Student Sawsan Mohammed Mahmoud defended her Master’s thesis today, Wednesday, 9 September 2026, at the College of Electronics Engineering, University of Ninevah. The thesis was entitled:
“Intelligent Waste Classification Using Deep Learning for Smart Recycling Systems”
The thesis explored the application of artificial intelligence and convolutional neural network (CNN) techniques to classify solid waste into six main categories. It also compared several deep learning models and developed a prototype of a smart waste bin powered by the Raspberry Pi 4 platform.
The examination committee was chaired by Assistant Professor Dr. Mohammed Hazim Younis, with Assistant Professor Dr. Ammar Idris Dawood and Lecturer Dr. Ahmed Qasim Ahmed serving as members. Assistant Professor Dr. Mohammed Abdul-Mutallab Mohammed also served as a committee member and supervisor.
At the conclusion of the defense, the committee commended the scientific effort invested in the thesis and highlighted the significance of its applications in supporting environmental sustainability and developing smart solutions for waste management and recycling.
