Faculty & Staff
Contact
- Email sboopathiraja.cs.et@msruas.ac.in
- Phone 9597202330
- Websites
Dr. S.Boopathiraja
Assistant Professor
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School/College
Faculty of Engineering and Technology
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Department
Department of Computer Science and Engineering
Dr. S. Boopathiraja is a distinguished Assistant Professor at the Department of Computer Science and Engineering, Ramaiah University of Applied Sciences, Bangalore boasting an impressive educational journey and a wealth of expertise. With a Ph.D. in Computer Science at The Gandhigram Rural Institute (Deemed to be University), his areas of specialization encompass Image Processing, Machine Learning, Deep Learning & AI, Natural Language Processing, and Computer Vision.
As an educator, researcher, and industry practitioner, Dr. S. Boopathiraja embodies a holistic approach to computer science. His exceptional educational background, extensive expertise, industry insights, impactful research output, and dedication to teaching collectively define his role as a pivotal figure within the academic and professional landscape.
Qualifications
- PhD
The Gandhigram Rural Institute (Deemed to be University), 2020
- M.Phil
The Gandhigram Rural Institute (Deemed to be University), 2016
- MCA
Institute of Road and Transport Technology, 2015
- B.Sc. (Mathematics)
The Gandhigram Rural Institute (Deemed to be University), 2012
Total Years of Experience: 5 Years/5 months
Academic Experience:
Assistant Professor, Jain (Deemed to be University).
Assistant Professor, Karpagam Academy of Higher Education (Deemed to be University).
Academic Experience: Data Scientist, NDS INFOSERVE,Mumbai
Medical Image Compression, Natural Language Processing, Image Processing
Biomass Renewable Energy: Introduction and Application of AI and IoT. AI-Powered IoT in the Energy Industry. Power Systems. Springer, Cham. https://doi.org/10.1007/978-3-031-15044-9_8
Reviewer of 5+ SCI Indexed journals
International Journal Papers
- Boopathiraja, S., Punitha, V., Kalavathi, P. & Suryaprasath, V.B., 2022. Computational 2D and 3D medical image data compression models. Archives of Computational Methods in Engineering (ARCO), 29, pp.975–1007. DOI: 10.1007/s11831-021-09602-w (Impact factor:9.9)
- Boopathiraja, S., Kalavathi, P., Deoghare, S. & Surya Prasath, V.B., 2022. Near lossless compression for 3D radiological images using optimal multilinear singular value decomposition (OMLSVD). Journal of Digital Imaging, August DOI: 10.1007/s10278-022-00687-8. (Impact factor:5.4)
- Boopathiraja, S., Kalavathi, P. & Suryaprasath, V.B., 2021. On a hybrid lossless compression technique for three-dimensional medical images. Journal of Applied Clinical Medical Physics, 22(8). DOI: 10.1002/acm2.12960. (Impact factor:2.1)
- Boopathiraja, S. & Kalavathi, P., 2021. A near lossless three-dimensional medical image compression technique using 3D-discrete wavelet transform. International Journal of Biomedical Engineering and Technology, 35(3). DOI: 10.1504/IJBET.2021.113731.
- Boopathiraja, S., Kalavathi, P. & Dhanalakshmi, C., 2019. Significance of image compression and its upshots – A survey. International Journal of Scientific Research in Computer Science, Engineering and Information Technology. DOI: 10.32628/CSEIT1952321.
- Boopathiraja, S., Kalavathi, P. & Chokkalingam, S., 2018. A hybrid lossless encoding method for compressing multispectral images using LZW and arithmetic coding. International Journal of Computer Sciences and Engineering, 6(4), pp.313-318.
- Boopathiraja, S. & Kalavathi, P., 2018. A near lossless multispectral image compression using 3D-DWT with application to LANDSAT images. International Journal of Computer Sciences and Engineering, 6(4), pp.332-336.
- Boopathiraja, S., Kalavathi, P. & Geethalakshmi, M., 2018. Performance analysis of multispectral color composite image enhancement technique using decorrelation stretching and histogram equalization methods. International Journal of Computer Sciences and Engineering, 6(4), pp.319-323.
- Kalavathi, P., Naganandhini, S., Christy, A.A.A. & Boopathiraja, S., 2017. Detection of Alzheimer disease in human MRI head scans using spatial fuzzy clustering with level set method. International Journal of Engineering, Science and Mathematics, 6(7), pp.68-74.
- Boopathiraja, S. & Kalavathi, P., 2017. A medical image compression technique using 2D-DWT with run length encoding. Global Journal of Pure and Applied Mathematics, 13(5), pp.87-96.
- Kalavathi, P., Boopathiraja, S. & Abinaya, M., 2017. Despeckling of ultrasound medical images using DW and WP transform techniques. International Journal of Engineering and Technology (IJET), 9(3). DOI: 10.21817/ijet/2017/v9i3/170903315.
- Kalavathi, P., Naganandhini, S., Durga, S.G. & Boopathiraja, S., 2017. An automated segmentation of human iris for biometric identification. Indian Journal of Computer Science and Engineering, 8(3).
- Kalaiselvi, T., Boopathiraja, S. & Sriramakrishnan, P., 2016. ROI-based hybrid compression techniques for transferring MRI brain images. International Journal of Computer Science Trends and Technology (IJCST), 4(4), pp.270-277.
National Conference Papers
- Kalavathi, P. & Boopathiraja, S., 2017. A wavelet-based image compression with RLC encoder. Proceedings of the National Conference on Computational Methods, Communication Techniques and Informatics (NCCVNI), pp.68-74.
- Kalavathi, P., Boopathiraja, S. & Abinaya, M., 2017. Removal of speckle noise in ultrasound images using spatial filters. Proceedings of the National Conference on Computational Methods, Communication Techniques and Informatics (NCCVNI), pp.68-74.
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