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Dr. Ragesh Rajan M.

Assistant Professor, Department of Electronics & Communication Engineering, School of Engineering, Amritapuri

Qualification: B. Tech., M.Tech., Ph.D
rageshrm@am.amrita.edu
Google Scholar Profile
Scopus Author ID
Research Interest: Applications of Machine Learning in Speech, Audio and Image processing
Date of Joining: 30/05/2022
Nature of Association: Regular

Bio Publications
Bio

Completed PhD in Music Signal Processing from National Institute of Technology Karnataka Surathkal in 2021. Completed MTech in Communication Engineering and Signal Processing from Govt Engineering College Thrissur in 2012. Completed BTech in ECE from Govt. Engineering College Thrissur in 2009. Has a teaching experience of 3 years before joining Amrita Vishwa Vidyapeetham in the year 2022. Research interests include Signal and Image Processing, Machine Learning, Remote Sensing.

Area of Specialization

  • Machine Learning
  • Signal Processing
Publications

Journal Article

Year : 2023

A Continuous Time Model for Karnatic Flute Music Synthesis

Cite this Research Publication : Ragesh Rajan M, Deepu Vijayasenan and Shilpa Suresh “A Continuous Time Model for Karnatic Flute Music Synthesis”, in Cogent Engineering, Taylor and Francis, 2023

Publisher : Taylor and Francis

Year : 2022

Enhanced JAYA Optimization based Medical Image Fusion in Adaptive Non Subsampled Shearlet Transform Domain

Cite this Research Publication : Shilpa Suresh, Ragesh Rajan M, Asha CS and Shyam Lal, “Enhanced JAYA Optimization based Medical Image Fusion in Adaptive Non Subsampled Shearlet Transform Domain”, in Engineering Science and Technology, an International Journal, Elsevier Publisher, 2022

Publisher : Elsevier

Year : 2021

Dehazing of Satellite Images using Adaptive Black Widow OptimizationBased Framework

Cite this Research Publication : Shilpa Suresh, Ragesh Rajan M, Jailingam Pushparaj, Asha CS, Shyam Lal, Chinthala Sudhakar Reddy “Dehazing of Satellite Images using Adaptive Black Widow Optimization Based Framework”, in International Journal of Remote Sensing (Taylor & Francis), 42:13, pp 5068-5086,2021

Publisher : Taylor and Francis

Year : 2021

Dehazing of Satellite Images using Adaptive Black Widow Optimization Based Framework

Cite this Research Publication : Shilpa Suresh, Ragesh Rajan M, Jailingam Pushparaj, Asha CS, Shyam Lal, Chinthala Sudhakar Reddy “Dehazing of Satellite Images using Adaptive Black Widow Optimization Based Framework”, in International Journal of Remote Sensing (Taylor & Francis), 42:13, pp 5068-5086,2021

Publisher : Taylor and Francis

Year : 2019

Predicting Gamakas – The Essential Embellishments in Karnatic Music

Cite this Research Publication : Ragesh Rajan M, Deepu Vijayasenan and Ashwin Vijayakumar, “Predicting Gamakas – The Essential Embellishments in Karnatic Music”, in IEEE Access, Vol. 7, pp. 175386-175395, 2019, Impact Factor: 3.367

Publisher : IEEE

Year : 2018

Singing Voice Synthesis System for Carnatic Music

Cite this Research Publication : Ragesh Rajan M, “Singing Voice Synthesis System for Carnatic Music”, in Proc. 5th International Conference on Signal Processing and Integrated Networks (SPIN), Noida, 2018, pp. 831-835

Publisher : IEEE

Conference Paper

Year : 2021

NISP: A Multi-lingual Multi-Accent Dataset for Speaker Profiling

Cite this Research Publication : Shareef Babu Kalluri, Deepu Vijayasenan, Sriram Ganapathy, Ragesh Rajan M, Prashant Krishnan, “NISP: A Multi-lingual Multi-Accent Dataset for Speaker Profiling”, in Proc. International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2021, pp. 6953– 6957, 2021

Publisher : IEEE

Year : 2018

Prediction of Aesthetic Elements in Karnatic Music: A Machine Learning Approach

Cite this Research Publication : Ragesh Rajan M, Deepu Vijayasenan and Ashwin Vijayakumar, “Prediction of Aesthetic Elements in Karnatic Music: A Machine Learning Approach”, in Proc. Interspeech 2018, pp. 2042-2046, 2018.
Publisher: International Speech Communication Association

Publisher : International Speech Communication Association

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