An interactive session on Machine Learning and Brain-Computer Interface was conducted by Mr. Sujit Roy for the third and fourth-year students of CSE Department at Manav Rachna International Institute of Research and Studies. Mr. Sujit Roy is an alumnus of the 2017 batch of MRIIRS and has an experience of over five years in Research and Development in the field of Computer Science and.

The session was focused mainly on the discussion about “Can A Single Model Deep Learning Approach Enhance Classification Accuracy Of An EEG-Based Brain-Computer Interface? (IEEE SMC 2019)”.

He explained his work on Brain Signal Mapping) where he has designed a prediction-based model of motor movements for controlling robotic exoskeleton by stroke patients using MEG/EEG signals which includes algorithm developments for improving classification in real-time BCI systems.

His presentation was followed by a Q&A session to clear doubts regarding deep learning, merits of pre-trained models vs convolution neural networks (CNN) and Adam optimization method. The session was concluded with Mr. Sujit Roy being presented a token of appreciation by Dr. Suresh Kumar on behalf of the CSE Department.