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Inanc Senocak

Associate Professor
William Kepler Whiteford Faculty Fellow
Senocak Research Group Mechanical Engineering & Materials Science

overview

Inanc Senocak (E-nahnch Sheh-no-chak) is an associate professor of mechanical engineering at the University of Pittsburgh. He obtained his PhD degree in aerospace engineering from the University of Florida and his B.Sc. degree in mechanical engineering from the Middle East Technical University in Ankara, Turkey. He worked as a postdoctoral researcher at the Center for Turbulence Research, jointly operated by Stanford University and NASA Ames Research Center, and at the Los Alamos National Laboratory prior to starting his faculty career at Boise State University in 2007. He is a fellow of the American Society of Mechanical Engineers (ASME), an associate fellow of the American Institute of Aeronautics and Astronautics (AIAA), and a past recipient of a CAREER Award from the National Science Foundation.

about

(2018) Fellow, American Society of Mechanical Engineers.

(2018) Associate Fellow, American Institute of Aeronautics and Astronautics.

(2011) NSF CAREER Award.

(2003) Postdoctoral Fellow, Center for Turbulence Research, Stanford University/ NASA Ames Research Center.

PhD, Aerospace Engineering, University of Florida, 1998 - 2002

BS, Mechanical Engineering, Middle East Technical University, 1994 - 1998

Basir, S., & Senocak, I. (2022). Physics and Equality Constrained Artificial Neural Networks: Application to Forward and Inverse Problems with Multi-fidelity Data Fusion. Journal of Computational Physics, 463, 111301-111316.Elsevier BV. doi: 10.1016/j.jcp.2022.111301.

Xiao, C.N., & Senocak, I. (2022). Impact of stratification mechanisms on turbulent characteristics of stable open-channel flows. Journal of the Atmospheric Sciences, 79(1), 205-225.American Meteorological Society. doi: 10.1175/JAS-D-21-0063.1.

Hasbestan, J.J., Xiao, C.N., & Senocak, I. (2020). PittPack: An open-source Poisson's equation solver for extreme-scale computing with accelerators. COMPUTER PHYSICS COMMUNICATIONS, 254, 107272.Elsevier BV. doi: 10.1016/j.cpc.2020.107272.

Senocak, I., & Xiao, C.N. (2020). Linear Instability of Stably Stratified Down-Slope Flows. In Modeling and Simulation of Turbulent Mixing and Reaction, Livescu, D., Nouri, A., Battaglia, F., & Givi, P. (Eds.). (pp. 47-68).Springer Singapore. doi: 10.1007/978-981-15-2643-5_3.

Xiao, C.N., & Senocak, I. (2020). Linear stability of katabatic Prandtl slope flows with ambient wind forcing. JOURNAL OF FLUID MECHANICS, 886.Cambridge University Press (CUP). doi: 10.1017/jfm.2019.1047.

Xiao, C.N., & Senocak, I. (2020). Linear stability of katabatic Prandtl slope flows with ambient wind forcing. JOURNAL OF FLUID MECHANICS, 886, R1. doi: 10.1017/jfm.2019.1047.

Xiao, C.N., & Senocak, I. (2020). Stability of the anabatic Prandtl slope flow in a stably stratified medium. JOURNAL OF FLUID MECHANICS, 885, A13.Cambridge University Press (CUP). doi: 10.1017/jfm.2019.981.

DeLeon, R., Umphrey, C., & Senocak, I. (2019). Turbulent Inflow Generation Through Buoyancy Perturbations with Colored Noise. AIAA JOURNAL, 57(2), 532-542.American Institute of Aeronautics and Astronautics (AIAA). doi: 10.2514/1.J057245.

Xiao, C.N., & Senocak, I. (2019). Stability of the Prandtl model for katabatic slope flows. JOURNAL OF FLUID MECHANICS, 865, R2.Cambridge University Press (CUP). doi: 10.1017/jfm.2019.132.

Hasbestan, J.J., & Senocak, I. (2018). PittPACK: Open-source fft-based poisson's equation solver for computing with accelerators. In ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE), 7. doi: 10.1115/IMECE201887697.

Hasbestan, J.J., & Senocak, I. (2018). rebl-AMR : A Parallel Red-Black Tree Adaptive Mesh Refinement Software for Complex Geometry Flow Simulations. In 2018 Fluid Dynamics Conference.American Institute of Aeronautics and Astronautics. doi: 10.2514/6.2018-3556.

J. Hasbestan, J., & Senocak, I. (2018). PittPack: Open-Source FFT-Based Poisson’s Equation Solver for Computing With Accelerators. In Volume 7: Fluids Engineering.American Society of Mechanical Engineers. doi: 10.1115/imece2018-87697.

Sandusky, M., DeLeon, R., & Senocak, I. (2018). Large-Eddy Simulation of Offshore Wind Farms for Power Prediction. In Volume 6B: Energy, 6B-2018.American Society of Mechanical Engineers. doi: 10.1115/imece2018-87965.

DeLeon, R., & Senocak, I. (2017). Turbulent inflow generation for large-eddy simulation of incompressible flows through buoyancy perturbations. In 23rd AIAA Computational Fluid Dynamics Conference, 2017.American Institute of Aeronautics and Astronautics. doi: 10.2514/6.2017-3294.

Hasbestan, J.J., & Senocak, I. (2017). A parallel adaptive mesh refinement software for complex geometry flow simulations. In 23rd AIAA Computational Fluid Dynamics Conference, 2017.American Institute of Aeronautics and Astronautics. doi: 10.2514/6.2017-3301.

Shrestha, A., & Senocak, I. (2017). Multi-level parallel algorithm to solve the eikonal equation with the fast sweeping method. In 23rd AIAA Computational Fluid Dynamics Conference, 2017.American Institute of Aeronautics and Astronautics. doi: 10.2514/6.2017-4507.

DeLeon, R., & Senocak, I. (2016). A novel fix to reduce the log-layer mismatch in wall-modeled large-eddy simulations of turbulent channel flow. In ASME 2016 Fluids Engineering Division Summer Meeting, 1A-2016.American Society of Mechanical Engineers.Washington, DC. doi: 10.1115/FEDSM2016-7698.

Umphrey, C., & Senocak, I. (2016). Turbulent inflow generation for the large-eddy simulation technique through globally neutral buoyancy perturbations. In 54th AIAA Aerospace Sciences Meeting, 0.American Institute of Aeronautics and Astronautics. doi: 10.2514/6.2016-0340.

Umphrey, C., DeLeon, R., & Senocak, I. (2016). A cartesian immersed boundary method to simulate stably stratified turbulent flows. In 54th AIAA Aerospace Sciences Meeting, 0.American Institute of Aeronautics and Astronautics. doi: 10.2514/6.2016-0603.

Senocak, I., Deleon, R., Sandusky, M., & Wade, D. (2015). A geometric preprocessor for immersed boundary method calculations. In ASME/JSME/KSME 2015 Joint Fluids Engineering Conference, AJKFluids 2015, 1. doi: 10.1115/AJKFluids20157678.

Senocak, I., Sandusky, M., DeLeon, R., & Wade, D. (2015). A Geometric Preprocessor for Immersed Boundary Method Calculations. In Volume 1: Symposia.American Society of Mechanical Engineers. doi: 10.1115/ajkfluids2015-7678.

Phillips, T.B., Senocak, I., Gentle, J.P., Myers, K.S., & Anderson, P. (2014). Investigation of a dynamic power line rating concept for improved wind energy integration over complex terrain. In ASME 2014 4th Joint US-European Fluids Engineering Division Summer Meeting, 1D.American Society of Mechanical Engineers.Chicago, Illinois. doi: 10.1115/FEDSM2014-21377.

Webb, J., & Senocak, I. (2014). A unified approach to explain thermo-fluid science concepts using interactive molecular-level simulations. In ASEE Annual Conference and Exposition, Conference Proceedings.Indianapolis, Indiana.

Yang, D., & Senocak, I. (2013). The search for strategies to prevent persistent misconceptions. In ASEE Annual Conference and Exposition, Conference Proceedings.Atlanta, GA.

DeLeon, R., & Senocak, I. (2012). GPU-accelerated large-eddy simulation of turbulent channel flows. In 50th AIAA Aerospace Sciences Meeting Including the New Horizons Forum and Aerospace Exposition.American Institute of Aeronautics and Astronautics. doi: 10.2514/6.2012-722.

DeLeon, R., Felzien, K., & Senocak, I. (2012). Toward a gpu-accelerated immersed boundary method for wind forecasting over complex terrain. In ASME 2012 Fluids Engineering Division Summer Meeting, 1(PARTS A AND B), (pp. 1385-1394).American Society of Mechanical Engineers.Rio Grande, Puerto Rico, USA. doi: 10.1115/FEDSM2012-72145.

Jacobsen, D.A., & Senocak, I. (2011). A full-depth amalgamated parallel 3D geometric multigrid solver for gpu clusters. In 49th AIAA Aerospace Sciences Meeting Including the New Horizons Forum and Aerospace Exposition.American Institute of Aeronautics and Astronautics.Orlando, FL. doi: 10.2514/6.2011-946.

Jacobsen, D.A., & Senocak, I. (2011). Scalability of incompressible flow computations on multi-gpu clusters using dual-level and tri-level parallelism. In 49th AIAA Aerospace Sciences Meeting Including the New Horizons Forum and Aerospace Exposition.American Institute of Aeronautics and Astronautics. doi: 10.2514/6.2011-947.

Jacobsen, D.A., Thibault, J.C., & Senocak, I. (2010). An MPI-CUDA implementation for massively parallel incompressible flow computations on multi-GPU clusters. In 48th AIAA Aerospace Sciences Meeting Including the New Horizons Forum and Aerospace Exposition.American Institute of Aeronautics and Astronautics.Orlando, FL. doi: 10.2514/6.2010-522.

Senocak, I. (2010). Application of a Bayesian inference method to reconstruct short-range atmospheric dispersion events. In AIP Conference Proceedings, 1305, (pp. 250-257).AIP. doi: 10.1063/1.3573624.

Thibault, J.C., & Senocak, I. (2009). CUDA implementation of a Navier-Stokes solver on multi- GPU desktop platforms for incompressible flows. In 47th AIAA Aerospace Sciences Meeting including the New Horizons Forum and Aerospace Exposition.American Institute of Aeronautics and Astronautics. doi: 10.2514/6.2009-758.

Senocak, I., & Shyy, W. (2003). Computations of unsteady cavitation with a pressure-based method. In Proceedings of the ASME/JSME Joint Fluids Engineering Conference, 1 B, (p. 1399).ASMEDC. doi: 10.1115/FEDSM2003-45009.

Wu, J., Utturkar, Y., Senocak, I., Shyy, W., & Arakere, N. (2003). Impact of turbulence and compressibility modeling on three-dimensional cavitating flow computations. In 33rd AIAA Fluid Dynamics Conference and Exhibit.American Institute of Aeronautics and Astronautics. doi: 10.2514/6.2003-4264.

Senocak, I., & Shyy, W. (2002). Evaluation of cavitation models for Navier-Stokes computations. In ASME 2002 Joint U.S.-European Fluids Engineering Division Conference, 257(1 A), (pp. 395-401).ASMEDC.Montreal, Quebec, Canada. doi: 10.1115/FEDSM2002-31011.

Vaidyanathan, R., Senocak, I., Wu, J., & Shyy, W. (2002). Sensitivity evaluation of a transport-based turbulent cavitation model. In 32nd AIAA Fluid Dynamics Conference and Exhibit, 125(3), (pp. 447-458).ASME International.St. Louis, Missouri. doi: 10.2514/6.2002-3184.

Vaidyanathan, R., Senocak, I., Wu, J., & Shyy, W. (2002). Sensitivity Evaluation of a Transport-Based Turbulent Cavitation Model. In 32nd AIAA Fluid Dynamics Conference and Exhibit.American Institute of Aeronautics and Astronautics. doi: 10.2514/6.2002-3184.

Senocak, I., & Shyy, W. (2001). A pressure-based method for turbulent cavitating flow computations. In 15th AIAA Computational Fluid Dynamics Conference, 176(2), (pp. 363-383).Elsevier BV. doi: 10.2514/6.2001-2907.

SENOCAK, I., & SHYY, W.E.I. (2001). A Pressure-Based Method for Turbulent Cavitating Flow Computations. In 15th AIAA Computational Fluid Dynamics Conference.American Institute of Aeronautics and Astronautics. doi: 10.2514/6.2001-2907.

Research interests

Atmospheric transport and...
Cavitation
Computational fluid dynamics
Computational geometry
Parallel computing
Turbulence
Wind energy