Robust statistical learning from ‘ Big Network Data
نویسندگان
چکیده
The overarching theme of my research is on algorithms, analysis, and application of statistical signal processing tools to dynamic network health monitoring, social, power grid, and Big Network Data analytics. Experience, background, and current research include robust, distributed, and sparsity-aware learning from high-dimensional network data; which finds exciting applications in understanding the dynamics of emergent social-computational systems, and protecting critical infrastructure such as the Internet’s backbone. My long-term research objective is to harness the power of (graph) data to bring significant science and engineering advances of networked systems, along with consequent improvements in quality of life.
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