Mehabaw Fikrie Yehuala |  Computaional Physics | Best Researcher Award

Mr. Mehabaw Fikrie Yehuala |  Computaional Physics | Best Researcher Award

Chief Academic Technical Assistant | University of Gondar | Ethiopia

Mr. Mehabaw Fikrie Yehuala is an emerging researcher and academic professional specializing in Computational Physics, with an active role as Chief Academic Technical Assistant at the University of Gondar. His career reflects a deep commitment to advancing Computational Physics through theoretical modeling, simulation techniques, and practical implementation in modern physical systems. His research expertise centers on Computational Physics applications in material dynamics, phase separation, and simulation-based investigations, particularly focusing on systems involving complex mixtures and energy interactions. Through his scholarly journey, Mr. Mehabaw has demonstrated a rigorous approach to Computational Physics, integrating programming proficiency in Python, Fortran, and LaTeX with analytical frameworks to model and interpret physical phenomena. His publication in Separation Science and Technology stands as a key contribution to the scientific community, highlighting the relevance of Computational Physics in studying the phase separation of oil–water mixtures using Monte Carlo simulation methods. His collaborative research embodies an interdisciplinary essence, bridging experimental insights with the predictive strength of Computational Physics. Mr. Mehabaw’s professional engagement extends beyond research into educational innovation, where he has contributed significantly to the development of physics laboratory manuals and academic resource materials, further strengthening the pedagogical aspects of Computational Physics education. His recognition for academic excellence and active participation in institutional development underscores his leadership and dedication to the advancement of scientific knowledge. As an analytical thinker and a collaborative scientist, Mr. Mehabaw continues to explore new dimensions in Computational Physics, contributing to both academic and societal progress. His vision emphasizes fostering research-driven learning environments and leveraging Computational Physics methodologies to address real-world scientific and industrial challenges, marking him as a promising contributor to the global physics and research community.

Profile: ORCID

Featured Publication

1. Fikrie, M., Birhanu, T., Bassie, Y., Abebe, Y., & Temare, Y. (2025). Investigation of phase separation of mixture of oil and water in Monte Carlo simulation. Separation Science and Technology.