CV

Education

Academy of Scientific and Innovative Reseach (AcSIR)-Central Scientific Instruments Organisation (CSIO), India (2023). Ph.D (Earth & Enviromental Sciences) _ CGPA (8.6/10) Specialization: Remote Sensing, Glaciology, Deep Learning and Image Processing. Coursework: Digital Image Processing, Signal Processing, Research Methodology, Advanced Self Study.

Kumaun University, Nainital, India. M.Sc. Remote Sensing & GIS, _ _Coursework: Remote Sensing, GIS, Sptial Mathematics, GPS, Digital Image Proessing, Cartography.

Work experience

School of Geography, Development & Environment-University of Arizona: June 2024-Present (Postdoctoral Research Associate) NASA Sponsored Flood Inundation Mapping Project
- Performed Flood Inundation Mapping using CNN Models, Vision Transformers, Geo-Foundational Models.
- Performed Data Fusion of Sentinel 1 and Sentinel 2 using feature based fusion (Transformer and CNN model)
- Wrote Python Piepline to process large-scale satellite data (PS, Sentinel2, and Sentinel 1).
Byrd Polar and Climate Research Center-Ohio State University: March 2023-May 2024 (_Postdoctoral Researcher) Surface Ovoid Detection Algorithm
- Managed gloabl scale remote sensing data, performed exploratory data analysis.
- Developed Normalized Difference Depression Index (NDDI) to map surface depressions effeciently.
- Developed python pieplines to process and visualize Sentinel 2 data and ovoid’s results.
- Perfomred SAR data analysis at selected Sites.
German Remote Sensing Data Center-DLR: Oct 2021-March 2023 (_Guest Scientist)
- Developed Deep-Learning Framework (GLNet) for mapping glacial lakes using multisource remote sesing data and Deep Learning (CNN).
CSIR-Central Scientific Instruments Organisation: Feburary 2018-Oct 2021 (_○ Senior Research Fellow, Junior Research Fellow)
- Developed Deep-Learning Framework (GLNet) for mapping supraglacial debris using multisource remote sesing data
- Generated long-term spatiotemporal glacier velocity using satellite data.
- Time-series analysis of climate data.
- Perfomed glacier mapping using temporal satellite data
- Performed Glacial Lake Outburst Flood Modelling in Western Himalaya
Punjab Remote Sensing Center: Spet2016-Jan 2018
- Worked on multiple projects (e.g., Land Use Land Cover and Wetland Mapping).
- Pefromed Spatial Data Analysis, Digital Mapping, Field Data Collection and Report writing.

Skills

Programming Languages: Proficient: Python, Familiar: Linux, MATLAB, SQL, Git,

Skills/Tools/IDEs**: Deep Learning (Neural networks), Convolutional Neural Network (CNN), TensorFlow, Pytorch, Foundation models, Transformers (ViT), NumPy, Pandas, sci-kit-learn, GDAL, and rasterio, Large Geospatial dataset, Exploratory data analysis, GIS mapping and analysis, Automated feature extraction, Satellite Image Processing (ERDAS, ENVI and Python) SAR data processing (SNAP), High Performance Computing (HPC), Bash Scripting, Time Series Analysis (Python) Spreadsheet software (Excel and Origin), Microsoft Word and PowerPoint, Windows, macOS, Linux, ENVI, ERDAS IMAGINE, QGIS, ArcGIS, GMTSAR, ISCE2, SNAP, COSI-Corr , PyCharm, Jupyter Notebook, Google Colab, Report and Research Paper Writing.

Publications

Prithvi-Complimentary Adaptive Fusion Encoder (CAFE): unlocking full-potential for flood inundation mapping

Kaushik Saurabh, Maurya Lalit, Tellman Beth (2026). Prithvi-Complimentary Adaptive Fusion Encoder (CAFE): unlocking full-potential for flood inundation mapping (CV4EO-Workshop)

GLACIA: Instance-Aware Positional Reasoning for Glacial Lake Segmentation via Multimodal Large Language Model

Maurya Lalit, Kaushik Saurabh, Tellman Beth (2026). GLACIA: Instance-Aware Positional Reasoning for Glacial Lake Segmentation via Multimodal Large Language Model WACV (GeoCV-Workshop)

Assessing Geo-Foundational Models for Flood Inundation Mapping: Benchmarking models for Sentinel-1, Sentinel-2, and Planetscope

Kaushik, S., Maurya, L., Tellman, B., Zhang, Z., & Dharpure, J.K. (2025). Assessing the value of Geo-Foundational Models for Flood Inundation Mapping: Benchmarking models for Sentinel-1, Sentinel-2, and Planetscope for end-users. (Under-Review)

Beyond Clouds: Global glacial lake mapping combining sentinel-1 and sentinel-2 remote sensing data and geo-foundational model

DL4EO: A Unified Python Framework for Preparing Multi-Source Remote Sensing Data for any Segmentation Task

Debris covered glacier mapping using newly annotated multisource remote sensing data and geo-foundational model

Kaushik, S.*, Maurya, L., Tellman, E., Zhang, G., & Dharpure, J. K. (2025). Debris covered glacier mapping using newly annotated multisource remote sensing data and geo-foundational model, Science of Remote Sensing https://doi.org/10.1016/j.srs.2025.100319

Declining groundwater storage in the Indus basin revealed using GRACE and GRACE‐FO data

Dharpure, J. K., Howat, I. M., & Kaushik, S. (2025). Declining groundwater storage in the Indus basin revealed using GRACE and GRACE‐FO data. Water Resources Research, 61(2), e2024WR038279.

Combining machine learning algorithms for bridging gaps in GRACE and GRACE Follow-On missions using ERA5-Land reanalysis

Dharpure, J.K., Howat, I.M., & Kaushik, S. (2024). Declining Groundwater Storage in the Indus Basin Revealed Using GRACE and GRACE-FO Data. Water Resources Research.

Automatic extraction of glacial lakes from Landsat imagery using deep learning across the Third Pole

Tang, Q., Zhang, G., Yao, T., Wieland, M., Liu, L., & Kaushik, S. (2024). Automatic extraction of glacial lakes from Landsat imagery using deep learning across the Third Pole. Remote Sensing of Environment.

Increasing risk of glacial lake outburst flood in Sikkim, Eastern Himalaya under climate warming

Kaushik, S.*, Rafiq, M., Dharpure, J., Joshi, P. K., Singh, T., Howat, I., Moortgat, J., & Dietz, A.J. (2024). Glacial Lake outburst flood risk assessment and dam break modeling in Sikkim Himalaya. Remote Sensing Applications: Society and Environment.

Landslide susceptibility assessment at the landscape level using multivariate analysis coupled with statistical algorithms: An insight from India’s Kailash Sacred Landscape, Western Himalaya

Pandey, A., Sarkar, S.M., Palni, S., Parashar, D., Singh, G., Kaushik, S., Chandra, N., Costache, R., Singh, P.A., Mishra, P.A., Almohamad, H., Al-Mutiry, M., & Ghassan, A.H. (2023). Landslide susceptibility assessment at the landscape level using multivariate analysis coupled with statistical algorithms: An insight from India’s Kailash Sacred Landscape, Western Himalaya. Geomatics Natural Hazards and Risk.

Automated mapping of glacial lakes using multisource remote sensing data and deep convolutional neural network

Kaushik, S.*, Singh, T., Joshi, P.K., & Dietz, A.J. (2022). Automated mapping of glacial lakes using multisource remote sensing data and deep convolutional neural network. International Journal of Applied Earth Observation and Geoinformation.

Automated delineation of supraglacial debris cover using deep learning and multisource remote sensing data

Kaushik, S.*, Singh, T., Bhardwaj, A., Joshi, P.K., & Dietz, A.J. (2021). Automated delineation of supraglacial debris cover using deep learning and multisource remote sensing data. Remote Sensing.

Long-term spatiotemporal variability in the glacier surface velocity of Eastern Himalayan glaciers, India

Kaushik, S.*, Singh, T., Bhardwaj, A., & Joshi, P.K. (2021). Long-term spatiotemporal variability in the glacier surface velocity of Eastern Himalayan glaciers, India. Earth Surface Processes and Landforms.

Examining the Glacial Lake dynamics in a warming climate and GLOF modelling in parts of Chandra basin, Himachal Pradesh, India

Kaushik, S.*, Rafiq, M., Joshi, P. K., & Singh, T. (2020). Examining the Glacial Lake dynamics in a warming climate and GLOF modelling in parts of Chandra basin, Himachal Pradesh, India. Science of the Total Environment.

Talks

Talk on Mapping and Analyzing Geological Hydrogen related ‘Fairy Circles’ using AI-Driven Remote Sensing at American Geophysical Union 2024

December 08, 2024

Conference proceedings talk at American Geophysical Union (AGU) 2024, San Francisco, CA, USA

Talk on Towards automated mapping of glacial features using multisource remote sensing and deep learning

September 02, 2023

Talk at Byrd Polar and Climate Research Centre, The Ohio State University., Columbus, USA

Teaching

Teaching philosophy

Service and leadership

Currently signed in to 43 different slack teams

Saurabh Kaushik

CV