Dr. SAURABH SINGH

About

Passionate researcher in sustainable wastewater treatment, specializing in constructed wetlands (CWs) for the removal of emerging pollutants. My work focuses on developing innovative, eco-friendly solutions to enhance pollutant degradation and improve wastewater quality.
Currently Work as a Institute Post Doctorate Fellow (IPDF) at Indian Institute of Technology Kanpur

Employment

• IIT Kanpur Institute Post Doctorate Fellow (IPDF)
  2025 - Present
• Indian Institute of Technology BHU Research Associate - I
  2024 - 2024
• MNIT Project Associate
  2024 - 2024
• North Dakota State University Research Assistant
  2023 - 2024
• Malaviya National Institute of Technology Jaipur Research Scholar
  2021 - 2024

Education

• ~North Dakota State University Visiting Scholar
  2023 - 2024
• Malaviya National Institute of Technology Jaipur Research Scholar
  2021 - 2024
• Malaviya National Institute of Technology Jaipur M.Tech
  2016 - 2018
• Rajasthan Technical University B.Tech
  2011 - 2015

Projects & Funding

Projects & funding information is unavailable.

Publications (32)

• Machine-Learning-Enabled Interpretation of PFAS Adsorption Mechanisms Using the Freundlich Coefficient (KF) as the Target Response
  ACS ES&T Engineering 2026 DOI: 10.1021/acsestengg.6c00099
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• Depth-Dependent Microbial Nitrogen Transformations in Horizontal Flow Constructed Wetlands: Insights from Mass Balance and 16S rRNA V3–V4 Amplicon Sequencing
  ACS ES&T Water 2026 DOI: 10.1021/acsestwater.5c00849
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• Optimizing removal kinetics in constructed wetlands for sustainable wastewater treatment
  Water Practice & Technology 2026 DOI: 10.2166/wpt.2026.422
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• A Review on Sustainable Enhancement in Microbial Dynamics and Pollutant Removal in Constructed Wetlands: The Role of Agricultural Waste-Derived Biochar
  Water, Air, & Soil Pollution 2025 DOI: 10.1007/s11270-025-08543-5
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• Enhancing Coastal Embankment Performance through Numerical Modelling and Taguchi Optimization
  Geotechnical and Geological Engineering 2025 DOI: 10.1007/s10706-025-03458-8
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• Exploring urban heat dynamics through multi-model machine learning analysis of land surface temperature in Bengaluru India
  Natural Hazards 2025 DOI: 10.1007/s11069-025-07609-1
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• Machine Learning Approach for Predicting Perfluorooctanesulfonate Rejection in Efficient Nanofiltration Treatment and Removal
  ACS ES&T Water 2025 DOI: 10.1021/acsestwater.4c01003
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• Applicability of Machine Learning to Predict the Flexural Stresses in Jointed Plain Concrete Pavement
  Journal of Structural Design and Construction Practice 2025 DOI: 10.1061/JSDCCC.SCENG-1524
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• Understanding the multifaceted influence of urbanization, spectral indices, and air pollutants on land surface temperature variability in Hyderabad, India
  Journal of Cleaner Production 2024 DOI: 10.1016/J.JCLEPRO.2024.143284
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• Prediction of land surface temperature using spectral indices, air pollutants, and urbanization parameters for Hyderabad city of India using six machine learning approaches
  Remote Sensing Applications: Society and Environment 2024 DOI: 10.1016/J.RSASE.2024.101265
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