Research Interests:
My research interests span the area of information theory and communications theory, network coding, graphical models and probabilistic inference, machine and deep learning, network protocols and architectures and applications of related ideas in wireless systems including next-generation wireless mobile cellular networks.
Codes on Graphs/Rateless Codes: LDPC Codes, Optimized Finite-Length LDPC Codes, Unequal Error Protection (UEP) Rateless Codes, Rateless Coding for Multimedia Streaming
Machine Learning and Channel Codes: Autoencoder based codes, end-to-end ML-based PHY layer design
Random Linear Network Coding: Random Linear Network Coding (RLNC), UEP RLNC, RLNC for Multimedia Streaming
Multimedia over Wireless: Multimedia delivery services over wireless cellular networks (LTE/LTE-A, 5G)
Multiple/Random Access: Random access using ALOHA-type protocols, Coded Slotted ALOHA
Probabilistic Graphical Models and Belief Propagation: factor graphs and BP in discrete (coding theory) and continuous (power grids, robotics, SLAM) models
Compressed Sensing: Connections with sparse-graph codes, graphical models and Belief Propagation.
5G/6G Mobile Cellular Networks: machine type communications services in 5G/6G (mMTC/URLLC), 5G/6G radio access network design, 5G services for Smart Grid, Integration of 5G/6G and roboticsÂ