Conference presentations
Talks
5th URSI-Regional Conference on Radio Science, 2022- “Evaluation of different Machine Learning Models for identifications of Flares with CMEs”.
First Indian Space Weather Conference (2022) - "Exhaustive Machine Learning analysis on CMEs associated with flares and filaments"
URSI Regional conference on Radio science- 2020 - on "Prediction of Solar Wind speed from Coronal Hole images using Deep Learning"
Poster
Presented my work titled “Deep Learning based Eruptive Flare Forecasting” in 20th meeting of the Asia Oceania Geosciences Society, 30th Jul- 04th Aug 2023, Singapore.
Presented “Forecasting CMEs by addressing class imbalance using several machine learning models” in 18th European Space Weather Week (ESWW) 2022 (Online) .
Presented “Deep learning analysis on CMEs associated with flares and filaments” in 2nd Machine Learning in Heliophysics, Boulder, 2022 (Online).
Journal Papers
Raju, H., Das, S. CNN-Based Deep Learning Model for Solar Wind Forecasting. Sol Phys 296, 134 (2021). https://doi.org/10.1007/s11207-021-01874-6
Raju, H., Das, S. Interpretable ML-Based Forecasting of CMEs Associated with Flares. Sol Phys 298, 96 (2023). https://doi.org/10.1007/s11207-023-02187-6
Achievements
Received International Travel Grant from the institute to present my work in International conference (2023).
Selected for the Early Career Scientist Award of the First Indian Space Weather Conference (2022).
Selected for Aditya-L1 workshop on flares and CMEs (2022)
Selected for first meeting of Science from In-situ Measurements of Aditya (SIMA) (2023).
Received financial grant for registration in ESWW 2022.
Recipient of 2022 IEEE GRSS IDEA Professional Development Microgrant.