Scientific Computing refers to the application of computers to
scientific problems, from astrophysics to zoology.The mode of application can be system modelling, data analysis and mining, or visualization.
The focus can be on developing new computational techniques, such as parallel algorithms or new data mining ideas, or on the novel application of existing techniques to new scientific problems.
Faculty affiliated with Scientific Computing in the Bren School are listed below.
A number of our faculty are focussed primarily on bio-informatics, so
in addition to the links below, more information can be found about
bio-informatics at UCI by checking out IBAM and IGB.Non-Biological Applications
» Wayne Hayes
- Astronomy applications
- Numerical models of galaxies and planetary systems
- Numerical solution of ordinary differential equations
- Numerical analysis
- Dynamical systems and chaos
- Data analysis and mining of astronomical datasets
- Critical graphs of Ramsey numbers» David van Dyk
- Astro-statistics
- Member of the California-Harvard AstroStastics Collaboration (CHASC)» Padhraic Smyth
- Analysis of remote-sensing image data over time
- Statistical modeling of climate-related phenomena
- Development of data mining and pattern recognition algorithms for large datasets
- Datasets include atmospheric, ocean, and earth science data
- Text mining
- Machine learning algorithms for subject-author classification» Pierre Baldi
- Statistical machine learning and data mining for large datasets
- Datasets include: image and video data, EEG and other brain data, software data, and game data
- Sensor networks» Max Welling
- Machine learning algorithms and data mining for large datasets» Gopi M.
- Graphics and Visualization with specialization in geometry, meshing, and data compression.» Aditi Majumder
- Projection systems for life-size high-resolution displays used for training, simulation, and visualization» Isaac D. Scherson
- Architecture and operating systems for parallel and distributed computingBiological Applications:
» Eric Mjolsness
- Computable Plant
- Cellular signalling pathways (databases + modelling)
- Cell simulation
- Galaxy morphology
- Multiscale modeling languages» Pierre Baldi
- Director of Institute for Genomics and Bio-informatics (IGB)
- Systems biology
- Comparative genomics
- Statistical machine learning and datamining of large datasets (sequence, structure, NMR, X-ray, DNA microarrays, protein arrays, etc)
- Protein structure
- Molecular modelling
- Chemoinformatics» Rick Lathrop
- Protein structure + prediction
Professor of informatics Crista Lopes (left) and Steven Cramer, professor of neurology, are designing a self-contained communications platform to facilitate in-home monitoring for patients with spinal cord injuries. 