Electroencephalograms

Omar Ahmed

M.S. Student, Bioengineering

Computer Vision machine learning Computational Neuroscience Electroencephalograms artificial intelligence

Omar Ahmed is an MS student in the Bioengineering department at KAUST. His research explores the mechanisms that enable brain signal generalisability across individuals, addressing how neural activity patterns can be reliably interpreted despite significant inter-subject and temporal variability. A major challenge in neuroscience is that brain activity varies substantially between people and even within the same person over time, which limits the development of universal diagnostic and therapeutic tools. Towards this goal, Omar is developing deep learning models that can identify consistent

KAUST-CEMSE-CS-VISION-CAIR-Dalal-Aldossary

Dalal E. Aldossary

M.S. Student, Computer Science

machine learning Electroencephalograms Computer Vision Computational Neuroscience

Hernando Ombao

Professor, Statistics

Time Series Spectral Analysis Wavelets Longitudinal Models Mixed Effects Models Functional Magnetic Resonance Imaging Electroencephalograms

KAUST Professor of Statistics Hernando Ombao is an expert in time series models and their applications to designed medical experiments on complex biological processes.

Portrait picture, smiling, blue Abaya, blue-brown gradient Hijab, and brown background with metal beems

Farah Abdulrazak Gomawi

Ph.D. Student, Statistics

Time Series Neuroimaging Electroencephalograms Functional Near-Infrared Spectroscopy Spectral Analysis Biostatistics

Farah Abdulrazak Gomawi is a Ph. D. student in Statistics at the King Abdullah University of Science and Technology (KAUST) under the supervision of Prof. Hernando Ombao. Education and Early Career Farah Abdulrazak Gomawi received her Bachelor of Science in Applied Mathematics from the University of California, Los Angeles (UCLA) in the United States, with the KAUST Gifted Student Program (KGSP) scholarship in 2023. Prior to this, she was a visiting student in the Biostatistics group in the summer of 2022. Research Interest Farah's research interests include time series analysis, machine