Adamu Muhammad Buhari

Adamu Muhammad Buhari is a Lecturer at the School of Information Technology, Monash University. His expertise spans Computer Vision, Artificial Intelligence, Real-Time Machine Learning, and IoT integration in smart systems. He holds a PhD in Engineering (Computer Vision) from Multimedia University, alongside advanced degrees in Engineering and Telecommunication.

Research interests include micro-expression recognition using graph-based features, real-time emotion analysis algorithms, and scalable video coding with watermarking. His work bridges theoretical advancements with practical applications in embedded systems and energy-efficient IoT networks. Recent collaborations focus on smart building HVAC automation and solar-powered sensor networks for smart homes.

He has been awarded the School Research Grant 2022 for contributions to clinical pharmacy education research. His publications span journals like Journal of Imaging and Multimedia Tools and Applications, with a focus on real-time systems and machine learning applications.

Research output highlights include:

• Invisible emotion magnification algorithms for micro-expression detection
• IoT-based HVAC systems using machine learning
• Scalable video coding with low-complexity watermarking

His work emphasizes real-world impact through embedded systems and energy harvesting solutions.