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Dr. Akshara P. Byju

Assistant Professor (Level 11), School of Computing, Amritapuri

Qualification: B. Tech., MSc, Ph.D
Google Scholar Profile
Scopus Author ID
Research Interest: Deep Learning, Remote Sensing
Date of Joining: 20/02/2021
Nature of Association: Regular

Bio Publications Qualification PhD Students Courses Taught Funded Projects Papers Presented/ Accepted
Bio

Dr Akshara Preethy Byju completed her Ph.D. in Information and Communication Technology (ICT) from the University of Trento, Italy.
She earned her B.Tech. degree in Computer Science and Engineering (CSE) from the University of Kerala in 2013. In 2015, she received her M.Sc. degree in Geo-informatics through a collaborative program between the University of Twente and the Indian Institute of Remote Sensing.
Dr. Byju worked as an Image Analyst with the Urban Expansion Observatory (UXO), Mumbai, for the New York University Stern Urbanization Project from 2015 to 2016. She also served as a GIS Consultant at Infrastructure Development Finance Company in 2015. From 2018 to 2019, she was a Visiting Researcher with the Remote Sensing Image Analysis (RSiM) Group at Technische Universität Berlin, Germany.
Her primary research interests include advanced image processing techniques and deep learning methodologies with applications in remote sensing and geospatial analysis. In recognition of her research excellence and contributions to the field, she has been honored with the prestigious ANRF PMECRG Award in 2025.

Publications

Journal Article

Year : 2026

Saliency-Guided Feature Mining Network for Multi-Scale Fine-Grained Scene Classification in Remote Sensing Image Archives

Cite this Research Publication : Devika Revikumar, Akshara Preethy Byju, Lorenzo Bruzzone, Saliency-Guided Feature Mining Network for Multi-Scale Fine-Grained Scene Classification in Remote Sensing Image Archives, IEEE Geoscience and Remote Sensing Letters, Institute of Electrical and Electronics Engineers (IEEE), 2026, https://doi.org/10.1109/lgrs.2025.3631832

Publisher : Institute of Electrical and Electronics Engineers (IEEE)

Year : 2024

EMAFF-Net: an enhanced multi-scale attentive feature fusion network for building extraction from VHR remote sensing images

Cite this Research Publication : Lakshmi Vijayan, Akshara Preethy Byju, EMAFF-Net: an enhanced multi-scale attentive feature fusion network for building extraction from VHR remote sensing images, Remote Sensing Letters, Informa UK Limited, 2024, https://doi.org/10.1080/2150704x.2024.2305624

Publisher : Informa UK Limited

Year : 2020

Remote-Sensing Image Scene Classification With Deep Neural Networks in JPEG 2000 Compressed Domain

Cite this Research Publication : Byju, A. P., Demir, B., Sumbul, G., & Bruzzone, L. (2020). Remote Sensing Image Scene Classification using Deep Neural Networks in JPEG 2000 Compressed Domain, IEEE Transactions on Geoscience and Remote Sensing.

Publisher : IEEE Explore

Year : 2020

A Progressive Content-Based Image Retrieval in JPEG 2000 Compressed Remote Sensing Archives

Cite this Research Publication : Byju, A. P., Demir, B., & Bruzzone, L. (2020). A Progressive Content Based Image Retrieval in JPEG 2000 Compressed Remote Sensing Archives, IEEE Transactions on Geoscience and Remote Sensing, 58(8), 5739 - 5751.

Publisher : IEEE Explore

Year : 2018

Combining the FCM Classifier with Various Kernels to Handle Non-linearity of Class Boundaries

Cite this Research Publication : Dr. Akshara P. Byju, A. Kumar, Stein, A., and Kumar, A. S., “Combining the FCM Classifier with Various Kernels to Handle Non-linearity of Class Boundaries”, Journal of the Indian Society of Remote Sensing, vol. 46, no. 9, pp. 1519-1526, 2018.

Publisher : Journal of the Indian Society of Remote Sensing,

Conference Paper

Year : 2025

A4RSIC: Attention-Augmented Adversarial Autoencoder for Remote Sensing Image Compression

Cite this Research Publication : Saran Sivarajan, Akshara Preethy Byju, A4RSIC: Attention-Augmented Adversarial Autoencoder for Remote Sensing Image Compression, 2025 Emerging Technologies for Intelligent Systems (ETIS), IEEE, 2025, https://doi.org/10.1109/etis64005.2025.10961138

Publisher : IEEE

Year : 2025

Content-based Image Retrieval using an Adaptive Triplet Learning Approach from Multi-label Remote Sensing Image Archives

Cite this Research Publication : Aswathy K R, Akshara Preethy Byju, Alberto S. Garea, Content-based Image Retrieval using an Adaptive Triplet Learning Approach from Multi-label Remote Sensing Image Archives, 2025 IEEE International Conference on Aerospace Electronics and Remote Sensing Technology (ICARES), IEEE, 2025, https://doi.org/10.1109/icares67579.2025.11371530

Publisher : IEEE

Year : 2024

A Novel Residual-Concatenate Feature Fusion Strategy for Building Segmentation From Remote Sensing Images

Cite this Research Publication : Akshara Preethy Byju, Lakshmi Vijayan, A Novel Residual-Concatenate Feature Fusion Strategy for Building Segmentation From Remote Sensing Images, 2024 IEEE Mediterranean and Middle-East Geoscience and Remote Sensing Symposium (M2GARSS), IEEE, 2024, https://doi.org/10.1109/m2garss57310.2024.10537591

Publisher : IEEE

Year : 2024

Generative Adversarial Networks for Spatio-Spectral Compression of Hyperspectral Images

Cite this Research Publication : Martin Hermann Paul Fuchs, Akshara Preethy Byju, Alisa Walda, Behnood Rasti, Begüm Demir, Generative Adversarial Networks for Spatio-Spectral Compression of Hyperspectral Images, 2024 14th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS), IEEE, 2024, https://doi.org/10.1109/whispers65427.2024.10876535

Publisher : IEEE

Year : 2022

An Integrated Facemask Detection with Face Recognition and Alert System Using MobileNetV2

Cite this Research Publication : Gopinath Pranav Bhargav, Kancharla Shridhar Reddy, Alekhya Viswanath, Bodapati Abhi Teja, Akshara Preethy Byju, "An Integrated Facemask Detection with Face Recognition and Alert System using MobilenetV2," In the 2nd International Conference on Intelligent and Cloud Computing. (Best Paper Award), 2022. DOIhttps://doi.org/10.1007/978-981-16-9873-6_7

Publisher : Springer

Year : 2020

Approximating JPEG 2000 wavelet representation through deep neural networks for remote sensing image scene classification

Cite this Research Publication : Byju, A. P., Demir, B., Sumbul, G., & Bruzzone, L., (2019, October). Approximating JPEG 2000 wavelet representation through deep neural networks for remote sensing image scene classification. In Image and Signal Processing for Remote Sensing XXV. International Society for Optics and Photonics.

Year : 2018

A Novel Coarse-to-fine Remote Sensing Image Retrieval System in JPEG-2000 Compressed Domain

Cite this Research Publication : Byju, A. P., Demir, B., & Bruzzone, L., (2018, October). A novel coarse-to-fine remote sensing image retrieval system in JPEG-2000 compressed domain. In Image and Signal Processing for Remote Sensing XXIV (Vol. 10789, p. 107890T). International Society for Optics and Photonics.

Qualification
  • Ph. D. (2020)
    Information and Communication Technology with Specialization in Remote Sensing
  • M. Sc. Geo-Informatics (2015)
    University of Twente, ITC The Netherlands
  • B. Tech. Computer Science and Engineering (2013)
    University of Kerala
PhD Students
  • Student Name: Santhu S. Nampoothiri
    Topic: Learned Multispectral Image Compression
  • Student Name: Aswathy
    Topic: Advanced methods for content-based image retrieval in jpeg 2000 compressed image archives.
Courses Taught

Even Semester 2021

  • 19CSE213 – Operating Systems, Enrollment: 67
  • 15CSE313 – Software Engineering, Enrollment: 65

Even Semester 2022

  • 21AIE111 – Data Structures and Algorithms 1, Enrollment: 140

Odd Semester 2022

  • 21AIE115 – Database Management Systems, Enrollment: 70
  • 21AIE112 – Advanced Data Structures and Algorithms, Enrollment: 70
Funded Projects
  • LHFIC-Earth: Towards Learned High-Fidelity Image Compression of Earth Observation Data for Onboard Processing – Anusandhan Prime Ministers Early Career Research Grant funded by Science and Engineering Research Board (SERB), Govt of India. [2025-2028].
Papers Presented/ Accepted
  • Nampoothiri, S. S., Byju, A. P. & Bruzzone, L. (2025) A novel boundary aware Semi-Supervised Adversarial learning framework for Region-of-Interest Extraction from high-resolution Remote Sensing Images, In IEEE Mediterranean and Middle East Geoscience and Remote Sensing Symposium (M2GARSS), Morrocco. (Accepted)
  • R. Devika & Byju A.P. (2025). Multi-scale Fine-grained classification of Remote Sensing Images, In 16th IEEE International Conference on Computing, Communication and Network Technologies (ICCCNT), IIT Indore. (Presented).
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