Sotabase

Career

· Professor, Sharda University2024–
· Deputy Director- Research Development, Amity University Raipur2023–2024
· Associate Professor, Amity University , Chhattisgarh2021–2024
· Research Associate, University of Central Florida2016–2021
· Postdoctoral Research Associate, Sanford Burnham Prebys2015–2016
· Postdoctoral Research Associate, The Ohio State University2014–2015
· PHD Scholar, Indian Institute of Technology, Guwahati2009–2014

Publications (47)

Landslide susceptibility modeling using Reduced Error Pruning Trees and different ensemble techniques: Hybrid machine learning approaches
CATENA · 2019
264
cited
Shallow Landslide Susceptibility Mapping: A Comparison between Logistic Model Tree, Logistic Regression, Naïve Bayes Tree, Artificial Neural Network, and Support Vector Machine Algorithms
International Journal of Environmental Research and Public Health · 2020
221
cited
Groundwater Arsenic Contamination in the Ganga River Basin: A Future Health Danger
International Journal of Environmental Research and Public Health · 2018
209
cited
A novel hybrid approach of landslide susceptibility modelling using rotation forest ensemble and different base classifiers
Geocarto International · 2019
157
cited
Hybrid computational intelligence models for groundwater potential mapping
CATENA · 2019
125
cited
Groundwater Arsenic Contamination and Associated Health Risks in Bihar, India
2014
93
cited
Landslide susceptibility modeling using different artificial intelligence methods: a case study at Muong Lay district, Vietnam
Geocarto International · 2019
88
cited
Health Risk Assessment Due to Groundwater Arsenic Contamination: Children Are at High Risk
2012
87
cited
A Hybrid Intelligence Approach to Enhance the Prediction Accuracy of Local Scour Depth at Complex Bridge Piers
2020
80
cited
Comparison of Support Vector Machine, Bayesian Logistic Regression, and Alternating Decision Tree Algorithms for Shallow Landslide Susceptibility Mapping along a Mountainous Road in the West of Iran
Applied Sciences · 2020
80
cited
Paleoenvironmental evidence for first human colonization of the eastern Caribbean
2015
58
cited
Developing robust arsenic awareness prediction models using machine learning algorithms.
Journal of Environmental Management · 2018
47
cited
Mapping composite vulnerability to groundwater arsenic contamination: an analytical framework and a case study in India
Natural Hazards · 2015
42
cited
Entry of Arsenic into Food Material - A CAse Study
2011
39
cited
Advances in machine learning for the detection and characterization of microplastics in the environment
Frontiers in Environmental Science · 2025
30
cited
Using Artificial Neural Network (ANN) for prediction of soil coefficient of consolidation
Vietnam Journal of Earth Sciences · 2020
30
cited
Groundwater Arsenic Contamination in the Middle-Gangetic Plain, Bihar (India): The Danger Arrived
2015
29
cited
Global Arsenic Contamination: Living With the Poison Nectar
2017
27
cited
Predicting sustainable arsenic mitigation using machine learning techniques.
Ecotoxicology and Environmental Safety · 2022
23
cited
An analysis of the cost-effectiveness of arsenic mitigation technologies: Implications for public policy
2017
22
cited
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Sushant Singh | Researcher Profile | Sotabase | Sotabase