Rate My Professor Sourav Das

Das's research expertise encompasses methodological and applied statistical analysis of time series and spatial processes, with a focus on spatio-temporal modelling of natural hazards such as landslides, tropical cyclones, river flows, and tailings dam collapses, as well as epidemiological applications including tuberculosis dynamics and public health interventions. His interdisciplinary interests span geostatistics, spectral methods, environmental monitoring, and disaster risk reduction. Notable publications include 'Monitoring the risk of a tailings dam collapse through spectral analysis of satellite InSAR time-series data' (2024), 'Spectral methods for small sample time series: A complete periodogram approach' (2021), 'Near Real-Time Characterization of Spatio-Temporal Precursory Evolution of a Rockslide from Radar Data' (2019), 'Parasternal intercostal muscle ultrasound in chronic obstructive pulmonary disease correlates with spirometric severity' (2018), 'Time series analysis of demographic and temporal trends of tuberculosis in Singapore' (2014), and 'Measuring the degree of non-stationarity of a time series' (2016). His scholarship has accumulated over 280 citations. At Curtin, he contributes to teaching in mathematics and statistics and supervises doctoral research in statistics for natural hazards.