NEWS

Dr. R. Swathika, Assistant Professor in the Department of Information Technology has 23 years of teaching experience, including 8 years of research experience in the field of image processing.

She has completed her Ph.D. from Faculty of Information and Communication Engineering, Anna University, Chennai in the area of satellite image processing during April 2021.She received her M.Tech degree in Computer Science and Engineering with distinction from National Institute of Technology (NIT), Trichy and B.E degree in Computer Science and Engineering with first class from Bharathiyar University, Coimbatore.

She is a recognized supervisor of Anna University.  She is associated with Image processing research group at SSN. She has more than 30 publications in reputed national and international conferences and journals.

She guided the projects in the areas of text mining, human gait analysis, pattern recognition, data analytics, eye gaze tracking, image detection and recognition, image classification, image fusion, emotion recognition and video analysis for UG and PG students.

Areas of Research

Image and Video processing, Artificial Intelligence, Machine Learning, Satellite Image Analysis

Patent Granted

Patent No.: 532276

Patent Ref Number: 202141010949

Title: Real Time Drowsiness and Fatigue Detection For Bikers Using Helmet

Inventors: R. Swathika, I. Joe Louis Paul, S. Sasirekha, Renvitha, Oviyaa

Status: Granted

Year: 2024

Funded Projects

1.Title: Disaster Management System-Next Generation

Funding Agency: SSN Trust

Project Investigators: I. Joe Louis Paul (PI), S. Sasirekha (Co-PI), R. Swathika (Co-PI)

Duration: 2015 – 2017

Sanctioned amount: Rs. 3.05 lakhs

Status:  Completed

2. Title:SSN Indoor Navigation System (SSN-INS)

Funding Agency: SSN Trust

Project Investigators: S. Sasirekha (PI), I. Joe Louis Paul (Co-PI), R. Swathika (Co-PI)

Duration: 2019 – 2021

Sanctioned amount: Rs. 3.0 lakhs

Status:  Completed

3. Title:Analysing Soil Erosion along the Kovalam Coastal stretch using Image Processing

Funding Agency: SSN Trust

Project Investigators:   Dr. R. Swathika (PI), Dr. Sivapriya (Co-PI), Dr N Radha (Co-PI)

Duration: 2023 – 2025

Sanctioned amount: Rs. 1.4 lakhs

Status:  Ongoing

Selected Publications (WoS/Scopus Indexed)

1. R, R. N, Swathika, R, P. N, and M. SUSHITH, “Time Series Analysis of Clinical Dataset Using ImageNet Classifier”, Salud, Ciencia y Tecnología, vol. 4, p. 837, Apr. 2024.
2. Abirami, M.., S., R.., Swathika, R., Rajheshwari, K. C ., & Mohanaprakash, T. A. . (2024). An Extensive Study of Different Types of Leukemia using Image Processing Techniques. International Journal of Intelligent Systems and Applications in Engineering, 12(10s), 586–596.
3. Swathika, R., Natarajan, R. & Kuttathati Srinivasan, V. A Miniaturized Penta-band Metamaterial THz Absorber for Sensing and Imaging Applications. Plasmonics 18, 1933–1940 (2023). https://doi.org/10.1007/s11468-023-01914-w Impact factor: 3.0 – WoS
4. Swathika, R., N. Radha, S. P. Sasirekha, and S. Dhanabal. “Flood susceptibility in urban environment using multi-layered neural network model from satellite imagery sources.” Global NEST Journal, Vol 25, No 8, pp 60-73 (2023). Impact factor: 0.3 – WoS
5. Swathika, R., Natarajan, R. & Kuttathati Srinivasan, V. Miniaturized Multi-Spectral Perfect Metamaterial Absorber for THz Sensing, Imaging and Spectroscopic Applications. Plasmonics 18, 643–651 (2023). https://doi.org/10.1007/s11468-023-01793-1 Impact factor: 3.0 – WoS
6. R, Swathika, and Radha N. “A Layer-Wise Relevance Propagation Based Feature Selection and Hybid Classification Model for Automatic Detection of Parkinson’s Disease Using Gait Signals.” Revista Argentina de Clínica Psicológica 31, no. 1 (2022): 24-35
7. Swathika R et al/ Measuring the accuracy of Satellite Image Dataset using Fusion based Classification with Neural Networks, NeuroQuantology, Sep 2022, Volume 20,Issue 11, Page 3040-3051, doi: 10.14704/NQ.2022.20.11.NQ66314
8. Swathika, R. and Sharmila, T.S., 2020. Multi-model fusion based satellite image classification using versatile unsupervised vector zone (VUVZ) fusion and intensive pragmatic blossoms (IPB) technique. Multimedia Tools and Applications, 79, pp.4239-4260. Impact factor: 3.1 – WoS
9. Swathika, R., and T. Sree Sharmila. “An efficient approach for data mining using PSO with differential evolution for satellite images.” In AIP Conference Proceedings, vol. 2095, no. 1. AIP Publishing, 2019.
10. R, Sharmila, T.S., Image fusion for MODIS and Landsat images using top hat based moving technique with FIS, Cluster Computing (2018). https://doi.org/10.1007/s10586-018-1802-2 Impact factor: 2.6 – WoS