My group is working to accelerate big data applications by redesigning the algorithms using strategies that more closely model the ultimate efficient learning machine: "the human brain". Specifically, we are working on a wide range of practical problems in the area of brain-inspired computing, machine learning, computer architecture, and embedded systems. We design real-time, robust, and programmable computing platforms that cover a wide range of learning, cognitive, and genomics tasks. We also design a secure and scalable learning framework for distributed learning/computing over swarm of edge devices in IoT systems.