Simeon Okechukwu Ajakwe

Simeon Okechukwu Ajakwe received his Ph.D. degree in IT-Convergence Engineering with distinction, Kumoh National Institute of Technology, Gumi, South Korea, in 2023. Prior to this, he received his Master of Science (MSc) degree in Information Technology (2016) with distinction from the Federal University of Technology, Owerri, Imo State, Nigeria, Bachelor of Science (2009), and a Diploma degree (2004) in Computer Science from Imo State University, Owerri; and the Institute of Management Technology, Enugu, respectively. Simeon is a Chartered Information Technology Professional (Citp) with many years of IT-related industrial and academic experience. He is a member of IEEE, the Association of Computing Machinery (ACM), the Computer Professionals of Nigeria (CPN), and the Nigeria Computer Society (NCS). He has received several awards, such as Best PhD Thesis Award, Best Paper Award, Research Excellence Award, etc. Simeon has served as an editor and reviewer for different reputable peer-reviewed journals as well as published several articles and conference papers. His research interest cut across wireless communications, UAV networks, localization and positioning system, AI, Drones surveillance

Publications

Machine Learning in UAV-Assisted Smart Farming
Simeon Okechukwu Ajakwe, Nkechi Faustina Esomonu, Opeyemi Deji-Oloruntoba, Ihunanya Udodiri Ajakwe, Jae-Min Lee, Dong Seong Kim. © 2024. 29 pages.
Over the years, economic loss in the agricultural sector has been attributed to the late detection of varying plant diseases due to incongruent detection technologies. With the...
Multidimensional Perspective to Data Preprocessing for Model Cognition Verity: Data Preparation and Cleansing - Approaches for Model Optimal Feedback Validation
Simeon Okechukwu Ajakwe, Opeyemi Deji-Oloruntoba, Samuel O. Olatunbosun, Francis Xavier Duorinaah, Israel A. Bayode. © 2024. 43 pages.
Reliable data analysis depends on effective data preparation, especially since AI-driven business intelligence depends on unbiased and error-free data for decision-making....