Biomedical Signal Processing

Ahsan Mehmood

Intern (former), Information Science Lab

IoT Biomedical Signal Processing healthcare Digital signal processing machine learning

Visiting student at King Abdullah University of Science and Technology (KAUST).

First joint publication between KAUST and MBSC seeks to improve treatment options for chronic kidney disease in Saudi Arabia

1 min read · Tue, Mar 9 2021

healthcare genomic data Biomedical Signal Processing organ transplantation kidney exchange program

Chronic kidney disease (CKD) is among the most common causes of death in Saudi Arabia. According to the 2018 edition of the Institute for Health Metrics and Evaluation’s annual Financing Global Health report, the prevalence of CKD among the Kingdom’s general population stands at 5.44% and accounts for a 4.04% mortality rate.

Christos Sapsanis

M.S., Electrical and Computer Engineering

Mixed-Mode ASIC Design Biomedical Signal Processing embedded systems sensors Applied Machine Learning

Education Profile : - Ph.D. Candidate, Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, USA. - M.Sc., Electrical Engineering (Electrophysics), King Abdullah University of Science and Technology, Thuwal, Saudi Arabia, 2015. - B.Sc., Electrical and Computer Engineering, University of Patras, Greece, 2013. Introduction: Christos Sapsanis obtained his M.Sc. Degree in the Electrical Engineering (EE) Program from King Abdullah University of Science and Technology, under the supervision of Prof. Khaled Nabil Salama. Before joining KAUST, he earned his B.Sc. in Electrical

Abdullah Ahmed Zayat

Ph.D. Student, Electrical and Computer Engineering

Wireless communication Signal processing machine learning indoor localization systems Biomedical Signal Processing

Visiting Student Research Program under the supervision of Professor Tareq Al-Naffouri ,Research Intern at King Abdullah University of Science and Technology (KAUST)