תמונה של ד"ר מאור פריד

Acadamic research

During my PhD, that was motivated and funded by the Israeli Prime Minister’s Office, I developed methods and devices for prediction and mitigation of life-threatening seismic-induced damages in nuclear facilities with major hazardous potential and national interest. 

Since then, I focus on prediction and prevention of catastrophic events in complex and chaotic physical systems, such as earthquakes, sadden failure in engineering systems and structures, and extreme climate changes. This, by utilizing profound scientific theories such as nonlinear dynamics and Chaos Theory, with advanced machine-learning algorithms, while the main motivation is preventing the loss of millions of lives and vast environmental damages worldwide. 

תמונה של ד"ר מאור פריד
  1. M. Farid, “Data-Driven Response Regime Exploration and Identification for Dynamical Systems‏.” Arxiv:2304.05822 (2023).  🔗
  2. M. Farid, “Escape dynamics of a particle from a purely nonlinear truncated quartic potential well under harmonic excitation.” Nonlinear Dynamics 111.4 (2023): 3035-3051. 🔗
  3. M. Farid, “Data-driven method for real-time prediction and uncertainty quantification of fatigue failure under stochastic loading using artificial neural networks and Gaussian process regression.” International Journal of Fatigue 155 (2022): 106415. 🔗
  4. Allaka, M. Farid, M. Groper. “Mitigation of vertical motion in planing crafts for enhanced operationability in seaways using passive energy absorbers–A test of concept.” Ocean Engineering 264 (2022): 112434. 🔗
  5. M. Farid, D. Solav. “Data-driven sensor placement optimization for accurate and early prediction of stochastic complex systems.” Journal of Sound and Vibration (2022): 117317. 🔗
  6. M. Farid, “Dynamics of a hybrid vibro-impact oscillator: canonical formalism.” Nonlinear Dynamics 106.3 (2021): 1769-1787.🔗
  7. M. Farid, “Dynamics of a hybrid cubic vibro-impact oscillator and nonlinear energy sink.” Communications in Nonlinear Science and Numerical Simulation (2022): 106978.🔗
  8. M. Farid, Escape of a harmonically forced classical particle from an asymmetric potential well. Communications in Nonlinear Science and Numerical Simulation (2021): 105182.🔗
  9. M. Farid, O. V. Gendelman, Escape of a forced-damped particle from weakly nonlinear truncated potential well, Nonlinear Dynamics (2021), 103, 63-78.🔗
  10. M. Farid, O. V. Gendelman, and V. I. Babitsky, Dynamics of a hybrid vibro‐impact nonlinear energy sink, ZAMMJournal of Applied Mathematics and Mechanics/Zeitschrift für Angewandte Mathematik und Mechanik (2019): e201800341.🔗
  11. M. Farid, O. V. Gendelman, Response regimes in equivalent mechanical model of weakly nonlinear liquid sloshing, Nonlinear Dynamics (2018): 1-22.🔗
  12. M. Farid, O. V. Gendelman, Modelling, Exploration and Mitigation of Partially Liquid-Filled Tanks Using Various Passive Energy Absorbers, 7th International Conference on Nonlinear Vibrations, Localization and Energy Transfer (2019). 🔗
  13. M. Farid, O. V. Gendelman, Response regimes in equivalent mechanical model of strongly nonlinear liquid sloshing, International Journal of Non-Linear Mechanics 94 (2017): 146-159.🔗
  14. M. Farid, N. Levy, O. V. Gendelman, Vibration mitigation in partially liquid-filled vessels using passive energy absorbers, Journal of Sound and Vibration 406 (2017): 51-73.🔗
  15. M. Farid, O. V. Gendelman, Response Regimes in Equivalent Mechanical Model of Weakly Nonlinear Liquid Sloshing, The European Nonlinear Oscillations Conference (ENOC), 2017.🔗
  16. M. Farid, O. V. Gendelman, Internal Resonances and Dynamic Responses in Equivalent Mechanical Model of Partially Liquid-Filled Vessel, Procedia Engineering (2017): 199, 3440-3443.🔗
  17. M. Farid, O. V. Gendelman, Internal resonances and dynamic responses in equivalent mechanical model of partially liquid-filled vessel, Journal of Sound and Vibration 379 (2016): 191-212.🔗
  18. M. Farid, O. V. Gendelman, Tuned pendulum as nonlinear energy sink for broad energy range, Journal of Vibration and Control23.3 (2015): 373-388.🔗

Chapters in Books

  1. M. Farid, Data-Driven Method for Real-Time Prediction of Fatigue Failure Under Stochastic Loading, Advances in Nonlinear Dynamics, Springer, 2021.🔗
  2. M. Farid, O. V. Gendelman, Weakly Nonlinear Liquid Sloshing: Modelling and Exploration of Response Regimes, Nonlinear Dynamics of Structures, Systems, and Devices: Proceedings of the 1st International Nonlinear Dynamics Conference (Nodycon2019), Springer, vol.1, pp.187-195, 2019.🔗