Simulation and Visualization

Faculty Contact: Professor Song-Charng Kong

The simulation and visualization program investigates advanced computational and experimental techniques to understand and predict physical phenomena, as well as unique image rendering methods to enhance the interpretation of complex systems and data sets. This program develops and advances simulation and visualization capabilities and applies them in a societal context. One goal is to enable scenarios for products or processes to be altered and tested in a virtual environment before any physical models are created. Such capability will significantly reduce the time and cost associated with product development, while improving the accuracy, efficiency, and robustness of a product or manufacturing process.

Associated Faculty


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Sourabh Bhattacharya

Optimization, control theory, game theory, robotics, compressed sensing, and networked control systems
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Mark Bryden

Virtual Reality Applications Center
Development of the computational tools, algorithms, understandings, and strategies needed to analyze, understand, create, design, and build complex engineered, natural, or human system.
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Baskar Ganapathysubramanian

Computational Physics and Mechanics Laboratory
Computational physics, computational mechanics (fluid mechanics and heat transfer), stochastic analysis, uncertainty quantification and propagation, multiscale modeling, control and optimization of complex systems, materials-by-design, and parallel computing and inverse problems.
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Ted Heindel

Experimental Multiphase Flow Laboratory
The Experimental Multiphase Flow Laboratory investigates hydrodynamics and mixing in gas-liquid, gas-solid, and gas-liquid-solid systems using X-ray flow visualization techniques, as well as gas-liquid mass transfer.
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Ming-Chen Hsu

Fluid–Structure Interaction, Computational Mechanics, Wind Energy Applications, Biomedical Engineering, Isogeometric Analysis, Finite Element Analysis, Computational Fluid Dynamics
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Song-Charng Kong

Engine Laboratory
Clean Energy Technology, Biofuel Research
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Adarsh Krishnamurthy

Computer-Aided Design (CAD), Cardiovascular Biomechanics, Geometric Modeling, Computational Mechanics, Computer-Aided Manufacturing (CAM), Finite Element Analysis, GPU and Parallel Computing, Ultrasonic Non-Destructive Evaluation
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Jim Oliver

Design and manufacturing process automation using:, Geometric modeling, Computer graphics, Visualization, Simulation, Optimization, Virtual reality, Human computer interaction
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Mike Olsen

Experimental Fluid Mechanics Laboratory
Experimental Fluid Mechanics, Microelectromechanical Systems
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Rafael Radkowski

Iterative Closest Points for object identification and tracking; View-dependent rendering and depth cue simulation for CAD workstations; Probabilistic search methods for large-scale feature databases; Natural Feature Tracking in particular binary descriptors for rigid object tracking
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Soumik Sarkar

Diagnostics, prognostics & supervisory control of complex cyber-physical systems; Human-machine interaction; Data mining and visualization, machine learning, probabilistic graphical models; Stochastic time series analysis
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Shankar Subramaniam

Spray modeling, Modeling and simulation of gas-particle flows, granular flows, Combustion, Turbulent reactive flows, Mixing, Stochastic models, particle methods, Computational fluid dynamics
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Xinwei Wang

Micro/Nanoscale Thermal Science Laboratory
Thermal transport in micro/nanoscale materials (thin films, coatings, nanowires, and nanotubes): novel technique development for thermal conductivity measurement, the effect of material structure on its thermophysical properties
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Eliot Winer

Internet Technology for Large-Scale Collaborative Design, Medical Imaging, Analysis, and Visualization, Multidisciplinary Design Synthesis, Computer Aided Design and Graphics, Applications in Optimal Design, Scientific Visualization and Virtual Reality Modeling for Large-Scale Design.
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