Day 1
8:30 am – 9:30 am:
Introduction to Neuroscience (Mriganka Sur, MIT, USA)
9:30 am – 10:30 am:
Human-centered multimodal machine intelligence for health (Shrikanth Narayanan, USC, USA)
10:30 am – 11:00 am:
☕ Tea Break
11:00 am – 12:00 pm:
Origin of EEG signals (Rajeswari Aghoram, JIPMER)
12:00 pm – 1:00 pm:
EEG signals and their interpretation (Rajeswari Aghoram, JIPMER)
1:00 pm – 2:00 pm:
🍽️ Lunch Break
2:00 pm – 3:30 pm:
Introduction to Signal Processing and Machine Learning for EEG Signals (Hema A Murthy, IITM / S Umesh, IITM)
3:30 pm – 4:00 pm:
☕ Tea Break
4:00 pm – 5:30 pm:
Hands-on Session: EEG Data Acquisition (EEG Lab IITM)
5:30 pm – 6:00 pm:
☕ Tea Break
6:00 pm – 7:00 pm:
Interpretable multimodal modeling for neurological and mental health (Vikram Ramanarayanan, Modality.AI, Inc. and UCSF)
Day 2
8:30 am – 9:30 am:
EEG in Diseases of the Brain (Rajeswari Aghoram, JIPMER)
9:30 am – 10:30 am:
Decoding speech perception puzzle with the EEG code (Sriram Ganapathy, IISc)
10:30 am – 11:00 am:
☕ Tea Break
11:00 am – 12:00 pm:
Patterns in EEG: from biometrics, speech, states of consciousness to sleep disorders (A. G. Ramakrishnan, IISc)
12:00 pm – 1:00 pm:
Tracking and training human attention with a cognitive brain-machine interface (Sridharan Devarajan, IISc)
1:00 pm – 2:00 pm:
🍽️ Lunch Break
2:00 pm – 3:30 pm:
Decoding Speech from EEG + EEG in Biometric Systems (Rini Sharon + Mari Ganesh Kumar, IITM)
3:30 pm – 4:00 pm:
☕ Tea Break
4:00 pm – 5:30 pm:
Lab Session — EEG Analysis (Basic Signal Processing and Machine Learning) (EEG Lab IITM)
5:30 pm – 6:00 pm:
☕ Tea Break
6:00 pm – 7:00 pm:
Automated Multilingual Speech Recognition (Bhuvana Ramabhadran, Google Research, USA)
Day 3
8:30 am – 9:30 am:
A high-performance neuroprosthesis for speech decoding and avatar control (Alexander Silva, UCSF, USA)
9:30 am – 10:30 am:
Exploring the brain’s networks using noninvasive electrophysiological measurements: methods and applications (Richard Leahy, USC, USA)
10:30 am – 11:00 am:
☕ Tea Break
11:00 am – 12:00 pm:
Using EEG to Study Mental Experiences: Bridging the Gap Between Medical and Engineering Perspectives (Arun Sasidharan, NIMHANS)
12:00 pm – 1:00 pm:
Whole brain connectome models to infer structure and function from EEG (Arpan Banerjee, NBRC)
1:00 pm – 2:00 pm:
🍽️ Lunch Break
2:00 pm – 3:30 pm:
Panel Discussion (Panel)
3:30 pm – 4:00 pm:
☕ Tea Break
4:00 pm – 5:30 pm:
Lab Session — Presentations (EEG Lab IITM)