Current projects involve several cross-discipline application areas, including (i) network security, data analytics and e-commerce problems in computer science as well as (ii) geotechnical imaging, groundwater hydrology and structural health monitoring problems in civil engineering.
The lab's research mission is to evolve the established signal processing discipline to address the rich and diverse problem space arising from our modern networked world. The organized study of this problem space has been coined network science, defined by the National Research Council as "the study of network representations of physical, biological and social phenomena leading to predictive models of these phenomena." Our hypothesis is that signal processing methods (particularly those that intersect with the mathematical fields of computation, operations research and statistics) offer a solid foundation for examining the interconnections among multiple types of networks (e.g., physical or engineered networks, information networks, social networks) and for discovering common principles, models, algorithms and tools that govern their behaviors. Housed in UNF's School of Engineering, equally important is the lab's educational mission, namely to foster the professional development and intellectual agility of our talented students so that they may enjoy long-term success within a rapidly changing information technology marketplace and contribute to the welfare of our region, state, nation and world.