Mahmood Mousavi

Dr. Mahmood Mousavi is an assistant professor in the Department of Aerospace Engineering. His research focuses on combustion, compressible flow, scientific machine learning (SciML) and multiphase flow dynamics under extreme conditions.

Before joining Embry-Riddle, Mousavi completed postdoctoral appointments at Seoul National University in South Korea and the University of Texas at Austin. He also served as an Assistant Teaching Professor at Bowling Green State University and collaborated on research initiatives with Texas A&M University.

Mousavi earned a Ph.D. in Aerospace Engineering from Shiraz University with a specialization in aerodynamics and an M.S. in Aerospace Engineering with a concentration in propulsion from Ferdowsi University of Mashhad.

His scholarly work has resulted in more than 40 peer-reviewed publications in leading aerospace and engineering journals. He is also an active contributor to the research community, having reviewed more than 300 manuscripts for internationally recognized scientific journals. His current work explores advanced computational methods and data-driven approaches for modeling complex flow and combustion phenomena.

• Best Prototype and Innovation Award — 2026: Received the Best Prototype and Innovation Award at the 2026 NASA RASC-AL Competition.
• Physics of Fluids SciLight and Featured Article — 2024: Publication titled “Bubble generation mechanisms in microchannel under microgravity and heterogeneous wettability” was selected as a Featured Article in Physics of Fluids and highlighted in AIP SciLight.
• International Journal of Modern Physics C Editor’s Pick — 2024: Publication titled “Quantitative comparison of dam break and bubble flows based on CF-VOF and IR-VOF schemes” was selected as an Editor’s Pick in International Journal of Modern Physics C.
• Physics of Fluids Editor’s Pick — 2023: Publication titled “Impact of hybrid surfaces on the droplet breakup dynamics in microgravity slug flow: A dynamic contact angle analysis” was selected as an Editor’s Pick in Physics of Fluids.
• World’s Top 2% Scientists — 2021 and 2022: Ranked among the World’s Top 2% Scientists in the annual scientific impact rankings.
• Best Postdoctoral Researcher — 2021–2022: Applied Physics Laboratory, Seoul National University.
• Ranked 1st in Ph.D. Program — 2020: Aerospace Engineering Department, Shiraz University.
• Top-Ranked Master’s Student — 2013: Engineering Department, Ferdowsi University of Mashhad.

1. Parizad, F.A., Mousavi, M., Lee, B.J. (2026). Shock wave–bubble interactions: Effects of bubble size and gas properties on instability dynamics. Computers & Fluids, 317, 107161.
2. Mousavi, M., Caldwell, C., Baltes, J., Parizad, F.A., Aljasem, M., Lee, B.J., Karimi, N. (2026). Physics-informed neural networks in clean combustion: A pathway to sustainable aerospace propulsion. Chemical Engineering Research and Design, 226, 258–281.
3. Mishra, R., Mousavi, M., Nelson, A., Jarrahbashi, D. (2026). Supervised learning-adaptive global pathway selection method coupled with in-situ adaptive tabulation to accelerate reacting simulations. Fuel, 415, 138379.
4. Mousavi, M., Faroughi, S.A. (2025). Spreading and Rebound of Viscoelastic Droplets on Surfaces with Hybrid Wettability. Physics of Fluids, 37, 013124.
5. Mousavi, M., Lee, B.J., Kim, J., Sotoudeh, F., Chun, B., Jun, D., Karimi, N., Abolfazli Esfahani, J. (2024). On the effects of adding syngas to an ammonia-MILD combustion regime—A computational study of the reaction zone structure. International Journal of Hydrogen Energy, 52, 226-240.  
6. Lee, J., Jun, D., Chun, B., Mousavi, M., Lee, B.J., Faroughi, S.A. (2024). Large Eddy simulation of the effects of radiative heat loss on combustion instability prediction. Acta Astronautica, 217, 312-322.
7. Mousavi, M., Lee, J., Lee, B.J., Jarrahbashi, D., Karimi, N., Faroughi, S.A. (2024). Bubble generation mechanisms in microchannel under microgravity and heterogeneous wettability. Physics of Fluids, 36, 023351.
8. Mousavi, M., Sotoudeh, F., Chun, B., Lee, B.J., Karimi, N., Faroughi, S.A. (2024). The potential for anti-icing wing and aircraft applications of mixed-wettability surfaces - A comprehensive review. Cold Regions Science and Technology, 217, 104042. 
9. Sotoudeh, F., Mousavi, M., Karimi, N., Lee, B.J., Abolfazli-Esfahani, J., Manshadi, M.K.D. (2023). Natural and synthetic superhydrophobic surfaces: A review of the fundamentals, structures, and applications. Alexandria Engineering Journal, 68, 587-609. 7
10. Mousavi, M., Jarrahbashi, D., Lee, B.J., Karimi, N., Faroughi, S.A. (2023). Impact of hybrid surfaces on the droplet breakup dynamics in microgravity slug flow: A dynamic contact angle analysis. Physics of Fluids, 35, 072003. 
11. Lee, J., Mousavi, M., Lee, B.J., Faroughi, S.A. (2023). Quantitative comparison of dam break and bubble flows based on CF-VOF and IR-VOF schemes. International Journal of Modern Physics C, 35, 2450062. 
12. Chun, B., Mousavi, M., Lee, J., Lee, B.J., Faroughi, S.A. (2023). On the effects of fractal geometry on reacting and nonreacting flows in a low-swirl burner: A numerical study with large-eddy simulation. Case Studies in Thermal Engineering, 49, 103385. 
13. Mousavi, M., Roohi, E. (2023). On the effects of hybrid surface wettability on the structure of cavitating flow using implicit large eddy simulation. Journal of the Taiwan Institute of Chemical Engineers, 148, 104828. 
14. Mousavi, M., Lee, B.J. (2022). Investigation of bubble structure in a microchannel under microgravity conditions: Effects of discontinuous wettability with dynamic contact angle. Acta Astronautica, 201, 394-400. 
15. Mousavi, M., Sotoudeh, F., Lee, B.J., Paydari, M.-R., Karimi, N. (2022). Effect of hybrid wall contact angles on slug flow behavior in a T-junction microchannel: A numerical study. Colloids and Surfaces A: Physicochemical and Engineering Aspects, 650, 129677. 
16. Mousavi, M., Sotoudeh, F., Jun, D., Lee, B.J., Esfahani, J.A., Karimi, N. (2022). On the effects of NH3 addition to a reacting mixture of H2/CH4 under MILD combustion regime: Numerical modeling with a modified EDC combustion model. Fuel, 326, 125096.