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Prof Gajanan Birajdar

vidwan id: 179809
Male

Professor, Department of Electronics Engineering
Ramrao Adik Institute of Technology, Navi Mumbai

Expertise

  • Imaging Science and Photographic Technology

Publications

Total Articles 39
Books 0
Proceedings 0

Publications

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Scopus

Citations 614
h-index 6

CrossRef

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Citations 210
h-index 5
Google Scholar

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Professional Recognition

2017

Best Instistute Researcher

Ramrao Adik Institute of Technology
2018

Best Instistute Researcher

RAIT

Community & Membership

2007

Indian Society for Technical Education (ISTE)

Life Member
2010

Institution of Electronics & Telecommunication Engineers (IETE)

Life Member
2013

Institution of Engineers, India (IEI)

Life Member

Institution of Engineers, India (IEI)

2014
Life Member (M-147792-1).

Institution of Electronics & Telecommunication Engineers (IETE)

2008
Life Member (M-199424).

Indian Society for Technical Education (ISTE)

2006
Life Member (LM-51312)

Bio

My research interest includes Multimedia forensics, Speech processing, soft computing and Machine learning

Personal Details

  • Male
  • Professor , Ramrao Adik Institute of Technology, Navi Mumbai
  • Sector 7, Nerul, Navi Mumbai, Maharashtra, India
PhD
Nagpur University 2018
MTECH
Other Institute 2004
Professor Nov 2016 – Present
Ramrao Adik Institute of Technology, Navi Mumbai | Department of Electronics Engineering
Assistant Professor - Selection Grade Jan 2013 – Nov 2016
Mahatma Education Societys Pillai HOC College of Engineering and Technology, Rasayani
Assistant Professor - Selection Grade Jun 2005 – Jan 2013
South Indian Education Scocietys College of Engineering, Mumbai
Lecturer Jul 1998 – Jun 2005
KES Degree College, H.No: 6-1, Sai Nagar, Gangavaram, Chittoor Dist. Rural

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Organisations (148+)

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Co-Authors (8)

Gajanan

Prof Gajanan Birajdar

Padmashree Dr D Y Patil Vidyapeeth, Mumbai

R Ganesh

Dr R Ganesh Babu

TRP Engineering College (New)

Mukesh

Dr Mukesh Patil

Padmashree Dr D Y Patil Vidyapeeth, Mumbai

Mukesh

Dr Mukesh Patil

Ramrao Adik Institute of Technology, Navi Mumbai

Smitha

Ms Smitha Raveendran

Padmashree Dr D Y Patil Vidyapeeth, Mumbai

Smitha

Ms Smitha Raveendran

Ramrao Adik Institute of Technology, Navi Mumbai

Vishwesh

Dr Vishwesh Vyawahare

Padmashree Dr D Y Patil Vidyapeeth, Mumbai

Vishwesh

Dr Vishwesh Vyawahare

Ramrao Adik Institute of Technology, Navi Mumbai

Scholarly Work

Implementation of Counter Surveillance System for security application

Funding Agency: University of Mumbai

Principal Co-Investigator

30,000

2018 - 2019

Completed
Low cost OMR software for data collection and examination grading

Funding Agency: University of Mumbai

Principal Investigator

15,000

2014 - 2015

Completed
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A wiping device for the side window of vehicle

Vishwesh Vyawahare
Engineering and Technology Application No. : 20221020885 Filed : 07-04-2022
Published : N/A Filed

A pothole patching bot

Prasiddh Trivedi
Engineering and Technology Application No. : 20221014385 Filed : 16-03-2022
Published : N/A Published

Scholarly Publications

Enhanced brain tumor detection using fractional wavelet transform and artificial neural network

Open Access
Book Chapter
Authors: Bhakti Kaushal ., Mukesh D. Patil ., Gajanan K. Birajdar .,

White Blood Cells Image Classification Using Deep Learning with Canonical Correlation Analysis

Open Access
Article
Authors: A.M. Patil ., M.D. Patil ., G.K. Birajdar .,

Transform domain robust watermarking method using riesz wavelet transform for medical data security and privacy

Open Access
Book Chapter
Authors: Gajanan K. Birajdar ., Vishwesh A. Vyawahare ., Smitha Raveendran ., Pooja Patil .,

Speech/music classification using visual and spectral chromagram features

Open Access
Article

Indian language identification using time-frequency image textural descriptors and GWO-based feature selection

Open Access
Article

Compressed domain secure, robust and high-capacity audio watermarking

Open Access
journal-article

Blind method for low-order interpolation detection in digital images

Open Access
Article

Speech and music classification using spectrogram based statistical descriptors and extreme learning machine

Open Access
Article