Shivam Saw
National Institute of Technology Durgapur, NIT Durgapur, Indian Institute of Technology (Indian School of Mines), Dhanbad
0000-0002-7956-0435
About
Dr. Shivam Saw has completed a Post-Doctoral Fellowship at NIT Durgapur and holds a Ph.D. and M.Tech from IIT (ISM) Dhanbad. A dedicated researcher in environmental engineering, his work focuses on wastewater treatment and sustainable solutions. He specializes in constructed wetland systems, utilizing vetiver plants and innovative materials like LECA and jute textiles for pollutant removal. Their research includes aquifer vulnerability assessment, heavy metal analysis, and domestic wastewater treatment, employing statistical modeling and health risk assessment. They are actively engaged in the NTTM project and are also working on removing pharmaceutical contaminants from water. With contributions to scholarly articles and conferences, Shivam Saw is committed to advancing sustainable water management and environmental protection.
Employment
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National Institute of Technology Durgapur Post Doc Fellow2024 - 2026
Education
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NIT Durgapur Post Doc Fellow2024 - Present
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Indian Institute of Technology (Indian School of Mines), Dhanbad PhD2017 - 2023
Projects & Funding
Projects & funding information is unavailable.
Publications (15)
- Integrated Hydrogeochemical Characterization, Water Quality Index, and Human Health Risk Assessment of Groundwater in Maharashtra, India Save
- Hydrochemical characterization and AI-based prediction for irrigation suitability of domestic wastewater in Durgapur, West Bengal, India Save
- Comparative Analysis of Machine Learning Models in Groundwater Quality Assessment: A Systematic Review Save
- Risk Assessment of Groundwater Contamination by Heavy Metals in the Gangetic Plain: A Multivariate Statistical and Index-Based Study Save
- Design and synthesis of functionalized green PVA/starch composite films with bio-char for fresh food protection Save
- Assessment and prediction of noise pollution–induced health impacts in urban environment: a structural equation modeling (SEM)–based approach Save
- Traffic Noise Modeling under Mixed Traffic Condition in Mid-Sized Indian City: A Linear Regression and Neural Network-Based Approach Save
- A modeling approach for suitability evaluation of traffic noise prediction under mixed traffic situation in mid-sized Indian cities Save
- Assessment and Mapping of Traffic Noise Levels in Coal Capital of India, Dhanbad: Implications for Noise Pollution Management Save
- GIS-Based Trends Analysis of THMs Compounds in Indian Drinking Water Supplies Save