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Dr. Radhika K.

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

Qualification: M.Tech., Ph.D
k_radhika@cb.amrita.edu
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Research Interest: Affective Computing, AI for healthcare, Artificial Intelligence, Human-Computer Interaction

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Bio

Dr. Radhika 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 “ Novel Multimodal Feature Representation Learning for Subject-independent Stress Detection using Physiological Signals”.

Publications

Journal Article

Year : 2023

Multimodal Hierarchical CNN Feature Fusion for Stress Detection

Cite this Research Publication : Kuttala, Radhika, Ramanathan Subramanian, and Venkata Ramana Murthy Oruganti. "Multimodal Hierarchical CNN Feature Fusion for Stress Detection." IEEE Access 11 (2023): 6867-6878

Publisher : IEEE

Year : 2023

Hierarchical Autoencoder Frequency Features for Stress Detection

Cite this Research Publication : Kuttala, Radhika, Ramanathan Subramanian, and Venkata Ramana Murthy Oruganti. "Hierarchical Autoencoder Frequency Features for Stress Detection." IEEE Access (2023).

Year : 2022

Joint Modality Features in Frequency Domain for Stress Detection

Cite this Research Publication : K. Radhika, R. Subramanian and V. R. M. Oruganti, ”Joint Modality Features in Frequency Domain for Stress Detection,” in IEEE.

Publisher : IEEE

Conference Proceedings

Year : 2022

Cross domain features for subject-independent stress detection

Cite this Research Publication : Radhika, K., and V. Ramana Murthy Oruganti. "Cross domain features for subject-independent stress detection." In 2022 IEEE Region 10 Symposium (TENSYMP), pp. 1-6. IEEE, 2022

Publisher : IEEE

Year : 2021

Deep multimodal fusion for subject-independent stress detection

Cite this Research Publication : Radhika, K., and V. Ramana Murthy Oruganti. "Deep multimodal fusion for subject-independent stress detection." In 2021 11th International Conference on Cloud Computing, Data Science & Engineering (Confluence), pp. 105-109. IEEE, 2021.

Publisher : IEEE

Year : 2021

Stress detection using CNN fusion

Cite this Research Publication : Radhika, K., and V. Ramana Murthy Oruganti. "Stress detection using CNN fusion." In TENCON 2021-2021 IEEE Region 10 Conference (TENCON), pp. 492-497. IEEE, 2021

Publisher : IEEE

Year : 2020

Transfer learning for subject-independent stress detection using physiological signals

Cite this Research Publication : Radhika, K., and V. Ramana Murthy Oruganti. "Transfer learning for subject-independent stress detection using physiological signals." In 2020 IEEE 17th India Council International Conference (INDICON), pp. 1-6. IEEE, 2020

Publisher : IEEE

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
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