University of Port Harcourt | Nigeria
Dr. Daniel Osezua Aikhuele is a distinguished scholar in Material Failure Analysis whose extensive body of work has significantly advanced the understanding of reliability, safety, and intelligent decision-making in complex engineering systems. With an impressive research footprint reflected in 530 citations generated by 434 documents, 71 published documents, and a robust h-index of 14, he is recognized for consistently producing high-impact contributions that bridge theoretical innovation with practical engineering solutions. As an Associate Professor at the University of Port Harcourt, he has built a reputation for excellence in manufacturing engineering, intelligent reliability modeling, fault diagnosis, product design, and sustainable materials, using advanced fuzzy logic, multi-criteria decision-making approaches, and data-driven techniques that address reliability challenges in modern industrial environments. His scholarly output spans journals, book chapters, and international conferences, demonstrating his leadership in developing hybrid fuzzy systems, reliability-centered models, renewable-energy decision frameworks, and intelligent predictive tools for mechanical components, offshore systems, and wind-energy technologies. Beyond research, Dr. Aikhuele plays an active role in the global engineering community as a reviewer for major journals and a member of several professional bodies, contributing to quality assurance and scientific advancement across multiple disciplines. He has supervised numerous postgraduate researchers and collaborated widely on interdisciplinary projects that enhance industrial safety, optimize energy systems, and support sustainable engineering practices. His commitment to academic excellence, combined with impactful teaching and mentorship, has earned him recognition as a dynamic leader whose contributions continue to influence material behavior assessment, reliability optimization, and the design of resilient engineering systems.
Featured Publications
Azubuike, G. D., Aikhuele, D. O., & Nwosu, H. U. (2025). Development of an optimization model for reducing energy utilization and to increase biomass yield in a brewery process. Process Integration and Optimization for Sustainability.
Diemuodeke, O. E., Vera, D., Ojapah, M. M., Nwachukwu, C. O., Nwosu, H. U., Aikhuele, D. O., Ofodu, J. C., & Nuhu, B. S. (2024). Hybrid solar PV–agro-waste-driven combined heat and power energy system as feasible energy source for schools in Sub-Saharan Africa. Biomass, 4(4), 67.
Aikhuele, D. O., & Diemuodeke, O. E. (2024). Computational analysis of stiffness reduction effects on the dynamic behaviour of floating offshore wind turbine blades. Journal of Marine Science and Engineering, 12(10), 1846.
Aikhuele, D. O., & Sorooshian, S. (2024). A proactive decision-making model for evaluating the reliability of infrastructure assets of a railway system. Information, 15(4), 219.
Onukwube, C. U., Aikhuele, D. O., & Sorooshian, S. (2024). Development of a fault detection and localization model for a water distribution network. Applied Sciences, 14(4), 1620.