Maha Shatta received her Bachelor of Science in Electronics and Communication Engineering with a Minor in Computer Science from The American University in Cairo (AUC) in Spring 2022. Her undergraduate thesis focused on non-invasive glucose monitoring using near-infrared spectroscopy, integrating hardware design and machine learning for healthcare sensing.
In 2023, she began a fast-track PhD at the Chair of Dependable Nano Computing (CDNC), led by Prof. Mehdi Tahoori at Karlsruhe Institute of Technology (KIT), Germany. Her research focuses on developing analog hardware accelerators for neuromorphic computing and machine learning classifiers, with a strong emphasis on low-power, low-area designs for wearable and healthcare applications. She works with both CMOS technology and emerging printed electronics to explore scalable, energy-efficient hardware solutions.