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Dr. Rajathilagam B.

Principal, Amrita School of Computing, Amaravati | Principal, Amrita School of Engineering, Amaravati

Qualification: Ph.D
b_rajathilagam@cb.amrita.edu
Research Interest: Applied Group Theory, Deep Learning, Machine Learning, Signal Processing

Bio

Dr. B. Rajathilagam is currently serves as Principal, Amrita School of Computing, Amaravati, with the additional charge of Principal, Amrita School of Engineering, Amaravati. She completed her Ph. D. in 2013 under Centre for Excellence in Computational Engineering, Amrita Vishwa Vidyapeetham, Coimbatore campus. Amrita Vishwa Vidyapeetham is a Zonal Partner in leadinindia.ai initiative.

 

Publications

Journal Article

Year : 2020

An Artificial Neural Network Model for Timescale Atomic Clock Ensemble Algorithm

Cite this Research Publication : S. R. Nandita, Maharana, S., Dr. Rajathilagam B., T. Ganesh, S., and Krishnamoorthy, S., “An Artificial Neural Network Model for Timescale Atomic Clock Ensemble Algorithm”, MAPAN- Journal of Metrology Society of India, vol. 35, no. 4, pp. 547 - 554, 2020.

Publisher : MAPAN- Journal of Metrology Society of India

Year : 2018

Outlier detection in time-series data: Specific to nearly uniform signals from the sensors

Cite this Research Publication : S. Suman and Dr. Rajathilagam B., “Outlier detection in time-series data: Specific to nearly uniform signals from the sensors”, Lecture Notes in Computational Vision and Biomechanics, vol. 28, pp. 697-704, 2018.

Publisher : Lecture Notes in Computational Vision and Biomechanics

Year : 2018

Object Shapes from Regular Curves through Sparse Representations

Cite this Research Publication : B. Nagarajan and Dr. Rajathilagam B., “Object Shapes from Regular Curves through Sparse Representations”, Procedia Computer Science, vol. 133, pp. 635 - 642, 2018.

Publisher : Procedia Computer Science

Year : 2017

Reducing the cold-user and cold-item problem in recommender system by reducing the Spectral representation of principal components in signals and images using G-lets decomposition of sub bands

Cite this Research Publication : Dr. Rajathilagam B. and Dr. Murali Rangarajan, “Reducing the cold-user and cold-item problem in recommender system by reducing the Spectral representation of principal components in signals and images using G-lets decomposition of sub bands”, IEEE Region 10 Annual International Conference, Proceedings TENCON, pp. 3809 -3812., 2017.

Publisher : IEEE Region 10 Annual International Conference, Proceedings TENCON

Year : 2017

Edge detection using G-lets based on matrix factorization by group representations

Cite this Research Publication : Dr. Rajathilagam B. and Dr. Murali Rangarajan, “Edge detection using G-lets based on matrix factorization by group representations”, Pattern Recognition, vol. 67, pp. 1-15, 2017.

Publisher : Pattern Recognition, Elsevier Ltd,

Year : 2015

Super resolution of mammograms for breast cancer detection

Cite this Research Publication : R. Shwetha and Dr. Rajathilagam B., “Super resolution of mammograms for breast cancer detection”, International Journal of Applied Engineering Research, vol. 10, pp. 21453-21465, 2015.

Publisher : International Journal of Applied Engineering Research

Year : 2015

Comparison of Image Segmentation Algorithms

Cite this Research Publication : S. C, Sandeep, R., and Dr. Rajathilagam B., “Comparison of Image Segmentation Algorithms”, International Journal of Applied Engineering Research (IJAER), 2015.

Publisher : International Journal of Applied Engineering Research (IJAER)

Year : 2012

G-Lets: A New Signal Processing Algorithm

Cite this Research Publication : Dr. Rajathilagam B., Dr. Murali Rangarajan, and Dr. Soman K. P., “G-Lets: A New Signal Processing Algorithm”, International Journal of Computer Applications, vol. 37 , no. 6, pp. 1-7, 2012.

Publisher : International Journal of Computer Applications

Year : 2012

Frequency analysis of signals and images using G-Lets

Cite this Research Publication : Dr. Rajathilagam B., Rangarajan, M., and Soman, K. P., “Frequency analysis of signals and images using G-Lets”, International Journal of Imaging and Robotics, vol. 8, pp. 30-48, 2012.

Publisher : International Journal of Imaging and Robotics

Year : 2012

G-Lets: Signal Processing Using Transformation Groups

Cite this Research Publication : Dr. Rajathilagam B., Dr. Murali Rangarajan, and Dr. Soman K. P., “G-Lets: Signal Processing Using Transformation Groups”, vol. arXiv:1201.2995v1, 2012.

Publisher : vol. arXiv:1201.2995v1

Conference Paper

Year : 2017

Spectral representation of principal components in signals and images using G-lets decomposition of subbands

Cite this Research Publication : Dr. Rajathilagam B. and Dr. Murali Rangarajan, “Spectral representation of principal components in signals and images using G-lets decomposition of subbands”, in IEEE Region 10 Annual International Conference, Proceedings/TENCON, 2017, pp. 3809-3812.

Publisher : IEEE Region 10 Annual International Conference, Proceedings/TENCON, Institute of Electrical and Electronics Engineers

Year : 2017

Cloud-Based e-Healthcare Service System Design for On-Demand Affordable Remote Patient Care

Cite this Research Publication : P. Dharmarajan and Dr. Rajathilagam B., “Cloud-Based e-Healthcare Service System Design for On-Demand Affordable Remote Patient Care”, in Computer Communication, Networking and Internet Security, Singapore, 2017.

Publisher : Computer Communication, Networking and Internet Security

Year : 2016

Intelligent System for Wayfinding through Unknown Complex Indoor Environment

Cite this Research Publication : S. S. and Dr. Rajathilagam B., “Intelligent System for Wayfinding through Unknown Complex Indoor Environment”, in Intelligent Systems Technologies and Applications 2016, Cham, 2016, vol. 530, pp. 759-770.

Publisher : Intelligent Systems Technologies and Applications 2016, Springer International Publishing.

Year : 2007

An Adaptive Communication Model for Large Wireless Sensor Networks

Cite this Research Publication : Dr. Rajathilagam B. and Prakash, K. S. S., “An Adaptive Communication Model for Large Wireless Sensor Networks”, in 2007 2nd International Conference on Pervasive Computing and Applications, 2007.

Publisher : 2007 2nd International Conference on Pervasive Computing and Applications

Year : 2004

Techniques for Secure Communication in Emerging Wireless Ubiquitous Networks

Cite this Research Publication : Dr. Rajathilagam B., Rangan, D. P. Venkat, and , “Techniques for Secure Communication in Emerging Wireless Ubiquitous Networks”, in The International conference on High Power Computing (HiPC), Bangalore, India, 2004.

Publisher : The International conference on High Power Computing (HiPC)

Conference Proceedings

Year : 2018

Electrolaryngeal Speech Improvement through Phoneme Enhancement

Cite this Research Publication : A. A. V, S, R., and Dr. Rajathilagam B., “Electrolaryngeal Speech Improvement through Phoneme Enhancement”, Workshop on Speech Processing for Voice, Speech and Hearing Disorders (WSPD) 2018, INTERSPEECH 2018, Mysore, India. . 2018.

Publisher : Workshop on Speech Processing for Voice, Speech and Hearing Disorders (WSPD) 2018, INTERSPEECH 2018, Mysore, India.

Year : 2015

Dynamic Context-specific User Profiles by Regression Modelling

Cite this Research Publication : Dr. Rajathilagam B., Murali, R., and Balaji, B., “Dynamic Context-specific User Profiles by Regression Modelling”, Proceedings of GSTF CGAT. 2015.

Publisher : Proceedings of GSTF CGAT

Year : 2005

Naming, Location tracking, Synchronizing and Aggregating Wireless Sensor Networks

Cite this Research Publication : Dr. Rajathilagam B., Jayaraj, B., and Rangan, D. P. Venkat, “Naming, Location tracking, Synchronizing and Aggregating Wireless Sensor Networks”, In the proceedings of SPIE, Optics East 2005, Boston, USA., vol. 5993. pp. 5993 - 17, 2005.

Publisher : Optics East 2005, Boston, USA

Year : 2004

Techniques for Secure Communication in Emerging Wireless Ubiquitous Networks

Cite this Research Publication : Dr. Rajathilagam B., Rangan, D. P. Venkat, and , “Techniques for Secure Communication in Emerging Wireless Ubiquitous Networks”, in The International conference on High Power Computing (HiPC), Bangalore, India, 2004.

Publisher : The International conference on High Power Computing (HiPC)

Thesis

Year : 2013

G-lets: A New Signal Processing Algorithm

Cite this Research Publication : Dr. Rajathilagam B., “G-lets: A New Signal Processing Algorithm”, 2013.

Publisher : Computer Science, Volume Ph.D Thesis

Projects
Sl. No. Agency Project Title Status
1 ISRO-RESPOND Automation of Transport and Building Feature Extraction using Deep Learning with Super-Resolution Enhancement of Satellite Imagery Ongoing
2. LAM Research LAM Research,  Generic Bayesian Network Model for Detection of Etch Profile from USA Ongoing
Research Projects
  1. G-lets Signal Processing for Functional Approximation in Neural Networks
  2. Artificial Intelligence Systems for Intelligent Transportation Infrastructure on Indian Roads
  3. Graph Signal Processing Filters
  4. Geo-spatial 3D Modelling and Augmented Reality for Smart City Planning and Design
  5. Real-Time Traffic Incident Detection and Prediction with Machine Learning Tools on Indian Road Networks
  6. Multi-attribute Utility Model to Scrutinize Patient Data using Machine Learning and Deep Learning for Medical Decision Support System in Remote Healthcare
Ph. D. Students
  • Mrs. Vidhya Sudevan
  • Mrs. Parvathy Dharmarajan
  • Mrs. Sneha Kandacharam
Master’s Student Research Projects
  1. Object Shapes from Regular Curves through Sparse Representation
Undergraduate Student Research Projects
  1. Electrolaryngeal Speech Improvement through Phoneme Replacement
  2. Tracking and Radar Sensor models for Road Transport Safety Systems
  3. Road Traffic Incident Detection
  4. Obstacle Detection with Radar Image Sensing
  5. Facial Expression Improvement Recommendations for Individuals
Admissions Apply Now