[email protected] | 04994 256027
Contact
akhilap(at)gck.ac.in
+91-6362915302
Dept. of Computer Science
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Akhila P.

Assistant Professor | Head, Department of Computer Science | M.Tech, NET

Biography

Akhila P received the B.Tech degree in Computer Science and Engineering from College of Engineering Trikarripur, Kasaragod, Kerala, India, in 2013, the M.Tech. degree in Information and Computer Science from Cochin University of Science and Technology (CUSAT) , Kalamassery, Kerala, India, in 2016. She passed UGC NET exam in computer science and application in 2016. She worked as Assistant Lecturer in National Institute of Technology Karnataka, Surathkal from 25-07-2017 to 14-05-2018 and joined for Ph. D in the same institution in 2018. She is currently pursuing Ph.D. degree in Department of Computer Science and Engineering, National Institute of Technology Karnataka, Surathkal, India.

Education

  • Pursuing Ph.D. degree in Department of Computer Science and Engineering, National Institute of Technology Karnataka
  • UGC NET 2016
  • M.Tech. degree in Information and Computer Science from Cochin University of Science and Technology (CUSAT) - 2016
  • B.Tech degree in Computer Science and Engineering from College of Engineering Trikarripur in 2013

Experience

  • Assistant Lecturer in National Institute of Technology Karnataka, Surathkal from 25-07-2017 to 14-05-2018
  • Assistant Professor in Govt. College Kasaragod on January 2021 and working there till date.

Research interest

  • Image processing, biometrics and deep learning

Publications

  • Pramukha, R. N., P. Akhila, and Shashidhar G. Koolagudi. "End-to-end latent fingerprint enhancement using multi-scale Generative Adversarial Network." Pattern Recognition Letters (2024).
  • Akhila, P., & Koolagudi, S. G. (2024). Latent fingerprint segmentation using multi-scale attention U-Net. International Journal of Biometrics, 16(2), 195-215.
  • Rakshith, J., Savasere, S., Ramachandran, A., Akhila, P., & Koolagudi, S. G. (2019, August). Word Sense Disambiguation using Bidirectional LSTM. In 2019 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER) (pp. 1-6). IEEE.