Dennice Gayme

About

Dennice Gayme is a professor of mechanical engineering with secondary appointments in the departments of Electrical and Computer Engineering and Applied Mathematics and Statistics at Johns Hopkins University. Her research focuses on modeling, analysis, and control of spatially distributed and large-scale networked systems in applications such as wall-bounded turbulent and transitional flows, wind farms, and power grids. Her lab utilizes computational and theoretical methods from applied mathematics, dynamics, controls, optimization, and fluid mechanics. She has received numerous awards including the IEEE Control Systems Society Distinguished Member Award in 2025, the Turbulence and Shear Flow Phenomena (TSFP12) Nobuhide Kasagi Award in 2022, the JHU Discovery Awards in 2019, 2022, and 2024, a WSE Excellence in Teaching Award in 2020, a CAREER Award from the National Science Foundation in 2017, the Office of Naval Research’s Young Investigator Program award in 2017, and a JHU Catalyst Award in 2015. Gayme serves on editorial boards for PRX Energy, Physical Review Fluids, the Annual Review of Fluid Mechanics, and is an associate editor of the Journal of Renewable and Sustainable Energy. She is a senior member of IEEE and a fellow of the American Physical Society. Her educational background includes a bachelor’s degree in mechanical engineering and society from McMaster University in 1997, an MS in mechanical engineering from the University of California at Berkeley in 1998,…

Research topics

• Computer Science
• Physics
• Environmental science
• Meteorology
• Engineering
• Classical mechanics
• Systems engineering
• Electrical engineering
• Process engineering
• Marine engineering

Selected publications

• A vortex sheet based analytical model of the curled wake behind yawed wind turbines

  Journal of Fluid Mechanics · 2021 · 60 citations

  Motivated by the need for compact descriptions of the evolution of non-classical wakes behind yawed wind turbines, we develop an analytical model to predict the shape of curled wakes. Interest in such modelling arises due to the potential of wake steering as a strategy for mitigating power reduction and unsteady loading of downstream turbines in wind farms. We first estimate the distribution of the shed vorticity at the wake edge due to both yaw offset and rotating blades. By considering the wak…

  DOI

• A co-design framework for wind energy integrated with storage

  Joule · 2022 · 48 citations

  DOI

• Turbulence and Control of Wind Farms

  Annual Review of Control Robotics and Autonomous Systems · 2021 · 46 citations

  Senior authorCorresponding

  The dynamics of the turbulent atmospheric boundary layer play a fundamental role in wind farm energy production, governing the velocity field that enters the farm as well as the turbulent mixing that regenerates energy for extraction at downstream rows. Understanding the dynamic interactions among turbines, wind farms, and the atmospheric boundary layer can therefore be beneficial in improving the efficiency of wind farm control approaches. Anticipated increases in the sizes of new wind farms to…

  DOI

• Analytical Model Coupling Ekman and Surface Layer Structure in Atmospheric Boundary Layer Flows

  Boundary-Layer Meteorology · 2024-03-22 · 19 citations

  article
  PublisherDOI

• Climate Change Mitigation, Adaptation, and Resilience: Challenges and Opportunities for the Control Systems Community

  IEEE Control Systems · 2024-06-01 · 17 citations

  articleOpen access

  Climate change poses an existential threat to humanity. It is now indisputable that the primary cause of this threat is human activity resulting in high greenhouse gas (GHG) emissions, which began during the Industrial Revolution and have continued to rapidly accelerate. The first warnings of impending and irreversible climate change were sounded decades ago, when governmental and intergovernmental policy makers had sufficient time to enact the changes needed to avoid the dire situation we find…

  PublisherOA PDFDOI

Recent grants

• CAREER: The restricted nonlinear framework: A new paradigm for modeling, analysis and control of wall-bounded turbulent flows

  NSF · $561k · 2017–2023

• Modeling, Analysis and Control Design for Spatially Distributed Systems with Application to Wind Farms

  NSF · $324k · 2016–2020

• CPS: Synergy: Collaborative Research: Beyond Stability: Performance, Efficiency and Disturbance Management for Smart Infrastructure Systems

  NSF · $284k · 2015–2020

Frequent coauthors

• F Lamnabhi-Lagarrigue

  Imperial College London

  208 shared

• Veronica Adetola

  208 shared

• Warren E. Dixon

  University of Florida

  208 shared

• Jacquelien M.A. Scherpen

  University of Groningen

  208 shared

• Francesco Bullo

  Dynamic Systems (United States)

  208 shared

• Okyay Kaynak

  Centre de Recherche sur les Risques et les Crises

  208 shared

• Thomas Parisini

  208 shared

• Dong‐il Cho

  208 shared

Education

• PhD, Control and Dynamical Systems

  California Institute of Technology

  2010

• MSc, Mechanical Engineering

  University of California Berkeley

  1998

Awards & honors

• IEEE Control Systems Society Distinguished Member Award (202…
• Turbulence and Shear Flow Phenomena (TSFP12) Nobuhide Kasagi…
• JHU Discovery Awards (2024)
• JHU Discovery Awards (2022)
• JHU Discovery Awards (2019)

Similar researchers at Johns Hopkins University

• Joseph Katzh-84
• Rajat Mittalh-68
• Gretar Tryggvasonh-65