System Project

CURRICULUM VITAE

Mahesh B

( abn3n5@r.postjobfree.com

( +91-994*******

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To associate with an organization that gives me scope

to apply my knowledge and enhancing skills for the growth of the

organization by taking up challenges and establish unique identity.

QUALIFICATION INSTITUTION BOARD/ YEAR OF PERCENTAGE

UNIVERSITY PASSING

J.N.T.U J.N.T.

M. Tech College Of Engg, University, 2012 81%

Anantapur, AP

Pulivendula

J.N.T.

B. Tech PBRVITS, University, 2009 70%

Kavali Hyderabad, AP

PUC Sri Vivekananda Board of 2005

College, Vinjamur Intermediate 93.9%

Education

Vivekananda High Board of 2003

S.S.C School, Vinjamur Secondary

Education 89%

. Languages known : C, C++, Linux Scripting

. Packages : MS Office

. Operating Systems : Windows, Linux

. Electronics subjects : Embedded Systems, STLD, EDC

. Good Analytical and Communication Skills,

. Respond positively to a challenge with patience and tolerance,

. Determination and Commitment towards work,

. Excel in the Field chosen & believe more in Team work.

REAL TIME WIRELESS BRAIN:

. A real-time wireless electroencephalogram (EEG)-based brain-computer

interface (BCI) system for drowsiness detection has been proposed.

Drowsy driving has been implicated as a causal factor in many

accidents. Therefore, real-time drowsiness monitoring can prevent

traffic accidents effectively. However, current BCI systems are

usually large and have to transmit an EEG signal to a back-end

personal computer to process the EEG signal. So a novel BCI system is

proposed to monitor the human cognitive state and provide biofeedback

to the driver when drowsy state occurs. The proposed system consists

of a wireless physiological signal-acquisition module and an embedded

signal-processing module. Here, the physiological signal-acquisition

module and embedded signal-processing modules have to be designed for

long-term EEG monitoring and real-time drowsiness detection,

respectively.

. The advantages of low power consumption and small volume of the

proposed system are suitable for car applications. A real-time

drowsiness detection algorithm is to be developed and implemented in

this system.

Date of Birth : 15th JUN 1988

Gender : Male

Nationality : Indian

Father : B. Malyadri

Address : Bangla Center, Vinjamur, Nellore-28, AP.

Phone : +91-994*******

Languages known : English, Hindi and Telugu.

Hobbies : Playing cricket & Listening to

music.

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ACADEMIC PROFILE:

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