I am Rishikanth Chandrasekaran, a CSE PhD Student at the University of California, San Diego. Prior to joining UCSD I completed my Masters in Computer Engineering at Columbia University, New York.

I spend most of my time musing over Deep Learning models. My research focuses on exploiting the synergy between Deep Learning and Hyperdimensional Computing to enable lightweight learning for various domains such as Meta Learning, Federated Learning, Computer Vision and NLP.


Recent publications

FHDnn Communication Efficient and Robust Federated Learning for AIoT Networks

59th Design Automation Conference

A Drone-based System for Intelligent and Autonomous Homes

Proceedings of the 19th ACM Conference on Embedded Networked Sensor Systems

Efficient Sparse Processing in Smart Home Applications

Proceedings of the 1st Workshop on Machine Learning on Edge in Sensor Systems