Publications

In this paper, we introduce the Theory of Bottleneck Ordering, a mathematical framework that reveals the bottleneck structure of data…

We present a computational technique for low-frequency electromagnetic imaging in inhomogeneous media that provides superior three-dimensional resolution over existing techniques.…

Congestion control algorithms for data networks have been the subject of intense research for the last three decades. While most…

A system for determining the physical path of an object can map several candidate paths to a suitable path space…

Tensor decomposition is a prominent technique for analyzing multi-attribute data and is being increasingly used for data analysis in different…

We present a fast, large-scale algorithm for the simulation of electromagnetic waves (Maxwell’s equations) in three-dimensional inhomogeneous media. The algorithm…

The Combinatorial Multigrid (CMG) technique is a practical and adaptable solver and combinatorial preconditioner for solving certain classes of large,…

A multiresolution parser (MRP) can selectively extract one or more information units from a dataset based on the available processing…

Positive linear programming (PLP), also known as packing and covering linear programs, is an important class of problems frequently found…