Himanshu specializes in big geospatial data analysis for disaster hazard and risk analysis. She has extensive experience in this field and is passionate about sharing her knowledge and expertise. Her research focuses on using deep learning techniques, particularly using Python, for geospatial analysis to identify potential hazards and risks in different areas. Himanshu is particularly interested in developing mitigation measures to reduce the impact of natural disasters on vulnerable communities. She has a PhD in geotechnical engineering from Indian Institute of Science, Bangalore, India. During her PhD, Himanshu conducted extensive regional-scale mapping using GIS and remote sensing technologies, which helped to better understand the patterns and processes of the Earth's surface. She has developed probabilistic models to assess the likelihood of disasters and their potential impact on communities. She has a master’s degree in earthquake engineering from Indian Institute of Technology, Roorkee, India which mainly focused on probabilistic seismic hazard assessment for north-eastern part of India.
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University of Twente
Langezijds (building no. 19), room 1315
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Netherlands
University of Twente
Langezijds 1315
P.O. Box 217
7500 AE Enschede
Netherlands
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