Mr. Emmanuel Ebikabowei Enemugha | AI-Based Robot Perception | Best Researcher Award

University Malaya Department of Mechanical Engineering | Nigeria

Mr. Enemugha Emmanuel Ebikabowei is a dedicated mechanical engineer and researcher, currently a Ph.d. Candidate in mechanical engineering at the University of Malaya, Malaysia, with specialization in computational fluid dynamics, gas-turbine performance, pump-impeller blade design, and energy systems optimization. He also serves as a lecturer in the department of mechanical engineering at Nigeria maritime university. His publication record on researchgate lists 5 documents with 69 reads, though his citation and h-index metrics are not publicly indicated. His scholarly work includes notable contributions such as a hybrid optimization of mixed-axial flow pump impellers using taguchi method, genetic algorithms, AI-Based Robot Perception and neural networks. additionally, He has conducted experimental analyses on firewood combustion efficiency for sustainable cooking in bayelsa state, Nigeria. His research is shaping the future of efficient pump systems and clean energy solutions for both industrial and community-scale applications.

Profile: Orcid

Featured Publications

Enemugha, E. E., Ab Karim, M. S. B., & Nik Ghazali, N. N. B. (2025). Hybrid optimisation of mixed-axial flow pump impellers parameter using Taguchi, genetic algorithms, and artificial neural networks. Next Research.

Enemugha, E. E., & Munuakuro, A. E. (2025). Experimental analysis of firewood combustion efficiency and fuel consumption patterns for sustainable cooking in Bayelsa State, Nigeria. International Journal for Research in Applied Science and Engineering Technology, 13(4).

Enemugha, E. E. (2025). The effects of impeller blade count on centrifugal pump performance and efficiency under different operating conditions: A comparison of numerical prediction. International Journal for Research in Applied Science and Engineering Technology, 13(4).

Bratua, I., Burubai, W., & Enemugha, E. E. (2025). Comparative analysis of fuelwood weight loss and energy efficiency in Bayelsa State, Nigeria. World Journal of Advanced Engineering Technology and Sciences, 14(3).

Enemugha, E. E., Ab Karim, M. S., & Nik Ghazali, N. N. (2025). Comprehensive optimization of centrifugal pump performance through the integration of the Taguchi method and polynomial regression models. Global Journal of Engineering and Technology Advances, 22(2).

Dr. Emily Bagarukayo | Autonomous Robot Navigation | Best Researcher Award

Makerere University | Uganda

Dr. Emily Bagarukayo is a distinguished academic, researcher, and consultant in computing and Ict, currently serving at the school of computing and informatics technology, college of computing and information sciences, Makerere university. She holds a Ph.d in information science from Radboud university Nijmegen, Netherlands, a postgraduate diploma in educational technologies from the university of cape town, a master’s in computer science from makerere university, and a bachelor’s degree in computer science (hons) from mbarara university of science and technology. She is also a research associate at the international center of it and development, southern university, USA. Her doctoral research focused on e-learning, emphasizing the role of digital learning environments and Autonomous Robot Navigation multimedia in enhancing learning outcomes through the “learning by construction approach.” her current research interests include personalized learning, instructional content development, and ict4d, with a growing focus on the impact of social software on education. she has published 11 documents, received 14 citations from 14 documents, and holds an h-index of 2. As a passionate educator, she has mentored numerous undergraduate and postgraduate students while contributing to over 36 peer-reviewed journals, conferences, and book chapters.