High School Project

Sravan Bhagavatula

Livonia, Michigan

Email: ******.**@*****.***

www.sbhagavatula.com

Phone: 512-***-****

Objective

Working in an image processing based position, with specific interest in computer vision and/or computational photography.

Education

M.E.E., Electrical Eng. – Image and Signal Processing, Dec 2013

Rice University (Changed from Ph.D. to M.E.E. in Fall 2012)

B.S., Electrical and Computer Eng., May 2010

The University of Texas at Austin

Projects

Computer Vision

Finding Most Informative Images in an Ensemble : Graduate Student Qualifying

Project, Rice University. Compressed 100 3D images of an object to 3-4 images using

Scale-Invariant-Feature-Transform. Project supervisor: Dr. Richard Baraniuk. Project

received very good feedback from thesis committee .

Puzzle Solver: Used feature matching and facial recognition techniques to piece

together the pieces of a ‘broken’ image.

Seam Carving: Implemented a technique that removes columns from an image

seamlessly while maintaining the dimensions of objects and other sali ent features.

Example-Based Super Resolution: Created super-resolution images of a query based on

a training set of high-res images by comparing patches of the query to ones of the

training set.

Android Applications: Developed applications for facial recognition and detection,

object recognition, and feature analysis, using OpenCV.

Computational Photography

Light Field-Based Re-focusing / Depth Estimation: Used images obtained from a

camera array to estimate the depth of each point / object with respect to the scene.

Motion De-blurring (Fluttered Shutter Implementation) : Fluttered shutter coding and

consequent de-blurring of a scene.

Flash / No-Flash Techniques: Using flash / no-flash image pairs to solve common issues

such as detail transfer in dark scenes, removal of flash-induced specularities, white

balance, etc.

Creating Fake Miniatures: Learned about the various causes and factors involved in

depth-of-field alteration and used this knowledge to create fake miniatures of

landscapes and city scenes.

Image Processing

Binary Image Processing: Erosion and dilation of objects in the binary image and

application of these concepts towards object detection and removal.

HDR Imaging: Analysis of HDR images – changing the contrast ratio, improving the

overall lighting in an image, and color correction.

Color Balancing: Correcting the color in an image taken under various lighting

conditions using techniques such as gray edge, max edge, scale-by-max, etc.

Object Detection and Removal : Filling in after removal, an example - using edge and

corner detection to find and remove power lines, followed by environmental blending.

Android Applications: Color correction, Implementing filters (ex. sepia, comic-book

filter, high / low frequency filters, etc).

Experience

Computer Systems Analyst, Addon Technologies (06/2014 - Current) - Trained in Android

programming, and developed Android applications. Learned Android's implementation of

OpenCV and implemented computer vision / image processing techniques into Android

applications.

Research Intern, University of Houston and The Methodist Hospital (06/2013 – 12/2013,

03/2014 – 05/2014): Worked on a near-infrared spectroscopy based project, focusing on the

signal and image processing aspects of the implementation. Mining large data using

statistical signal processing based techniques, such as Particle / Kalman filter.

Grader, Mathematics Department, The University of Texas at Austin (08/2008 – 05/2010):

Graded and recorded over two hundred home-works every week. Communicated with

professors on grading criteria, scores.

Peer Advisor, Electrical and Computer Eng., The University of Texas at Austin (08/2007 –

05/2008): Scheduled and advised students on courses for future semesters. Recommended

and implemented solutions to raise the office's efficiency.

Computer Technician, Aptech Training Institute, Duba i (05/2006 – 08/2006): Assembled

computers. Troubleshot and fixed hardware and software issues.

Related Courses

Computational Photography, Computer Vision, Digital Image Processing (Stanford University), Digital Signal Processing Theory, Real-Time Digital Signal Processing Lab,

Signals and Systems, Probability and Random Processes, Data Structures, Introduction to

Microcontrollers, Introduction to Random Processes, Android Training

Honors and Scholarships

Recipient of the Texas Instruments Scholarship at Rice University for 2010 -2011

Distinguished College Scholar, The University of Texas at Austin, 2008-2009

College Scholar, The University of Texas at Austin, 2007-2008

Recipient of the Friends of Alec International Student Scholarship, The University of

Texas at Austin, 2009-2010

Member of Engineers Without Borders, The University of Texas at Austin

Received several commendations in high school for academic performance

Placed in top ten percent in a regional mathematics Olympiad at high school

Skills

Good knowledge of Java

Knowledge of C++, C

Good knowledge of OpenCV

Good knowledge of Android

Extensively used MATLAB

Experience with engineering softwares including LabVIEW, PSpice, Multisim

Excellent problem solving and analytical skills

Good communication skills (recognized for leadership role for undergrad project)

References

Prof. Richard Baraniuk - Victor E. Cameron Professor, Rice University

Prof. Brian Evans - Professor, The University of Texas at Austin

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