t~ai Seminar Series

  • Tejay Lovelock and Rohitash Chandra, “Unsupervised Machine Learning Framework for Identification of Spatial Distribution of Minerals on Mars”, (August 2025). MDPI Remote Sensing, YouTube

  • Junru Hua, Rahul Ahluwalia, Rohitash Chandra, “Extreme value forecasting using relevance-based data augmentation with deep learning models”, (October 2025). arXiv Link, YouTube

  • Guoxiang Ren and R. Chandra, “Analysis of IMDb Movie Reviews and Ratings Using a Language Model Framework”, (November 2025). IEEE access, YouTube

  • Vamshika Sutar, Amandeep Singh, Rohitash Chandra, “Spatiotemporal deep learning models for detection of rapid intensification in cyclones”, (June 2025). arXiv Link, YouTube

  • Rohitash Chandra, Arpit Kapoor, “Ensemble quantile-based deep learning framework for streamflow and flood prediction in Australian catchments”, (April 2025). arXiv Link, YouTube

List of Seminars

Tutorials

  • R. Chandra, R. and J. Simmons, Bayesian neural networks via MCMC: a Python-based tutorial. IEEE Access, 2024. Github, Video Tutorial, Open access paper
  • J. Hawkins, Github tutorial, 2024
  • R. Chandra, Python Programming Bootcamp, (GitHub)[https://github.com/rohitash-chandra/python-bootcamp], 2021. Tutorial videos ~ 16 hours

Open Datasets

  • G. Ren and R. Chandra, “Hollywood movie subtitle dataset”, Kaggle, 2025
  • G. Ren and R. Chandra, “IMDb movie reviews grouped by ratings”, Kaggle, 2025
  • A. Singh and R. Chandra, “Hinduphobic COVID-19 X (Twitter) Dataset”, Kaggle, 2025
  • R. Chandra, A. Singh, A. Ashok, N. Ramesh, A. Kapoor, A. Demoskoy, V. Sutar, “Cyclone intensity and trajectory dataset”, GitHub repository, 2024
  • R. Chandra, J. Lande, “Global COVID-19 X (Twitter) dataset”, Kaggle, 2022

Github