Omar M. Knio

Omar Mohamad Knio

Edmund T. Pratt Jr. School Professor of Mechanical Engineering and Materials Science

My research interests encompass computational fluid mechanics, oceanic and atmospheric flows, turbulent flow, physical acoustics, chemically-reactive flow, energetic materials, microfluidic devices, dynamical systems, numerical methods, and asymptotic and stochastic techniques.

Appointments and Affiliations

  • Edmund T. Pratt Jr. School Professor of Mechanical Engineering and Materials Science
  • Adjunct Professor in the Department of Mechanical Engineering and Materials Science
  • Professor in the Department of Civil and Environmental Engineering

Contact Information

  • Office Location: 144 Hudson Hall, Box 90300, Durham, NC 27708
  • Office Phone: (919) 660-5344
  • Email Address: omar.knio@duke.edu

Education

  • Ph.D. Massachusetts Institute of Technology, 1990

Research Interests

Computational fluid mechanics, oceanic and atmospheric flows, turbulent flow, physical acoustics, chemically-reactive flow, energetic materials, microfluidic devices, dynamical systems, numerical methods, and asymptotic and stochastic techniques.

Specialties

Computational Mechanics
Fluid Mechanics
Acoustics

Representative Publications

  • Toye, H; Zhan, P; Gopalakrishnan, G; Kartadikaria, AR; Huang, H; Knio, O; Hoteit, I, Ensemble data assimilation in the Red Sea: sensitivity to ensemble selection and atmospheric forcing, Ocean Dynamics, vol 67 no. 7 (2017), pp. 915-933 [10.1007/s10236-017-1064-1] [abs].
  • Siripatana, A; Mayo, T; Sraj, I; Knio, O; Dawson, C; Le Maitre, O; Hoteit, I, Assessing an ensemble Kalman filter inference of Manning’s n coefficient of an idealized tidal inlet against a polynomial chaos-based MCMC, Ocean Dynamics (2017), pp. 1-28 [10.1007/s10236-017-1074-z] [abs].
  • Vohra, M; Huan, X; Weihs, TP; Knio, OM, Design analysis for optimal calibration of diffusivity in reactive multilayers, Combustion Theory & Modelling (2017), pp. 1-27 [10.1080/13647830.2017.1329938] [abs].
  • Mycek, P; Contreras, A; Le Maître, O; Sargsyan, K; Rizzi, F; Morris, K; Safta, C; Debusschere, B; Knio, O, A resilient domain decomposition polynomial chaos solver for uncertain elliptic PDEs, Computer Physics Communications (2017) [10.1016/j.cpc.2017.02.015] [abs].
  • Morris, K; Rizzi, F; Cook, B; Mycek, P; LeMaitre, O; Knio, OM; Sargsyan, K; Dahlgren, K; Debusschere, BJ, Performance scaling variability and energy analysis for a resilient ULFM-based PDE solver, Proceedings of ScalA 2016: 7th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems - Held in conjunction with SC16: The International Conference for High Performance Computing, Networking, Storage and Analysis (2017), pp. 41-48 [10.1109/ScalA.2016.010] [abs].