Dr. Kuldeep Singh Rautela
Indian Institute of Technology Indore, G.B. Pant Engineering College, Bipin Tripathi Kumaon Institute of Technology, G.B. Pant Institute of Himalayan Environment and Development
0000-0003-0600-3942
About
Dr. Kuldeep Singh Rautela is an environmental researcher and civil engineer whose research focuses on air pollution, aerosol transport, and climate–atmosphere interactions. He earned his Ph.D. from the Indian Institute of Technology Indore, where he investigated Aerosol Atmospheric Rivers (AARs) using advanced remote sensing, and machine learning techniques. His work provides important insights into the long-range movement of aerosols and their impacts on extreme pollution events, human health, and regional climate. He has contributed to high-impact research publications and interdisciplinary projects addressing climate resilience and air quality management.
Employment
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Indian Institute of Technology Indore Research Associate2025 - Present
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Indian Institute of Technology Indore Research Associate2025 - 2025
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G.B. Pant Engineering College Junior Research Fellow2021 - 2022
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G.B. Pant Institute of Himalayan Environment and Development Junior Research Fellow2017 - 2019
Education
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Indian Institute of Technology Indore Ph.D. Scholar2022 - Present
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Bipin Tripathi Kumaon Institute of Technology B.Tech2013 - 2017
Projects & Funding
Projects & funding information is unavailable.
Publications (50)
- Artificial intelligence–driven air quality mapping and forecasting for extreme PM2.5 events Save
- Climate Change, Wetland Resilience, and the Sustainable Development Goals in Central India: Implications for Water Security and Adaptation Policy Save
- Sustainable Tourism Pathways in the Lolab Valley, Kashmir: Integrating Community Livelihoods With the UN Sustainable Development Goals Save
- A review of extreme air pollution measurement and modeling techniques with applications Save
- Resilience to Air Pollution: A Novel Approach for Detecting and Predicting Aerosol Atmospheric Rivers within Earth System Boundaries Save
- Spatio-temporal analysis of extreme air pollution and risk assessment Save
- Modeling stage‐discharge and sediment‐discharge relationships in data‐scarce Himalayan River Basin Dhauliganga, Central Himalaya, using neural networks Save
- Assessing soybean yield in Madhya Pradesh by using a multi-model approach Save
- Modelling health implications of extreme PM2.5 concentrations in Indian sub-continent: Comprehensive review with longitudinal trends and deep learning predictions Save
- AI and Machine Learning for Optimizing Waste Management and Reducing Air Pollution Save