Iswarya Kannoth Veetil

About

Early career researcher with experience in biomedical image analysis and signal processing, nonlinear dynamics, and artificial intelligence.

Employment

• Amrita Vishwa Vidyapeetham University Assistant Professor
  2025 - Present
• Amrita Vishwa Vidyapeetham CSIR - SRF
  2021 - 2024
• Amrita Vishwa Vidyapeetham Teaching Assistant
  2018 - 2021
• Sri Sivasubramaniya Nadar College of Engineering Research Associate
  2017 - 2018
• Leapfrog Engineering Electrical Engineer
  2016 - 2017

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (8)

• Evolving Janya Ragas: Towards generating novel and creative melodic frameworks in Carnatic music
  2026 DOI: 10.1145/3795101.3805337
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• Performance Analysis of Big Transfer Models on Biomedical Image Classification
  Springer Series in Reliability Engineering 2025 DOI: 10.1007/978-3-031-72636-1_7
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• An analysis of data leakage and generalizability in MRI based classification of Parkinson's Disease using explainable 2D Convolutional Neural Networks
  Digital Signal Processing A Review Journal 2024 DOI: 10.1016/j.dsp.2024.104407
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• Robust language independent voice data driven Parkinson's disease detection
  Engineering Applications of Artificial Intelligence 2024 DOI: 10.1016/j.engappai.2023.107494
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• Deep Learning-Based Approach for Parkinson’s Disease Detection Using Region of Interest
  Intelligent Sustainable Systems 2022 DOI: 10.1007/978-981-16-2422-3_1
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• Synthetic Data Augmentation of MRI using Generative Variational Autoencoder for Parkinson’s Disease Detection
  Evolution in Computational Intelligence 2022 DOI: 10.1007/978-981-16-6616-2_16
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• Parkinson’s Disease Classification from Magnetic Resonance Images (MRI) using Deep Transfer Learned Convolutional Neural Networks
  2021 IEEE 18th India Council International Conference (INDICON) 2021 DOI: 10.1109/indicon52576.2021.9691745
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• Ensemble of deep transfer learning models for Parkinson's Disease classification
  ICSCSP: International Conference on Soft Computing and Signal Processing DOI: 10.1007/978-981-16-1249-7_14
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