Haruna Chiroma

Papers

Total Citations

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About

Haruna Chiroma is a leading researcher at the intersection of artificial intelligence, cybersecurity, and agricultural technology. His work primarily focuses on advancing deep learning algorithms for biometric security, particularly through fingerprint authentication systems. In his highly cited 2021 systematic literature review, Chiroma demonstrated how deep learning consistently outperforms conventional machine learning in domains like computer vision and robotics, establishing a critical framework for next-generation security protocols. With 22 citations, this work has become a foundational reference for researchers developing robust authentication methods. More recently, Chiroma has turned his expertise toward addressing global food security challenges. His 2022 study on path planning for agricultural robots provides a comprehensive taxonomy of navigation strategies, tackling the urgent need for automated farming solutions as the world population approaches nine billion by 2050. By identifying key challenges and future research opportunities, Chiroma is helping shape the trajectory of precision agriculture. His interdisciplinary approach—bridging AI, cybersecurity, and robotics—positions him as a pivotal figure in creating technologies that are both secure and sustainable, with direct implications for feeding a growing global population.