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Andrew
Rau-Chaplin
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Welcome. I'm a professor in the Faculty of Computer Science at Dalhousie University where I teach courses in parallel computing, algorithms, and data structures.  I am also the co-founder of the cgmLab (www.cgmLab.org) a distributed research lab which focuses on the development of parallel applications. My graduate students, collaborators, and I, pursue research projects that explore the application of parallel computing to data and computationally intensive problems. Our work is grounded in an algorithmic perspective, but we are committed to addressing the systems issues inherent in building working parallel applications, and performing systematic experimental evaluations.

Parallel Data Mining and OLAP. As the information age explodes with data, corporate and scientific data bases swell to previously unimagined sizes. This project investigates parallel methods to aid in data analysis and exploration.
Mass Customization. Moving our industrial production model from Mass Production to Mass Customization requires new tools for Design Generation and Customization. In this project we are exploring the use of geometric design description languages for mass customization in the context of Architecture.
Computational Bioinformatics. DNA and Protein sequence analysis problems are often both computationally and data intensive.  This project focuses on working with Biologists and Biochemists on the design and implementation of parallel tools for fundamental problems in DNA and Protein sequence analysis and phylogeny.
Parallel Geometric Algorithms. Geometric problems abound in applications from computational biology to geographic information systems. This project focuses on the design and implementation of parallel CGM algorithms for fundamental geometric/spatial operations and data structures.
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