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Dr. Devika K.

Assistant Professor, Department of Electrical and Electronics Engineering, School of Engineering, Coimbatore

Qualification: M.Tech, Ph.D
k_devika@cb.amrita.edu
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Research Interest: AI for healthcare, Medical Image Analysis, Machine Learning, Deep Learning, Pattern Classification

Bio

Dr. Devika K currently serves as an Assistant Professor in the Department of Electrical and Electronics Engineering, Amrita School of Engineering, Coimbatore. She obtained her Bachelor’s degree in Information Technology from the University of Calicut in 2016 and her M.Tech in Computer Science and Engineering from Amrita Vishwa Vidyapeetham in 2018. She obtained her Ph.D. from Amrita Vishwa Vidyapeetham in 2023. Her doctoral thesis was titled “Neurological Disorders Detection using Longitudinal Neuroimaging: A One-Class Model Approach”.

Publications

Journal Article

Year : 2022

Dense attentive GAN-based one-class model for detection of autism and ADHD

Cite this Research Publication : Devika Kuttala, Dwarikanath Mahapatra, Ramanathan Subramanian, V. Ramana Murthy Oruganti, Dense attentive GAN-based one-class model for detection of autism and ADHD, Journal of King Saud University - Computer and Information Sciences, Volume 34, Issue 10, Part B, 2022, Pages 10444-10458.

Year : 2021

Investigating the population dynamics of differential evolution algorithm for solving multi-objective rfid reader placement problem

Cite this Research Publication : Devika, K., & Jeyakumar, G. (2021). Investigating the population dynamics of differential evolution algorithm for solving multi-objective rfid reader placement problem. International Journal of Intelligent Systems Technologies and Applications, 20(2), 82–102.

Year : 2021

An Unsupervised Approach for COVID-19 Detection using Chest CT Images

Cite this Research Publication : P. S, K. Devika and V. R. Murthy Oruganti, An Unsupervised Approach for COVID-19 Detection using Chest CT Images. 2021 IEEE 9th Region 10 Humanitarian Technology Conference (R10-HTC), 2021.

Publisher : IEEE

Year : 2019

Multi-objective evolutionary algorithm based approach for solving rfid reader placement problem using weight-vector approach with opposition-based learning method

Cite this Research Publication : S. S. Shinde, K., D., Dr. Thangavelu S., and Dr. Jeyakumar G., “Multi-objective evolutionary algorithm based approach for solving rfid reader placement problem using weight-vector approach with opposition-based learning method”, International Journal of Recent Technology and Engineering, vol. 7, pp. 177-184, 2019.

Publisher : International Journal of Recent Technology and Engineering

Year : 2018

Theoretical analysis and empirical comparison of different population initialization techniques for evolutionary algorithms

Cite this Research Publication : D. K. and Dr. Jeyakumar G., “Theoretical Analysis and Empirical Comparison of Different Population Initialization Techniques for Evolutionary Algorithms”, Indonesian Journal of Electrical Engineering and Computer Science, vol. 12, no. 1, pp. 87-94, 2018.

Publisher : Indonesian Journal of Electrical Engineering and Computer Science

Conference Paper

Year : 2022

Outlier-based autism detection using longitudinal structural MRI

Cite this Research Publication : Devika, K.,Mahapatra, D., Subramanian, R., & Oruganti, V. R.M. (2022). Outlier-based autism detection using longitudinal structural mri. IEEE Access, 10, 27794–27808.

Publisher : IEEE

Year : 2018

Solving Multi-Objective Optimization Problems using Differential Evolution Algorithm with Different Population Initialization Techniques

Cite this Research Publication : K. Devika and Dr. Jeyakumar G., “Solving Multi-Objective Optimization Problems using Differential Evolution Algorithm with Different Population Initialization Techniques”, in 2018 International Conference on Advances in Computing, Communications and Informatics (ICACCI), 2018.

Publisher : 2018 International Conference on Advances in Computing, Communications and Informatics

Conference Proceedings

Year : 2021

Decision level fusion for diagnosing autism spectrum disorder

Cite this Research Publication : Devika, K., & Oruganti, V. R. M. (2021b). Decision level fusion for diagnosing autism spectrum disorder. In Tencon 2021-2021 ieee region 10 conference (tencon) (pp. 510–515). IEEE.

Publisher : IEEE

Year : 2021

A machine learning approach for diagnosing neurological disorders using longitudinal resting-state fmri

Cite this Research Publication : Devika, K., & Oruganti, V. R. M. (2021a). A machine learning approach for diagnosing neurological disorders using longitudinal resting-state fmri. In 2021 11th international conference on cloud computing, data science & engineering (confluence) (pp. 494–499). IEEE

Publisher : IEEE

Year : 2021

An Unsupervised Approach for COVID-19 Detection using Chest CT Images

Cite this Research Publication : P. S, K. Devika and V. R. Murthy Oruganti, An Unsupervised Approach for COVID-19 Detection using Chest CT Images. 2021 IEEE 9th Region 10 Humanitarian Technology Conference (R10-HTC), 2021.

Publisher : IEEE

Year : 2020

Early classification of abnormal health using longitudinal structural MRI data

Cite this Research Publication : Devika, K., & Oruganti, V. R. M. (2020). Early classification of abnormal health using longitudinal structural mri data. In 2020 ieee 17th india council international conference (indicon) (pp. 1–6). IEEE

Publisher : IEEE

Year : 2020

An Evolutionary Algorithmic Framework to Solve Multi-objective Optimization Problems with Variable Length Chromosome Population

Cite this Research Publication : K. Devika and Dr. Jeyakumar G., “An Evolutionary Algorithmic Framework to Solve Multi-objective Optimization Problems with Variable Length Chromosome Population”, Intelligent Computing and Communication, vol. 1034. Springer Singapore, Singapore, pp. 483-493, 2020

Publisher : Intelligent Computing and Communication, Springer Singapore

Book Chapter

Year : 2020

Performance Analysis of NASNet on Unconstrained Ear Recognition

Cite this Research Publication : K. Radhika, Devika, K., Aswathi, T., Sreevidya, P., Sowmya V., and Dr. Soman K. P., “Performance Analysis of NASNet on Unconstrained Ear Recognition”, in Nature Inspired Computing for Data Science, Springer International Publishing, 2020, pp. 57-82, Springer, Cham.

Publisher : Springer International Publishing

Professional Experience
  • Faculty Associate, Department of EEE, Amrita Vishwa Vidyapeetham, Coimbatore (August 2023 to October 2023).
  • Assistant Professor, Department of EEE, Amrita Vishwa Vidyapeetham, Coimbatore (November 2023 to till date).
Professional Members
  • IEEE
Reviewer
  • IEEE Access
  • International Journal of Information Technology & Decision Making
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