Cognitive Inference and Signal Processing in Adversarial Uncertain Environments

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To collect data, process and make it available and readily accessible for a wide range of potential applications, various cyber technologies are emerging in a highly distributed architecture for increasing numbers and types of heterogeneous sensors. The goal of the proposed research program (RP) is to invent and analyze cognitive distributed algorithms for processing data. Traditional methods often fail in practice because they are not designed to take into account uncertain and adversarial environments (Umunication, cognitive passive radars, compressed sensing and sparse signal processing, atrial fibrillation mapping, machine learning, hyper-spectral imaging and recursive Bayesian estimation. The outcomes of this research are in the form of novel methods for enhanced sensing and monitoring of the environment such as localization and detection of sources and objects using multiple types and number of distributed sensors such as radars, cameras, electrodes. ******This RP will yield solutions in the form of advanced and low-cost cognitive signal processing algorithms and invent new methods to enable critical systems to learn and cognitively operate in U&AEs. These solutions will have applications in various industries such as: energy, communication, automotive, radar, security, biomedical, financial and big data. Advances in these sectors will have a significant impact upon the Canadian economy and employment, as relevant sectors generate significant annual revenue. Canada's industries will also stand to benefit from the outcomes of this RP because the cognitive paradigm promotes more efficient resource use, and their success in increasing efficiency will make them more competitive. In addition, six PhD, four MSc and five undergraduate students will be trained in leading-edge technology to help meet the growing demand for expertise in this area. ******The timeliness of this research is evidenced by recent massive job creation by multiple industries in the areas of intelligence, machine learning, and signal processing. HQP trained to fill these necessary roles are critical to supporting profitable investment in Canadian business.