Publications

  1. N.J. Nair and A. Goza. Fluid-structure interaction of a bio-inspired passively deployable flap for lift enhancement. Physical Review Fluids (accepted). [arxiv link]

  2. N.J. Nair and A. Goza. A strongly coupled immersed boundary method for fluid-structure interaction that mimics the efficiency of stationary body methods. Journal of Computational Physics, 110897, 2022. [link] [arxiv link]

  3. N.J. Nair, Z. Flynn and A. Goza. Numerical Study of Multiple Bio-Inspired Torsionally Hinged Flaps for Passive Flow Control. Fluids, 7.2, 44, 2022. [link]

  4. N.J. Nair and A. Goza. Leveraging reduced-order models for state estimation using deep learning. Journal of Fluid Mechanics, 897, 2020. [link] [arxiv link]

  5. N.J. Nair and M. Balajewicz. Transported snapshot model order reduction approach for parametric, steady state fluid flows containing parameter dependent shocks. International Journal for Numerical Methods in Engineering, 117.12, 1234-1262, 2019. [link] [arxiv link]

  6. N.J. Nair. Transported snapshot model order reduction approach for parametric, steady state fluid flows containing parameter dependent shocks. M.S. Thesis, University of Illinois at Urbana-Champaign, 2018. [link]

  7. N. Jayaprasad, P. Sadani, M. Bhalerao, A.S. Sengupta and B. Majumder. Exploring viscous damping in undergraduate Physics laboratory using electromagnetically coupled oscillators. arxiv preprint arXiv:1311.7489, 2013. [arxiv link]

Conference Talks

Invited

  1. N.J. Nair and A. Goza. Active flow control of a covert-inspired deployable flap strategy using reinforcement learning. USNC/TAM, 2022 (accepted).

  2. A. Goza and N.J. Nair. Effects of flap-vortex interactions on the lift of an airfoil mounted with a passively deployable flap. DisCoVor, EPFL, 2022.

  3. N.J. Nair and M. Balajewicz. Transported snapshot model order reduction approach for parametric, steady-state fluid flows containing parameter dependent shocks. Invited talk in a mini-symposium at SIAM Conference on Computational Science and Engineering, 2019. [link]

Contributed

  1. A. Othman, N.J. Nair, A. Sandeep, A. Goza, A. Wissa. Numerical and experimental study of a covert-inspired passively deployable flap for aerodynamic lift enhancement. AIAA Aviation, 2022. (Accepted).

  2. N.J. Nair and A. Goza. Effects of torsional stiffness and inertia on a passively deployable flap for aerodynamic lift enhancement. AIAA Scitech Forum, 2022. [link]

  3. N.J. Nair and A. Goza. Approaching the efficiency of stationary-body methods in a strongly coupled immersed boundary framework for fluid-structure interaction. APS DFD, 2021. [link]

  4. N.J. Nair and A. Goza. Numerical study of a passively deployable flap for aerodynamic flow control. APS DFD, 2020. [link]

  5. N.J. Nair and A. Goza. Integrating sensor data into reduced-order models with deep learning. APS DFD, 2019. [link]

  6. N.J. Nair and M. Balajewicz. Physics based interpolation for steady parametric partial differential equations. American Physical Society, Division of Fluid Dynamics, 2017. [link]

  7. N.J. Nair and U. Shah. A simple computational tool for studying acoustic waves in nonlinear medium. ASME IDETC and CIEC, 2017. [link]

  8. N. Jayaprasad and V. Narayanan. Effect of viscosity stratification on stability of axisymmetric boundary layer. APS DFD, 2015. [link]