image processing

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

Tarig Ballal Khidir Ahmed

Research Scientist Laboratory for Nanomedicine, Computational Bioscience Research Center King Abdullah University of Science and Technology | KAUST

Sara Rojas Martinez

Sara Rojas Martinez is a Ph.D. student in the KAUST Image and Video Understanding Lab (IVUL) under the supervision of Professor Bernard Ghanem. Before joining KAUST, Sara obtained a master’s degree in Biomedical Engineering from Universidad de Los Andes, Bogotá, Colombia. Research Interests Sara is interested in topics related to the investigation in Artificial Intelligence and Computer Vision. . Education Profile • M.S., Biomedical Engineering, University of Los Andes, Colombia, 2018 • B.E., Artificial Intelligence in Electronics Engineering, University of Los Andes, Colombia, 2017

Peihao Li

Peihao Li is a Ph.D student in Electrical Engineering department within CEMSE division. He got a B.S in Observation, Navigation and Control from Northwestern Polytechnical University, China. He received master degree in the Ms/PhD program in Electrical Engineering at King Abdullah University of Science and Technology (KAUST) in winter 2017. His research interests include UAV navigating, image processing and robust control. Currently, he is working on developing algorithms and applications in signal processing and is especially interested in semi-classical signal analysis (SCSA). Research

Heba Almorad

Visiting student in the Communication Theory Lab (CTL) and the Information System Lab (ISL), at King Abdullah University of Science and Technology,

Alejandro Pardo

Alejandro Pardo is a Ph.D. candidate in the Electrical and Computer Engineering (ECE) program under the supervision of Professor Bernard Ghanem at the Visual Computing Center (VCC) at King Abdullah University of Science and Technology (KAUST) in Saudi Arabia. Education and Early Career Alejandro has an Engineer’s degree in Artificial Intelligence in both Electronics and Biomedical Engineering from the University of Los Andes in Colombia in 2017. He continued his studies at the University of Los Andes and received his Master’s Degree in Biomedical Engineering in 2018. He visited KAUST as a

Abderrazak Chahid

Abderrazak Chahid is a PhD candidate in Electrical and Computer Engineering department within CEMSE division. He obtained his Bachelor of Science degree in Electrical Engineering and Power Electronics from Sultan Moulay Slimane University in Morocco. He then got a Master degree in Electrical Engineering from the National School of Applied Sciences in Morocco before obtaining a second Master of Science degree in Embedded Systems from Lorraine University in France. Abderrazak is currently working on developing biomedical signal/image processing: MRS water suppression, MRI image denoising. He is