EEG Signals Modeling

Yousef Radwan

M.S. Student, Computer Science

artificial intelligence EEG Signals Modeling graph machine learning Continual Learning

Fai Alismail

M.S. Student, Bioengineering

data analysis EEG Signals Modeling Time Series Analysis applied statistics.

Fai Khalid Alismail's research interests extend to the analysis of brain signals, particularly focusing on identifying biomarkers that can distinguish children with ADHD (Attention Deficit Hyperactivity Disorder) from others. This research direction aligns with her academic background in bioinformatics and biostatistics, as well as her professional experience as a Data Scientist. Her goal is to contribute to the field of neuroscience by leveraging advanced statistical methods to analyze EEG (Electroencephalography) data. EEG data provides valuable insights into brain activity and can serve as