Ms. Deepthi B

Junior Scientist
Ph. No. 0471. 2548214
E-mail : deepthi.kscste@kerala.gov.in
deepthibhadran2@gmail.com

 

Current Role
  • Scientist in charge of Ecology and Environment program of KSCSTE
Education
  • Ph.D. in Water Resources Engineering, 2025, IIT Bombay
  • Master of Technology (M.Tech) in Water Resources Engineering, 2020, VNIT Nagpur
  • Bachelor of Technology (B.Tech) in Civil Engineering, 2018, Kerala University
Awards & Recognitions
  • AGU-B DEI Travel Grant worth $1000 for attending the American Geophysical Union Fall Meeting 2023 in San Francisco, California, USA.
  • Received Prime Minister Research Fellowship (PMRF), Ministry of Human Resource and Development, Government of India (2021 – 2024).
  • Academic excellence prize and institute gold medal for securing highest CGPA in MTech).
Publications
Google Scholar Page: https://scholar.google.com/citations?user=Mjt8G5MAAAAJ&hl=en

  • Adarsh S, Kumar DN, Deepthi B, et al., 2019. Multifractal characterization of meteorological drought in India using detrended fluctuation analysis. Int J Climatol, 39:4234–4255. https://doi.org/10.1002/joc.6070
  • Sunil, A., Deepthi, B., Mirajkar, A.B., Adarsh, S., 2020. Modeling future irrigation water demands in the context of climate change: a case study of Jayakwadi command area, India. Model. Environ. https://doi.org/10.1007/s40808-020-00955-y
  • Deepthi, B., Sunil, A., Saranya, C.N., Mirajkar, A.B., Adarsh, S., 2021. Ranking of CMIP5-based general circulation models using compromise programming and TOPSIS for precipitation: a case study of Upper Godavari basin, India. International Journal of Big Data Mining for Global Warming. 2, 1, 2050007. https://doi.org/10.1142/S2630534820500072
  • Sivakumar, B., Deepthi, B., 2022a. Complexity of COVID-19 Dynamics. Entropy, 24, 50. https://doi.org/10.3390/e24010050
  • Deepthi, B., Sivakumar, B., 2022b. Performance assessment of general circulation models: application of compromise programming method and global performance indicator technique. Stoch Environ Res Risk Assess, 36, 1761–1778. https://doi.org/10.1007/s00477-021-02124-8
  • Deepthi, B., Sivakumar, B., 2022c. 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., 2022d. 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
Membership in Professional Bodies
  • National Academy of Biological Sciences (NABS)
  • Kerala Academy of Sciences