:

Tuzingila, R. M., et al. (2026). Machine learning to estimate the brittleness index of organic shale: Case study of Marcellus Shale formation. Journal of Energy Engineering.