Chandrajit Bajaj

Professor
Bajaj's research is focussed on developing computer science and applied mathematics algorithms in geometric modeling, imaging data sciences, bio-informatics and data visualization. Many applications stem from bio-medical engineering, physical, chemical, geological sciences and bio-inspired architecture. His commitment to the field of computational and predictive medicine is evidenced by his research focus this past decade

Research

Research Interests: 
  • Developing computer science and applied mathematics algorithms in geometric modeling
  • Imaging data sciences
  • Data visualization

Select Publications

C. Bajaj. 2014. “From Voxel Maps to Models”. Oxford University Press.
C. Bajaj, B. Bauer, R.K. Bettadapura, A. Vollrath. 2013. “Nonuniform Fourier Transforms for Rigid-Body and Multi-Dimensional Rotational Correlations”. SIAM Journal of Scientific Computing.
C. Bajaj, S-C Chen, A. Rand. “An Eff. Higher-Order Fast Multipole Bound. Element Soln for Poisson-Boltzmann Molecular Electrostatics”. SIAM Journal on Scientific Computing.
C. Bajaj, W. Zhao. “Fast Molecular Solvation Energetics and Force Computation”. SIAM Journal on Scientific Computing.
C. Bajaj, S. Goswami . “Modeling Cardiovascular Anatomy from Patient-Specific Imaging”. Advances in Comp. Vision and Medical Image Processing.

Awards & Honors

2004 - University of Texas, Faculty Research Award
2004 - University of Texas, Dean Research Award
2006 - Best Paper, Computer Aided Design
2010 - Best Paper, ACM Symposium on Solid and Physical Modeling
2013 - Fellow of the Institute of Electrical and Electronic Engineers
2010 - Fellow of University of Texas Institute for Cellular and Molecular Biology
2009 - Fellow of the Association for Computing Machinery
2008 - Fellow of The American Association for the Advancement of Science
2010 - University of Texas-Moncrief Grand Challenge Faculty Research Award
2011 - University of Texas-Moncrief Grand Challenge Faculty Research Award