Arun Narayanan
Biography
I am a post-doctoral researcher focusing on managing distributed cyber-physical systems and resource allocations across networks in constrained settings. I deal with problems of resource scheduling and control, energy efficiency, renewable energy usage, and information flow across networks. I use a wide variety of computational techniques, including collective learning, collective (swarm) intelligence, heuristics, linear and nonlinear optimization, federated learning, graph learning, reinforcement learning, and recurrent neural networks, to explore problems of energy-efficient, secure, and private resource allocation across networks. I am especially interested in scalability and large-scale networks.
My research has applications to green electricity grids and markets, networked energy systems, peer-to-peer exchanges in microgrids, drone swarms, industrial energy networks, manufacturing job shop scheduling, and delivery logistics (capacitated vehicle routing problems).