Ph.D./Direct Ph.D. Programme - 2024 July Session – Apply Now Careers VIT Vellore VIT – AP VIT Bhopal VIT Bangalore

Dr. Vijayarajan R

Associate Professor

Email: vijayarajan.r@vit.ac.in

PhD: Anna University

Research Area: Image Processing, Computer Vision, Medical Image Analysis

Employee ID51450
Intercom1449
Educational details (Please mention all the degrees with latest first)
DegreePassed out yearSpecializationInstitute/University/ College
PhD2015Image ProcessingAnna University
M.E.1999Applied ElectronicsMadurai Kamaraj University
B.E.1998ECEUniversity of Madras
Research Details
Areas of SpecializationComputer Vision, Machine Learning, Image processing
ORCID IDhttps://orcid.org/my-orcid?orcid=0000-0003-0562-4472
Scopus IDhttps://www.scopus.com/authid/detail.uri?authorId=55005973900
H-index (scopus)6
Google Scholar IDhttps://scholar.google.com/citations?user=pfTwoKkAAAAJ&hl=en
i10 index5
Completed Consultancy Project Details               
Completed Consultancy Project TitleFunding Agency
Document Detection PipelineSamsung Prism
Patent Published Details
Patent Published TitlePatent Published Application No.
Biometric based personalized image cryptosystem202041040771
Book / Book Chapter Published Details
TitlePublisherYear
Sangeetha N, Anita X and Vijayarajan R, Chapter 11: Medical Image Watermarking: A Review on Wavelet-Based Methods, Signal and Image Processing Techniques for the Development of Intelligent Healthcare Systems,  pp. 203-221.Springer Nature, https://doi.org/ 10.1007/978-981-15-6141-2_11. (Scopus)2020
Vijayarajan R, Sangeetha N, Karthik R, KethepalliMallikarjuna, Chapter 8: Performance Analysis of VGG19 Deep learning network based Brain Image Fusion, In book: Handbook of Research on Deep Learning-Based Image Analysis Under Constrained and Unconstrained Environments, pp. 145-166.IGI Global DOI: 10.4018/978-1-7998-6690-9.ch008.2021
Karthik.R, Nandana B, MayuriPatil, ChandreyeeBasu, Vijayarajan R, Chapter 15: Performance Analysis of GAN Architecture for Effective Facial Expression Synthesis, In book: Handbook of Research on Deep Learning-Based Image Analysis Under Constrained and Unconstrained Environments, pp. 290-316.IGI Global DOI: 10.4018/978-1-7998-6690-9.ch0152021
Major International CollaborationDetails  – AcademicCollaboration Details
Type of collaboration (Research & publication/Funded Project/consultancy etc.), collaborating institute, year of collaboration
Research & publication

Department of Electronic Engineering, Shantou University, Shantou, Guangdong, China, 2021-2022

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