Researcher

Anuj Srivastava

Anuj Srivastava is a statistician whose work on nonlinear manifolds and shape analysis has contributed methods for pattern recognition and statistical computer vision. He earned an electronics engineering degree at IIT-BHU in 1990 and master's and doctoral degrees in electrical engineering at Washington University in 1993 and 1996. He coauthored a 2015 paper on elastic shape analysis of spherical surfaces and, with Eric P. Klassen, the 2016 textbook Functional and Shape Data Analysis. He is a full professor in applied mathematics and statistics at Johns Hopkins University and is affiliated with its Data Science and Artificial Intelligence Institute.

Works
487
Citations
15,668
h-index
54

Publication numbers from OpenAlex, as of 15 October 2026.

Timeline

  1. 1990–1996

    Engineering degrees

    He earns a B.Tech in Electronics Engineering from IIT-BHU in 1990 and M.S. and Ph.D. degrees in electrical engineering from Washington University in St. Louis in 1993 and 1996.

  2. 1997

    Joining Florida State

    He joins Florida State University's Department of Statistics as an assistant professor in 1997.

  3. 2003–2007

    Promotion at Florida State

    He serves as an associate professor from 2003 to 2006 and becomes a full professor in 2007.

  4. 2014

    A professorship and IAPR fellowship

    Florida State recognizes him as a Distinguished Research Professor in 2014. IAPR elects him a Fellow in 2014 for contributions to statistical techniques on nonlinear manifolds for applications in pattern recognition and shape analysis of curves and surfaces.

  5. 2015

    A framework for surface shapes

    In 2015, he and Alice Barbara Tumpach, Hassen Drira, and Mohamed Daoudi describe a framework for computing geodesic paths in shape spaces of spherical surfaces with an elastic Riemannian metric. His research follows Grenander's school of pattern theory.

  6. 2016

    A shape-analysis textbook

    He and Eric P. Klassen publish Functional and Shape Data Analysis in 2016, a textbook about defining and comparing shapes through statistical modeling and inference. His areas include statistical computer vision and functional data analysis.

  7. 2024

    An IIT-BHU alumni award

    He receives the Distinguished Alumnus Award from IIT-BHU in October 2024.

  8. Since January 2026

    Professor at Johns Hopkins

    He joins the faculty of the Applied Mathematics and Statistics Department at Johns Hopkins University as a full professor in January 2026. He is also affiliated with the Data Science and Artificial Intelligence Institute.

Sources and credits

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  1. Website of Anuj Srivastava anujsrivastava.com. Checked 15 October 2026.
  2. IAPR Fellows for 2014 – International Association for Pattern Recognition iapr.org. Checked 15 October 2026.
  3. Gauge Invariant Framework for Shape Analysis of Surfaces arxiv.org. Checked 15 October 2026.
  4. Research Interests – Website of Anuj Srivastava anujsrivastava.com. Checked 15 October 2026.
  5. Functional and Shape Data Analysis - Anuj Srivastava, Eric P. Klassen - Google Books books.google.com. Checked 15 October 2026.
  6. News – Website of Anuj Srivastava anujsrivastava.com. Checked 15 October 2026.