We develop methods to observe natural systems using Intelligent Systems methodology. Toward this end, we research the classics: nonlinear dynamics, stochastic processes, estimation and control, and the modern, including pattern recognition, machine learning, and information theory. You will find that the several projects listed here emphasize the Dynamic Data Driven nature of our approach.
ESSG is strongly interdisciplinary, comfortable developing both methodology and application. You can find us tinkering with "what works in the field," but we are a methodologically inclined group comfortable stretching contours of systems science. At our heart, we are motivated to bring systems engineering to investigations of the earth and environment.
Participants come from many pedagogical areas including EAPS, EECS, Mathematics, and Mechanical and Aerospace Engineering. ESSG is funded in part by the AFOSR Data-Driven Dynamic Application Systems (DDDAS) Program, the National Science Foundation (NSF), Lincoln Laboratory, Naval Undersea Warfare Center Division (NUWC), and MIT's MISTI program.
Here you will find the people, projects, and publications associated with our group. Enjoy!