KARTHIK S GURUMOORTHY Office: 175, ICBR, 2033 Mowry Road, University of Florida, P.O. Box 103622, Gainesville, FL 32610, USA. EMAIL: sgk(at)ufl(dot)edu

About me

I am currently working as a post-doctoral associate at the Interdisciplinary Center for Biotechnology Research (ICBR), University of Florida. 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

Publications

• Journal Articles

• Alina Zare, Paul Gader and Karthik S. Gurumoorthy,
  Directly measuring material proportions using hyperspectral compressive sensing,
  Geoscience and Remote Sensing Letters, In press. [.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 and Anand Rangarajan,
  Distance transform gradient density estimation using the stationary phase approximation,
  [.pdf]
• 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

• 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

• Discrete Mathematics (Fall 2010, Spring 2011).
• Java Programming (Spring 2009).
• Machine Learning (Spring 2007).
• Operating Systems (Spring 2006, Fall 2006).