Amel Dechemi

Amel Dechemi is a Research Fellow in the Department of Computer Science, Electrical Engineering and Mathematical Sciences. Their work focuses on robotics applications in precision agriculture, assistive robotics, and computer vision for healthcare. Research spans autonomous systems for crop monitoring, infant action recognition, and data fusion techniques.

Key research interests include robotic perception, agricultural automation, and lightweight neural networks for unconstrained environments. Their robotic systems address challenges like leaf retrieval, irrigation optimization, and infant motion analysis for pediatric rehabilitation.

Publishing trends highlight contributions to IEEE Robotics & Automation Magazine and specialized journals. Ongoing projects aim to bridge robotics with sustainable agriculture and medical technology.