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Iswarya K. V.

Assistant Professor, School of Artificial Intelligence, Coimbatore

Qualification: Ph.D
kv_iswarya@cb.amrita.edu
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Research Interest: Areas of data-driven engineering, complex systems, biomedical image and signal processing, early warning systems, and, computing education

Bio Publications Qualification Positions Teaching Miscellaneous
Bio

Dr. Iswarya Kannoth Veetil is currently working as an Assistant Professor in the School of Artificial Intelligence, Coimbatore, Amrita Vishwa Vidyapeetham, India.Dr. Iswarya completed her B.E. in Electrical and Electronics Engineering from Anna University, Chennai and subsequent M.E. in Power Electronics and Drives from SSN College of Engineering under Anna University, Chennai. She was working as an Electrical Engineer in a core engineering company before returning to academia. She pursued a research assistantship designing special electrical machines at SSN College of Engineering before her doctoral studies. Dr. Iswarya’s doctoral research focused on the exploration of bias and the evaluation of generalizability in both MRI and voice based data driven models for the early detection of Parkinson’s Disease.

Her areas of research include nonlinear dynamics, signal processing, digital health systems, artificial intelligence, and complex networks/ network science. She is open to collaborate in other domains and is eager to explore the areas of evolutionary algorithms, spatial early warning signals, and areas of data-driven engineering including generative AI, and reinforcement learning.

Publications

Book Chapter

Year : 2025

Performance Analysis of Big Transfer Models on Biomedical Image Classification

Cite this Research Publication : Abhishek Laxman Joshi, Iswarya Kannoth Veetil, B. Premjith, V. Sowmya, E. A. Gopalakrishnan, Ravi Vinayakumar, Performance Analysis of Big Transfer Models on Biomedical Image Classification, Springer Series in Reliability Engineering, Springer Nature Switzerland, 2025, https://doi.org/10.1007/978-3-031-72636-1_7

Publisher : Springer Nature Switzerland

Year : 2022

Synthetic Data Augmentation of MRI using Generative Variational Autoencoder for Parkinson’s Disease Detection

Cite this Research Publication : Madan, Yamini, Iswarya Kannoth Veetil, Gopalakrishnan EA, and Soman KP. "Synthetic Data Augmentation of MRI using Generative Variational Autoencoder for Parkinson’s Disease Detection." In Evolution in Computational Intelligence, pp. 171-178. Springer, Singapore, 2022.

Publisher : Springer

Year : 2022

Deep Learning-Based Approach for Parkinson’s Disease Detection Using Region of Interest

Cite this Research Publication : Madan, Yamini, Iswarya Kannoth Veetil, V. Sowmya, E. A. Gopalakrishnan, and K. P. Soman. "Deep Learning-Based Approach for Parkinson’s Disease Detection Using Region of Interest." In Intelligent Sustainable Systems, pp. 1-13. Springer, Singapore, 2022.

Publisher : Springer

Journal Article

Year : 2024

Robust language independent voice data driven Parkinson’s disease detection

Cite this Research Publication : Veetil, Iswarya Kannoth, V. Sowmya, Juan Rafael Orozco-Arroyave, and E. A. Gopalakrishnan. "Robust language independent voice data driven Parkinson’s disease detection." Engineering Applications of Artificial Intelligence 129 (2024): 107494

Year : 2024

An analysis of data leakage and generalizability in MRI based classification of Parkinson’s Disease using Explainable 2D Convolutional Neural Networks

Cite this Research Publication : Veetil, Iswarya Kannoth, Divi Eswar Chowdary, Paleti Nikhil Chowdary, V. Sowmya, and E. A. Gopalakrishnan. "An analysis of data leakage and generalizability in MRI based classification of Parkinson's Disease using Explainable 2D Convolutional Neural Networks." Digital Signal Processing (2024): 104407

Conference Paper

Year : 2021

Ensemble of Deep Transfer Learning Models for Parkinson’s Disease Classification

Cite this Research Publication : Kiranbabu Rajanbabu, Iswarya Kannoth Veetil, V. Sowmya, E. A. Gopalakrishnan & K. P. Soman "Ensemble of Deep Transfer Learning Models for Parkinson's Disease Classification", Advances in Intelligent Systems and Computing book series (AISC,volume 1340), 24 July 2021

Year : 2021

Parkinson’s Disease Classification from Magnetic Resonance Images (MRI) using Deep Transfer Learned Convolutional Neural Networks

Cite this Research Publication : Veetil, I. K., Gopalakrishnan, E. A., Sowmya, V. and Soman, K. P. “Parkinson’s disease classification from Magnetic Resonance Images using deep transfer learned Convolutional Neural Networks”, Proceedings of 18th Indian Council International Conference, INDICON (2021).

Publisher : INDICON

Qualification
  • 2024 : PhD
    Specialization:  Computational Engineering
    Thesis Title: An Exploration of Bias and Generalizability in Data-driven Models for Detection of Parkinson’s Disease
  • 2015 : M. Tech.
    Specialization: Power Electronics and Drives
    Thesis Title: Velocity Control of a Linear Switched Reluctance Motor
Positions

Current Positions

  • Assistant Professor, Department of Artificial Intelligence, School of Artificial Intelligence, Coimbatore, Amrita Vishwa Vidyapeetham, India – 2025

Past Positions

Industry Experience

  1. Electrical Engineer at Leapfrog Engineering Services, Bengaluru, India. 2016 – Mar. 2017
  2. Intern at Hibrise Engineering Services, Chennai, India. Aug. 2014 – Jul. 2015

Research Experience

  1. Senior Research Fellowship,Council of Scientific & Industrial Research (CSIR), India. July 2018 – Dec. 2024
  2. Research Assistant at SSN College of Engineering, Anna University, Chennai, Tamil Nadu, India. Apr. 2017 – Sep. 2017

Academic Experience

  • Teaching assistant at the Center for Computational Engineering and Networking, Amrita Vishwa Vidyapeetham, Coimbatore, India. Oct. 2018 – Mar. 2020; Nov. 2020 – Mar. 2021
Teaching

GIAN/Workshops/Short-term Training Programs Attended

  • ACM India Grad Cohort 2023 at IISc, Bangalore in July 2023
Miscellaneous

Awards/Honors/Recognition

  • Senior Research Fellowship; Council of Scientific & Industrial (CSIR),Govt. of India; 2021-2024
  • Outstanding Achiever Award; Leapfrog Engineering Services, Bengaluru, India; 2017
  • Danfoss PG Innovator Award; Danfoss Industries, India; 2014-15
  • Best outgoing poet in English – Batch of 2009; St. John’s M.H.S. School, Chennai, India; 2009

Membership/Associations

  • ACM SigEVO
  • ACM SigMICRO
  • IEEE

Reviewers (National/International Journals; Conferences)
International Journals

  • Biomedical Signal Processing and Control, Elsevier
  • Scientific data, Nature Publishing Group
  • International Journal of Imaging Systems and Technology, Wiley
  • Iraqi Journal for Computer Science and Mathematics, Aliraqia University
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