Engineer Signal Processing

PRADEEP KUMAR KANAPARTHI

**** ****** **** **, #***, Spring, TX, 77379 Ph: 419-***-****, Email:acb9g0@r.postjobfree.com

SUMMARY:

• Over 4 years of experience in MATLAB and C/C++ programming.

• Experienced and Expertise in Data Processing, Analyzing, Designing, Algorithm development, Testing, bug

fixing, Validating, Simulating, Documentation.

• Excellent knowledge and experience in Computer Vision, Image Processing and Digital Signal Processing.

• Good sound knowledge in Microprocessors, Microcontrollers, PC Hardware Architecture, Analog and digital

circuits, AC and DC theory and digital design.

• Good knowledge and Hands on Experience with standard lab equipment like Oscilloscopes, Multimeters,

Voltmeters, Power Meters, Power Supplies, Analyzers, Signal Generators, Frequency Counters, DMM, Frequency

Synthesizers.

• Hands on Experience with data compression, signal enhancement, filtering, spectral analysis, feature extraction,

image analysis, object detection and recognition techniques and algorithms.

• Good Conceptual knowledge in Electrical, Electronics and Communications.

EDUCATION:

M.S., Electrical Engineering (The University of Toledo, Toledo, OH, USA) August 2009-December 2012

Specialization: Communications and Signal Processing

B.S., Electronics and Communication Engineering (JNTU, India) September 2004-May 2008

WORK EXPERIENCE:

Associate RF Engineer, Nexgen Wireless, Inc. December 2012-Aug 2013

As an Associate RF Engineer, I involved in the following duties:

• Design, implementation, testing, integration and maintenance of the radio frequency sub-systems.

• Identify the technical problems and resolve them.

• Analyze the measured data so as to enhance the performance.

Research Assistant, Image Processing Lab, University of Toledo, Toledo, Ohio May 2010-August 2012

• Worked on Ohio Department of Transportation project.

• Designed various algorithms for Pavement Crack Detection and Quantification using different Image processing

techniques.

• Worked on various object detection and recognition algorithms and developed an algorithm for speed sign

recognition system using image processing techniques.

• Designed and analyzed the models in Simulink for various image processing applications.

• Developed MATLAB codes and documented the methods and results.

Multimedia Assistant, Law Library, University of Toledo, Ohio August 2011-September 2012

• Install, adjust, and operate electronic equipment to record, edit, and transmit radio and television programs,

motion pictures, video conferencing, or multimedia presentations.

• Compress, digitize, duplicate, and store audio and video data.

• Diagnose and resolve media system problems.

SriLakshmi Solutions Pvt. Ltd. August 2008-May 2009

• Design, troubleshoot and debug electrical functional test equipment.

• Calculated controlled impedances, defined PCB materials and surface finishes.

TECHNICAL SKILLS AND TECHNOLOGIES:

Programming Languages: MATLAB/SIMULINK/State Flow, C, C++, OpenCV, Python,

and VHDL.

Project Documentation: MS Office (MS-WORD, EXCEL, POWERPOINT).

Operating systems: WINDOWS 98/2000/XP/Vista/7, Linux.

Microcontrollers and Microprocessors: 8051, C505C, 8085, 8086.

Other Skills: Effective IC Soldering, Documentation, Good fundamentals in

Electronics, Paint Shop Pro, Photo Shop, Electrical schematics.

PUBLICATIONS:

• Kanaparthi, P., Salari, E., Feb 2013. Detection and Recognition of U.S. Speed Signs from Grayscale Images for

Intelligent Vehicles. International Journal of Advanced Computer Science, vol. 3, no. 3, pp. 139-143 .

RESEARCH EXPERIENCE:

The University of Toledo May 2010 – September 2012

Pavement Crack Detection and Quantification, Ohio Department of Transportation.

• Developed algorithms in MATLAB for enhancement and illumination correction of the pavement images using

image processing techniques such as filtering, morphological operations and median filtering.

• Developed algorithms in MATLAB for crack recognition in pavement images using probabilistic relaxation

technique.

• Developed an algorithm in MATLAB for the Bayesian updating method that is modified to consider multiple

conditional probabilities.

Detection and Recognition of U.S. Speed Signs from Grayscale Images for Intelligent Vehicles.

• Developed algorithms in MATLAB for the detection of sign boards in traffic images using connected component

analysis technique.

• Developed algorithms in MATLAB for the recognition of optical characters using feature extraction using Hu’s

moments.

• Developed algorithms in MATLAB for the classification of sign board components using Artificial Neural

Networks.

ACADEMIC PROJECTS:

• Foggy Image Enhancement by classifying the image according to its histogram and applying an appropriate

enhancement method based on the classification (May 2012).

• Pattern Recognition using Wavelet Transform (November 2011).

• Image Segmentation and Feature Extraction Algorithms using Iterative Thresholding, K-mean Clustering, Region

Growing, & Region split & merge algorithms & Feature Extraction from segmented regions (April 2011).

• Surface Inspection using Stereo Imaging (October 2010).

• Image Compression & Reconstruction (JPEG coding standard) (July 2010).

• Image Segmentation Using Contour and Texture Analysis (May 2010).

• Virtual Scribbling Pad (April 2008).

RELEVANT COURSE WORK:

Random Signal and Optimal Filters Microprocessors and Microcontrollers and Lab

Advanced Digital Signal Processing and Lab Real-Time Embedded Systems and Lab

Signals and Systems Digital Design

RF Engineering VHDL

Image Analysis and Computer Vision Digital Image Processing

Computer Organization Advanced Computer Architecture

Network Analysis Communication Theory and Lab

Digital Signal Processing Data Compression for Multimedia Communication

AC and DC Theory Antennas

Linear and Digital IC design & Applications Wireless Communications and Networks

Computer Networks Control Systems

Artificial Intelligence Pulse and Digital Circuits

Switching theory and Logic design

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