Shruthi Kubatur's homepage

"An optimist will tell you the glass is half-full; the pessimist, half-empty; and the engineer will tell you the glass is twice the size it needs to be." - Oscar Wilde

"Forget the one glass and the bunch of philosophies for a while; come back to me when you have a large enough sample space to make sensible, non-cliched, decisions" - Shruthi Kubatur


I am a doctoral student in the School of Electrical and Computer Engineering at Purdue University, West Lafayette, USA.

I am beginning work on rare-event simulation.

I am primarily interested in:

  • Stochastic modeling
  • Image Processing
  • Model-based imaging

My previous research projects:

Purdue Electronic Imaging Systems Laboratory
Worked on image processing problems in developing stochastic printer models and integrating it with Direct Binary Search (DBS) algorithm for optimized digital halftoning.
Prior to this, I worked on clustered DBS algorithms. Performed major code-drop to HP Labs, Israel.

Purdue Robot Vision Laboratory
(1) Computer vision and detection algorithms (mainly Viola Jones/ AdaBoost).
(2) Information retrieval in software repositories. (An Infosys Technologies project.)

University of Windsor, Canada
Unconstrained handwriting recognition via artificial neural networks.
Accuracies of up to 97.6% were achieved, and several novel features were introduced. I built the world’s first Devanagari handwriting database with layered demographic texture. Worked on novel methods of feature extraction and recognition.

V.T.U., India
Built a linguistic translator using optical character recognition and transliteration. Introduced a novel method of grammar number that helps in grammar correction of transliterated and translated sentences. Also worked on creating a look-up table for quick and efficient transliteration.

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