On sabbatical leave.

Data structure and algorithm visualization using highway data and online maps. Parallel scientific computation. Dynamic load balancing for adaptive computations in heterogeneous, hierarchical (including hyperthreaded and multi-core), non-dedicated and transient computational environments. Distributed data structures. Tools to facilitate parallel processing. Computer Science education, particularly in relation to parallel processing and curricular issues in liberal arts institutions.

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Learn more about Map-based Educational Tools for Algorithm Learning (METAL) and the Highway Data Examiner featuring interactive algorithm visualizations.