Abhishek Singh
Eurac Research, University of Trento, Indian Institute of Remote Sensing, University of Delhi
0000-0002-5275-5443
About
Abhishek Singh received his Ph.D. degree in Information and Communication Technology with a specialization in Space Data Science and Technology from the University of Trento, Italy, in January 2024, and his master's (M.Tech.) degree in Remote Sensing and GIS with a specialization in Satellite Image Analysis and Photogrammetry from Indian Institute of Remote Sensing, Indian Space Research Organisation, Dehradun, India, in 2019. He is currently an Earth Observation Researcher at Eurac Research, Bolzano, Italy, contributing to multi-source data fusion and the development of deep learning methods for land cover mapping. His research expertise encompasses weakly supervised deep learning techniques, including generative models, convolutional neural networks and attention mechanisms, specifically applied to multi-source satellite image analysis. Additionally, his skills extend to data augmentation, data fusion, land cover mapping and spatio-temporal data analysis.
Employment
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Eurac Research Post-Doc-Researcher2024 - Present
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University of Trento Doctoral Researcher2019 - 2024
Education
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University of Trento PhD in Information and Communication Technology2019 - 2024
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Indian Institute of Remote Sensing M.Tech.2017 - 2019
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University of Delhi B.Tech.2013 - 2017
Projects & Funding
Projects & funding information is unavailable.
Publications (29)
- EO-based Grassland Production Index for estimating drought related yield losses: development in mountain environment and current challenges Save
- A Transformer-Based Convolutional Regressor to Include SAR Backscatter Signals in Monitoring Alpine Grasslands Save
- Quantum Machine Learning for Earth Observation: a parameter efficient model for downstream tasks Save
- A Self-Attention based-Convolutional Regressor for Alpine Grasslands Leaf Area Index Spatial-Gap Filling with SAR-Optical Data Fusion Save
- DEMO - Raster and Vector Data Cubes Across Spatial Data Science Languages Save
- Several sensors and modalities Save
- Synthetic aperture radar image analysis in era of deep learning Save
- Wavelet-Based Deep Generative Framework for Super Resolution of Low-Resolution Labeled Maps and Weak-Supervised Learning Save
- A Spectrally Regulated Convolution-Based Network for Crop-Mapping with Hyperspectral Images Save
- Weak-Supervised Deep Learning Methods for the Analysis of Multi-Source Satellite Remote Sensing Images Save