Biomedical Signal Processing

Montserrat Ramirez de Angel receiving the Best Pitch Award at IEEE 2024 Sensors Conference

A voice to the voiceless: Montserrat Ramirez De Angel takes “Best Pitch” award at IEEE 2024 Sensors Conference

3 min read · Tue, Nov 19 2024

Biosensors IEEE Awards wearable sensors Biomedical Engineering Biomedical Signal Processing nanoelectronics IoT in Healthcare IoT

Montserrat Ramirez de Angel wins the Best Pitch Award at IEEE 2024 Sensors Conference for her innovative work in biosensors and sensor technology.

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).

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)