Back close
Admissions

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
Bio

Dr. Akshara P. Byju completed her Ph. D. degree in Information and Communication Technology (ICT) from University of Trento, Trento, Italy. She received her B.Tech. degree in computer science and engineering (CSE) from the University of Kerala, Kerala, India, in 2013, and the M. Sc. degree in geo-informatics from the Faculty of Geo-Information Science and Earth Observation, University of Twente, The Netherlands, and the Indian Institute of Remote Sensing, Indian Space Research Organization, Dehradun, India, in 2015. She worked as an Image Analyst with the Urban Expansion Observatory (UXO), Mumbai, India, for the New York University (NYU) Stern Urbanization Project, from 2015 to 2016, and as a GIS Consultant at Infrastructure Development Finance Company (IDFC), Mumbai, in 2015. She was a Visiting Researcher with Remote Sensing Image Analysis (RSiM) Group, Technische Universitat Berlin, Berlin, Germany, from 2018 to 2019. Her main research interests include advanced image processing and deep learning with application to remote sensing.

Publications

Conference Paper

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

Conference Proceedings

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 : 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

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.

Journal Article

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,

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: Ganga G.
    Topic: Pose-estimation using novel deep learning approaches
  • 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
Admissions Apply Now