00

Publications

Research on extreme events, uncertainty quantification, turbulent dynamics, data assimilation, and scientific machine learning.

01

Journal articles

01
2026 · Published

Zero-shot prediction of thermoacoustic instability precursors via phase-space reconstruction and CNN-based recurrence learning

R. Agarwal and M. A. Mohamad

Proceedings of the Combustion Institute 42, 106063

DOI
02
2026 · Published

Resonance-driven intermittency and extreme events in turbulent scalar transport with a mean gradient

M. A. Mohamad and D. Qi

Proceedings of the Royal Society A 482, 20260150

DOI
03
2026 · Accepted

Deep learning for continuous lead-time prediction of thermoacoustic instabilities in an annular combustor

G. Ponchet de Langlade and M. A. Mohamad

Proceedings of the Combustion Institute, accepted for publication

04
2026 · Under review

Extreme event precursor detection in dynamical systems using a recurrence-based deep learning framework

R. Agarwal and M. A. Mohamad

Manuscript under review; preprint 2025

Preprint
05
2025 · Published

Detecting and characterizing thermoacoustic oscillations in an industrial combustor with the spectral proper orthogonal decomposition

H. Gambassi, N. Sekularac, P. Ziade, M. A. Mohamad, and X. Fang

Applications in Energy and Combustion Science 23, 100344

DOI
06
2020 · Published

Recovering the Eulerian energy spectrum from noisy Lagrangian tracers

M. A. Mohamad and A. J. Majda

Physica D 403, 132374

DOI
07
2019 · Published

Eulerian and Lagrangian statistics in an exactly solvable turbulent shear model with a random background mean

M. A. Mohamad and A. J. Majda

Physics of Fluids 31, 105115

DOI
08
2018 · Published

Sequential sampling strategy for extreme event statistics in nonlinear dynamical systems

M. A. Mohamad and T. P. Sapsis

Proceedings of the National Academy of Sciences 115, 11138–11143

DOI
09
2018 · Published

Heavy-tailed response of structural systems subjected to extreme forcing events

H. K. Joo, M. A. Mohamad, and T. P. Sapsis

ASME Journal of Computational and Nonlinear Dynamics 13(9), 090914

DOI
10
2017 · Published

Extreme events and their optimal mitigation in nonlinear structural systems excited by stochastic loads

H. K. Joo, M. A. Mohamad, and T. P. Sapsis

Ocean Engineering 142, 145–160

DOI
11
2016 · Published

A probabilistic decomposition-synthesis method for the quantification of rare events due to internal instabilities

M. A. Mohamad, W. Cousins, and T. P. Sapsis

Journal of Computational Physics 322, 288–308

DOI
12
2016 · Published

Probabilistic response and rare events in Mathieu's equation under correlated parametric excitation

M. A. Mohamad and T. P. Sapsis

Ocean Engineering 120, 289–297

DOI
13
2015 · Published

Probabilistic description of extreme events in intermittently unstable systems excited by correlated stochastic processes

M. A. Mohamad and T. P. Sapsis

SIAM/ASA Journal on Uncertainty Quantification 3(1), 709–736

DOI