Network Analysis of Neuro-Cognitive Processes: Studying McGurk Effect using EEG Data
The research work involved understanding multi-sensory perception involving auditory and visual cues using the McGurk effect. My focus in this research was to understand the network properties of the brain using EEG data obtained from multiple subjects.
Network Analysis of Food-Disease Associations
M. Malik, G. Gupta, L. Vig, and G. Shroff, BCQ4DCA: Budget Constrained Deep Q-Network for Dynamic Campaign Allocation in Computational Advertising, IEEE International Joint Conference on Neural Networks, 2021 (accepted).
Y. Rauthan, V. Singh, R. Agrawal, S. Kadlay, N. Pedanekar, S. Karande, M. Malik, and I. Tariang, Avoid Crowding in the Battlefield: Semantic Placement of Social Messages in Entertainment Programs, International Workshop on AI for Smart TV Content Production, Access and Delivery (AI4TV '20)