Tarek Echekki


  • 919-515-5238
  • Engineering Building III (EB3) 3252
  • Visit My Website

Dr. Echekki’s goal is to play an important role in the development of the next generation of combustion models. The next generation of combustion models will enable engineers to consider more daring designs in terms of the types of fuels, the range of operating conditions, the materials used, and flame stability.

At the graduate level, Dr.Echekki teaches Fluid Dynamics of Combustion I (MAE 504). This is a lecture-style course in which students, during a portion of the semester, work on projects. He also teaches Principles of Fluid Dynamics (MAE 550). This is a fundamental course with the added feature that the students in his class perform flow visualization experiments. He also teaches Turbulence (MAE 776). In his presentation of the material, there is a strong emphasis on empirically-based modeling of turbulent phenomena.

At the undergraduate level, he teaches Engineering Thermodynamics I and II (MAE 301 and MAE 302) and fluid Mechanics I (MAE 308). All of these classes are foundational. Drawing on personal experiences, he discusses new applications in combustion in the second thermodynamics course to give the students a greater appreciation of the challenges in the field and to encourage further reading.

Combustion plays an important role in the solution of many of the engineering problems that we face today. Graduate students who work with Dr. Echekki are also drawn to this area because of its breadth. The reliance of combustion on thermodynamics, heat transfer, and fluid mechanics means that it�s never boring and provides a foundation from which the student can later branch out.

Outside of work, Dr. Echekki spends time with his family and friends.


Ph.D. 1993

Mechanical Engineering

Stanford University

M.S. 1987

Mechanical Engineering

Stanford University

B.S. 1985

Mechanical Engineering

Washington University, St. Louis

Research Description

Dr. Echekki is currently developing multi-scale models for turbulent combustion and improving methods for direct numerical simulation of turbulent combustion. Dr. Echekki is interested in modeling and simulation of turbulent reacting flows, low-dimensional turbulent combustion models: linear-Eddy Model (LEM) and one-dimensional turbulence (ODT), direct numerical simulations, large-eddy simulations, micro-scale combustion. In MAE he works with Dr. Edwards, Dr. Lyons, and Dr. Roberts.


An ANN based hybrid chemistry framework for complex fuels
Ranade, R., Alqahtani, S., Farooq, A., & Echekki, T. (2019), FUEL, 241, 625–636. https://doi.org/10.1016/j.fuel.2018.12.082
A coupled LES-ODT model for spatially-developing turbulent reacting shear layers
Hoffie, A. F., & Echekki, T. (2018), INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER, 127, 458–473. https://doi.org/10.1016/j.ijheatmasstransfer.2018.06.105
Upscaling and downscaling approaches in les-odt for turbulent combustion flows
Fu, Y. Q., & Echekki, T. (2018), International Journal for Multiscale Computational Engineering, 16(1), 45–76.
Particle-filter based upscaling for turbulent reacting flow simulations
Srivastava, S., & Echekki, T. (2017), International Journal for Multiscale Computational Engineering, 15(1), 1–17.
Thermal radiation modeling using the LES-ODT framework for turbulent combustion flows
Ben Rejeb, S., & Echekki, T. (2017), International Journal of Heat and Mass Transfer, 104, 1300–1316.
Toward computationally efficient combustion DNS with complex fuels via principal component transport
Owoyele, O., & Echekki, T. (2017), Combustion Theory and Modelling, 21(4), 770–798.
Turbulence effects on the autoignition of DME in a turbulent co-flowing jet
Echekki, T., & Ahmed, S. F. (2017), Combustion and Flame, 178, 70–81.
An equivalent dissipation rate model for capturing history effects in non-premixed flames
Kundu, P., Echekki, T., Pei, Y. J., & Som, S. (2017), Combustion and Flame, 176, 202–212.
Asymptotic analysis of steady two-reactant premixed flames using a step-function reaction rate model
Echekki, T. (2016), Combustion and Flame, 172, 280–288.
Autoignition of n-heptane in a turbulent co-flowing jet
Echekki, T., & Ahmed, S. E. (2015), Combustion and Flame, 162(10), 3829–3846.

View all publications via NC State Libraries


Acquisition of a Computational Code from Sandia National Laboratories
Sandia National Laboratories(2/15/17 - 2/15/19)
Modelling Combustion Noise Spectrum for Lean-Burn Engines
University Global Partnership Network (UGPN)(8/01/14 - 7/31/15)
Multiphysics Simulation of Injection and Combustion of Supercritical Fuels
US Air Force - Office of Scientific Research (AFOSR)(3/01/13 - 12/31/16)
Multiscale Turbulent Reacting Flows and Data-Based Modeling
National Science Foundation (NSF)(8/15/12 - 7/31/16)
Computational Methods For Multiscale Turbulent Reacting Flows
National Science Foundation (NSF)(9/01/09 - 8/31/13)
A Multiscale Approach For Turbulence, Chemistry and Radiative Heat Transport Modeling in Combustion
US Air Force - Office of Scientific Research (AFOSR)(6/01/09 - 11/30/11)
Computational and Experimental Studies Turbulent PPremixed Flame Kernels
National Science Foundation (NSF)(9/01/08 - 8/31/13)
An Approach for the Direct Simulation of Subgrid Scale Physics in Fire Simulations
NCSU NC Space Grant Consortium(7/01/07 - 6/30/09)
Acquisition of a Workstation for Serial Computation of Turbulent Reacting Flows
US Air Force (USAF)(11/30/-1 - 6/14/06)