Dennice F. Gayme is an associate professor of mechanical engineering and the Carol Croft Linde Faculty Scholar. Her research focuses on modeling, analysis, and control for spatially distributed and large-scale networked systems in applications such as wall-bounded turbulent flows, wind farms, and power grids. Her lab utilizes computational and theoretical methods from applied mathematics, dynamics, controls, optimization, and fluid mechanics. She also models turbulence in wind farms and methods for integrating renewable energy sources onto the grid.
She received the Turbulence and Shear Flow Phenomena (TSFP12) Nobuhide Kasagi Award in 2022, the JHU Discovery Awards in 2022 and 2019, a WSE Excellence in Teaching Award in 2020, a CAREER Award from the National Science Foundation in 2017, the Office of Naval Research’s prestigious Young Investigator Program award in 2017, and a JHU Catalyst Award in 2015.
Gayme serves as an associate editor of IEEE’s Transactions on the Control of Network Systems and an editorial board member of PRX Energy. She is a senior member of the Institute for Electrical and Electronic Engineers (IEEE), and member of a variety of technical organizations, including the American Physical Society (APS), the Society of Industrial and Applied Mathematics (SIAM) and the American Society of Mechanical Engineers (ASME). She is also the faculty representative for the Johns Hopkins undergraduate chapter of the Society of Women Engineers (SWE).
Gayme received a bachelor’s degree in mechanical engineering and society from McMaster University in Ontario in 1997 and an MS from the University of California at Berkeley in 1998. She went on to earn a PhD in control and dynamical systems from California Institute of Technology in 2010, where she stayed to work as a postdoctoral fellow. Prior to earning her doctorate, she was as a senior research scientist for Honeywell Laboratories in Minneapolis.
She joined Johns Hopkins’ Department of Mechanical Engineering in 2012. She holds secondary appointments in the departments of Electrical and Computer Engineering, Environmental Health and Engineering, and Applied Mathematics and Statistics.