Institute of Geotechnical Engineering, School of Transport Engineering - China
AUTHOR PROFILE
EARLY ACADEMIC PURSUITS:
MARSHEAL FISONGA embarked on his academic journey with distinction, earning a Bachelor of Science degree in Mining Engineering from the High Institute of Mining and Metallurgy of Moa (University of Moa) in Cuba. Notably, he received Summa Cum Laude honors, affirming his outstanding academic achievements.
PROFESSIONAL ENDEAVORS:
Since October 2019, Marsheal Fisonga has served as a dedicated Lecturer in the Department of Mining Engineering at The University of Zambia, School of Mines. Prior to this, he held the position of Staff Development Fellow and also contributed as a Part-Time Assistant Tutor at the same institution.
CONTRIBUTIONS AND RESEARCH FOCUS:
Dr. Fisonga's research contributions are significant and cover diverse areas of geotechnical engineering. His work on mixing uniformity effects on leaching behavior, mechanical performance of crushed demolished construction waste, and earth pressure evolution within large grid wall foundations reflects his commitment to advancing the field.
IMPACT AND INFLUENCE:
Marsheal Fisonga's impact extends beyond academia, as evidenced by his involvement in projects such as the PI Sasscal 2.0 project in Zambia, focusing on the characterization of expansive soils and AI applications in geotechnical engineering. He has also played a crucial role in designing the Geotechnical Engineering Curriculum at the University of Zambia.
ACADEMIC CITES:
Dr. Fisonga has a notable publication record, with contributions to esteemed journals in geotechnical engineering. His work on burden estimation, fleet productivity optimization in surface mining, and sustainable utilization of copper tailings demonstrates the breadth and depth of his scholarly impact.
LEGACY AND FUTURE CONTRIBUTIONS:
Marsheal Fisonga's legacy is underscored by his role in developing the Geotechnical Engineering Curriculum and his commitment to automation and data acquisition in geotechnical testing. His future contributions are anticipated in ongoing projects related to the lateral displacement of large grid wall foundations and the application of AI in geotechnical engineering.
NOTABLE PUBLICATION
Mining method selection for extracting moderately deep ore body using analytical hierarchy process at mindola sub- vertical shaft. 2022 (4)