Teaching Faculties
Mr. Siddharth Kumar
Assistant Professor Department of Artificial Intelligence & Machine Learning
- Siddharth.kumar@jaipur.manipal.edu
- 9570641992
- PHD, INDIAN INSTITUTE OF INFORMATION TECHNOLOGY, RANCHI, THESIS SUBMITTED
- M.TECH., CENTRAL UNIVERSITY OF PUNJAB, 2015
- B.TECH., BIJU PATNAIK UNIVERSITY OF TECHNOLOGY, ROURKELA, ODISSA, 2012
- Data Science
- Machine Learning
- Deep Learning
- GIS and Remote Sensing
- GATE 2014
- UGC NET JRF 2018
- Associated with Academic Audit
- Kumar, S., Pati, J. Machine learning approach for assessment of arsenic levels using physicochemical properties of water, soil, elevation, and land cover. Environ Monit Assess 195, 641 (2023). https://doi.org/10.1007/s10661-023-11231-8
- Kumar, S., & Pati, J. (2022). Assessment of groundwater arsenic contamination level in Jharkhand, India using machine learning. Journal of Computational Science, 63, 101779. https://doi.org/10.1016/j.jocs.2022.101779
- Kumar, S., & Pati, J. (2022). Assessment of groundwater arsenic contamination using machine learning in Varanasi, Uttar Pradesh, India. Journal of Water and Health, 20(5), 829-848. https://doi.org/10.2166/wh.2022.015
- Arghya Chattopadhyay, Anand Prakash Singh, Siddharth Kumar, Jayadeep Pati, Amitava Rakshit; The machine learning and geostatistical approach for assessment of arsenic contamination levels using physicochemical properties of water. Water Sci Technol 1 August 2023; 88 (3): 595-614. doi: https://doi.org/10.2166/wst.2023.231
- Kumar, A., Kumar, S., Rautela, K. S., Shekhar, S., Ray, T., & Thangavel, M. (2023). Assessing seasonal variation and trends in rainfall patterns of Madhya Pradesh, Central India. Journal of Water and Climate Change, jwc2023280. https://doi.org/10.2166/wcc.2023.280
