Mr. Loh Boris-Edmond Bohteh | Hybrid Renewable Energy | Best Researcher Award
Research scientist, University of Dschang Cameroon, Cameroon
Boris-Edmond Loh Bohteh, born on March 16, 1993, in Bamenda, Cameroon, is a dedicated physicist specializing in electronics, electrotechnics, and automation. A passionate educator and researcher, he currently contributes to academia and applied research in renewable energy and electrical systems. His expertise spans various technical fields, with a strong focus on sustainable energy solutions for local communities.
Profile
Education 🎓
Boris earned his M.Sc. in Physics from the University of Dschang in 2019, with a specialization in electronics, electrotechnics, and automation. His thesis, supervised by Professor Tchiotsop Daniel, focused on medical physics applications, specifically electrotherapy systems. Earlier, he obtained his B.Sc. in Physics from the University of Dschang in 2017 and a Secondary School Teacher Diploma (DIPES I) from the University of Bamenda in 2015.
Experience 💼
Boris has extensive teaching experience, including his current role as a secondary school instructor at Saint Joseph Calasanz Bilingual Comprehensive College in Cameroon, where he teaches General Physics. Since 2015, he has taught various physics courses across several institutions, such as Government Bilingual High School Yom 3 and Saint Albert Comprehensive College, sharing his expertise with students in both English and French-speaking contexts.
Research Interests 🔬
Boris’s research focuses on renewable energy, electrical systems, and the applications of meta-heuristic algorithms in energy solutions. His interests also extend to artificial intelligence, where he explores innovative approaches to optimizing hybrid energy systems for rural communities in Cameroon, integrating sustainable and efficient energy technologies.
Publications Top Notes📑
Loh Bohteh, B.E., & Nfah, E.M. (2024). Techno-Economic and Environmental Design of a Three-Phase Hybrid Renewable Energy System for UNVDA Ndop, Cameroon Using Meta-Heuristic and Analytical Approaches. Journal of Renewable Energy
This publication explores an optimal energy design for rural communities in Cameroon, leveraging meta-heuristic algorithms to enhance system efficiency and sustainability.