Tarek Echekki

Director of Undergraduate Programs, Associate Department Head

At the graduate level, Dr. Echekki has taught Fluid Dynamics of Combustion I (MAE 504) and the follow up advanced combustion course, Fluid Dynamics of Combustion II (MAE 704). He also has taught the graduate Fluid Dynamics course, Foundations of Fluid Dynamics (MAE 550) and an introduction to Turbulence, Turbulence (MAE 776).

At the undergraduate level, he has taught Engineering Thermodynamics I and II (MAE 201 and MAE 302) and fluid Mechanics I (MAE 308).

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 the subject is 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.

Publications

Investigation of deep learning methods for efficient high-fidelity simulations in turbulent combustion
Gitushi, K. M., Ranade, R., & Echekki, T. (2022), COMBUSTION AND FLAME, 236, 111814. https://doi.org/10.1016/j.combustflame.2021.111814
Principal component analysis based combustion model in the context of a lifted methane/air flame: Sensitivity to the manifold parameters and subgrid closure
Malik, M. R., Coussement, A., Echekki, T., & Parente, A. (2022), COMBUSTION AND FLAME, 10. https://doi.org/10.1016/j.combustflame.2022.112134
A data-based hybrid model for complex fuel chemistry acceleration at high temperatures
Alqahtani, S., & Echekki, T. (2021), COMBUSTION AND FLAME, 223, 142–152. https://doi.org/10.1016/j.combustflame.2020.09.022
A numerical study of backdraft phenomena under normal and reduced gravity
Ashok, S. G., & Echekki, T. (2021), FIRE SAFETY JOURNAL, 121, 103270. https://doi.org/10.1016/j.firesaf.2020.103270
An Efficient Machine-Learning Approach for PDF Tabulation in Turbulent Combustion Closure
Ranade, R., Li, G., Li, S., & Echekki, T. (2021), Combustion Science and Technology. https://doi.org/10.1080/00102202.2019.1686702
Experiment-Based Modeling of Turbulent Flames with Inhomogeneous Inlets
Ranade, R., Echekki, T., & Masri, A. R. (2021, November 16), FLOW TURBULENCE AND COMBUSTION, Vol. 108, pp. 1043–1067. https://doi.org/10.1007/s10494-021-00304-8
Large Eddy Simulation on the Effects of Coal Particles Size on Turbulent Combustion Characteristics and NOx Formation Inside a Corner-Fired Furnace
Sun, W., Zhong, W., Zhang, J., & Echekki, T. (2021), JOURNAL OF ENERGY RESOURCES TECHNOLOGY-TRANSACTIONS OF THE ASME, 8. https://doi.org/10.1115/1.4048864
Application of deep artificial neural networks to multi-dimensional flamelet libraries and spray flames
Echekki, T. (2020), International Journal of Engine Research. https://doi.org/10.1177/1468087419837770
In the rain with and without an umbrella? The Reynolds transport theorem to the rescue
Echekki, T. (2020), EUROPEAN JOURNAL OF PHYSICS, 41(1), 015002. https://doi.org/10.1088/1361-6404/ab4b62
A framework for data-based turbulent combustion closure: A posteriori validation
Echekki, T. (2019), Combustion and Flame. https://doi.org/10.1016/j.combustflame.2019.08.039

View all publications via NC State Libraries

Grants

  • Reduced Order Surrogate Models for Direct Numerical Simulation for Exascale Computing in Turbulent Combustion
  • From Experiments to Models: A Data-Science Approach for Low-Temperature Chemistry
  • Liquid Rocketry Lab
  • EAGER: An Experiment-Based Framework for Turbulent Combustion Modeling
  • Acquisition of a Computational Code from Sandia National Laboratories
  • Modelling Combustion Noise Spectrum for Lean-Burn Engines
  • Multiphysics Simulation of Injection and Combustion of Supercritical Fuels
  • Multiscale Turbulent Reacting Flows and Data-Based Modeling
  • Computational Methods For Multiscale Turbulent Reacting Flows
  • A Multiscale Approach For Turbulence, Chemistry and Radiative Heat Transport Modeling in Combustion
Tarek Echekki