World's Best Scientists 2026 revealed!
Shankar Krishnan

Shankar Krishnan

Overview

Shankar Krishnan is affiliated with Google in the United States and has a body of research primarily situated within computer science. Their work encompasses various subfields including computer vision and pattern recognition, artificial intelligence, biomedical engineering, information systems, and surgery.

The scientist has contributed to topics such as stochastic gradient optimization techniques, context-aware activity recognition systems, non-invasive vital sign monitoring, healthcare technology and patient monitoring, neural networks and applications, face and expression recognition, and domain adaptation and few-shot learning.

Krishnan's recent publications include:

  • "A Unifying View on Implicit Bias in Training Linear Neural Networks," 2020, published in arXiv (Cornell University)
  • "Weak and Strong Gradient Directions: Explaining Memorization, Generalization, and Hardness of Examples at Scale," 2020, published in arXiv (Cornell University)
  • "Fall Detection Systems at Night," 2023, published in Computer
  • "Design, Development and Validation of a Novel Mechanical Pain Inducer and the EMG Signal Analysis for the Induced Mechanical Pain," 2024, published in Arabian Journal for Science and Engineering
  • "ON-LINE BUYING BEHAVIOR OF CONSUMERS WITH REFERENCE TO KRISHNAGIRI DISTRICTS," 2024, published in ShodhKosh Journal of Visual and Performing Arts

The primary venues for their publications are:

  • arXiv (Cornell University)
  • Computer
  • Arabian Journal for Science and Engineering
  • ShodhKosh Journal of Visual and Performing Arts
  • Behavioral Sciences

Frequent collaborators include:

  • Y. Sunanda
  • Y. Pavan Kumar Reddy
  • Ramanujam Elagovan
  • Thinagaran Perumal
  • Chulhee Yun

Best Publications

  • Video stream quality impacts viewer behavior: inferring causality using quasi-experimental designs

    S. Shunmuga Krishnan;Ramesh K. Sitaraman

  • Surface Reconstruction based on Lower Dimensional Localized Delaunay Triangulation

    M. Gopi;Shankar Krishnan;Cláudio T. Silva

  • An Information-Theoretic Approach to Detecting Changes in Multi-Dimensional Data Streams

    Tamraparni Dasu;Shankar Krishnan;Suresh Venkatasubramanian;Ke Yi

  • An efficient surface intersection algorithm based on lower-dimensional formulation

    Shankar Krishnan;Dinesh Manocha

  • Spherical shell: a higher order bounding volume for fast proximity queries

    Shankar Krishnan;Amol Pattekar;Ming C. Lin;Dinesh Manocha

  • An Investigation into Neural Net Optimization via Hessian Eigenvalue Density

    Behrooz Ghorbani;Shankar Krishnan;Ying Xiao

  • Global registration of multiple 3D point sets via optimization-on-a-manifold

    Shankar Krishnan;Pei Yean Lee;John B. Moore;Suresh Venkatasubramanian

  • Filter Response Normalization Layer: Eliminating Batch Dependence in the Training of Deep Neural Networks

    Saurabh Singh;Shankar Krishnan

  • Topology preserving surface extraction using adaptive subdivision

    Gokul Varadhan;Shankar Krishnan;Tvn Sriram;Dinesh Manocha

  • Compressing large boolean matrices using reordering techniques

    David Johnson;Shankar Krishnan;Jatin Chhugani;Subodh Kumar

  • ESOLID - A system for exact boundary evaluation

    John Keyser;Tim Culver;Mark Foskey;Shankar Krishnan

  • Rapid and Accurate Contact Determination between Spline Models using ShellTrees

    Shankar Krishnan;M. Gopi;Ming C. Lin;Dinesh Manocha

  • A fast and efficient projection-based approach for surface reconstruction

    M. Gopi;S. Krishnan

  • Feature-sensitive subdivision and isosurface reconstruction

    G. Varadhan;S. Krishnan;Y.J. Kim;D. Manocha

  • MAPC: a library for efficient and exact manipulation of algebraic points and curves

    John Keyser;Tim Culver;Dinesh Manocha;Shankar Krishnan

  • Streaming Geometric Optimization Using Graphics Hardware

    Pankaj K. Agarwal;Shankar Krishnan;Nabil H. Mustafa;Suresh Venkatasubramanian

  • Visualization research with large displays [analysis of communication networks and services]

    B. Wei;C. Silva;E. Koutsofios;S. Krishnan

  • Efficient and exact manipulation of algebraic points and curves

    John Keyser;Tim Culver;Dinesh Manocha;Shankar Krishnan

  • Unsupervised clustering of multidimensional distributions using earth mover distance

    David Applegate;Tamraparni Dasu;Shankar Krishnan;Simon Urbanek

  • Understanding the effectiveness of video ads: a measurement study

    S. Shunmuga Krishnan;Ramesh K. Sitaraman

Frequent Co-Authors

Dinesh Manocha
Dinesh Manocha University of Maryland, College Park
John B. Moore
John B. Moore Australian National University
Ramesh K. Sitaraman
Ramesh K. Sitaraman University of Massachusetts Amherst
Chao Tian
Chao Tian Texas A&M University
Pankaj K. Agarwal
Pankaj K. Agarwal Duke University
Suhas Diggavi
Suhas Diggavi University of California, Los Angeles
Ming C. Lin
Ming C. Lin University of Maryland, College Park
David S. Johnson
David S. Johnson AT&T (United States)
Cláudio T. Silva
Cláudio T. Silva New York University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring Computer Science in the USA opens up a variety of flexible and affordable educational options. For learners seeking a quick route to advancement, consider enrolling in one of the shortest masters degree programs online. These can help you fast-track your skills and enter the tech workforce in as little as one year.

Looking for the best return on investment? Many of the most worthwhile masters degrees are in high demand areas like artificial intelligence, data science, and cybersecurity—fields crucial to the evolving tech landscape.

If you’re starting out or want a credential sooner, you can pursue 1 year associate degree programs online. These programs provide fundamental technical skills and can be a stepping stone to a bachelor’s or immediate entry into IT roles.

Affordability is also a top concern. Many students opt for the cheapest online college options to manage tuition costs while still receiving a quality education. No matter your background or schedule, an online learning path can help you build a rewarding career in computer science.

Best Scientists Citing Shankar Krishnan

Trending Scientists

Recently Published Articles