Dr. MEENAKSHI SHENOY

Dr. MEENAKSHI SHENOY

Position: Assistant Professor

EDUCATIONAL QUALIFICATON:

  • B.Sc. (Mathematics)
  • M.Sc. (Applied Mathematics)
  • Ph.D. (Ocean-Atmospheric Sciences)

TOTAL RESEARCH EXPERIENCE: 7 years

GOOGLE SCHOLAR ID: https://scholar.google.com/citations?user=awxggZEAAAAJ&hl=en

AREAS OF INTEREST: Numerical Weather Prediction Models, Machine Learning, Data Assimilation, Artificial Intelligence.

PROFILE SUMMARY:

  • Academic background in Applied Mathematics with over 7 years of research experience in Atmospheric and Weather Sciences.
  • Expertise in applying mathematical and computational techniques to numerical weather prediction, tropical cyclone modelling, and data assimilation.
  • Hands-on experience with advanced modelling systems including WRF, HWRF, GSI, and GEFS, supported by strong numerical and analytical skills.
  • Proficient in HPC-based model implementation, numerical simulations, and extreme event analysis.
  • Published research in reputable international journals and presented work at major national and international scientific forums.
  • Experienced in postgraduate teaching and student guidance in modelling and data analysis.
  • Skilled in Python, Shell scripting, Fortran, and scientific visualization tools used for atmospheric and mathematical data processing.
  • Committed to interdisciplinary academic research, scientific innovation, and capacity building in both atmospheric and mathematical sciences.

RESEARCH PUBLICATIONS

  • Shenoy, M., Prasad, V.S., Desamsetti, S., Hari Prasad, K.B.R.R., Dutta, S. and Raju, P.V.S. Improvement of tropical cyclone prediction with vortex initialization in cyclic data assimilation using WRF model. Natural Hazards (2025). https://doi.org/10.1007/s11069-025-07721-2
  • Shenoy, M., Dutta, S., Routray, A. and Prasad, V.S. Initial Assessment of IPW data from SOI-CORS stations over Uttar Pradesh. Mausam (2025). https://doi.org/10.54302/mausam.v76i4.7040
  • Shenoy, M., Dutta, S., Desamsetti, S., Rani, S. I. and Prasad, V.S. Assessing the impact of Oceansat-3 Surface winds on monsoonal low-pressure systems using WRF ARW model. Journal of the Indian Society of Remote Sensing (2025). https://doi.org/10.1007/s12524-
    024-02079-7
  • Shenoy, M., Raju, P.V.S, Prasad, V.S. and Hari Prasad, K.B.R.R. Sensitivity of physical schemes on simulation of severe cyclones over Bay of Bengal using WRF-ARW model.Theoretical and Applied Climatology (2022). https://doi.org/10.1007/s00704-022-04102-8  \
  • Shenoy, M., Raju, P.V.S. and Prasad, J. Optimization of physical schemes in WRF model on cyclone simulations over Bay of Bengal using one-way ANOVA and Tukey’s test. Nature Scientific Reports (2021). https://doi.org/10.1038/s41598-021-02723-z