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About me I am a Junior Scientist at the Kerala State Council for Science, Technology and Environment (KSCSTE) with research expertise in climate change impacts on water resources, rainfall prediction, hydrological extremes, and downscaling of climate models. My work combines chaos theory, complex networks, machine learning, and physics informed approaches to improve climate and hydrological predictions. I have published in leading international journals, presented at AGU, EGU and AOGS, and received recognitions including the Prime Minister’s Research Fellowship and the AGU B DEI Travel Grant. I am committed to advancing research that supports climate resilience and sustainable water management. Name of Schemes &programmes (including external funded Programmes): Kerala Young Scientist Award and Ecology and Environment Scheme Academic Qualifications: PhD Subject: Water Resources Engineering Title:Assessment of Climate Change Impact on Rainfall: A New Framework based on Chaos Theory and Complex Networks Year: 2025 Institution: Indian Institute of Technology Bombay Post-graduation Subject: Water Resources Engineering Year: 2020 University: Visvesvaraya National Institute of Technology Nagpur Graduation Subject: Civil Engineering Year: 2018 University: Kerala University Professional Experience/ Academic Positions: Designation: Junior Scientist Organization: Kerala State Council for Science, Technology and Environment Duration: 20-11-2024 to till date Water Resources Engineering Climate change impact on water resources General Circulation Models Complex Networks Chaos Theory Deepthi, B., Sivakumar, B., 2022a. General circulation models for rainfall simulations: Performance assessment using complex networks. Atmospheric Research, 278, 06333.https://doi.org/10.1016/j.atmosres.2022.106333 Deepthi, B., Sivakumar, B., 2022b.Towards assessing the importance of individual stations in hydrometric networks: application of complex networks. Stochastic Environmental Research and Risk Assessment. https://doi.org/10.1007/s00477-022-02340-w Deepthi, B., Sivakumar, B., 2023.Shortest path length for evaluating general circulation models for rainfall simulation. Clim Dyn. https://doi.org/10.1007/s00382-023-06713-x Deepthi, B., Sivakumar, B., 2024. Spatial downscaling of rainfall from general circulation models: A chaos theory-based framework. Atmospheric Research, 308, 107531. https://doi.org/10.1016/j.atmosres.2024.107531 Sunil, A., Deepthi, B., Rashid, M. et al., 2025. Assessing machine learning and Physics-Informed models for Multi-Lead time sea surface temperature prediction in the Arabian sea. Stoch Environ Res Risk Assess. https://doi.org/10.1007/s00477-025-03049-2 URL of Googlescholar: https://scholar.google.com/citations?user=Mjt8G5MAAAAJ&hl=en AGU-B DEI Travel Grant worth $1000 for attending the American Geophysical Union Fall Meeting 2023 in San Francisco, California, USA Prime Minister Research Fellowship (PMRF), Ministry of Human Resource and Development, Government of India, since 2021 Academic excellence prize and institute gold medal for securing highest CGPA in MTech Achieved a GATE (Graduate Aptitude Test in Engineering) score of 453 for Civil Engineering in 2018 Membership in Professional Bodies Asia Oceania Geosciences Society American Geophysical Union European Geosciences Union Smt. Jasmi Wilfred Project fellow Shri.Sivaprasad S Project Assistant Dr. Deepthi B Junior Scientist,2nd Floor, SasthraBhavan, Pattom P O., Thiruvananthapuram – 695004 Email ID : deepthibhadran2@gmail.com Phone (Office/Mob) : 7025096464
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