About Inanc Senocak
Dr. Inanc Senocak is an Associate Professor with the Department of Mechanical and Biomedical Engineering. Before joining Boise State in 2007, Dr. Senocak served for two years as a postdoctoral research associate at the Los Alamos National Laboratory where he worked in the area of stochastic source inversion of atmospheric plumes. Prior to that appointment he worked as a postdoctoral fellow at the Center for Turbulence Research, which is jointly operated by Stanford University and NASA. In addition to teaching and advising students, Dr. Senocak conducts research in such areas as computational fluid dynamics (CFD), wind power forecasting, parallel computing, cavitation and multiphase flows, turbulence modeling, atmospheric transport and dispersion.
|2013 - Present||Adjunct Graduate Faculty, University of Idaho ‐ Department of Mechanical Engineering|
|2012||Associate Professor, Boise State University ‐ Department of Mechanical and Biomedical Engineering|
|2007 - 2012||Assistant Professor, Boise State University ‐ Department of Mechanical and Biomedical Engineering|
|2005 - 2007||Postdoctoral Research Associate, Los Alamos National Laboratory ‐ Decision Applications Divison|
|2003 - 2005||Postdoctoral Fellow, Research Associate, NASA Ames Research Center ‐ Center for Turbulence Research|
|1998 - 2003||Graduate Research Assistant, University of Florida ‐ Department of Mechanical & Aerospace Engineering|
Computational Fluid Dynamics, GPU Computing, Wind Forecasting, Atmospheric Transport and Dispersion, and Cavitating Flows
Honors and Awards
- 2011 - CAREER Award, National Science Foundation
- 2017 - Undergraduate Research Grant, $25,000 - NASA Idaho Space Grant Consortium
- ME571/471 Parallel Scientific Computing
- ENGR 330: Fluid Mechanics
- ENGR 320: Thermodynamics
|2002||Ph.D. - Aerospace Engineering, University of Florida|
|1998||B.S. - Mechanical Engineering, Middle East Technical University|
Accelerating Incompressible Flow Computations with a Pthreads-CUDA Implementation on Small-Footprint ...
The Journal of Supercomputing (2012)
Graphics processor units (GPU) that are originally designed for graphics rendering have emerged as massively-parallel "co-processors" to the central processing ...
Conference Proceedings (19)
A Cartesian Immersed Boundary Method to Simulate Stably Stratified Turbulent ...
54th AIAA Aerospace Sciences Meeting, AIAA SciTech (2016)
Turbulent katabatic (downslope) flow under stable stratification over a cool surface remains a poorly understood subject, which finds application in ...
Contribution to Book
A Novel Fix to Reduce the Log-Layer Mismatch in Wall-Modeled ...
ASME 2016 Fluids Engineering Division Summer Meeting collocated with the ASME 2016 Heat Transfer Summer Conference and the ASME 2016 14th International Conference on Nanochannels, Microchannels, and Minichannels (2016)
The log-layer mismatch arises when a Reynolds-averaged Navier-Stokes (RANS) model is blended with a large-eddy simulation (LES) model in a ...
A Unified Approach to Explain Thermo-Fluid Science Concepts Using Interactive ...
121st ASEE Annual Conference and Exposition: 360 Degrees of Engineering Education (2014)
Engineering students may possess misconceptions about topics in thermo-fluid sciences. These misconceptions, once formed, persist with students at the junior ...
The Search for Strategies to Prevent Persistent Misconceptions
120th ASEE Annual Conference and Exposition, June 23, 2013 - June 26, 2013, Atlanta, GA, United States (2013)
Research shows that it may be too late to repair misconceptions of fundamental science and engineering concepts by the time ...
Toward a GPU-Accelerated Immersed Boundary Method for Wind Forecasting Over ...
ASME 2012 Fluids Engineering Division Summer Meeting collocated with the ASME 2012 Heat Transfer Summer Conference and the ASME 2012 10th International Conference on Nanochannels, Microchannels, and M (2012)
A short-term wind power forecasting capability can be a valuable tool in the renewable energy industry to address load-balancing issues ...
GPU-Accelerated Large-Eddy Simulation of Turbulent Channel Flows
50th AIAA Aerospace Sciences Meeting including the New Horizons Forum and Aerospace Exposition (2012)
High performance computing clusters that are augmented with cost and power efficient graphics processing unit (GPU) provide new opportunities to ...
A Full-Depth Amalgamated Parallel 3D Geometric Multigrid Solver for GPU ...
9th AIAA Aerospace Sciences Meeting including the New Horizons Forum and Aerospace Exposition, 4-7 January 2011, Orlando, Florida (2011)
Numerical computations of incompressible flow equations with pressure-based algorithms necessitate the solution of an elliptic Poisson equation, for which multigrid ...
Scalability of Incompressible Flow Computations on Multi-GPU Clusters Using Dual-Level ...
49th AIAA Aerospace Sciences Meeting including the New Horizons Forum and Aerospace Exposition, 4-7 January 2011, Orlando, Florida (2011)
High performance computing using graphics processing units (GPUs) is gaining popularity in the scientific computing field, with many large compute ...