Nishtha Srivastava

Nishtha Srivastava is a Research Fellow at the Frankfurt Institute for Advanced Studies (FIAS) under the Theoretical Sciences school. Her work bridges Seismology and Artificial Intelligence, focusing on enhancing Earthquake Early Warning Systems (EEWs) and seismic event detection through AI/ML models.

Her research explores seismic stress release patterns, deep learning architectures for earthquake magnitude estimation (e.g., CREIME, PolarCAP), and automated volcanic event analysis. Key projects include the BMBF-funded Seismology and Artificial Intelligence (SAI) initiative, which develops tools like AWESAM for real-time volcano monitoring.

She collaborates with PhD students (Jonas Köhler, Abel Daniel Zaragoza Alonzo) and postdocs (Wei Li, Claudia Quinteros) at FIAS, contributing to advancements in seismic phase picking, P-wave detection, and industrial AI applications. Her work emphasizes rapid warning systems in high-risk regions like Southern California and Indonesia.