Dr. Chandrajit Bajaj

Biography

Chandrajit L Bajaj is a Professor in the Department of Computer Science at the University of Texas at Austin and the Institute for Computational Engineering Sciences. His research areas include Image Processing, Computational Geometry, Geometric Modeling, Computer Graphics, Data Analysis, Visualization, Computational Biology, and Bioinformatics. He is involved in the development of efficient and robust 2D/3D/4D image geometry filtering algorithms, as well as reconstruction and compression techniques. His current work includes the application of structure elucidation algorithms for the construction of multi-scale domain models of molecules and biological tissues using multi-modal bio-imaging techniques. Additionally, he is developing fast high-dimensional search procedures for identifying energetically favorable binding interactions between bio-compounds and proteins, with applications in virtual screening for anti-viral drugs. Bajaj is also focused on integrated computational modeling and mathematical analysis of dynamic biomedical structures, especially for cancer detection through chemical imaging techniques that can identify the chemical composition of individual cells from biopsy samples. He holds a Ph.D. in Image Processing, Computer Graphics, Geometric Modeling, Computational Biology, Bioinformatics, and Data Analysis and Visualization.

Research Interests