Teaching Faculties
Dr. Pradeep Kumar
Assistant Professor-Senior Scale (Research) Department of Physics
- kumar.pradeep@jaipur.manipal.edu
- Phd, Indian Institute of Technology (BHU), Varanasi, India, 2017
- MTech, Indian Institute of Technology (IIT-ISM) Dhanbad, Jharkhand, India, 2011
- BSc, CSJM University Kanpur, Uttar Pradesh, India, 2004
- MSc, CSJM University Kanpur, Uttar Pradesh, India, 2006
- Atmospheric Physics
- Air pollution and their climate and public health impacts
- Remote sensing
- Satellite image processing and analysis for natural resources and atmospheric studies
- Geographic Information System (GIS)
- SERB-NPDF
- Dr. DSK-PDF
- AGU-Regular Member (917417)
- South Asian Meteorological Association (SAMA)-Life Member (SAMA-LM-IND-185)
- Indian Physics Association-Life Member (VAR/LM/13342)
- Indian Society of Remote Sensing-Life Member (L-5009)
- Indian Meteorological Society-Life Member (LM-3472)
- Association of Agrometerologists-Life Member (LM-1295)
- American Chemical Society as a Community Member! (32703212).
- Kumar, P., Choudhary, A., Joshi, P.K., Kumar, R.P. and Bhatla, R., 2025. Machine learning models for estimating criteria pollutants and health risk-based air quality indices over eastern coast coal mine complex belts. Frontiers in Environmental Science, 13, p.1589991.
- Kumar, R.P., Singh, R., Kumar, P., Kumar, R., Nahid, S., Singh, S.K. and Nijjar, C.S., 2024. Aerosol-PM2. 5 Dynamics: in-situ and satellite observations under the influence of regional crop residue burning in post-monsoon over Delhi-NCR, India. Environmental Research, 255, p.119141.
- Kumar, P., Choudhary, A., Joshi, P.K., Prasad, R. and Singh, S.K., 2022. Multiple crop yield estimation and forecasting using MERRA-2 model, satellite-gauge and MODIS satellite data by time series and regression modelling approach. Geocarto International, 37(27), pp.16590-16619.
- Kumar, P., Pratap, V., Kumar, A., Choudhary, A., Prasad, R., Shukla, A., Singh, R.P. and Singh, A.K., 2020. Assessment of atmospheric aerosols over Varanasi: physical, optical and chemical properties and meteorological implications. Journal of Atmospheric and Solar-Terrestrial Physics, 209, p.105424.
- Gupta, D.K., Prasad, R., Kumar, P. and Mishra, V.N., 2016. Estimation of crop variables using bistatic scatterometer data and artificial neural network trained by empirical models. Computers and Electronics in Agriculture, 123, pp.64-73.
