Our work on complex networks and extremes during ISMR is now on pre-print: authorea.com/doi/full/10.22…

Our team’s latest paper builds on our ongoing work in the are Physics Informed Machine Learning (PIML), this time for daily streamflow in managed and unmanaged catchments. sciencedirect.com/science/articl…

Some of our work in news: patrika.com/ahmedabad-news… timesofindia.indiatimes.com/city/ahmedabad… indianexpress.com/article/cities…

Network-based restoration strategies that prioritize the reintroduction of highly connected species maximize the recovery of biodiversity following ecosystem collapse. udit bhatia, IIT Gandhinagar, Northeastern U. nature.com/articles/s4200…

coe.northeastern.edu/news/reviving-…

news.northeastern.edu/2024/01/05/cli…

Climate models show biases or systematic errors. Quantile mapping methods (Bias Correction Spatial Disaggregation) are popular for correcting these biases. But do they only fix only systematic error, or do they risk overcorrection? Vikram chandel answers doi.org/10.1088/1748-9…

nature.com/articles/s4159…

ACM India CSE@IITGN IIT Gandhinagar Anirban Dasgupta TCS Research Netweb Technologies India Ltd. Director, IIT Gandhinagar Rajat MOONA Ayush Shrivastava Venkat Padmanabhan Microsoft Pallavi Bharadwaj, PhD Shataxi Dubey Devansh Lodha Next, Prof. udit bhatia Associate Professor in the Department of Civil Engineering (jointly with Computer Science and Earth Sciences) at IIT Gandhinagar, delivered a compelling session on Network and Optimization for Food Security. He explored how advanced computational

In the next session, Prof. udit bhatia , Associate Professor at IIT Gandhinagar, delivered a compelling talk on Physics-guided Machine Learning for Water and Floods. He explained how integrating physical principles with machine learning helps build more robust, reliable,