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Research

The School of Computational Science & Engineering focuses on research related to high performance  and grid computing, modeling and simulation, large-scale data analytics and systems, visualization, numeric and geometric methods, and combinatorial optimization.

Computational Science & Engineering Core Areas

Data AnalyticsData Analytics, Machine Learning, and Visualization

The rapid growth of the Internet, the widespread deployment of sensors and scientific advances such as the mapping of the human genome have resulted in a tsunami of data. In many fields the challenge has shifted from collecting a sufficient amount of data to understanding and gaining insight from the massive amount of data that are available.

High Performance ComputingHigh Performance Computing

Many computational problems in science and engineering require the most powerful computers available today. Research in High Performance Computing (HPC) spans algorithms, software, tools and applications that exploit modern HPC platforms ranging from multicore/manycore machine architectures to graphics processing units to supercomputers.

Modeling and SimulationModeling and Simulation

Modeling and simulation has become indispensable in many fields to analyze systems and to design new products. The computation-intensive nature of many simulations requires the exploitation of parallel computing platforms.