Welcome to my personal website!

I am an applied environmental economist with main focus on economics of climate change.

I am 5th year PhD Candidate at the Migration and Development Research Group, School of Humanities and Social Sciences, Indian Institute of Technology Indore.

My current research relates to the climate change and vulnerability particularly in developing economies.

I am also studying the relationship between socio-economic outcomes and flood exposure from the policy perspectives.

Publications

Kumar, G. D., Pradhan, K.C. (2026). Flood exposure and vulnerability to poverty: evidence from rural India.). Sci Rep.

Kumar, G. D., Tyagi, S., Pradhan, K. C., & Shah, A. (2025). District-Level Rainfall and Cloudburst Prediction Using XGBoost: A Machine Learning Approach for Early Warning Systems. Informatica, 49(2).

Pradhan, K. C., Kumar, G. D., & Sharma, B. (2025). Reassessment and determinants of multidimensional poverty: Evidence from cross-country analysis.International Journal of Empirical Economics,4(1).

Kumar, G. D., & Pradhan, K. C. (2024). Assessing the district-level flood vulnerability in Bihar, eastern India: an integrated socioeconomic and environmental approach. Environmental Monitoring and Assessment, 196(9), 799.

[Conference Proceedings]

Kumar, G. D., Pradhan, K. C., & Tyagi, S. (2024). Deep Learning Forecasting: An LSTM Neural Architecture based Approach to Rainfall and Flood Impact Predictions in Bihar. Procedia Computer Science, 235, 1455-1466.

[Book Chapter]

Tyagi, A., Tyagi, S., & Kumar, G. D. (2026). Federated Learning in Smart Agriculture: Applications, Challenges, and Solutions.Federated Learning for Smart Agriculture and Food Quality Enhancement, 247-270.

Kumar, G. D., Tyagi, S., & Pradhan, K. C. (2024). Predictive ML analysis: Rainfall & flood vulnerability in Bihar, India. In Artificial Intelligence and Information Technologies (pp. 447-453). CRC Press. PDF Version