biomedicine

Biomedical Signal Processing using the Squared Eigenfunctions of the Schrödinger Operator and Machine Learning

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B1 B4 B4214

Abstract The health of a human body is monitored through several physiological measurements such as the heart rate, the blood pressure, the oxygen saturation levels, brain activity, etc. These measurements are taken at predefined points in the body and recorded as temporal signals or colorful images. During the diagnosis phase, physicians analyze these records visually (sometimes it is not visual with the progress in medicine, better to say: sometimes visually) to take treatment decisions. These records are usually contaminated with noise. The origin of this noise may be diverse. For instance

Targeting cancer cells with tiny magnetic wires

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Magnetic nanowires with weak magnetic fields and low frequencies can destroy cancer cells without generating heat.

CEMSE Master Student Mayyada Hawsawi brings KAUST research to Falling Walls 2017

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Mayyada Hawsawi, master student in the Sensing, Magnetism, and Microsystems Research Group, directed by Professor Jurgen Kosel, brought a piece of KAUST's research to the Falling Walls Global Lab Finale on November 8th 2017, in Berlin, Germany.

Mayyada Hawsawi

​Mayyada Hawsawi obtained a Master's degree in Sensing, Magnetism and Microsystems (SMM) research group under the supervision of Prof. Jurgen Kosel at KAUST. Education and Early Career Mayyada has a Bachelor’s Degree in Biomedical Engineering from Boston University in 2016. She received her Master's Degree in Electrical Engineering from King Abdullah University of Science and Technology (KAUST) in 2017. Research Interest Mayyada's research interests include Magnetic sensors, Sensor fabrication, and Biomedicine. Education Profile M.Sc. Electrical Engineering, King Abdullah University of Science