Data Science for Large-Scale Connected Autonomous Systems

We present a novel approach to design, analysis, and control of large-scale connected autonomous learning systems. We describe our resent results on methodology and applications of statistical learning and data science to cyber-physical systems in advanced manufacturing, to materials science, to automated analysis of social networks, and to manifold-valued learning for complex systems of sensors and for e-commerce.