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Publications and Projects

Journal

  1. Anushka Joshi, Balasubramanian Raman, and C Krishna Mohan, An Integrated Approach for Prediction of Magnitude using Deep Learning Techniques, Neural Computing and Applications (IF: 4.5), 2024.

  2. Anushka Joshi, Balasubramanian Raman, C Krishna Mohan, and Linga Reddy Cenkeramaddi, A new machine learning approach for estimating shear wave velocity profile using borelog data, Soil Dynamics and Earthquake Engineering (IF: 4.2),177, 108424, 2023.

  3. Anushka Joshi, Chalavadi Vishnu, C Krishna Mohan, and Balasubramanian Raman, Application of XGBoost model for early prediction of earthquake magnitude from waveform data, Journal of Earth System Science (IF: 1.3), 2023, 10.1007/s12040-023-02210-1.

  4. Anushka Joshi, Balasubramanian Raman, C Krishna Mohan, and Linga Reddy Cenkeramaddi, Application of a New Machine Learning Model to Improve Earthquake Ground Motion Predictions, Natural Hazards (IF: 3.3), 2023, https://doi.org/10.1007/s11069-023-06230-4.

  5. Anushka Joshi, Chalavadi Vishnu, C Krishna Mohan, Early detection of earthquake magnitude based on stacked ensemble model, Journal of Asian Earth Sciences: X (IF: 1.7), Volume 8, 2022, 100122, ISSN 2590-0560, https://doi.org/10.1016/j.jaesx.2022.100122.

  6. Anushka Joshi, Pradeep Singh, Balasubramanian Raman, A Deep Attention Model for Onsite Estimation of Earthquake Epicenter Distance and Magnitude, IEEE Transactions on Geoscience and Remote Sensing (IF: 7.6), 2024,10.1109/TGRS.2024.3459425.

  7. Anushka Joshi, Pradeep Singh, Balasubramanian Raman, IsoMapGen: Framework for Early Prediction of Peak Ground Acceleration Using Tripartite Feature Extraction and Gated Attention Model, Computers and Geoscience (IF: 4.2), 2024.

  8. Anushka Joshi, Balasubramanian Raman, and C Krishna Mohan, Real-time earthquake magnitude prediction using designed machine learning ensemble trained on real and CTGAN generated synthetic data, Geodesy and Geodynamics (IF: 2.8), 2024.

  9. Anushka Joshi, Nithya Reddy Vedium, and Balasubramanian Raman, DFTQuake: Tripartite Fourier Attention and Dendrite Network for Real-Time Early Prediction of Earthquake Magnitude and Peak Ground Acceleration, Engineering Applications of Artificial Intelligence, 2025 (IF: 7.5).

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Conference

  1. Anushka Joshi and Balasubramanian Raman, Earthquake Early Magnitude Prediction Using 3D Point Cloud Based Deep Learning Model: Case of 2018 Osaka Earthquake, TECCOON, 2025.

  2. Anushka Joshi, Pankaj Kumar, and Balasubramanian Raman, Sequence to Sequence deep learning model with genetic algorithm optimizer to predict earthquake magnitude using Indian dataset, 2024, 8ICRAGEE.

  3. Anushka Joshi, Sateesh Kumar Peddoju, and Mohit Pandey, Simulated Annealing Algorithm for Subsurface Shear Wave Velocity Investigation Using Ground Vibration Data, 2021, 23-38. 10.1007/978-981-15-9984-2_3, 7ICRAGEE

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Workshops

  1. Anushka Joshi, Balasubramanian Raman, Prediction of Peak Ground Acceleration Using Machine Learning Technique, 2023, Earth sciences in India: Challenges and Emerging Trends (ESICET-2023).

  2. Anushka Joshi, Balasubramanian Raman, Magnitude prediction in Earthquake Early Warning System using Long Short Term Memory (LSTM) deep learning model, 2024, National Conference on Geosciences For Sustainable World. (Won best e-poster award)

Project

  1. Anushka Joshi (Team Lead), Chalavadi Vishnu, C Krishna Mohan (Mentor), Machine Learning approach for earthquake resistance design criteria: Development of Attenuation relation for peak ground acceleration, 2022, IIT Hyderabad.

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