Prof. Igor Mezic applies advanced methods of nonlinear dynamics and ergodic theory to the study of robust uncertainty management in complex networks and data assimilation in geophysical fluid dynamics. This AMR audio interview describes his path to a career of cutting-edge scientific research and engineering education, including his leadership in university-industry partnerships, his development of large-data diagnostic tools for forecasting coastal contamination from the 2010 Gulf oil spill, and his work on developing a curriculum in building energy efficiency.
The Journal of Dynamic Systems, Measurement, and Control publishes theoretical and applied original papers in the traditional areas implied by its name, as well as papers in interdisciplinary areas. Theoretical papers are expected to present new theoretical developments and knowledge for controls of dynamical systems together with clear engineering motivation for the new theory. New theory or results that are only of mathematical interest without a clear engineering motivation or have a cursory relevance only are discouraged. "Application" is taken to include modeling, simulation of realistic systems, and corroboration of theory with emphasis on demonstrated practicality.
2013 Journal Citation Reports® by Thomson Reuters, 2014
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