A. Publications 
  1. Tulasi Ram, S., Sai Gowtam, V., Mitra, A., & Reinisch, B. (2018). The improved two-dimensional articial neural network-based ionospheric model (ANNIM). Journal of Geophysical Research: Space Physics, 123, 58075820.
  2.  Sai Gowtam, V., & Tulasi Ram, S. (2017). An Artificial Neural Network‐Based Ionospheric Model to Predict NmF2 and hmF2 Using Long‐Term Data Set of FORMOSAT‐3/COSMIC Radio Occultation Observations: Preliminary Results [ ACKNOWLEDGEMENTS FOR COMPUTATIONAL HELP]
B. Presentations:
  1. Mitra, A., Di Girolamo, L., Hong, Y., Zhan, Y. & Mueller, K. Comparison of Nearly Co-incident Cloud Top Heights (CTH) from MISR, Terra MODIS and ISS-CATS to Verify Long-term CTH Records. Presented at :
    •  EUMETSAT-NOAA-AMS 2019 Joint Satellite Meteorology Conference, Boston
    •  MISR Science Team Meeting, 2020

Attached : CATS_MISR_MODIS_CTH Intercomparison Preliminary Results Poster

C. Dissertations :

Master’s Thesis : A Study of Extensive Radio Occultation Data from 2007-2015 to Understand and Model Short and Long-term Variability in Ionospheric Response to Solar Forcing. Mitra, A., Tulasi Ram, S., Dutta, D. (2017)

Attached : MS_Thesis

[M.Sc. thesis that combined data analysis and a neural network algorithm to study and create a prognostic predictive model of ionospheric electrodynamics.]


PhD Candidate, Department of Atmospheric Sciences, UIUC, Cloud Physics/Remote Sensing