Jency Maria Sojan
Also known as: Jency M. Sojan
Indian Institute of Science Bangalore, Indian Institute of Technology Tirupati, Mar Athanasius College of Engineering
About
I am an environmental and water resources engineer with expertise in non-stationary modelling of extreme rainfall, flood hazard mapping, and hydraulic modelling. My research focuses on understanding the effects of climate change on extreme weather events.
Currently, as a Project Scientist at Divecha Centre for Climate Change, Indian Institute of Science in Bengaluru, I am working on understanding the impact of extreme humid heat stress over India. Previously, I worked as a Science Officer and Project Associate at the same organization, where I liaised with Future Earth Coasts and engaged with experts, stakeholders, and the public to identify solutions for reducing coastal risks in South Asian countries.
I have been part of several research projects, including non-stationary modelling of future Intensity-Duration-Frequency (IDF) Curves for the Monsoon Asia region, creating flood hazard maps for River Baxter and River Periyar using HEC-RAS, assessing water quality using GIS and Remote Sensing, and hydraulic modelling of the Maniyari irrigation canal using HEC-RAS. My research contributions are published in peer-reviewed journals and presented at various international conferences.
Employment
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Indian Institute of Science Bangalore Project Scientist2022 - Present
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Indian Institute of Science Bangalore Science Officer2021 - Present
Education
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Indian Institute of Technology Tirupati Master of Technology2019 - 2021
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Mar Athanasius College of Engineering Bachelor of Technology2014 - 2018
Projects & Funding
Projects & funding information is unavailable.
Publications (8)
- Beyond Extreme Temperature: Spatiotemporal Analysis of Humid Heat Stress Save
- A comparative analysis of accelerating humid and dry heat stress in India Save
- Regional non-stationary future extreme rainfall under changing climate over Asian Monsoon Region Save
- Intensity-Duration-Frequency (IDF) Curves Under Changing Climate – A Non-Stationary Modelling Approach Save
- Non-stationary Modeling of Extreme Precipitation over Monsoon Asia – Role of Teleconnection Time Lags Save
- Water Quality Analysis During COVID-19 Lockdown - Remote Sensing Data for Lake Hussain Sagar, India Save
- Indicative Lake Water Quality Assessment Using Remote Sensing Images-Effect of COVID-19 Lockdown Save
- Role of Cluster Validity Indices in Delineation of Precipitation Regions Save