Mr. Niloy Biswas | Disaster Management | Best Scholar Award 

Urban Planner | Khulna University | Bangladesh

Dr. Niloy Biswas is a researcher at Khulna University, Bangladesh, whose work focuses on climate dynamics, geospatial analysis, and environmental sustainability. His research integrates machine learning algorithms, geostatistical modeling, and remote sensing tools to assess the interactions between land cover changes, demographic shifts, and thermal environmental patterns. With three published papers and 24 citations, Dr. Biswas has made measurable contributions to understanding regional climate variability and urban thermal environments through data-driven methodologies. His recent publication in Theoretical and Applied Climatology (2025), titled “Geostatistical assessment of spatial climate dynamics using mono window machine learning algorithm for decoding land cover and demographic shifts influence on thermal environment,” highlights his interdisciplinary approach that merges environmental informatics with climatological analysis to support sustainable urban planning and resilience strategies. He has collaborated with 17 co-authors, reflecting his active engagement in multidisciplinary research networks that span geography, environmental science, and computational modeling. Dr. Biswas’s work contributes to advancing predictive tools for assessing the effects of climate change on regional ecosystems and urban landscapes, offering valuable insights for policymakers and planners in developing countries. His academic contributions, though early in career, demonstrate strong potential for shaping data-centric approaches in climate risk assessment and environmental monitoring. Through his research, Dr. Biswas aims to enhance scientific understanding of spatio-temporal climate behavior and promote evidence-based strategies for sustainable development and climate adaptation across South Asia and beyond.

Featured Publications

1. Miah, M. T., Fariha, J. N., Kafy, A. A., Islam, R., Biswas, N., Duti, B. M., Fattah, M. A., et al. (2024). Exploring the nexus between land cover change dynamics and spatial heterogeneity of demographic trajectories in rapidly growing ecosystems of South Asian cities. Ecological Indicators, 158, 111299.
Cited by: 31

2. Biswas, N., & Islam, K. S. (2025). Assessing the impact of land use and land cover changes on land surface temperature dynamics in the coastal region of Bangladesh: A comprehensive analysis using deep learning.
Cited by: 1

3. Biswas, N., Biswas, J., Shahid, I. U., & Sabuj, M. H. (2025). Mapping wildfire dynamics: GeoAI-driven comparative analysis of deep and machine learning ensembles for susceptibility prediction in California. Geomatica, 100081.

4. Miah, M. T., Fariha, J. N., Kafy, A. A., Mukarram, M. M. T., Altuwaijri, H. A., Jodder, P. K., et al. (2024). Geostatistical assessment of spatial climate dynamics using mono window machine learning algorithm for decoding land cover and demographic shifts influence on thermal environment. Theoretical and Applied Climatology, 156(10), 544.

Niloy Biswas’s research advances the integration of geospatial analytics and machine learning to decode climate dynamics and land cover transformations in rapidly changing regions. His work contributes to sustainable urban planning and climate resilience by providing data-driven insights into how demographic and environmental shifts influence regional thermal environments, supporting informed policy and global sustainability goals.

Niloy Biswas | Disaster Management | Best Scholar Award

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