Ibn Sina Neurotech Summer School
Decoding Your Mind with BCI Technology
This Summer School is designed to empower Arabic-speaking students and scientists with the knowledge and skills necessary to explore the brain's electrical activity through cutting-edge neurotechnology. This program offers a comprehensive introduction to Brain-Computer Interfaces (BCIs) and electroencephalogram (EEG) data collection and analysis including an in-school project, with Arabic as the main spoken language. It will also serve as a hub to network students and faculty interested in neuroscience.
This summer school will be held in person at The American University in Cairo (AUC), Egypt, from September 8 to 12, 2024.
All participants are required to commit to the school for its duration.
School Composition
Education
Lectures and workshops by faculty members on the different techniques of data collection and analysis as well as the applications in neurotechnology and neuroscience.
Hands-on Component
Students will conduct hands-on tutorials on EEG data collection and analysis covering all the stages of project ideation, experimental design, data collection and analysis, and making conclusions.
Project
Students will get the opportunity to apply what they learned in a short project which could utilize data collected onsite or already provided datasets. They will be working on their projects in the afternoon and will present them on the last day.
Networking and Socials
The social cohesion component will be focused on where the students will be having lunches together with the faculty and teaching assistants, which will give them the opportunity to socialize informally with the faculty members.
Lectures Series
Day 1: Introduction to Neurotechnology and Brain-Computer Interfaces (BCIs)
Overview of neurotechnology and brain-computer interfaces (BCIs), including history, key concepts, major applications, neural data principles, and current and emerging uses. Speakers will also discuss their research contributions.
Day 2: Principles of Electrophysiology and EEG-Based BCIs
Exploration of EEG-based brain-computer interfaces (BCIs), focusing on experimental protocols and data acquisition. Learn about EEG technology fundamentals, setting up experiments, best practices, and expert insights from EEG BCI research.
Day 3: EEG Signal Processing Techniques and Feature Extraction
Techniques for processing EEG signals and extracting features, including preprocessing, feature extraction methods, and their application in BCI systems. Examples from research work will be provided.
Day 4: Machine Learning for EEG in BCIs and Healthcare
Application of machine learning to EEG data for brain-computer interfaces (BCIs) and healthcare. Topics include machine learning basics, EEG classification algorithms, real-world applications, and case studies from research.
Day 5: Future Directions in Neurotechnology: Advancements and Ethical Considerations
Discussion on future advancements in neurotechnology and brain-computer interfaces (BCIs), including potential applications, innovations, and ethical considerations in research and application.
Tentative Program
| Day | Time | Lecture/Tutorial | Speaker |
|---|---|---|---|
| 8/9 | 9:00 - 9:30 | Students registration | |
| 9:30 - 10:00 | Opening ceremony and School overview | ||
| 10:00 - 12:00 | Session 1: Introduction to Neurotechnology and Brain Computer Interfaces (BCIs) | Dr. Seif Eldawlatly | |
| 12:00 - 1:00 | Lunch Break | ||
| 1:00 - 2:30 | Tutorial 1: EEG Data Collection and Experimental Design | Dr. Mohamed Zaky | |
| 2:30 - 3:00 | Coffee Break | ||
| 3:00 - 5:00 | Workshop 1: Hands-on EEG Data Recording (SSVEP task) - Main | Dr. Mohamed Zaky, Eng. Mai Gamal | |
| 9/9 | 10:00 - 12:00 | Session 2: Principles of Electrophysiology and EEG-Based BCIs | Dr. Mahmoud Hassan |
| 12:00 - 1:00 | Lunch Break | ||
| 1:00 - 2:30 | Tutorial 2: Introduction to EEG signal pre-processing | Dr. Mohamed Zaky | |
| 2:30 - 3:00 | Coffee Break | ||
| 3:00 - 5:00 | Workshop 2: Hands-on EEG Data Recording (SSVEP task) | Dr. Mohamed Zaky, Eng. Mai Gamal | |
| 10/9 | 10:00 - 12:00 | Session 3: EEG Signal Processing Techniques and Feature Extraction | Dr. Abdelkader Nasreddine |
| 12:00 - 1:00 | Lunch Break | ||
| 1:00 - 2:30 | Tutorial 3: EEG Temporal and Spectral Analysis | Dr. Mohamed Zaky | |
| 2:30 - 3:00 | Coffee Break | ||
| 3:00 - 5:00 | Workshop 3: Hands-on EEG Data Recording (SSVEP task) | Dr. Mohamed Zaky, Eng. Mai Gamal | |
| 11/9 | 10:00 - 12:00 | Session 4: Machine learning in BCIs and Healthcare | Dr. Mohamed Abdelhack |
| 12:00 - 1:00 | Lunch Break | ||
| 1:00 - 2:30 | Tutorial 4: Post-processing Analysis (Pre-recorded dataset) | Dr. Nour El-Madany | |
| 2:30 - 3:00 | Coffee Break | ||
| 3:00 - 5:00 | Workshop 4: Post-processing Analysis (Our recorded dataset) | Dr. Nour El-Madany, Eng. Mai Gamal | |
| 12/9 | 10:00 - 12:00 | Session 5: Future Directions in Neurotechnology: Research Advancements and Ethical Considerations | Dr. Slobodan Tanackovic |
| 12:00 - 1:00 | Lunch Break | ||
| 1:00 - 3:00 | Project Lab (Do it yourself) | Students | |
| 3:00 - 3:30 | Coffee Break | ||
| 3:30 - 5:30 | Presentations Competition and Closing Ceremony | OC & Students |
Sponsors and Partners
