Prof. Ebenezer Esenogho | Artificial Intelligence | Best Researcher Award

Published on by Superior Awards

Prof. Ebenezer Esenogho | Artificial Intelligence | Best Researcher Award

Prof. Ebenezer Esenogho | University of South Africa | South Africa

Prof. Ebenezer Esenogho (NRF C2-rated) is a distinguished academic and research leader recognized for his extensive contributions to Artificial Intelligence, telecommunications engineering, and digital innovation. With a strong background in computer, electronics, and communication engineering, he has built an influential career marked by advanced research, academic leadership, and international collaboration. He has produced impactful work across areas such as AI-driven wireless systems, 5G networks, cognitive radio, cybersecurity, IoT, smart grid technologies, software-defined systems, big data, and cloud computing. His scholarly influence is reflected in 920 citations from 762 documents, 40 published documents, and an h-index of 12. Prof. Esenogho has secured numerous competitive grants, awards, and research fellowships in recognition of his excellence, and he has contributed to global research advancement through participation in strategic committees, collaborative initiatives, and high-level innovation programs. He has supervised a wide portfolio of postgraduate researchers, contributed to editorial boards, reviewed international grant proposals, and chaired sessions at reputable conferences. Beyond research, he is committed to academic mentorship, capacity building, and advancing technology-driven development through community-focused initiatives. Prof. Ebenezer continues to play a leading role in shaping the future of intelligent systems, next-generation networks, and multidisciplinary innovation across regional and global research landscapes.

Profiles: Scopus | Orcid | Google Scholar

Featured Publications

  • Esenogho, E., Mienye, I. D., Swart, T. G., Aruleba, K., & Obaido, G. (2022). A neural network ensemble with feature engineering for improved credit card fraud detection. IEEE Access, 10, 16400–16407.

  • Esenogho, E., Djouani, K., & Kurien, A. M. (2022). Integrating artificial intelligence, Internet of Things, and 5G for next-generation smart grid: A survey of trends, challenges, and prospects. IEEE Access, 10, 4794–4831.

  • Sarah, I. D. M., Ebiaredoh-Mienye, A., Esenogho, E., & Swart, T. G. (2022). A machine learning method with filter-based feature selection for improved prediction of chronic kidney disease. Bioengineering, 9(8).

  • Nguyen, N., Duong, T., Chau, T., Nguyen, V. H., Trinh, T., Tran, D., Ho, T., … Esenogho, E. (2022). A proposed model for card fraud detection based on CatBoost and deep neural network. IEEE Access, 10, 96852–96861.

  • Arnaz, A., Lipman, J., Abolhasan, M., Hiltunen, M., … Esenogho, E. (2022). Toward integrating intelligence and programmability in open radio access networks: A comprehensive survey. IEEE Access, 10, 67747–67770.

  • Obaido, G., Ogbuokiri, B., Swart, T. G., Ayawei, N., Kasongo, S. M., Aruleba, K., … Esenogho, E. (2022). An interpretable machine learning approach for hepatitis B diagnosis. Applied Sciences, 12(21), 11127.

 

Mr. Eze Jude Uche | Artificial Intelligence | Best Researcher Award

Published on by Superior Awards

Mr. Eze Jude Uche | Artificial Intelligence | Best Researcher Award

Mr. Eze Jude Uche | The Ohio State University College of Pharmacy | United States

Mr. Eze Jude Uche is a dedicated and accomplished researcher in pharmacoepidemiology, patient-reported outcomes, cancer therapy, infection prevention, and predictive modeling. He is currently pursuing a PhD in Health Services & Outcomes Research at The Ohio State University College of Pharmacy, where he is recognized as a Dean’s Distinguished Fellow and receives advanced training in pharmacoepidemiology, biostatistics, survival analysis, causal inference, and bioinformatics. He holds a Bachelor of Pharmacy (BPharm) from the University of Nigeria, Nsukka, with a distinction in Pharmacy Administration and Management; his thesis focused on assessing malaria treatment patterns and costs in community pharmacies and patent medicine shops in Nsukka and Enugu. He has 2 published documents to his credit. Mr. Uche has extensive research experience, including a tenure as a Graduate Research Assistant and Intern Pharmacist at the National Institute for Pharmaceutical Research and Development in Abuja, where he conducted comprehensive literature reviews, analyzed and interpreted experimental results, and authored detailed research reports. His hands-on experience spans microbial preparation, standardization of bacteria and Candida species, extraction of plant materials, chromatographic separation for pharmacologic screening, in-vitro drug testing using animal models, and qualitative and quantitative pharmaceutical analysis, reflecting a strong commitment to advancing pharmaceutical and healthcare research.

Profile: Scopus

Featured Publication

Uche, E. J.,(2025). Optimizing unsupervised feature engineering and classification pipelines for differentiated thyroid cancer recurrence prediction. BMC Medical Informatics and Decision Making. Advance online publication.