Computational Geometry

Current research in computational geometry has two themes. The first concentrates on algorithms for the reconstruction of smooth geometric objects from their samples. Problems of interest include characterizing the conditions on sampling density, which allow a curve to be reconstructed from its samples. The reconstruction is homeomorphic and sufficiently close to the original and the algorithms developed to achieve the reconstruction.

Database Systems

This research area deals with the efficient and effective methods for storing, querying and maintaining data from possibly disparate and heterogeneous resources. Data is used in many different applications from scientific data sets, sensor data, images, video and audio to hypertext documents, and data on stock market behavior. Research focuses on methods for caching data, querying large and distributed databases and supporting applications such as computer-aided design and manufacturing and collaborative engineering.

Computational Cognitive Modeling

At the CogWorks Lab we are interested in basic and applied research in the area of immediate interactive behavior. On the basic side, we are working to understand the interplay of cognition, perception, and action in routine interactive behavior. These interests entail understanding top-down versus bottom-up control of behavior, the role of implicit versus explicit knowledge, internal versus external representations, and knowledge in-the-head versus knowledge in-the-world.


Bioinformatics is the science of managing, retrieving, analyzing, and interpreting biological data. Research is being carried out on topics such as sequence assembly, protein and RNA structure prediction, sequence/structure/motifs, comparative genomics, and the gene regulatory networks. Research also spans emerging areas like microarray data analysis, protein design, high dimensional indexing, database support, information integration, and data mining.


Subscribe to Science at Rensselaer RSS