World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
69
Citations
15843
World Ranking
2004
National Ranking
1009

Research.com Recognitions

  • 2016 - SIAM Fellow For fundamental contributions to applied mathematics algorithms in geometric modeling, imaging science, bioinformatics, and data visualization.
  • 2014 - IEEE Fellow For contributions to image processing, scientific visualization, and computational biology
  • 2009 - ACM Fellow For contributions to algorithms for geometric design, scientific visualization, computational biology and bioinformatics.
  • 2008 - Fellow of the American Association for the Advancement of Science (AAAS)

Overview

Chandrajit L. Bajaj is affiliated with The University of Texas at Austin in the United States. Their scholarly work spans multiple disciplines, predominantly within computer science and engineering.

The primary fields of study associated with their research include Computer Science and Engineering. Within these areas, Bajaj's contributions cover several subfields such as Computer Vision and Pattern Recognition, Artificial Intelligence, Computational Mechanics, Media Technology, and Control and Systems Engineering.

The scientist's research topics focus on advanced techniques and methodologies including:

  • Advanced Image Processing Techniques
  • 3D Shape Modeling and Analysis
  • Image and Signal Denoising Methods
  • Image Processing and 3D Reconstruction
  • Gaussian Processes and Bayesian Inference
  • Generative Adversarial Networks and Image Synthesis
  • Model Reduction and Neural Networks

Bajaj has published extensively, with a notable record in both journal articles and conference proceedings. Frequent publication venues include:

  • arXiv (Cornell University)
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • Machine Learning Science and Technology
  • Journal of Applied Physics
  • Electronics

Among recent papers, the following stand out:

  • "Materials for emergent silicon-integrated optical computing," 2021, Journal of Applied Physics
  • "Weighted Random Forests to Improve Arrhythmia Classification," 2020, Electronics
  • "Recipes for when physics fails: recovering robust learning of physics informed neural networks," 2023, Machine Learning Science and Technology
  • "Scene Synthesis via Uncertainty-Driven Attribute Synchronization," 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • "E-CIR: Event-Enhanced Continuous Intensity Recovery," 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Bajaj collaborates regularly with several coauthors, including Qixing Huang, Chen Song, Hepzibah A. Christinal, D. Abraham Chandy, and Minh Tho Nguyen.

The scientist has been recognized by multiple professional organizations. Awards and honors include:

  • SIAM Fellow (2016) for contributions to applied mathematics algorithms in geometric modeling, imaging science, bioinformatics, and data visualization
  • IEEE Fellow (2014) for contributions to image processing, scientific visualization, and computational biology
  • ACM Fellow (2009) for contributions to algorithms for geometric design, scientific visualization, computational biology, and bioinformatics
  • Fellow of the American Association for the Advancement of Science (AAAS) (2008)

Best Publications

  • The contour spectrum

    Chandrajit L. Bajaj;Valerio Pascucci;Daniel R. Schikore

  • Patient-Specific Vascular NURBS Modeling for Isogeometric Analysis of Blood Flow

    Yongjie Jessica Zhang;Yuri Bazilevs;Samrat Goswami;Chandrajit L Bajaj

  • Automatic reconstruction of surfaces and scalar fields from 3D scans

    Chandrajit L. Bajaj;Fausto Bernardini;Guoliang Xu

  • Contour trees and small seed sets for isosurface traversal

    Marc van Kreveld;René van Oostrum;Chandrajit Bajaj;Valerio Pascucci

  • The transfer function bake-off

    H. Pfister;B. Lorensen;C. Bajaj;G. Kindlmann

  • Anisotropic diffusion of surfaces and functions on surfaces

    Chandrajit L. Bajaj;Guoliang Xu

  • Tracing surface intersections

    C. L. Bajaj;C. M. Hoffman;R. E. Lynch;J. E. H. Hopcroft

  • Immersed finite element method and its applications to biological systems.

    Wing Kam Liu;Yaling Liu;David Farrell;Lucy Zhang

  • Arbitrary topology shape reconstruction from planar cross sections

    Chandrajit L. Bajaj;Edward J. Coyle;Kwun-Nan Lin

  • Single resolution compression of arbitrary triangular meshes with properties

    Chandrajit L. Bajaj;Valerio Pascucci;Guozhong Zhuang

  • Adaptive and Quality Quadrilateral/Hexahedral Meshing from Volumetric Data

    Yongjie Zhang;Chandrajit L Bajaj

  • Fast isocontouring for improved interactivity

    Chandrajit L. Bajaj;Valerio Pascucci;Daniel R. Schikore

  • Sampling and Reconstructing Manifolds Using Alpha-Shapes

    Fausto Bernardini;Chandrajit L. Bajaj

  • 3D Finite Element Meshing from Imaging Data

    Yongjie Zhang;Chandrajit L Bajaj;Bong Soo Sohn

  • AUTOMATIC RECONSTRUCTION OF 3D CAD MODELS FROM DIGITAL SCANS

    Fausto Bernardini;Chandrajit L. Bajaj;Jindong Chen;Daniel R. Schikore

  • Surface Smoothing and Quality Improvement of Quadrilateral/Hexahedral Meshes with Geometric Flow

    Yongjie Zhang;Chandrajit Bajaj;Guoliang Xu

  • Modeling with cubic A-patches

    Chandrajit L. Bajaj;Jindon Chen;Guoliang Xu

  • Automatic parameterization of rational curves and surfaces III: algebraic plane curves

    S. S. Abhyankar;C. L. Bajaj

  • Convex decomposition of polyhedra and robustness

    Chanderjit L. Bajaj;Tamal K. Dey

  • Automatic particle selection: Results of a comparative study

    Yuanxin Zhu;Bridget Carragher;Robert M. Glaeser;Denis Fellmann

  • Auralization i: vortex sound synthesis

    Youngin Shin;Chandrajit Bajaj

Frequent Co-Authors

Valerio Pascucci
Valerio Pascucci University of Utah
Yongjie Zhang
Yongjie Zhang Carnegie Mellon University
Terrence J. Sejnowski
Terrence J. Sejnowski Salk Institute for Biological Studies
Joachim Frank
Joachim Frank Columbia University
John D. Owens
John D. Owens University of California, Davis
Tamal K. Dey
Tamal K. Dey Purdue University West Lafayette
James C. Browne
James C. Browne The University of Texas at Austin
Eric Westhof
Eric Westhof University of Strasbourg
David F. Stowe
David F. Stowe Medical College of Wisconsin
Kristen M. Harris
Kristen M. Harris The University of Texas at Austin

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