The research at SISReL focuses on signal processing, statistical inference, machine learning and reinforcement learning with applications to smart intelligent infrastructure, internet-of-things, and next generation communication systems. SISReL is trying to advance the fundamental understanding of information embedding and to develop advanced algorithms for statistical inference and reinforcement learning associated with large data set and smart infrastructure that will be the main issue of the systems area in the future.