Dr Ashmita Sengupta

Ashmita is a senior research scientist with research interested in ecohydrology and integrated water resource management.

Biography

Dr. Ashmita Sengupta completed her Ph.D. and M.S from the University of Massachusetts, Amherst, and subsequently joined Southern California Coastal Water Research Project (SCCWRP), Joint Powers Agency as a scientist. Her research interests are in the areas of ecohydrology, integrated water resource management, and best management practices to control runoff, exploring the applicability of offsets for pollutants, and stress responses. In the past, she has worked on adapting water quality guidelines for developing countries (Cambodia, and Bangladesh) at the World Health Organization. She has also worked as a design engineer, and modeler on Yamuna Action Plan (YAP), a bilateral river restoration project between the Governments of Japan and India.

Recent Publications

Refining ICESAT-2 ATL13 Altimetry Data for Improving Water Surface Elevation Accuracy on Rivers

Y Chen, Q Liu, C Ticehurst, C Sarker, F Karim, D Penton, A Sengupta (May, 2024)

https://doi.org/10.3390/rs16101706

Dynamic habitat modelling for water-dependent species in the Murray-Darling Basin

K Mokany, D Peel, R Ponce Reyes, SD Foster, DS Stratford, HM McGinness, BP Zampatti, S Nicol, AC Freebairn, PJ McInerney, A Sengupta (March, 2024)

https://doi.org/10.1016/j.ecolind.2024.111801

Development of a computationally efficient floodplain ecological response model for large-scale, data-sparse riparian environments

J Teng, B Croke, D Tan, T Iwanaga, AJ Jakeman, C Pollino, D Stratford, J Vaze, W Dawes, P Bridgeman, A Sengupta (November, 2023)

https://doi.org/10.1016/j.ecoinf.2023.102252

MDBA/CSIRO Ecosystem Functions Project: Synthesis report

A Sengupta, P McInerney, M O’Brien, K Mokany, S Nicol, J Teng, C Ticehurst, D Penton, A Freebairn, W Dawes, D Peel, R Ponce Reyes, H McGinness, L Lloyd-Jones, D Stratford, S Marvanek, K Joehnk, F Karim, B Zampatti, D Giling, T Doody, S Gao, S Foster, C Pollino (November, 2023)

https://doi.org/10.25919/m3an-ge89

Development of a computationally efficient floodplain ecological response model for large-scale, data-sparse riparian environments

J Teng, B Croke, D Tan, T Iwanaga, AJ Jakeman, C Pollino, D Stratford, J Vaze, W Dawes, P Bridgeman, A Sengupta (August, 2023)

https://doi.org/10.1016/j.ecoinf.2023.102252