Okechukwu Paul-Chima Ugwu
Papers
2
Total Citations
13
H-Index
2
About
Okechukwu Paul-Chima Ugwu is a forward-thinking researcher at the intersection of artificial intelligence, biotechnology, and global sustainability. His primary research areas include AI-driven agricultural optimization, biosecurity threat mitigation, and the application of machine learning in resource management. Ugwu’s most influential work, "Implementing artificial intelligence and machine learning algorithms for optimized crop management," has already garnered 11 citations since its 2025 publication. This systematic review synthesizes 95 studies to demonstrate how data-driven approaches can revolutionize crop monitoring and yield prediction, directly contributing to enhanced agricultural sustainability. In a second highly cited paper, Ugwu explores the convergence of AI, CRISPR, and synthetic biology to counter biosecurity threats, drawing critical lessons from historical pandemics and bioterrorism events. His work is notable for its timely, interdisciplinary approach, addressing pressing global challenges from food security to pandemic preparedness. With a growing citation record and a clear focus on actionable, technology-driven solutions, Ugwu is establishing himself as a vital voice in the application of advanced computational methods to real-world environmental and health crises.
Research Focus
Key Achievements
Top Papers
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