Teaching & Mentoring

Details of a few lectures I have taught as a master's student.

  1. I was invited by Prof. Krishna Prasad Miyapuram and Dr. Pankaj Pandey to take a lecture on event-related potentials (ERPs) used in EEG signal processing for the course of “Computation and Cognition” at the Indian Institute of Technology Gandhinagar in Fall 2023.

  2. I was invited by the EETI foundation to give an introductory talk on brain-computer interfaces. The session was conducted online and was attended by around 100 enthusiastic students (since gmeet only allows 100). You can find a recording of the lecture here.

  3. I was invited by Prof. Krishna Prasad Miyapuram to take a lecture on EEG signal processing to decode brain states using feature extraction and machine learning approaches for the course of “Computational Neuroscience” at the the Indian Institute of Technology Gandhinagar in Spring 2023.

Mentored Projects

  1. Saher Soni (Masters Student, IIT Gandhinagar) Decoding of Motor Imagery Signal from EEG data using LSTM. Manuscript submitted to ICANN 2023.
  2. Subhanarayan Mishra (Masters Student, IIT Gandhinagar) Classification of music evoked EEG responses using Machine Learning.
  3. Smriti Saini (Masters Student, IIT Gandhinagar) Classifying Hand Postures while reaching, twisting, and grasping from surface EMG signals. Current Status: Incoming doctoral candidate at MIT Brain and Cognitive Sciences
  4. Bagmish Sabhapondit (Masters Student, IIT Gandhinagar) Predicting drum beats from high-density brain rhythms: Stimulus-Response correlation of EEG responses recorded during drumbeat listening.
  5. Riddhi Johri (Masters Student, IIT Gandhinagar) Classifying imagined speech signals of EEG using machine learning and deep learning approaches.
  6. Dheemant Jallepalli (Undergraduate Student, IIT Jodhpur) Distinguishing between EEG signals of winning or losing a gamble after accepting or rejecting it. Current Status: MITACS intern at University of Manitoba, Canada
  7. Anupam Sharma (Masters Student, IIT Gandhinagar) Brain to text: Predicting MNIST digits seen by a person using EEG signals processing and machine learning.
  8. Sreelakshmi K (Masters Student, IIT Gandhinagar) Classifying the brain oscillations while listening to the natural music of highly contrasting textures(NMED-e).