Fundamentals of Agriculture & Crop Production Technology, Artificial Intelligence and Machine learning, Advanced Python Programming.

ArcMap, QGIS, SWAT, MODFLOW, Google Earth Engine (GEE), Climate Data Analysis.

Deb Barma, S., Mahesha, A. (2023). Discussion of “Innovative approaches to the trend assessment of streamflows in the Eastern Black Sea basin,Turkey”*. Hydrological Sciences Journal. 68, 731–732 (Taylor and Francis). (SCOPUS/SCIE indexed, Q1) https://doi.org/10.1080/02626667.2023.2185524

Van Thieu, N., Deb Barma, S., Van Lam, T., Kisi, O., Mahesha, A. (2023). Groundwater level modeling using Augmented Artificial Ecosystem Optimization. Journal of Hydrology. 617, 129034 (Elsevier). (SCOPUS/SCI indexed, Q1) https://doi.org/10.1016/j.jhydrol.2022.129034

Chowdari, K., Deb Barma, S., Bhat, N., Girisha, R., Gouda, K.C., Mahesha, A.(2023). Trends of seasonal and annual rainfall of semi-arid districts of Karnataka, India: application of innovative trend analysis approach. Theoretical and Applied Climatology. 152, 241– 264 (Springer). (SCOPUS/SCIE indexed, Q1) https://doi.org/10.1007/s00704-023- 04400-9

Kikon, A., Dodamani, B.M., Deb Barma, S., Naganna, S.R. (2023). ANFIS-based soft computing models for forecasting effective drought index over an arid region of India. AQUA — Water Infrastructure, Ecosystems and Society. 72 (6): 930–946 (IWA). (SCOPUS/SCIE indexed, Q2) https://doi.org/10.2166/aqua.2023.204

Chowdari, K., Deb Barma, S., Bhat, N., Girisha, R., Gouda, K.C. (2022). Evaluation of ARIMA, Facebook Prophet and a boosting algorithm framework for monthly precipitation prediction of a semi-arid district of north Karnataka, India.: 2022 Fourth International Conference on Emerging Research in Electronics, Computer Science and Technology(ICERECT).IEEE,pp.1–5.(SCOPUS-indexed) https://doi.org/10.1109/ICERECT56837.2022.10059717

Deb Barma et al. (2022). Evaluation of ERA5 and IMERG Precipitation Data for Risk Assessment of Water Cycle Variables of a Large River Basin in South Asia using Satellite data and Archimedean Copulas. Water Conservation and Management. 6, 61-69. (SCOPUS indexed, Q2) http://doi.org/10.26480/wcm.01.2022.61.69

Sajeev, A., Deb Barma, S., Mahesha, A., Shiau, J.-T. (2021). Bivariate Drought Characterization of Two Contrasting Climatic Regions in India Using Copula. Journal of Irrigation and Drainage Engineering. 147, 05020005 (ASCE).(SCOPUS/SCIE indexed,Q2) https://doi.org/10.1061/(ASCE)IR.1943-4774.0001536

Uttarwar, S.B., Deb Barma, S., Mahesha, A. (2020). Bivariate Modeling of Hydroclimatic Variables in Humid Tropical Coastal Region Using Archimedean Copulas. Journal of Hydrologic Engineering. 25, 05020026 (ASCE). (SCOPUS/SCIE indexed, Q2) https://doi.org/10.1061/(ASCE)HE.1943-5584.0001981

Sharannya, T. M., Al-Ansari, N., Deb Barma, S., & Mahesha, A. (2020). Evaluation of Satellite Precipitation Products in Simulating Streamflow in a Humid Tropical Catchment of India Using a Semi-Distributed Hydrological Model. Water. 12(9), 2400. (SCOPUS/SCIE indexed,Q1) https://doi.org/10.3390/W12092400

Kumar, S. S., Deb Barma, S., & Amai, M. (2020). Simulation of coastal aquifer using mSim toolbox and COMSOL multiphysics. Journal of Earth System Science. 129(1),

66 (Springer). (SCOPUS/SCIE indexed, Q2) https://doi.org/10.1007/s12040-019-1329-9