Year: 2025

Dec 22

SpADANet in spotlight: Features on IITB’s Research-Highlight page, “ResearchMatters”, and on “The Free Press Journal”

We are pleased to share that SpADANet, our research work on domain-adaptive damage assessment, has received recognition on the Research Highlight page of IIT Bombay, ResearchMatters and has also been featured by “The Free Press Journal“. SpADANet is designed to address one of the core challenges in real-world disaster damage assessment i.e., domain shift across events and geographies. By integrating advanced domain adaptation strategies, self-supervised learning, and robust feature alignment, the framework enables improved generalization across unseen disaster scenarios, particularly Read more

Aug 16

Keynote Talk at ICAMIDA 2025

We are delighted to share that Prof. Surya S Durbha will be delivering an invited keynote talk at the International Conference on Applications of Machine Intelligence and Data Analytics (ICAMIDA 2025). In this talk, Professor Durbha will explore how the convergence of Generative AI and Geospatial AI is opening new frontiers in Earth system modeling, environmental monitoring, and spatial data analytics. By combining the creativity of generative models with the precision of geospatial intelligence, researchers can now simulate, interpret, and Read more

Aug 16

Upcoming Talk: Geospatial Data for Public Good and Way Forward as a Consortium

We are pleased to announce that Prof. Surya S Durbha will be delivering a talk on “Geospatial Data as Public Good and Way Ahead as a Consortium.” The session will highlight the critical role of geospatial data in addressing today’s societal, environmental, and economic challenges. Geospatial data when made accessible for public good can empower governments, researchers, industries, and communities to make informed decisions for sustainable development. By fostering collective efforts among academia, industry, and government, the future of geospatial Read more

Apr 07

CEP on AI for Geospatial Data Mining

A Continuing Education Programme (CEP) on Artificial Intelligence for Geospatial Data Mining was successfully conducted over a span of five days, bringing together professors and Ph.D. scholars from the Indian Institute of Technology Bombay. The program was designed to provide scientists from the National Remote Sensing Centre (NRSC) with a comprehensive understanding of geospatial data analysis through the lens of AI and machine learning technologies. The five-day intensive training covered a wide array of topics, blending theoretical foundations with practical Read more