Dr. R. Amutha earned her Ph.D degree from faculty of Information and Communication Engineering in the year 2006. In her research, she developed a mathematical model of a product code to correct errors that occur when information is transmitted over a wireless network.

Work Experience:

39 Years (Teaching: 39, Research: 25 years)

• 2026, Professor and Department Coordinator, Department of ECE, SSN School of Engineering, Shiv Nadar University, Chennai
• 2010 – 2026, Professor, Department of ECE, SSN College of Engineering
• 2009 – 2010, Professor and Head, Department of ECE, SVCE
• 2006 – 2009, Professor, Department of ECE, SVCE
• 2001 – 2006, Assistant Professor, Department of IT, SVCE
• 1998 – 2001, Senior Lecturer, Department of IT, SVCE
• 1997 – 1998, Senior Lecturer, Department of ECE, SVCE
• 1993 – 1997, Lecturer, Department of ECE, SVCE
• 1992 – 1993, Project Associate, PSG College of Technology
• 1991 – 1992, Senior Teaching Assistant, PSG College of Technology
• 1990 – 1991, Teaching Assistant, PSG College of Technology
• 1989 – 1990, Lecturer, PSG College of Technology
• 1988 – 1989, Associate Lecturer, PSG College of Technology
• 1987 – 1988, Lecturer, RVS Polytechnic

Projects

• Design of game based communication platform for children with Cerebral Palsy- DST SSTP; Funding amount: 17 lakh, 2019 – 2021.

• Action recognition using sparse based sensor fusion for ambient assisted living – SSN Trust; Funding amount: 1 lakh, 2018 – 2019.

• Application of RFID technology for solving vehicle emission – SSN Trust; Funding amount: 1 lakh, 2017 – 2018

• Energy efficient image communication over wireless sensor network– SSN Trust; Funding amount: 35000, 2014-2015

Publications

(Journals – 76, Conferences – 86, Book Chapters – 3)

List of few publications

1. K. Subhashini, R. Amutha, B. A. Mohammed Hashim, “Chaotic Image Encryption using Two Level Scrambling,” Advances in Electrical and Computer Engineering, vol.25, no.2, pp.27-36, 2025, doi:10.4316/AECE.2025.02004, Thomson reuters, IF 0.23, Q2
2. Subhashini Kumaran,Amutha Ramachandran, “Image Encryption Using Modified Perturbed Logistic Map”, The International Arab Journal of Information Technology (IAJIT) ,Volume 21, Number 05, pp. 866 – 878, September 2024, doi: 10.34028/iajit/21/5/8. (Q2), IF 1.3
3. Mohammed Hashim, B., Amutha, R. Elderly People Activity Recognition Based on Object Detection Technique Using Jetson Nano. Wireless Pers Commun Vol:134,pp. 2041–2057, April 2024. https://doi.org/10.1007/s11277-024-10982-y
4. R. Jansi, R., Amutha, R. Representative-discriminative dictionary learning algorithmfor human action recognition using smartphone sensors Concurrency and Computation: Practice and Experience Vol 35, issue 2 pp 1-16 Jan 2023. (Clarivate Analytics, IF: 0.59)
5. S. Hanis, Stanley, and Ramachandran Amutha. Extended logistic map for encryption of
   digital images” “Extended logistic map for encryption of digital images” International Journal of Nonlinear Sciences and Numerical Simulation, vol. 23, no. 7-8, 2022, pp. 985-1000. https://doi.org/10.1515/ijnsns-2022-0028
6. Mohammed Hashim, B.A., Amutha, R. Deep transfer learning based human activity recognition by transforming IMU data to image domain using novel activity image creation method”, Journal of Intelligent & Fuzzy Systems, pp. 1-8, . Available: 10.3233/jifs-213174 July   (Clarivate Analytics, IF: 1.378)
7. R. Jansi and R. Amutha, “Detection of fall for the elderly in an indoor environment using a tri-axial accelerometer and Kinect depth data,” Multidimensional Systems and Signal Processing, pp.1-19, 2020.
8. S. Hanis and R. Amutha, “A fast double-keyed authenticated image encryption scheme using an improved chaotic map and a butterfly-like structure,” Nonlinear Dynamics, Vol. 95, no. 1, pp. 421-432, 2019.
9. K. Ashwini, and R. Amutha, “Fast and secured cloud assisted recovery scheme for compressively sensed signals using new chaotic system,” Multimedia Tools and Applications,Vol. 77, no. 24, pp. 31581-31606, 2018.
10. M. Kanthimathi, R. Amutha, and K. Senthil Kumar, “Energy efficient differential cooperative MIMO algorithm for wireless sensor networks,” Wireless personal communications, Vol. 103, no. 4, pp. 2715-2728, 2018.
11. R. Ponuma and R. Amutha, “Compressive sensing based image compression-encryption using novel 1D-chaotic map,” Multimedia Tools and Applications, Vol. 77, no. 15, pp. 19209–19234, 2018.
12. K. Senthil, and R. Amutha, “An Algorithm for Energy Efficient Cooperative Communication in Wireless Sensor Networks,” KSII Transactions on Internet & Information Systems, Vol. 10, no. 7, 2016.
13. A.V.Y. Phamila and R. Amutha, “Energy-efficient low bit rate image compression in wavelet domain for wireless image sensor networks,” Electronics Letters, Vol. 51, no. 11, pp. 824-826, 2015.
14. A.V.Y. Phamila and R. Amutha, “Discrete Cosine Transform based fusion of multi-focus images for visual sensor networks,” Signal Processing, Vol. 95, pp. 161-170, 2014.
15. S. Ganesh and R. Amutha, “Efficient and secure routing protocol for wireless sensor networks through SNR based dynamic clustering mechanisms,” Journal of Communications and Networks, Vol. 15, no. 4, pp. 422-429, 2013.
16. A. V. Y. Phamila and R. Amutha, “Low complexity energy efficient very low bit-rate image compression scheme for wireless sensor network,” Information Processing Letters, Vol. 113, no. 18, pp. 672-676, 2013.

Book Chapter

1. K. Ashwini, R. Ponuma, R. Amutha, “Fine motor skills and cognitive development using virtual reality-based games in children, Handbook of Decision Support Systems for Neurological Disorders, Academic Press, 2021, Pages 187-201, ISBN 9780128222713, https://doi.org/10.1016/B978-0-12-822271-3.00006-2.
2. Jansi, R., R. Amutha, and S. Radha. “Remote Monitoring of Children with Chronic Illness Using Wearable Vest” in Telemedicine Technologies, pp. 121-137. Academic Press (Elsevier), 2019.
3. Ponuma, R., and R. Amutha. “Compressive sensing and chaos-based image compression encryption” in Advances in Soft Computing and Machine Learning in Image Processing, pp. 373-392. Springer, Cham, 2018.

Area of Research

• Image Processing
• Activity Recognition
• Machine learning
• Deep learning
• Wireless Sensor networks
• Wireless Communication

Links

Scopus: https://www.scopus.com/authid/detail.uri?authorId=55935866500

Google Scholar: https://scholar.google.com/citations?hl=en&user=in6_Aw0AAAAJ