Specialization

Brain Computer Interface, Machine Learning and Artificial Intelligence

Email

stuti.chug@thapar.edu

Education
1.    Pursuing PhD in Computer Science and Engineering from BITS Pilani, Pilani Campus
o    Title – Design and Implementation of Algorithms for Channel Selection and Thought Classification for Brain-Computer Interface  
2.    M. Tech. in Computer Science and Engineering from LNMIIT Jaipur, Rajasthan.
3.    B. Tech. in Computer Science and Engineering from MAIET Jaipur, Rajasthan

Conference publications
•    Chug, Stuti, and Vandana Agarwal. "MFO-SENN: Self-evolving Radial Basis Function Neural Network using Moth Flame Optimization for Motor Imagery task Classification." 2023 International Joint Conference on Neural Networks (IJCNN). IEEE, 2023.
o    Received INNS student travel grants for paper presentation.
o    Present the work in person in Queensland, Australia.
•    Chug, Stuti, and Vandana Agarwal. "SENN: Self-evolving Neural Network to Recognize Motor Imagery Thought Patterns ." IJCCI. 2022.
o    Present the work in person in Malta, Europe.
•    Chug, Stuti, and Vandana Agarwal. "Channel Selection for Motor Imagery Task Classification using Non-linear Separability Measurement." ICPRAM. 2022.
o    Present the work in virtual mode.
•    Chug, Stuti, Vibhor Kant, and Mukesh Jadon. "Trust distrust enhanced recommendations using an effective similarity measure." International Conference on Mining Intelligence and Knowledge Exploration. Springer, Cham, 2017.

Workshops/Technical Events Attended/Organized 
•    BCL-2023 IISc Bangalore
•    BCI & Neuro Technology Spring School - 2020
•    Workshop on Machine Learning - 2016
•    IBM lab on Big Data and Analytic - 2015
•    IBM lab on Big Data a Workshop on AutoCAD - 2012