Dr. Chandra Mouli P.V.S.S.R.

Dr. Chandra Mouli P.V.S.S.R.

Name: Dr. Chandra Mouli P.V.S.S.R.
Designation: Associate Professor & Head
Phone: 9865605025
Email: chandramouli@cutn.ac.in


Biographic Sketch:
Dr. Chandra Mouli P.V.S.S.R. is an Associate Professor in the Department of Computer Science, Central University of Tamil Nadu since December 2019. His research interests are Digital Image Processing, Machine Learning, Deep Learning, Digital Watermarking, Hyper-spectral Imaging. He earned his PhD from National Institute of Technology (N.I.T.) Trichy in 2010 under the supervision of Dr. T.N. Janakiraman. He worked as a JRF in a research project sponsored by DRDO, New Delhi while pursuing Ph.D. Prior to joining CUTN, he was associated with VIT University, Vellore from 2009 to 2018 in the capacities of Associate Professor and Professor. Later he moved to National Institute of Technology, Jamshedpur as Assistant Professor during June 2018 to December 2019. Three research scholars have completed Ph.D. under his guidance. He has guided several B.Tech., M.Tech., and M.Sc. students. He has executed two research projects sponsored by DRDO, New Delhi one as a principal investigator and the other as co-investigator. He is a reviewer for many reputed SCI/SCIE indexed journals that include Multimedia Tools and Applications, IET Image Processing, etc.

Research Highlights :

Currently I am working on image enhancement, watermarking areas using machine learning and deep learning concepts. In addition, I am associated with Dr. K.C. Santosh from University of South Dakota and Dr. Byoung-Kwan Cho from Chungnam National University South Korea. My Indian collaborators like Dr. G.G. Lakshmi Priya, Dr. R. Srinivasa Perumal from VIT Vellore and Chennai respectively.

Recent Publications :

Vaidya, S. P., and Chandra Mouli, PVSSR., (2023). Robust digital color image watermarking based on compressive sensing and DWT. Multimedia Tools and Applications, 1-15.

Soundrapandiyan, R., Satapathy, S. C., Chandra Mouli, PVSSR.., and Nhu, N. G. (2022). A comprehensive survey on image enhancement techniques with special emphasis on infrared images. Multimedia Tools and Applications, 1-33.

Karthik, S., Srinivasa Perumal, R., and Chandra Mouli, P. V. S. S. R. (2018). Breast cancer classification using deep neural networks. Knowledge Computing and Its Applications: Knowledge Manipulation and Processing Techniques: Volume 1, 227-241.

Prasanth Vaidya, S., and Chandra Mouli, PVSSR., (2017). A robust semi-blind watermarking for color images based on multiple decompositions. Multimedia Tools and Applications, 76, 25623-25656.

Srinivasa Perumal, R., and Chandra Mouli, PVSSR., (2016). Dimensionality reduced local directional pattern (DR-LDP) for face recognition. Expert Systems with Applications, 63, 66-73.

Prakash, C., Rajkumar, S., and Chandra Mouli, PVSSR., (2012, April). Medical image fusion based on redundancy DWT and Mamdani type min-sum mean-of-max techniques with quantitative analysis. In 2012 International conference on recent advances in computing and software systems (pp. 54-59). IEEE.

Vaidya, S. P., and Chandra Mouli, PVSSR., (2015). Adaptive digital watermarking for copyright protection of digital images in wavelet domain. Procedia Computer Science, 58, 233-240.

Soundrapandiyan, R., and Chandra Mouli, PVSSR., (2015). Adaptive pedestrian detection in infrared images using background subtraction and local thresholding. Procedia Computer Science, 58, 706-713.

Prasanth Vaidya, S., and Chandra Mouli, PVSSR., (2018). Adaptive, robust and blind digital watermarking using Bhattacharyya distance and bit manipulation. Multimedia Tools and Applications, 77, 5609-5635.

Rajkumar, S., and Chandra Mouli, PVSSR., (2014). Infrared and visible image fusion using entropy and neuro-fuzzy concepts. In ICT and Critical Infrastructure: Proceedings of the 48th Annual Convention of Computer Society of India-Vol I: Hosted by CSI Vishakapatnam Chapter (pp. 93-100). Springer International Publishing."

Select Language