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Supervised Theses

PhD Theses

  1. Zhong Yi Wan, Physics-constrained machine learning strategies for turbulent flows and bubble dynamicsMIT, Center of Computational Science and Engineering, Dept. of Mechanical Engineering, June 2020[pdf]
  2. Mustafa Mohamad, Direct and adaptive quantification schemes for extreme event statistics in complex dynamical systemsMIT, Dept. of Mechanical Engineering, September 2017[pdf]
  3. Jocelyn Kluger, Synergistic design of a combined floating wind turbine - wave energy converterMIT, Dept. of Mechanical Engineering, June 2017[pdf]
  4. Han Kyul Joo, Probabilistic optimization of vibrational systems under stochastic excitation containing extreme forcing eventsMIT, Dept. of Mechanical Engineering, March 2017[pdf]

MSc Theses

  1. Rishabh Ishar, Estimation of precursors for extreme events using the adjoint based optimization approach, MIT, Dept. of Mechanical Engineering, February 2020. [pdf]
  2. Alexis-Tzianni Charalampopoulos, Machine learning non-local closures for turbulent anisotropic multiphase flows, MIT, Dept. of Mechanical Engineering, September 2019. [pdf]
  3. Stephen Carrol Guth, An exploration of data-driven techniques for predicting extreme events in intermittent dynamical systems, MIT, Dept. of Mechanical Engineering, September 2019. [pdf]
  4. Ioannis Dagres, Simulation-Guided Lattice Geometry Optimization of a Lightweight Metal Marine Propeller for Additive Manufacturing, MIT, Dept. of Mechanical Engineering, June 2019.
  5. Matt Washko, Risk Based Decision Making for the Deferment of US. Navy Submarine Maintenance, MIT, Dept. of Mechanical Engineering, June 2019.
  6. Udit Rathore, Quantification of extreme event statistics in ship design, MIT, Dept. of Mechanical Engineering, June 2019. [pdf]
  7. Kevin Wilson Stevens, Adaptive sequential sampling for extreme event statistics in ship design, MIT, Dept. of Mechanical Engineering, June 2018. [pdf]
  8. Sjaak de Vlaming, Analysis of consistently poor work estimates in U.S. submarine availabilitiesMIT, Dept. of Mechanical Engineering, June 2018.
  9. Jessica Olena, Design, evaluation, and validation of a naval ship structural health monitoring toolMIT, Dept. of Mechanical Engineering, June 2017. [pdf]
  10. Ben Thomson, Acoustically optimized propulsion systems using a cause-effect controllerMIT, Dept. of Mechanical Engineering, June 2017[pdf]
  11. Zhong Yi Wan, Reduced-space Gaussian process regression forecast for nonlinear dynamical systemsMIT, Center for Computational Engineering, May 2016. [pdf]
  12. Mustafa Mohamad, Probabilistic quantification of intermittently unstable dynamical systemsMIT, Dept. of Mechanical Engineering, September 2015[pdf]
  13. Saviz Mowlavi, Dynamically orthogonal reduced-order modeling of stochastic nonlinear water wavesMIT-EPFL, Dept. of Mechanical Engineering, February 2015[pdf]
  14. Han Kyul Joo, Single-degree-of-freedom energy harvesters with stochastic excitationMIT, Dept. of Mechanical Engineering, May 2014[pdf]
  15. Jocelyn Kluger, Nonlinear beam-based vibration energy harvesters and load cellsMIT, Dept. of Mechanical Engineering, January 2014[pdf]