Related work in technical communications, multimedia applications development and the social and economic context of network communications are complementary aspects. This is part of a wide-ranging research interest in deep computing that includes algorithmic research on adaptive methods for partial differential equations, parallel scientific computation, automated modeling, multiscale computational techniques, and visual technologies. Rensselaer also is exploring the use of data modeling and data-mining techniques in areas such as bioinformatics . Relational database technologies have been developed at Rensselaer, and software systems have been successfully deployed through a commercial spin-off company. Software engineering and programming are vital to complex engineering systems and unique template-based methods are under development at Rensselaer.
Information technology is everywhere.
It has revolutionized every industry on the planet. Rensselaer provides an ideal environment for information technology research. The university has been a pioneer in collaborative, technology-enabled learning. It offers the multidisciplinary brainpower of prestigious professors and top students, partnerships with leading corporations and government entities, and access to its vibrant technology park and new business incubator.