Signal Processing Object Oriented

Vishwajith Upendra

Address: ****, ***** **** *****, *** no.316 Cell Phone: 312-***-****

Chicago, IL-60616 E-mail: ***********@*****.***

Objective

Looking for Co-op position in Signal processing and computing.

Summary

• 1+ year experience in programming with C, Python and SQL for algorithm development to solve statistical

problems. Have used Python modules to work with different database formats and to accomplish tasks.

• Understanding of OOP concepts. Knowledge & experience in technologies like SQL, HTML, XHTML, PHP,

JavaScript, Drupal, Core-Java, JSP servlets, JDBC, tomcat server.

• Worked on signal processing algorithms. Have expertise using Image processing toolbox, Signal processing

toolbox and Statistics toolbox in MATLAB.

• Developed algorithms for image segmentation to identify specific features from images and to analyse

those features using MATLAB.

• Worked with Pattern recognition algorithms to classify huge datasets having specific features using SVM

and PCA. Also, have tested and validated the classification results.

• Experience using CUDA for GPU programming.

Education

Illinois Institute of Technology, Chicago, IL (GPA 3.67/4) (August 2010-Present)

M.S in Electrical Engineering

Specialization: Signal processing and communication

Amrita School of Engineering, Bangalore, India (Higher First Class) (2006-2010)

Bachelor of Technology in Electronics and Communication

Technical Skills

Technologies: C, C++, Core-Java, Servlets, JSP, JDBC, SQL

Scripting Languages: Python, R, PHP, JavaScript, CUDA

Internet Technologies: CSS, HTML, XHTML

Tools: MyEclipse, Drupal, MATLAB, OpenCV

Webserver: Apache Tomcat

Work Experience

Illinois Institute of Technology, Chicago (May 2011- Present)

Role: Web developer at Ethics Center

• Development and maintenance of CSEP website.

• Using technologies like HTML, XHTML, PHP, JavaScript.

• Worked on JavaScript, JSP and Servlets. Used basic JDBC connectivity.

Chicago Police Department (Jan2011 to May

2011)

Role: Public Service Intern at Predictive analysis group

• Worked on predicting the crime pattern by the datasets of all criminals using Python Language and

SQL.

• Used different python modules to accomplish the work assigned.

• Learnt using statistical computing language R.

Indian Institute of Science, Bangalore (Dec2009 to May

2010)

Role: Project Intern

• Worked on developing an algorithm for GPU accelerated reconstruction of diffuse optical

tomographic images.

• Used C, CUDA, CUDA profiler, MATLAB, CUDA wrappers, LAPACK.

• The work got published in an International journal.

Publication

"Accelerating frequency-domain diffuse optical tomographic image reconstruction using graphics

processing units," J. Biomed. Opt. 15(6), 066009 (2010).

Jaya Prakash, Venkittarayan Chandrasekharan, Vishwajith Upendra, and Phaneendra K. Yalavarthy,

http://spie.org/x648.html?product_id=888724

Certification

Certified training course at IIT Bombay, India on Magnetic Resonance physics and imaging (May 2010).

Undergraduate Projects

Simulation and building a working model of DELTA modulation circuit (2008)

Ternary base systems, involves modelling of three state logic and implementing the same in real time

application (2009)

Graduate projects (Code available upon request)

Detection and estimation of bird call embedded in Gaussian noise using similarity matching technique.

(November 2010)- Statistical Signal Processing course

Implementation of FIR filter design by use of alternation theorem (Recursive algorithm). (Feb 2011- March

2011)- Digital Signal Processing 2 course

Implementation of Region based segmentation and Region feature detection on images having varying

details and an User Interface for the same to facilitate easy usage.

(March 2011-April 2011)- Computer Vision course

Implementation and performance analysis of Fast algorithms in Prediction filters. (March 2011-April

2011)- Digital Signal Processing 2 course

Detection of Alzheimer’s disease with PET images (of Brain) of 42 subjects. (April 2011) Statistical Pattern

recognition course

Implementation of Motion Compensated Frame Prediction by block matching algorithm (Also, called

Motion Estimation). (April 2011)- Computer Vision course

Laboratory Experience

Programming Laboratories : Object Oriented Programming Lab, Microcontroller & interfacing Lab.

Circuit Design: Digital Design Lab, Solid State Devices & Circuits Lab, Analog integrated Circuits Lab.

Signal Processing & Communication: Digital Signal Processing Lab, Analog & Digital Comm Lab.

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