Scholar

Tamer Zaki

Google Scholar ID: 9V32XoEAAAAJ

Professor of Mechanical Engineering, Johns Hopkins University

Fluid mechanicsTurbulenceTransitionData assimilationMachine Learning

Citations & Impact

All-time

Citations

3,876

H-index

i10-index

Publications

Co-authors

list available

Contact

Resume

Background

Professor in the Department of Mechanical Engineering at Johns Hopkins University
Focuses on theoretical and computational innovations in transitional and turbulent shear flows, two-fluid shear flows, and turbulence
Addresses challenges arising from the interaction of turbulence with momentum, heat, and mass transfer
Affiliated with the Institute for Data Intensive Engineering and Science (IDIES), the Center for Environmental and Applied Fluid Mechanics (CEAFM), and the Hopkins Extreme Materials Institute (HEMI)
Leads the Flow Science and Engineering (FSE) group, known for high-fidelity simulations and data assimilation using machine learning to reconstruct full flow fields from sparse sensor data
Current research includes modeling and controlling transition to turbulence in extreme flows, flow manipulation, turbulent drag reduction, and stability of complex fluids

Co-authors

3 total