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Qamar Un Nisa is a PhD researcher at the Department of Computer Science and Engineering (DISI), University of Bologna, under the supervision of
Prof. Maurizio Gabbrielli. Her research focuses on developing intelligent and explainable systems for
predictive maintenance,
fault detection, and
real-time monitoring in industrial settings. She collaborates with
SACMI to design AI solutions that integrate
human-in-the-loop feedback for reliable decision-making. Her work involves building modular frameworks for analyzing complex sensor data, contributing to the goals of
Industry 4.0. She holds a
Master’s degree in Information Technology (Pakistan, 2014) and has professional experience in the public sector and teaching, aiming to bridge academic research and industrial innovation through applied AI.
Go to the Curriculum vitae