Azza Elsayed Ibrahim

Papers

Total Citations

H-Index

About

Dr. Azza Elsayed Ibrahim is a leading researcher in intelligent automation and sustainable engineering, with a primary focus on integrating computer vision and robotics for environmental solutions. Her most impactful work, "Object Detection-based Automatic Waste Segregation using Robotic Arm" (2023, 18 citations), addresses a critical challenge in developing nations: the inefficiency of waste management systems. By combining deep learning object detection with a robotic manipulator, Dr. Ibrahim’s research demonstrates a scalable, smart approach to automating waste segregation—directly contributing to the creation of more sustainable and habitable communities. This work exemplifies her broader contributions to applied artificial intelligence, where she bridges the gap between theoretical computer vision models and real-world robotic control. Her achievements highlight a commitment to solving pressing societal issues through technology, making her research highly relevant for students and engineers interested in the intersection of AI, robotics, and environmental sustainability.