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  • Sivaram Ambikasaran
Sivaram Ambikasaran

Sivaram Ambikasaran

Assistant Professor

Numerical Linear Algebra Approximation Theory Computational Statistics

Dr. Sivaram Ambikasaran’s broad area of reseach is in computational and applied mathematics with a strong focus on constructing highly accurate fast algorithms leveraging approximation theory and numerical linear algebra. To be specific, he works on fast low-rank factorizations, fast multipole method and direct solvers for structured matrices with application to elliptic PDEs, integral equations, quadratures, computational statistics, inverse problems, data assimilation, filtering and other related areas of computational science.

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Founded in August 2017, with a vision to become an internationally renowned centre for data science research, where long-standing fundamental research problems, cutting across disciplines, are targeted and solved.

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