| Research, Consultancy, Publication |
- Aswathy Madhu and Suresh K., “RQNet: Residual Quaternion CNN for Performance Enhancement in Low Complexity Device Robust Acoustic Scene Classification”, in IEEE Transactions on Multimedia (2023), https://doi.org/10.1109/TMM.2023.3241553. (SCI).
- Aswathy Madhu and Suresh K., “A Convolutional Model with Multi-Scale Feature Fusion, Duo Pooling, and Fusion Loss for Acoustic Scene Classification”, in Proc. 9TH IEEE International Women in Engineering (WIE) Conference on Electrical and Computer Engineering (WIECON-ECE 23), Thiruvananthapuram, India, Nov 25 – 26, 2023.
- Aswathy Madhu and Suresh K., “EnvGAN: A GAN-based augmentation to improve Environmental Sound Classification”, Artificial Intelligence Review (2022), Springer. https://doi.org/10.1007/s10462-022-10153-0 (SCIE).
- Aswathy Madhu and Suresh K., “AtResNet: Residual Atrous CNN with multi-scale feature representation for low complexity Acoustic Scene Classification”, Circuits, Systems, and Signal Processing (2022), Springer. https://doi.org/10.1007/s00034-022-02107-2 (SCIE).
- Aswathy Madhu and Suresh K., “EHTNet: Twin-pooled CNN with Empirical Mode Decomposition and Hilbert Spectrum for Acoustic Scene Classification”, in Proc. 14th IEEE International Conference on Signal Processing and Communications (SPCOM-22), Bengaluru, India, Jul 11 – 15, 2022.
- Aswathy Madhu and Suresh K., “SiamNet: Siamese CNN based Similarity Model for Adversarially Generated Environmental Sounds”, in Proc. 31st IEEE International Workshop on Machine Learning for Signal Processing (MLSP-21), Gold Coast, Australia, Sep 25 – 28, 2021.
- Madhu, A. and Suresh, K. (2019) Improved Deep CNN with Reduced Parameters for Automatic Identification of Environmental Sounds. International Journal of Engineering Research & Technology (IJERT), 7, 1-3.
- Aswathy Madhu and Suresh K., “Data augmentation using Generative Adversarial Network for Environmental Sound Classification”, in Proc. 27th European Signal Processing Conference (EUSIPCO-19), Spain, Sep 2 – 6, 2019, pp. 1–5.
- Baby, Mina & Madhu, Aswathy & R P, Aneesh. (2017). Biomedical Image Integrity Check for Telemedicine Applications by Hash Embedding & Wavelet Compression. 178-185.10.1109/NETACT.2017.8076763.
- Baby, Mina & Madhu, Aswathy. (2017). Steganography Based Biomedical Data Integrity Control with Lossless Compression. International Journal of Advanced Research Trends in Engineering and Technology (IJARTET). 4. 51-59.
- Aswathy Madhu, Jayasree V.K., and Vinu Thomas, “A Survey Paper on Time-Frequency Analysis of EEG signal”, Progress In Science & Engineering Research (PISER), Vol.02, Issue: 03/06 May- June; Bimonthly International Journal, pp 046 – 051, 2014.
- Aswathy Madhu, Jayasree V.K., and Vinu Thomas, “Seizure Detection in Epileptic EEGs using Short Time Fractional Fourier Transform”, International Journal of Advances in Engineering and Emerging Technology (IJAEET), Vol. 2, Issue 1, pp 255 – 262, July 2013.
- Aswathy Madhu, Jayasree V.K., and Vinu Thomas, “Automatic Epileptic Seizure Detection in EEGs using Time-Frequency Analysis and Probabilistic Neural Network”, ICACC-2012, IEEE International Conference on Advances in Computing and Communication, Cochin, 9 – 11 August 2012.
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| Academic / Professional Outreach Activities |
Reviewer of Conference Papers – ICCC 2025, ETIS 2025, WASPAA 2025, Reviewer of Journal Papers – Frontiers in Computer Science, International Journal of Data Science and Analytics, Multimedia Systems, npj Acoustics, Pattern Analysis and Applications, Signal Image and Video Processing
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