After KAUST Academy
Riyadh works at the Saudi Data and Artificial Intelligence Authority as of October 2026.
Summer project
Artificial Intelligence Specialization · Cohort 2025
Exploring Novel Machine Learning Techniques for Brain-Computer Interface (BCI) Applications
A team of researchers associated with the Applied Machine Learning Laboratory will lead a team of students in developing novel machine learning techniques that will be used for improving brain computer interfaces (BCIs) using electroencephalography (EEG) data. Students will learn how to pre-process EEG data, extract EEG features, and train machine learning algorithms for character selection in a spelling interface that allows “locked in” individuals, like Stephen Hawking, to communicate with the outside world. In addition to developing machine learning
Mentor: Aniketh Shenoy Shenoy Kota, Boyla Mainsah, Leslie M Collins
With KAUST Academy
- Cohort 2025
Artificial Intelligence Specialization
Duke University · Artificial Intelligence Summer Internship
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