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Ciprian Foias grad student 1986 Indiana University
 (A uniform spectral estimate for the linearized Navier-Stokes operators and their Galerkin approximations)


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Yeo-Jin Chung grad student 2002 UC Irvine
Evelyn M. Lunasin grad student 2007 UC Irvine
Yanping Cao grad student 2008 UC Irvine
Adam Larios grad student 2011 UC Irvine
Aseel Farhat grad student 2012 UC Irvine
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Gesho M, Olson E, Titi ES. (2016) A Computational Study of a Data Assimilation Algorithm for the Two-dimensional Navier-Stokes Equations Communications in Computational Physics. 19: 1094-1110
Albanez DAF, Lopes HJN, Titi ES. (2016) Continuous data assimilation for the three-dimensional Navier-Stokes-α model Asymptotic Analysis. 97: 139-164
Li J, Titi ES, Xin Z. (2016) On the uniqueness of weak solutions to the Ericksen–Leslie liquid crystal model in ℝ2 Mathematical Models and Methods in Applied Sciences
Markowich PA, Titi ES, Trabelsi S. (2016) Continuous data assimilation for the three-dimensional Brinkman-Forchheimer-extended Darcy model Nonlinearity. 29: 1292-1328
Farhat A, Lunasin E, Titi ES. (2016) Data assimilation algorithm for 3D Bénard convection in porous media employing only temperature measurements Journal of Mathematical Analysis and Applications. 438: 492-506
Li J, Titi ES. (2016) Global Well-Posedness of the 2D Boussinesq Equations with Vertical Dissipation Archive For Rational Mechanics and Analysis. 220: 983-1001
Farhat A, Lunasin E, Titi ES. (2016) Abridged Continuous Data Assimilation for the 2D Navier–Stokes Equations Utilizing Measurements of Only One Component of the Velocity Field Journal of Mathematical Fluid Mechanics. 18: 1-23
Guo Y, Simon K, Titi ES. (2015) Global well-posedness of a system of nonlinearly coupled KdV equations of Majda and Biello Communications in Mathematical Sciences. 13: 1261-1288
Abu Hamed M, Guo Y, Titi ES. (2015) Inertial manifolds for certain subgrid-scale $\alpha$ models of turbulence Siam Journal On Applied Dynamical Systems. 14: 1308-1325
Bessaih H, Olson E, Titi ES. (2015) Continuous data assimilation with stochastically noisy data Nonlinearity. 28: 723-759
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