1. SABARINATH R
Email:
sabariucet@gmail.com
Cell : +91 7845723536
Contact Details
West Street,
Thaluthalai (PO),
Veppanthattai(TK),
Perambalur(DT),
Tamil Nadu, India.
PIN:621103.
Personal Details
Date of Birth : 27th
sep
1991
Sex : Male
Nationality : Indian
Marital Status : Single
Languages : English,
Known Tamil
Father’s : Ramanathan S
Name
Career Objective
To become a part of an ecosystem consisting of unique
individuals who have the desperation for success and to grow
along with them and my company.
Academic Profile
Post-Graduation:
Course : M.E., Communication systems
(2013–2015*).
Institution : Anand Institute of Higher Technology,
Chennai –603 103.
Performance: CGPA till third semester – 7.2* out of 10.
Under Graduation:
Course :B.E., Electronics and Communication Engineering,
(2009–2013).
Institution :University College Of Engineering,
Tindivanam –604 001
Performance: CGPA – 7.35 out of 10.
School Education
Course
Year of
Passing Institution Board
% of
Marks
XII 2009
Shanthi
Nikethan
Matriculation
Higher
Secondary
School
State Board 93.08
X 2007
Shanthi
Nikethan
Matriculation
Higher
Secondary
School
Matriculation 86.40

2. Technical Skills
 Basic knowledge in programming languages: C, C++, Matlab, Xilinx.
Area of Interest
 Wireless communication
 Computer Networks
 Digital Electronics
Technical Activities
 Attended In-Plant training at BSNL-kallakurichi Division, during June 2011.
Paper presentations
 Presented a paper titled “Green Radio” in National level Technical
Symposium held at Dr. Paul’s engineering college-Vanur.
 Presented a paper titled “Secure Transmission of Image over the Network”
in TECHNITUDE-14 held at VIT-Chennai and got second prize.
Publications
 Sabarinath R, Jegadeesan S and Dr. Venkatalakshmi K (Feb 2014) ‘Image
Encryption Using Modified Particle Swarm Optimization’ International
Journal of Research in Computer and Communication, Vol. 3, issue No.2,
pp.241-246.
 Sabarinath R, Markkandan S(Mar 2105)“Complexity Analysis and
Performance Comparison of Channel Decomposition methods used in MIMO
Precoder Design” International Conference On Wireless Networks & Embedded
Systems Organized By Chitkara Universty, Punjab.
Project
 Completed Under Graduation project in the field of Digital Image Processing in the title “
Image Encryption Using Particle Swarm Optimization” .
The field of encryption is becoming very important in the present era in which information
security is of utmost concern. Security is an important issue in communication and storage of
images, and encryption is one of the ways to ensure security. My project aims at efficient method
for the encryption of image for its secure transmission over the network. My work focuses on pre-
encryption, encryption and decryption part. In pre-encryption the input image is confused using
two methods. First input image is fed into chaotic transform and then each pixel in the transformed
image is converted into equivalent 8 bit binary value and shuffled using predefined value and then
converted back to equivalent decimal value. In the encryption part, pre-encrypted image is encrypted

3. using the key generated from Particle Swarm Optimization. The transmitted image is received at
the receiver and decrypted using the same key value.
Post-Graduation Project:
 Completed project phase 1 in the field of Wireless Communication in the title
“Low complexity design of MIMO precoders”.
The problem in Multiple Input and Multiple Output (MIMO) channels is the separation of the
data streams which are sent in parallel. By the process of precoding at the transmitter, the data
streams are sent in parallel independent subchannels. For that decomposition of channel into
subchannels needs to be performed. In this work, the performance of MIMO precoder using various
channel decomposition techniques are compared and its computational complexity is measured in
terms of floating point operations (FLOPs). The channel decomposition schemes used are Singular
Value Decomposition (SVD), Geometric Mean Decomposition (GMD), LDLH, LU, Schur, QR
and Jordan decomposition. While comparing with all other decomposition schemes, QR
decomposition involves relatively lesser number of FLOPs. The simulation results shows that QR
decomposition outperforms all the other channel decomposition methods in SER performance.
Achievements
 Secured grade C in the Business English Certificate VANTAGE.
 Got school third rank in SSLC and Higher secondary examinations.
 Got third prize in English speech, poem writing, essay writing and dumb charades in
“WINGS-2009” an intra-college cultural competition.
Additional Skills
 Group Activities.
 Managing capability.
 Enthusiasm to Learn.
Extra Curricular Activities
 Player of the Intra college cricket tournament in the year 2013-2014.
 Have participated in the State level science talent search exam organized by
velammal educational trust in the year 2002-2003.
 Student volunteer in Legislative assembly election-2011 & Lokshaba
election-2014.
Hobbies
 Playing Cricket.
 Listening to Music.

4. Declaration
I hereby solemnly declare that the above information provided is true to the best of
my knowledge.
Place: Chennai.
Date: 30/03/2015 Sabarinath R