Papers
3
Total Citations
38
H-Index
3
About
Lukman Adewale Ajao is a researcher at the forefront of secure and intelligent systems for smart cities and healthcare. His work primarily focuses on the intersection of cybersecurity, edge computing, and artificial intelligence, with a particular emphasis on the Internet of Things (IoT) and the Industrial Internet of Things (IIoT). Ajao’s most significant contribution lies in addressing critical security vulnerabilities in smart city infrastructures. His highly cited 2023 paper, "Secure edge computing vulnerabilities in smart cities sustainability using petri net and genetic algorithm-based reinforcement learning" (23 citations), introduces a novel hybrid approach that combines Petri nets with genetic algorithm-driven reinforcement learning to fortify edge devices against cyber threats. This work, alongside its 2022 precursor (12 citations), provides a foundational framework for resilient, sustainable urban networks. More recently, Ajao has extended his expertise into biomedical AI, as demonstrated by his 2024 paper on an "AI-Integrated Probabilistic Neuro-Fuzzy TemporalFusionNet" for detecting chronic kidney disease. This work showcases his ability to apply advanced neuro-fuzzy and temporal modeling to improve diagnostic accuracy under data uncertainty. With a growing citation record, Ajao is establishing himself as a key innovator in building secure, intelligent, and sustainable cyber-physical systems.
Research Focus
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Top Papers
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