Ramprakash
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R.S. RAM PRAKASH provides an education and experience summary. He received a B.E. in Electronics and Communication Engineering from Anna University in 2005 and an M.E. in Communication Systems from Anna University in 2007. His experience includes developing control software using MATLAB/Simulink, developing digital filter banks and image processing algorithms, and exposure to avionics standards. He is proficient in C, Assembly languages and MATLAB tools. He published a paper on brain MRI data classification in 2007. His areas of expertise include avionics firmware, image processing using Matlab, c and c++.
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Ramprakash
- 2. About me
- 3. Education Summary 1999 91 State Board S.H.N.V. Higher Secondary School SSLC 4 2001 86 State Board S.H.N.V. Higher Secondary School HSC(12 TH ) 3 2005 72 Anna University, Chennai Jayaram College Of Engineering And Technology B.E. ( Electronics And Communication Engineering) 2 2007 78 Anna University, Chennai Mepco Schlenk Engineering College M.E. (Communication Systems) 1 Year of Passing % of marks University College Degree S.No
- 4. Experience Summary Development of control software and perform control simulation (PID, HIL, etc) and generation of embedded control codes (C2000 and MPC565 processor) with MATLAB/Simulink. Exposure to setting HIL using RT-LAB software and familiar with the creation of dll from MATLAB and SIMULINK. Development of Power on Self Test (POST) using chip support Library (csl) in TI (CCS) environment. Design and development of digital filter banks in Digital Signal Processing (DSP) and implementation of various Image Processing Algorithms. Exposure to System Engineering modeling (SysML) and various Avionics standards such as DO178B, ARINC 429 and FNPT.
- 5. Technical Proficiency Languages: C & Assembly Languages, familiar with C++ concepts. Standards/Protocols: SPI, ARINC429, DO 178B, FNPT –I, SysML, GSM, 3GPP, 3GPP2. MATLAB: Image Processing Toolbox, Neural Network Toolbox, Digital Communication, Simulink//RTW. Compliers/Editors: Code Composer Studio v 3.3, Delphi 7, Intel opencv1.0 Image Processing Library.
- 6. IEEE Publication Paper titled “Performance Evaluation of Kernel Based Techniques for Brain MRI Data Classification ”, published on IEEE Computer Society Press, pp. 456-460, Dec 2007. Digital Object Identifier: 10.1109/ICCIMA.2007.189, ISBN 0-7695-3050-8.
- 7. Domain Expertise Avionics Firmware Image Processing ( Machine Vision, Medical Image Processing) Tools – Matlab, c, c++
- 8. Contacts E-mail : [email_address] Phone : 9739011486