Dr. Saurabh Singh

About

I am currently working as a Postdoctoral Fellow at the Faculty of Environmental Earth Science, Hokkaido University, Japan. My research focuses on GeoAI, Geographic Information Systems (GIS), Remote Sensing, and environmental sustainability. I work on integrating Earth Observation (EO) data, machine learning, and geospatial analytics to address challenges related to climate change, disaster risk reduction, hydrology, biodiversity conservation, and land-use dynamics.

My research interests include flood hazard assessment, riverbank erosion, groundwater scarcity, air-quality monitoring, heatwave analysis, and spatiotemporal land-use/land-cover change detection. I specialize in cloud-based geospatial processing using Google Earth Engine and advanced GIS platforms such as ArcGIS Pro and ENVI/ERDAS. I also utilize AI and deep learning frameworks including TensorFlow, PyTorch, and Scikit-learn for predictive environmental modeling and explainable AI applications.

My work emphasizes reproducible geospatial workflows and the development of practical, data-driven solutions for climate resilience, sustainability planning, and environmental monitoring. I have authored and co-authored research articles in international journals indexed in SCOPUS, Web of Science, and SCI/SCIE databases, and actively participate in interdisciplinary and international research collaborations.

Employment

• Hokkaido University Post Doctoral Fellow
  2026 - Present
• Hokkaido University Post Doctoral Fellow
  2026 - 2027
• Hokkaido University Research Fellow (LOTUS Programme)
  2025 - 2025
• Poornima University Assistant Professor
  2024 - 2025

Education

• Suresh Gyan Vihar University PhD
  2019 - 2023
• Suresh Gyan Vihar University M.Tech CE&M
  2013 - 2015

Projects & Funding

Projects & funding information is unavailable.

Publications (34)

• GeoAI-Based PV Suitability Screening in India Using Remote Sensing, Presence-Background Learning, and Explainable Machine Learning
  Land 2026 DOI: 10.3390/land15081362
  +Save
• Explainable GeoAI for Photovoltaic Site Suitability Assessment in Rajasthan, India: A Rule-Derived, Spatially Validated Decision-Support Framework
  Land 2026 DOI: 10.3390/land15061080
  +Save
• Spatial Quantification of Urban Environmental Stress Through Scale-Aware Multi-Indicator Integration
  Land 2026 DOI: 10.3390/land15060981
  +Save
• Integrated Multi-Hazard Risk Assessment for Delhi with Quantile-Regressed LightGBM and SHAP Interpretation
  Land 2026 DOI: 10.3390/land15030488
  +Save
• AHP-Weighted multi-pollutant composite with Getis-Ord Gi* hotspot analysis from sentinel-5P over Rajasthan, India
  Journal of Atmospheric Chemistry 2026 DOI: 10.1007/S10874-026-09496-7
  +Save
• Assessment of blue aerosol concentration in the lower atmosphere of Barrackpore municipal area
  International Journal of Environmental Science and Technology 2026 DOI: 10.1007/S13762-026-07250-W
  +Save
• Spatiotemporal dynamics of Indian concurrent day night heatwaves across different warming targets
  Meteorology and Atmospheric Physics 2026 DOI: 10.1007/S00703-026-01151-W
  +Save
• Surface Urban Heat Island Dynamics and Land Use Change in the Shillong Planning Area, India: A Geospatial and Machine Learning Approach
  Sustainability 2026 DOI: 10.3390/su18157777
  +Save
• Enhancing Concrete Durability and Mechanical Properties for Pavement Quality Concrete (PQC) Roads Using Basalt Fiber Reinforcement
  JOURNAL OF POLYMER & COMPOSITES 2025
  +Save
• Integrating Temporal Change Detection and Advanced Hybrid Modeling to Predict Urban Expansion in Jaipur, a UNESCO World Heritage City
  Revue Internationale de Géomatique 2025 DOI: 10.32604/rig.2025.071156
  +Save