PeopleofSuperintelligence

Researcher

Baba C. Vemuri

Also known as Baba C Vemuri, B C Vemuri, B Vemuri, B. C. Vemuri, B. Vemuri, B.C. Vemuri

As of October 2026, Baba Vemuri is a Distinguished Professor at the University of Florida whose work connects geometry, computer vision, and medical imaging. He earned a bachelor's degree in electronics and communication engineering at NIT Trichy in 1979 and a PhD from the University of Texas at Austin in 1987, then helped introduce geometric active contours for computer vision. He became an IEEE Fellow in 2001 and an ACM Fellow in 2009, and chaired the program of ICCV 2007. In 2014, he coauthored iPGA for movement-disorder classification and received the IEEE Computer Society Technical Achievement Award in 2017. His 2025 work applies Stein shrinkage to batch normalization under adversarial attacks.

Works
336
Citations
13,119
h-index
49
Badges

Publication numbers from OpenAlex, as of 18 October 2026.

Timeline

  1. 1979–1987

    Engineering degrees in India and Texas

    He earns a BE in electronics and communication engineering from NIT Trichy in 1979, then completes a PhD in electrical and computer engineering at the University of Texas at Austin in 1987.

  2. 1990s

    Geometric active contours

    With Ravi Malladi and James Sethian, he introduces geometric active contours in a level-set framework for computer vision, with papers in 1993, 1994, and 1995.

  3. 2001

    An IEEE fellowship

    He becomes an IEEE Fellow in 2001.

  4. 2007

    Chairing ICCV's program

    He chairs the program of the 11th IEEE International Conference on Computer Vision in 2007.

  5. 2009

    An ACM fellowship

    He becomes an ACM Fellow in 2009.

  6. 2014–2017

    Geodesic methods in image analysis

    In 2014, he and Hesamoddin Salehian and David Vaillancourt publish iPGA, an incremental principal geodesic analysis method for movement-disorder classification. In 2017, he receives the IEEE Computer Society Technical Achievement Award for his contributions to computer vision and medical image analysis.

  7. 2025

    Stein shrinkage for batch normalization

    With Sofia Ivolgina and P. Thomas Fletcher, he proves in 2025 that Stein shrinkage improves batch-normalization estimates under sub-Gaussian adversarial attacks and evaluates image-classification, segmentation, and neuroimaging models.

  8. As of October 2026

    Distinguished professor at Florida

    As of October 2026, he is a Distinguished Professor in the University of Florida's Department of Computer and Information Science and Engineering. He also serves as an associate editor for the Journal of Information Geometry.

Career

  1. Since 1987University of FloridaDistinguished Professor

Education

  1. 1987University of Texas at AustinPhD
  2. 1979National Institute of Technology TiruchirappalliBE

From the biography and OpenAlex affiliations (the years of papers that list the organization), so some years are approximate.

Most-cited works

  1. Shape modeling with front propagation: a level set approach1995 · IEEE Transactions on Pattern Analysis and Machine Intelligence · 3,159 citations
  2. Robust Point Set Registration Using Gaussian Mixture Models2010 · IEEE Transactions on Pattern Analysis and Machine Intelligence · 975 citations
  3. Cumulative Residual Entropy: A New Measure of Information2004 · IEEE Transactions on Information Theory · 609 citations
  4. Resolution of complex tissue microarchitecture using the diffusion orientation transform (DOT)2006 · NeuroImage · 388 citations
  5. A robust algorithm for point set registration using mixture of Gaussians2005 · 355 citations

From OpenAlex, as of 18 October 2026.

  1. More people shaping AI studied at Massachusetts Institute of Technology than at any other institutionIncludes University of Florida. Our estimates of where the people shaping AI studied and where their careers led, from education records in cited biographies.
  2. The company share of AI researchers’ top papers rose from 3% to 32%Includes University of Florida. We estimate where leading AI researchers worked when their most-cited papers appeared. The company share rose from 3% in 1975–1979 to 32% in 2020–2024.
  3. Google has the highest combined h-index among AI organizationsIncludes University of Texas at Austin. Our estimates of combined and median h-index at AI organizations, using current affiliations and OpenAlex records.
  4. Stanford University trained or employed 27 of the 111 AI major-prize winners, more than any other universityIncludes University of Texas at Austin. Stanford University trained or employed 27 of the 111 AI major-prize winners, more than any other university. We compare doctorate and employment links for major-prize and best-paper winners.

Colleagues

People with dated positions at the same organization in the same years.

Sources and credits

Photo: We have no published photo of Baba C. Vemuri yet. Send us a free-licensed photo.

  1. NIT Trichy - DAA Recipients for 2007-08 nitt.edu. Checked 18 October 2026.
  2. Vemuri Technical Achivement Award computer.org. Checked 18 October 2026.
  3. Faculty Research Areas - Department of Computer & Information Science & Engineering cise.ufl.edu. Checked 18 October 2026.
  4. Baba C Vemuri cise.ufl.edu. Checked 18 October 2026.
  5. Admissibility of Stein Shrinkage for Batch Normalization in the Presence of Adversarial Attacks arxiv.org. Checked 18 October 2026.