AI Applications in EEG Workshop 2025 | IIT Madras | Hands-On Training

Workshop on

AI Applications in EEG

by
Computational Neuroscience Lab, IIT Madras | Neurogati Private Limited, IITM Research Park, Chennai

Dates

31 Oct to 02 Nov, 2025

Timing for all Days

9:00 AM to 5:30 PM

Venue

TLC, Central Library, IIT Madras

Eligibility

UG & PG Students, PhD Scholars, Professionals

Requirements

Basic familiarity with Python, Laptop required

Unlock the true potential of EEG with Artificial Intelligence!

About the Workshop

In this workshop, participants will explore how EEG signals are collected, processed, and analyzed using tools like MNE-Python. Working with EEG datasets, they will learn to build AI models for applications such as motor and visual imagery classification, seizure detection, and neurodegeneration analysis. The sessions include guided hands-on activities and expert talks offering a practical foundation in EEG-AI integration.

Submit SOP for Selection

Download Brochure

How To Apply

Stage 1: Submission

Submit a Statement of Purpose (SOP) explaining your interest in the workshop.
Applications are open to all eligible candidates.
Only the best 50 SOPs will be selected.

How To Apply

Stage 2: Confirmation & Payment

Selected applicants will receive a confirmation email and payment link.
Only confirmed participants need to pay the registration fee.

Important Dates

SOP Submission: by 21 September 2025
Selection Results: by 30 September 2025
Registration Fee Payment: by 7 October 2025

What You Will Receive

Certificate of Participation
Participant Handbook: "Workshop on AI Applications in EEG"
Exclusive goodies

Fee Structure

UG Students: 4,000
PG/PhD Students: 4,500
Professionals: 5,000

Includes: Lunch, tea/snacks each day
Excludes: Accommodation

Accommodation

Double-sharing rooms: ₹840 per person per night. Available for both female and male participants

What You Will Learn

1

Foundations of EEG data collection and preprocessing

Observe live demonstrations of EEG setup and signal acquisition
Learn how to preprocess raw neural signals using filtering, artifact removal, and segmentation techniques.

2

Machine learning & deep learning for EEG decoding

Explore how brain signals are decoded into meaningful outputs using ML/DL for tasks such as Motor & Visual Imagery decoding, Epileptic seizure detection, and analysis of neurodegenerative conditions such as AD and PD.

3

Lab sessions & practical demonstrations

Gain practical experience in signal processing, Frequency analysis and ICA using MNE-Python.

4

Seizure detection, motor/visual imagery classification, and disorder analysis

Gain insights from leading researchers and
industry professionals. Learn about cutting-edge EEG technologies, real-world applications, and current trends in BCI research from experienced faculty and neurotechnology experts.

Key Features

Live demonstrations & hands-on sessions

Interaction with leading neurotechnology experts

Real-world datasets (e.g., BONN EEG dataset)

End-to-end ML/DL pipeline using MNE-Python

Workshop Schedule

09:00 – 11:00 | Neurodegenerative Disorder Detection (Parkinson's vs Healthy); Extract Relevant EEG markers, Build and Evaluate ML Classifier
11:00 – 13:00 | Neurodegenerative Disorder Detection (Alzheimer's vs Healthy); Extract Relevant EEG markers, Build and Evaluate ML Classifier
Lunch 1:00 - 2:00
14:00 – 17:15 | Talks by Faculty & Neurotechnology Experts
- Dr. Supratim Ray, Prof., IISC Bangalore
- Dr. Dipanjan Roy, Assoc. Prof., IIT Jodhpur
17:15 – 17:30 | Closing Remarks & Certificates