About me
I am currently working as a Research Scientist at GE Global Research, Bangalore, India. I completed my Ph.D. from the Department of Computer and Information Science and Engineering, at the University of Florida. My advisors were Arunava Banerjee and Anand Rangarajan. I hold a baccalaureate degree in computer engineering from the University of Madras, India and a master's degree in mathematics and in computer science from the University of Florida.
Research Interests
- Application of quantum mechanics in solving classical problems
- Machine learning and Statistical learning theory
- Sparse representations and Image compression
- Dynamical systems theory and quantum chaos
Side Interests
- Operations Research and Production problems
- Analysis of algorithms and computational complexity
Curriculum Vitae
Click here for my CV.
Publications
Journal Articles
- Karthik S. Gurumoorthy and Anand Rangarajan,
Distance transform gradient density estimation using the stationary phase approximation,
SIAM Journal on Mathematical Ananlysis, In press. [.pdf]
- Alina Zare, Paul Gader and Karthik S. Gurumoorthy,
Directly measuring material proportions using hyperspectral compressive sensing,
Geoscience and Remote Sensing Letters,9(3), pp. 323-327,2012,[.pdf]
- Karthik S. Gurumoorthy , Ajit Rajwade, Arunava Banerjee and Anand Rangarajan,
A method for compact image representation using sparse matrix and tensor projections onto exemplar orthonormal bases,
IEEE Transactions on Image Processing (TIP),19(2), pp. 322-334, 2010 .[.pdf]
- Karthik S. Gurumoorthy, Arunava Banerjee and Anand Paul,
Dynamics of 2-worker bucket brigade assembly line with blocking and instantaneous walk-back,
Operations Research Letters, 37(3), pp. 159-162, 2009.[.pdf]
Technical Reports
- Karthik S. Gurumoorthy, Anand Rangarajan and Arunava Banerjee,
An application of the stationary phase method in estimating probability densities of function derivatives,
[.pdf]
- Karthik S. Gurumoorthy, Anand Rangarajan and Manu Sethi
Fast convolution-based methods for computing the signed distance function and its derivatives,
[.pdf]
- Karthik S. Gurumoorthy and Anand Rangarajan,
A fast eikonal equation solver using the Schrodinger wave equation,
[.pdf]
Conference Papers
- Manu Sethi, Anand Rangarajan and Karthik S. Gurumoorthy,
The Schrodinger Distance Transform (SDT) for point-sets and curves,
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp.198-205, 2012.
[.pdf]
- Karthik S. Gurumoorthy, Anand Rangarajan and Arunava Banerjee,
The complex wave representation of distance transforms ,
Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR), Springer LNCS 6819, pp. 413-427, 2011.[.pdf]
- Xin Hou, Karthik S. Gurumoorthy and Ajit Rajwade,
Color image compression using a learned dictionary of pairs of orthonormal bases,
IEEE Data Compression Conference (DCC), 2011.[.pdf]
- Anand Rangarajan and Karthik S. Gurumoorthy ,
A Schrodinger wave equation approach to the eikonal equation: Application to image analysis,
Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR), Springer LNCS 5681, pp. 140-153, 2009. [.pdf]
- Karthik S. Gurumoorthy and Anand Rangarajan,
A Schrodinger equation for the fast computation of approximate Euclidean distance functions,
2nd International Conference on Scale Space and Variational Methods in Computer Vision (SSVM), Springer LNCS 5567, pp. 100-111, 2009. [.pdf]
- Karthik S. Gurumoorthy , Ajit Rajwade, Arunava Banerjee and Anand Rangarajan,
Beyond SVD: Sparse projections onto exemplar orthonormal bases for compact image representation,
Proceedings of IEEE International Conference on Pattern Recognition (ICPR), 2008. [.pdf]BEST SCIENTIFIC PAPER AWARD
Others
- Karthik S. Gurumoorthy, Anand Rangarajan and Arunava Banerjee,
The complex wave representation (CWR) of shape ,
Abstract accepted to The Learning Workshop (Snowbird Workshop), 2011. [.pdf]
- Karthik S. Gurumoorthy
A Schrodinger wave mechanics formalism for the eikonal problem and its associated gradient density computation ,
Ph.D. Thesis, University of Florida [.pdf]
Teaching
I have been a teaching assistant/discussion leader for the following courses:
- Discrete Mathematics (Fall 2010, Spring 2011).
- Java Programming (Spring 2009).
- Machine Learning (Spring 2007).
- Operating Systems (Spring 2006, Fall 2006).