Jeffrey Moehlis

Jeffrey Moehlis’s research interests include applying dynamical systems techniques to understand the response dynamics of neural populations, the dynamics of natural and artifical swarms, the nature of shear flow turbulence, and the dynamics of individual and coupled MEMS (micro-electro-mechanical systems) devices. In the area of energy generation, Moehlis is currently researching advanced concepts in vibrational energy harvesting devices that are used to capture energy from unwanted vibrations from vehicles, machinery and buildings. Moehlis has also applied his research to building systems integration by developing reduced-order models that capture particular characteristic behaviors of large systems (like building systems) but which are computationally inexpensive. Moehlis also works with other faculty members at the Greenscale Center for Energy-Efficient Computing to research airflow and control algorithms related to forced air cooling in computational facilities.