Welcome to ESSG at MIT!

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.

Read more about our values here

Participants come from many pedagogical areas including EAPS, EECS, Mathematics, and Mechanical and Aerospace Engineering. For example, here are a few who attended Z. Li's talk on his project work--

Left to Right: Margaret Trautner (18, Learning-Dynamics), Jacob Edison (16, Dynamics-UAS), Goran Zivanovic (6, Learning-Exoplanets), Aarti Dwivedi (12, Learning-Geophysics), Michael Barbehenn (visiting scientist, Ecology), Sai Ravela (EAPS), Ziwei Li (12, Learning-Atmosphere), Zhchang Zhan (12, Learning-Exoplanets) are present with our test aircraft. Photo by L. Hinkel.

ESSG is funded in part by the Office of Naval Research (ONR), the AFOSR Data-Driven Dynamic Application Systems (DDDAS) Program, the National Science Foundation (NSF), Lincoln Laboratory, Naval Undersea Warfare Center Division (NUWC), the Seaver Intitute, MIT's MISTI and ESI programs.

Here you will find the people, projects, and publications associated with our group. Enjoy!