SiGMA Lab is a research laboratory in the Department of Computer Science and Engineering that promotes research on Signal Processing. Thrust areas include innovative signal processing applications, machine learning and deep learning. Focussed projects include Tribal healthcare, Indian road traffic monitoring and safety, Community detection in social media and Applied Group theory.


Ph.D Students

Mrs. Vidhya S
Mrs. Parvathy Dharmarajan
Mrs. Sneha Kandacharam


S. No Year Project Title
1. 2017-18 Electrolaryngeal Speech Enhancement [1]
2. 2017-18 Object Shapes using Sparse Representations [2]
3. 2017-18 Facial Expression Recommendations
4. 2017-18 Traffic Accident Detection
5. 2017-18 Traffic Incident Detection
6. 2017-18 Radar Signal Processing for Traffic Incidents
7. 2017-18 Radar Sensor Development
8. 2016-17 Dimensionality Reduction using Neural Networks
9. 2016-17 Medical Diagnosis Support System for Remote Healthcare [3]
10. 2016-17 WayFinding for Emergency Services [4]
11. 2016-17 Satellite Feature Extraction for Road Detection
12. 2015-16 Thermal Image Processing – Action Recognition
13. 2015-16 WayFinding through Complex Indoor Environment [5]
14. 2015-16 Time-Series Data [6]
15. 2015-16 Superresolution of Mammography Images [7]
16. 2015-16 Spectral Representation of Principal Components in Signals [8]


  1. Aravind A. V, Raadhikaa S, and Rajathilagam B., Electrolaryngeal Speech Improvement through Phoneme Enhancement, Workshop on Speech Processing for Voice, Speech and Hearing Disorders (WSPD) 2018, INTERSPEECH 2018, Mysore, India. (Accepted).
  2. Bhalaji N., and Rajathilagam B.,Object Shapes from Regular Curves through Sparse Representations”, Procedia Computer Science, Elsevier, RoSMA 2018.
  3. Parvathy Dharmarajan and Rajathilagam B., “Cloud-Based e-Healthcare Service System Design for On-Demand Affordable Remote Patient Care”, IC3T, 2016.
  4. Bharani A., Raadhika S., Akshay Kolli., and Vidhya S., Smartphone Based Interactive Indoor Navigation System, Journal of Advanced Research in Dynamic and Control Systems, pp 953-956, 2018.
  5. Sobika S and Rajathilagam B., “Intelligent System for Wayfinding Through Unknown Complex Indoor Environment”, ISTA, 2016.
  6. Suman S., and Rajathilagam B., Outlier Detection in Time-Series Data: Specific to Nearly Uniform Signals from the Sensors. In: Hemanth D., Smys S. (eds) Computational Vision and Bio Inspired Computing. Lecture Notes in Computational Vision and Biomechanics, vol 28. Springer, Cham, 2018.
  7. Swetha R Nair and Rajathilagam, B., “Super Resolution of Mammograms for Breast Cancer Detection”, International Journal of Applied Engineering Research, June 2015.
  8. Rajathilagam B and Murali Rangarajan, “Spectral Representation of Principal Components in Signals and Images using G-lets Decomposition of Subbands”, IEEE TENCON 2016, Singapore.