Dr. Laxmi Gupta
Thapar Institute of Engineering and Technology, Shiv Nadar University, Indian Institute of Technology Roorkee, Amity University, University of Calcutta
0000-0003-4453-3119
About
I am Dr. Laxmi Gupta, currently working as an Assistant Professor (Research) at the School of Energy and Environment, Thapar Institute of Engineering and Technology, Patiala, Punjab. I hold a Ph.D. in Civil Engineering from Shiv Nadar Institution of Eminence, where my doctoral research focused on geospatial-based multi-criteria flood risk assessment and the role of nature-based solutions for flood risk reduction in Assam, India. My academic journey is rooted in interdisciplinary expertise, with an M.Tech in Disaster Mitigation and Management from IIT Roorkee and an M.Sc. in Environmental Science from the University of Calcutta.
My research interests span Remote Sensing and GIS applications, disaster management, natural hazard risk assessment, multi-hazard mapping, vulnerability analysis, and nature-based solutions for climate resilience.
Technically, I am proficient in GIS platforms like ArcGIS, QGIS, and Google Earth Engine, with advanced skills in spatial analysis, satellite image processing, and geostatistics.
With a strong commitment to research-driven solutions for sustainable development and resilience planning, I aspire to continue interdisciplinary collaborations that integrate geospatial science, environmental management, and disaster risk reduction.
Employment
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Thapar Institute of Engineering and Technology Assistant Professor (Research)2025 - Present
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Shiv Nadar University Research Associate2023 - 2025
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Amity University Junior Research Fellow2018 - 2019
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Teerthanker Mahaveer University Assistant Professor2015 - 2017
Education
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Shiv Nadar University Ph.D.2019 - 2023
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Indian Institute of Technology Roorkee M. Tech2013 - 2015
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University of Calcutta M. Sc2010 - 2012
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University of Calcutta B.Sc2005 - 2010
Projects & Funding
Projects & funding information is unavailable.
Publications (23)
- Performance assessment of topographic position index and geomorphon-based landform classification for geomorphic analysis of Indian Western Himalayas Save
- Machine learning-based prediction of land use and land cover, and estimation of surface runoff using the GIS-based NRCS-CN model Save
- Machine learning based land use land cover analysis and prediction in Google Earth Engine towards achieving sustainable development in Indian Western Himalayan region Save
- Urban climate stress assessment integrating spectral indices, Random Forest-based land use and land cover dynamics, and urban flood inundation using Google Earth Engine Save
- Machine learning and GIS-based multi-hazard risk modeling for Uttarakhand: Integrating seismic, landslide, and flood susceptibility with socioeconomic vulnerability Save
- Landslide susceptibility assessment for Uttarakhand, a Himalayan state of India, using multi-criteria decision making, bivariate, and machine learning models Save
- Spatial analysis of urban green space and its utilization rate for the flood-prone region Assam, India Save
- Land Suitability Estimation for Urban Development in Flood-Prone Regions Using a GIS-Based MCDA Approach Save
- Investigating the spatial distribution of flood inundation and landforms using topographic position index (TPI) and geomorphon-based automated landform classification methods Save
- Quantification of geomorphodiversity and its spatial distribution with the flood inundation areas for Assam, India Save