Research Overview
Computational science (CPS) is a multi- and inter-disciplinary field, using advanced computing techniques, data analysis, and predictive algorithms to understand and solve complex problems. The predictive capability of computational modeling complements recent advances in techniques and methodologies for experimentation, field observation, and thereotical analysis. Our CPS faculty members have diverse research interests as shown in the following areas:
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Hybrid and Nonlinear Optimization, High-Performance and High-Throughput Computing
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Computational Biophysics, Viral Capsid Assembly, and Molecular Motor Modeling
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Space Exploration Technology and Wing Modeling Applications
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Computational Bioscience and Infectious Disease Applications
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Parameter Estimation and Nonlinear Least Squares Problems
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Computational Finance and Economics, Statistical Computing
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Geoscience and Subsurface Modeling Applications
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Computational Chemistry and Crystallography
To predict the future of CPS, please read the .
Research conferences, workshops, and seminars are regularly being organized locally in El Paso area, such as:
- in April and November
- Seminars by CPS faculty or invited speakers of the
- Lectures and talks by CPS alumni: Dr. Sosa, Anibal (PhD, CPS 2012), Fulbright Scholar, invited by Cyber-ShARE
- MS thesis defense, PhD dessertation proposal and defense, and invited talks in research seminar courses (e.g., CPS 5195).