3-Day Offline Workshop

AI Applications in EEG

Workshop on Brain Signal Processing & Machine Learning

August 7–9, 2026
Offline Workshop
Certificate of Participation
SOP Submission Deadline: July 15, 2026
Limited to 50 Participants (Selection-based)

Workshop Overview

The human brain continuously generates electrical activity as we think, feel, move, or imagine. By capturing these signals using Electroencephalography (EEG), we open a gateway to interpreting brain states and building systems that interact directly with neural activity. When combined with Artificial Intelligence (AI), EEG enables powerful applications in brain-computer interfaces, neurological diagnosis, cognitive monitoring, and beyond.

EEG Data Collection

Live demonstrations of EEG setup, signal acquisition, and resting state recordings

Signal Processing

Learn preprocessing with MNE-Python: filtering, artifact removal, and segmentation

Machine Learning

Build AI models for motor imagery, seizure detection, and neurodegeneration analysis

Visual & Motor Imagery

Explore how imagined movements and visual scenes are reflected in EEG patterns

Clinical Applications

Seizure detection, Parkinson's and Alzheimer's classification using EEG markers

Expert Faculty

Learn from leading researchers and neurotechnology experts in the field

Workshop Highlights

Hands-on Learning

  • • Live EEG setup and signal acquisition demonstrations
  • • MNE-Python tutorials for signal processing
  • • End-to-end classification pipeline walkthroughs
  • • Real EEG datasets for practical exercises

Advanced Applications

  • • Motor & Visual Imagery classification
  • • Epileptic seizure detection algorithms
  • • Neurodegenerative disorder analysis
  • • Feature extraction: PSD, PLI techniques

Expert Guidance

  • • Inaugural talk by Prof. Srinivasa Chakravarthy
  • • Sessions by faculty and neurotechnology experts
  • • Industry insights and current BCI research trends
  • • Real-world application case studies

Certification & Resources

  • • Certificate of Participation
  • • Participant e-Handbook on AI Applications in EEG
  • • Complete workshop materials and datasets
  • • Networking opportunities with peers

3-Day Workshop Schedule

Day 1: Foundations & EEG + AI Basics (Aug 7)

9:00-10:00
Inaugural Talk by Prof. Srinivasa Chakravarthy
10:00-11:00
Introduction to EEG and System Setup
Overview, 10-20 montage, cap fitting, impedance check
11:00-12:00
EEG Data Collection
Resting state recording: eyes open/closed
12:00-13:00
EEG Pre-processing
Signal cleaning, artifact removal using MNE-Python
14:00-17:15
Introduction to ML and DL for EEG
Feature extraction (PSD, PLI), Models (SVM, CNN, LSTM), Jupyter pipeline demo

Day 2: Imagery & Clinical EEG Studies (Aug 8)

9:00-11:00
Motor Imagery Theory and Lab
L/R hand imagination tasks, offline classification
11:00-13:00
Visual Imagery Theory and Lab
EEG patterns of imagined objects/scenes
14:00-15:30
Epilepsy and Seizure Detection
BONN EEG Dataset, spike detection, seizure annotation
15:30-17:15
Lab: Seizure Classification
Random Forest vs CNN architectures

Day 3: Neurodegenerative Disorders (Aug 9)

9:00-11:00
Parkinson's Disease Detection
EEG markers extraction, ML classifier evaluation
11:00-13:00
Alzheimer's Disease Detection
EEG markers extraction, ML classifier evaluation
14:00-17:15
Faculty & Neurotechnology Expert Talks
Industry insights and research trends
17:15-17:30
Closing Ceremony
Certificate distribution

Registration Details

Fee Structure (GST not included)

₹3,000
UG Students
₹3,500
PG/PhD Students
₹4,000
Professionals

Registration Process

1

Submit Statement of Purpose (SOP)

Submit your SOP detailing interest in the workshop by July 15, 2026

2

Selection Results

Only 50 participants will be selected. Results by July 18, 2026

3

Payment

Selected participants pay registration fee by July 30, 2026

Eligibility & Requirements

  • Open to undergraduate and postgraduate students, researchers, and professionals
  • Basic familiarity with Python is helpful
  • Participants should bring their own laptop
  • Accommodation is not provided
  • Snacks will be provided twice a day
Selection-based Admission

Join us for this intensive 3-day workshop and gain hands-on experience in EEG signal processing and AI applications for brain-computer interfaces and neurological research.

For inquiries:

contactus@neurogati.comworkshops@neurogati.com