CURRICULAM VITAE
M.V.S.Mahendra Reddy
S.R.Nagar, Hyderbad-38 E-mail:
********.*.******@*****.***
Andhra Pradesh, India. Phone: +91-846*******
Objective:
To work in an organization that utilizes my strong analytical and
programming skills adding value to the organization and myself
Education:
COURSE PLACE INSTITUTION YEAR OF PERCENTAGE
PASSING
M.Tech Hyderabad MallaReddy College 2014 70%
of Engg& Tech
(JNTU H)
B.E VANDAVASI Thiruvalluvar 2011 63%
(Chennai) College Of
Engg&Tech
(ANNA University)
INTERMEDIATE THIRUPATI Rayalaseema 2006 70%
Jr.College
Kiran English 2004 69%
SSC THIRUPATI Medium High School
Strengths:
> Adaptability
> Flexibility
> Optimistic
> Hard working.
> Self Motivated
Weakness:
> I can't say no when someone ask for help
> I am a bit lazy about which i am not interested.
Technical Skills:
Operating System Win 9X, Win XP, 2003
Languages MS Office, SQl
Academic Project 1:
Project Title: Fingerprint Based On the Watermarking Concept. Doing in
Chennai.
Brief Overview of Project:
This project titled Fingerprint Based Digital Content Protection Using
Watermarking Concept using Bluetooth and is done in MATLAB software and it
is a real-time project.
The scope of this project is to protect the data during transmission
from one system to another system either wired or wireless using
watermarking concept. The data which is going to transmit is merged with
the fingerprint of authorized person using watermarking concept, which
result in Data with Fingerprint. This result is watermarked with cover
image and then final result will be visible same as cover image.
Academic Project 2:
Project Title: Detection and Classification of Vehicles from Video Using
Multiple Time- Spatial Images. Doing in Hyderabad.
Brief Overview of Project:
Detection and classification of vehicles are two of the most
challenging tasks of video-based intelligent transportation system.
Traditional detection and classification methods are computationally highly
expensive and become unsuccessful in many cases such as occlusion among the
vehicles and when differences between pixel intensities of vehicles and
backgrounds are small. In this paper, a novel detection and classification
method is proposed using multiple time-spatial images (TSIs), each obtained
from a virtual detection line on the frames of a video. Such a use of
multiple TSIs provides the opportunity to identify the latent occlusions
among the vehicles and to reduce the dependencies of the pixel intensities
between the still and moving objects to increase the accuracy of detection
performance as well as to achieve an improved classification performance.
In order to identify the class of a particular vehicle, a two-step k
nearest neighborhood classification scheme is proposed by utilizing the
shape-based, shape-invariant, and texture-based features of the segmented
regions corresponding to the vehicle appeared in appropriate frames that
are determined from the TSIs of the video.
Extensive experimentations are carried out in vehicular traffics of
varying environments to evaluate the detection and classification
performance of the proposed method, as compared with the existing methods.
Experimental results demonstrate that the proposed method provides a
significant improvement in counting and classifying the vehicles in terms
of accuracy and robustness alongside a substantial reduction of execution
time, as compared with that of the other methods.
Personal Profile:
Name : M.V.S.Mahendra Reddy
Date of Birth : 24-06-1988.
Father's name : M.Sambamurthy Reddy
Sex : Male
Marital Status : Single
Languages Known : English, Telugu
Nationality : Indian
Permanent Address : 7-1-198, Gandhi Nager, Sidhavatum Road
Badvel, Kadapa (Dist), Andhra Pradesh
Pin - 516227
Declaration:
I hereby declare that the above mentioned information is true to my
knowledge and up to date. If appointed in your esteemed company, would work
with dedication and prove myself as a committed member.
Date:
Place: (M.V.S.Mahendra Reddy)