Sarat Chandra Dass

Professor Sarat Chandra Dass is affiliated with Heriot-Watt University in Edinburgh, where he works in the School of Mathematical and Computer Sciences. His research spans Statistics, Bayesian Statistics, and Data Science, with applications in Ionospheric Modeling, Solar Flares, and Seismic Analysis.

• Research Focus: Statistical modeling, machine learning, and data assimilation techniques applied to space weather and geophysical phenomena.
• Teaching: Leads courses in Bayesian inference and computational methods.

Recent publications highlight his work on TEC prediction using advanced machine learning models like Bi-LSTM, LSTM, and XGBoost, with validation against frameworks such as IRI-Plas 2020 and IRI-2017. These studies focus on ionospheric responses during solar flares and geomagnetic storms, leveraging GPS data and universal kriging for spatio-temporal analysis.

Collaborations: Active in international research networks, particularly in Indonesia and India, addressing challenges in ionospheric disturbances and space weather forecasting.