Эбикабовей Эммануэль Энемуга

Engr. Enemugha Emmanuel Ebikabowei is a researcher and Ph.D. scholar in the Department of Mechanical Engineering, University of Malaya, Malaysia. My expertise spans computational fluid dynamics (CFD), turbomachinery optimization, and machine-learning-assisted design. My research integrates Taguchi design of experiments, Bayesian-optimized artificial neural networks (ANN), and multi-objective metaheuristic algorithms to improve the hydraulic efficiency, head, and cavitation performance of centrifugal and mixed-axial pumps operating under multiphase flow conditions. My broader goal is to develop intelligent, energy-efficient systems that support industrial sustainability in the Niger Delta and similar environments. I am a member of professional bodies and actively disseminate my research through international journals and conferences, with ongoing collaborations in energy, environmental, and design innovation.