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.
Year : 2018
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,
Year : 2022
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
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
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 : 2020
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 : 2018
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.
Even Semester 2021
Even Semester 2022
Odd Semester 2022
