Muhammad Mokhzaini Azizan
Papers
2
Total Citations
48
H-Index
2
About
Dr. Muhammad Mokhzaini Azizan is a researcher at the forefront of applying artificial intelligence and robotics to pressing environmental and public health challenges. His primary research areas span computer vision, deep learning, and autonomous systems, with a particular focus on environmental monitoring and intelligent automation. Dr. Azizan’s most impactful contribution is his work on riverine waste management, where he developed an automated solid waste detection system using an optimized YOLO (You Only Look Once) model. This innovative approach, detailed in his most-cited paper (42 citations), addresses the critical issue of urban river pollution by enabling real-time, accurate identification of floating debris, thereby supporting more effective cleanup and management strategies. Beyond environmental applications, Dr. Azizan has explored the use of assistive robotics for public health, proposing a system that employs UAVs and UGVs to enforce COVID-19 isolation protocols in crowded indoor spaces like shopping malls. This work demonstrates his ability to pivot advanced AI techniques toward urgent societal needs. Through these contributions, Dr. Azizan is establishing himself as a key figure in the development of practical, AI-driven solutions for a cleaner and safer world.
Research Focus
Key Achievements
Top Papers
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