I work in the field of Environmental Science and Engineering.

My broad research area is Groundwater and surface water quality management, GIS and ANN modeling of environmental systems

• Groundwater quality management
• Neural network modeling
• Water quality and wastewater management
• Renewable energy 
• Environmental economics and Environmental Statistics

UGC NET (LS) – 2004

GATE with Life sciences – 2002

International journal

1. Kumari, N. and Pathak, G., 2014. A review of groundwater quality issue in Jharkhand due to fluoride. International Journal of Engineering Research and Applications, 4(3), pp.65-77.

2. Avishek, K., Pathak, G., Nathawat, M.S., Jha, U. and Kumari, N., 2010. Water quality assessment of Majhiaon block of Garwa district in Jharkhand with special focus on fluoride analysis. Environmental monitoring and assessment, 167, pp.617-623.

3. Kumari, N., Pathak, G. and Singh, T.B., 2015. The overall assessment of quality and quantity of drinking water with focus on fluoride in the areas of extreme western parts of Jharkhand. International Journal of Environmental Sciences, 5(4), pp.814-829.

4. Singhal, A., Kumar, M., Bhattacharya, M., Kumari, N., Jha, P.K., Chauhan, D.K. and Thakur, I.S., 2018. Pretreatment of Leucaena leucocephala wood by acidified glycerol: optimization, severity index and correlation analysis. Bioresource technology, 265, pp.214-223.

5. Kumari, N., Garg, S., Singhal, A., Kumar, M., Bhattacharya, M., Jha, P.K., Chauhan, D.K. and Thakur, I.S., 2019. Optimizing pretreatment of Leucaena leucocephala using artificial neural networks (ANNs). Bioresource Technology Reports, 7, p.100289.

6. Pandey, S., Kumari, N. and Prasad, S.P., 2021. Soil quality and pollution assessment around Jumar watershed of Jharkhand, India. Arabian Journal of Geosciences, 14, pp.1-20.

7. Pandey, S. and Kumari, N., 2023. Prediction and monitoring of LULC shift using cellular automata-artificial neural network in Jumar watershed of Ranchi District, Jharkhand. Environmental Monitoring and Assessment, 195(1), p.130.
8. Singhal, A., Kumari, N., Ghosh, P., Singh, Y., Garg, S., Shah, M.P., Jha, P.K. and Chauhan, D.K., 2022. Optimizing cellulase production from Aspergillus flavus using response surface methodology and machine learning models. Environmental Technology & Innovation, 27, p.102805.
9. Pandey, S., Kumari, N. and Al Nawajish, S., 2023. Land Use Land Cover (LULC) and Surface Water Quality Assessment in and around Selected Dams of Jharkhand using Water Quality Index (WQI) and Geographic Information System (GIS). Journal of the Geological Society of India, 99(2), pp.205-218.

Book chapter

1. Kumari, N., Pathak, G. and Prakash, O., 2016. A review of application of artificial neural network in ground water modeling. Recent Advances in Mathematics, Statistics and Computer Science, pp.393-402.

2. Neeta, K. and Gopal, P., 2017. Determination of Suitable ANN Architecture for Groundwater Fluoride Prediction. In Advances in Computational Intelligence: Proceedings of International Conference on Computational Intelligence 2015 (pp. 81-88). Springer Singapore.

3. Kumari, N. and Pathak, G., 2019. Study of Chemical Nature of Groundwater In the Western Parts of Jharkhand With a Focus on Fluoride. In Wastewater Reuse and Watershed Management (pp. 273-286). Apple Academic Press.

4. Pandey, S., Kumari, N., Dash, S.K. and Al Nawajish, S., 2022. Challenges and Monitoring Methods of Forest Management Through Geospatial Application: A Review. Advances in Remote Sensing for Forest Monitoring, pp.289-328.

5. Kumari, N. and Pandey, S., 2022. Sustainability Assessment of Jumar River in Ranchi District of Jharkhand using River Sustainability Bayesian Network (RSBN) model Approach. In Ecological Significance of River Ecosystems (pp. 407-428). Elsevier.