Project Signal Processing

PAVAN KUAMR JELLA

408-***-**** (mobile) **** Anthony wayne dr,

qbeukx@r.postjobfree.com APT # 414,

qbeukx@r.postjobfree.com Detroit, MI, 48202

Objective

Seeking an opportunity to work as an Imagining data processor which involves great research work, innovativeness, commitment and growth.

Summary

1. Good programming skills in C, C++, Mat lab, Visual basic, Lab view8.6, VTK (The Visualization Toolkit),VHDL.

2. 2yrs of experience with RLC networks, diodes and transistors, and measuring electrical characteristics using oscilloscope, multi-meter and signal generators.

3. 2D- 3D- Imaging, Enhancement, Segmentation, Reconstruction

4. Strong team player, fast learner, excellent communication skills, self motivated

5. Received first place in my undergraduate mini project.

Academic Profile

Masters in Computer engineering, university of Houston Clearlake, Houston, Tx, 77058

GPA 3.6 Visa Status: F1 Availability: Immediate

Bachelors in Biomedical engineering, Jawaharlal Nehru Technological University, India (May 2007).

GPA 3.7

Experience

1. MR Innovations, Detroit MI ((Aug 23rd 2010- till date)

Title: Research Assistant Under Dr. MARK . E. HAACKE

Role:

Presently, working on MULTIPLE SCLEROSIS. MR (Magnetic Resonance) data processing using SPIN software. Interfacing C++ and MAT LAB code to implementing phase filters, blood Flow Quantification. Improving the Radio Frequency signal to improve the quality of the image acquisition outputs. Implementing low RF signal to increase the image Quality. Implementing different RF coils for different parts for acquisition.

2. Monsanto, Durham, NC (May 24th 2010 – August 24th 2010)

Title: MR, CT Data processing Intern

Role:

1. Advanced 3D rendering for Mat Lab à VTK rendering modules, I/O Interface development.

2. MRI image processing and structure/physiological signal analysis (stem/root geometries, metabolism,

Photosynthesis related image analyses with MRI images.)

3. Developing common 3D image analysis functions for both MRI and micro CT root images.

3. University Of Houston Clearlake, Houston TX (fall 2009- spring 2010)

Title: Teaching Assistant

Role:

I was assigned to teach the undergraduate and graduate students by my professor

Dr. Thomas L Harman. I also had an opportunity in working with him on the 6 DOF robotic arm designed by him in my final semester.

I was assigned to teach the following courses:

1. Microcontroller System Design

2. Robotics

3. Engineering Applications

4. 4. Control Systems

4. Care Hospital, Hyderabad, India (Nov’06 – May’07)

Title: Teleradiology supporting Group Intern

Role:

We were exposed to various imaging modalities for acquisition of medical (DICOM) images, techniques to reconstruct the 2-dimentional to 3-dimentional structures. We were also exposed to different fields involved in improving the clinical facilities like selecting the right equipment which is effective and has good efficiency that suits our requirements, managing the equipment, patient safety requirements, securing the information.

COURSE PROJECTS

1. BIO-MEDICAL SIGNAL PROCESSING LAB

Convolution correlation techniques, analog to digital signal conditioning, SNR improvements, Exponential averaging, mean and trend removal, IIR and FIR filter, data compression techniques(AZTECH, CORTES, K.L transform)

2. DIGITAL AND IMAGING PROCESSING TECHNIQUES LAB

Image data compression techniques, maximum distance algorithm, K-mean algorithm, gradient decent algorithm, LMSE algorithm, Image enhancement-smoothing-sharpening techniques, masking, point- line- edge detection techniques, low pass filtering, high pass filtering, median filtering, prewitt edge, quick edge detectors, cooley-turkey algorithm, fft implementation on an image, reconstruction of parallel projection, reconstruction of fan beam projection, re-sorting algorithm, S.A.R.T(simultaneous algebraic reconstruction technique), S.I.R.T(simultaneous iterative reconstruction techniques)

3. FINAL CAPSTONE PROJECT:

Created a GUI where we did different image processing techniques in our digital image processing class. In our final project we integrated all the techniques learned into one particular GUI and used different push buttons, static text, edit text, axes for input and output images, popup menus to select different techniques from the list and coloring the background for a better representation.

4. MICROCOMPUTER SYSTEM DESIGN

Blood pressure and ECG monitoring system using M6800 where the ECG amplifier was constructed with a gain of 1000, a CMRR (Common mode rejection ratio) of 80dB and a frequency bandwidth of 0.05-100 Hz. The microphone and ECG signals are subjected through a low-pass filter in order to avoid aliasing effect (110 Hz cut off).

5. CORDIC system with Error Correction Capability

Implemented a CORDIC architecture with concurrent error correction abilities using Time-shared Triple Modular Redundancy working on a fault tolerant system. The throughput reduction is about 30% for ripple-carry adders and about 70% for carry-look-ahead, conditional-sum and carry-save units.

6. FILTERS IN MATLAB

Designed a filter, from a .wave file and notched two different frequencies which were actually included with the sound file using MATLAB AND LAB VIEW 8.6. My filter is basically equi ripple and I have designed this filter to separate the arteries and veins of an MRI DICOM image.

7. SOFWARE DEFINED RADIO

Implement a SW code to increase the through put of MEMS, by varying sampling rates using interpolation and decimation techniques. Here we used sensors, actuators, electronic switches, varactors, inductors, filters.

8. COMP AND MATH APPLICATION

Developed a GUI interface module in mat lab for image enhancement, edge detections and image subtraction techniques, here we could pick up the images from the DMC (Detroit Medical Hospital) and started applying masked operations on them such as Sobel filtering, Median filtering, Low pass filtering, High pass filtering, contra harmonic operations, finding the cutoff frequencies and the order for Butterworth filter and Gaussian filtering as a project.

9. DIGITAL SIGNAL PROCESSING IMPLEMENTATIONS

Implementations of DSP algorithms in c and assembly language code using Texas Instruments’ Code Composer Studio IDE in the TMS320C6713 and used the 6416 as the starters DSK kit. This course introduces development tool available to support project development, such as Code Composer Studio. Implementing c code and assembly language code on the DSK, implementing double buffer system using EDMA and McBSP for transfer of data. Implementing Filters using DSK.

10. HIGH PERFORMANCE COMPUTER ARCHITECTURE

Introduction to systems architecture design and tuning techniques in for High Performance Computing; RISC’s, cache, pipelines, hypercube and data-flow.

11. ROBOTICS

In this course we focused mainly on the 6 dof robot which is an arm. We were trained how to generate the transfer function in order for the arm to move only in the work envelop. And finally presented a paper on Da Vinci Surgical system the operation and the sensors, the end effectors used for the surgery. Advantages and disadvantages.

12. ADVANCED DITAL SYSTEM DESIGN

Implementation of different electrical components using the VHDL. The Adder, Carry look ahead adder, comparator, multiplier – using the full adder and the half adder, divider, state flow diagram, state tables, state transition tables, mealy and moore machines, Combinational and sequential circuits, implementing the program in behavioral, structural, and Data flow techniques. Programming the FPGA using the VHDL application. And finally we designed the ALU and a CPU for our final Project.

13. CAPSTONE PROJECT

Developed an application where we could interface TI (Texas Instrumentation) IDK KIT (Image developer’s kit) in order to detect the motion of the moving person using MATLAB and Image Acquisition toolbox under Dr. Lewin shih professor in Computer Engineering department.

PAPER & SEMINAR PRESENTATION, HYDERABAD, INDIA, 2007

1. SEGMENTATION AND COMPRESSION OF BRAIN MR IMAGES

Developed software modules in VC++ for Segmentation, by Canny Edge Detector and Hough Transform, and Compression, through Run Length Encoding and Vector Quantization, of Brain MR Images (bmp and raw format images, including DICOM Image format)

2. IMAGE ACQUISITION TECHNIQUES

Presented a paper on different ways of image acquisition techniques, which would enhance the image to help the physician diagnose clearly. Some of them are: X-Ray, CT, MRI, fMRI, SPECT and PET.

3. PLATFORM 2015

Entering into the world of computing platforms that can deal with terabyte-level. The three areas of interest today is RMS (Recognition, Mining, and Synthesis) where computers can almost communicate with the outside world. Help in different classes of processing capabilities in order to make meaningful use of this enormous sea of information.

COMPUTATIONAL SKILLS

PROGRAMMING LANGUAGES C, C++, MATLAB, Lab view8.6 Assembly Language (8085/86), Code composer studio (DSK 6713), VTK (visualization toolkit), VHDL.

OPERATING SYSTEMS Windows-XP, UNIX, Linux

MS Word, MS Excel, MS Windows

RELEVANT COURSE WORK

MASTER’S: Engineering Applications, Engineering, Pattern Recognition and Neural Networks, Fault Tolerance Computing, Microcomputer System Design, Digital Signal Processing, Digital control systems,Robotics, high performance computer architecture, Software Defined Radio, Engineering physiology, MR Imaging techniques

BACHELOR’S: Electronic devices and circuits, Anatomy and physiology, Unified Modeling Languages, Communication engineering, Digital signal processing, Digital image processing, Medical image processing and pattern recognition, Artificial neural networks, Computer networks, Bio medical signal processing lab.

References furnished upon request

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