Ayah Abu Hani

Ayah Abu Hani is a Tutor in the Department of Environmental Sensors and Modeling at the Technical University of Munich. Her research focuses on the calibration of low-cost air quality sensors using machine learning techniques and the analysis of air pollutants in Munich and globally.

• University: Technical University of Munich
• Department: Environmental Sensors and Modeling
• Academic Rank: Tutor
• Email: ayah.abu-hani@tum.de
• Office: Room N1506B

Her research bridges machine learning, environmental monitoring, and sensor technology. Recent work includes CO2 prediction from satellite data, urban air quality modeling, and global calibration of low-cost sensors. She also contributes to biomedical sensing, particularly needle detection in ultrasound imaging.

Publication trends show expertise in air quality modeling, sensor calibration, and nanomaterial-based gas detection. Her projects span machine learning applications, atmospheric modeling, and hybrid nanocomposite development for environmental and medical sensing.

Teaching: Tutor for the Advanced Seminar in Environmental Sensing, guiding students in sensor technology and environmental data analysis.