Associate Professor of Electrical Engineering and Computer Science

Department of Electrical Engineering and Computer Science

MIT Room:
32-D662

Large-Scale Machine Learning

Optimization (Convex, Nonconvex)

Matrix Analysis

Algorithms and Applications in Statistics, Machine Learning, Data Mining and Scientific Computing

Geometric Optimization

Optimization (Convex, Nonconvex)

Matrix Analysis

Algorithms and Applications in Statistics, Machine Learning, Data Mining and Scientific Computing

Geometric Optimization

Dr. Sra's esearch focuses on mathematics and computation for data science. In particular, he designs, analyzes, and implements algorithms and models for large-scale problems in machine learning, statistics, data analysis, data mining, and scientific computing. My mathematical tools are drawn from: convex optimization, nonlinear programming, statistics, computer science, signal processing, differential geometry, {convex, functional, harmonic, matrix, and numerical} analysis. Sra's work also involves special functions, experimental mathematics, polynomials, noncommutative algebra, metric geometry, quantum information theory, operator inequalities, optimization under uncertainty (robust, stochastic), distributed and parallel computation, economics, time-series analysis, healthcare informatics, and more.