Rate My Professor Sourav Das

Dr. Sourav Das serves as a Senior Lecturer in statistics and data science within the School of Electrical Engineering, Computing and Mathematical Sciences at Curtin University, part of the Faculty of Science and Engineering. He obtained his Doctor of Philosophy in Statistics from the University of Manchester in 2011. His academic career includes a postdoctoral fellowship at the CR Rao Advanced Institute of Mathematics, Statistics and Computer Science from 2011 to 2012, a Research Assistant position in Statistics at the Centre for Infectious Disease Epidemiology and Research, National University of Singapore, from April to June 2015, and a Senior Lecturer role at James Cook University from 2022 to 2023, where he also holds an adjunct position in the College of Science and Engineering.

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.