Hadis has been awarded a full PhD scholarship in Civil Engineering and Surveying from University of Southern Queensland. Hadis has diverse work experience in her field. She has about 6 years of multi-project engineering design experience in the field of water resource engineering (Irrigation, Drainage and Sewage systems), GIS and remote sensing. She is also experienced in engineering and modeling software, including GCM CMIP5 &6, HEC-HMS, AWBM, ArcGIS, AutoCAD, Google Earth Engine, HEC-RAS, MATLAB, NEVA, GEV analysis, SWMM, WMS, ERDAS and WaterGEMS, etc. The aim of her PhD research is to develop a framework integrating hydrological models, drought indices, spatial data, machine learning and climate projections under different scenarios based on the Generalised Extreme Value (GEV) model and explore the impacts of future climate change on the streamflow. Lockyer catchment of Southeast Queensland has been taken as a case study area as this region contains a mix of residential and agricultural areas and experiences extreme weather events such as floods. The proposed framework will help decision-makers, authorities, and water planners to investigate adaptation strategies to cope with future changes. Further, this framework can be useful in determining the susceptibility of this region to extremes in the future and support local emergency response operations.

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1. Pakdel, Hadis; Paudyal, Dev Raj; Chadalavada, Sreeni; Alam, Jahangir and Vazifedoust, Majid 2023. A Multi-Framework of Google Earth Engine and GEV for Spatial Analysis of Extremes in Non-Stationary Condition in Southeast Queensland, Australia. ISPRS Int. J. Geo-Inf. 2023, 12(9), 370; https://doi.org/10.3390/ijgi12090370.

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2. Pakdel, Hadis; Vazifedoust, Majid; Paudyal, Dev Raj; Chadalavada, Sreeni; and Alam, Jahangir 2022. Google Earth Engine as Multi-Sensor Open-Source Tool for Monitoring Stream Flow in the Transboundary River Basin: Doosti River Dam. ISPRS Int. J. Geo-Inf. 2022, 11(11), 535; https://doi.org/10.3390/ijgi11110535.