Electrical Engineering Engineer

Selva Narayanan Ammanoor Madapusi

San Jose, CA,

EMAIL: selva.madapusi@gmail; PHONE: 970-***-****

Career Objective:

Energetic, Creative and recent Electrical Engineering graduate with good communication skills and solid

engineering foundation looking for career opportunities.

EDUCATION:

M.S. (Electrical Engineering), Colorado State University GPA: 3.3/4.0 Dec 2014

B.E. (Electrical Engineering), Anna University Score: 67.3% May 2010

Solid foundation in Digital Signal Processing, Information Theory, …..

EXPERIENCE:

Research Assistant, Motor Sport Research Center, Colorado State University Sep 2014-Dec 2014

Software Engineer, HCL Technologies, India Dec 2010-Aug 2012

PROJECTS:

Image processing to identify blemishes in an input image file and correction of blemishes as output for industrial applications

Took an image of a part in assembly line, compared it to the expected result and identified areas of potential

defect in iaGE

Applied SNR concepts for image blemish detection; applied contour detection using Prewitt, sobel, robers and Laplacian methods

Used various point and spatial operators for noise removal, edge extraction and sharpening using MATLAB

Low pass filtering of images using spatial filtering and median filtering techniques for noise reduction

Design of high pass, high boost, band pass and Laplacian of Gaussian filtering for image enhancement in C++

Image Data Reduction Using Principal Component Analysis(PCA)

Dimensionality reduction of the given image set by computing the principal components

Reconstruction of entire given image set from the principal components using Java

Validation of the technique by reconstructing a new image using the principal components

Two Dimensional Discrete Cosine Transform(DCT) For Image Compression In Cameras

Computation of two dimensional DCT of 8x8 blocks in the input image

Selection of DCT coefficients that needs to be retained using Zonal coding

Reconstruction of image from the retained coefficients using the two dimensional inverse DCT of each block

Validation of the technique by considering different DCT computation block sizes and DCT coefficients for reconstruction

Quantization of DCT coefficients in each block to carry out entropy coding

Analysis Of Performance Of Frequency Domain 2D Wiener Filter For De-blurring and Noise Removal Applications

Image restoration from an image that was degraded by individual as well as combined effects of Gaussian noise and motion blur

Performance comparison of Weiner filter with low pass filter on the basis of noise removal capability

Detection Of Image Patterns

Retrieval of images similar to the input image based on properties such as texture, outline and color

Computation of weighted scores based on image matching Displayed images with maximum weighted scores

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