Research Areas

  • Denoising diffusion models for jet image generation
  • Graph embeddings and graph convolutional networks for high dimensional HEP and biomedical datasets
  • Active learning for rare, strange jets tagging
  • Latent spaces, embeddings, and transformers for jets
  • Supervised Spatially Spectrally Coherent Local Linear Embedding WGCN (Wasserstein Graph Convolutional Network) Architecture for multi dimensional data embedding and classification

Publications

  • MEDIC: A Network for Monitoring Data Quality in Collider Experiments. JINST 21 (2026), P02053. DOI: 10.1088/1748-0221/21/02/P02053. Juvenal Bassa, Arghya Chattopadhyay, Sudhir Malik, and Mario Escabi Rivera.

  • B-jet Tagging Using a Hybrid Edge Convolution and Transformer Architecture. JINST 21 (2026), P03019. DOI: 10.1088/1748-0221/21/03/P03019. Diego Vasquez and Vidya Manian.

  • Jet Image Tagging Using Deep Learning: An Ensemble Model. JINST 20 (2025), P09032. DOI: 10.1088/1748-0221/20/09/P09032. Juvenal Bassa, Vidya Manian, Sudhir Malik, and Arghya Chattopadhyay.

  • Early Parkinson’s Disease Prediction Using rS-fMRI Functional Connectivity and Autoencoder Graph Convolutional Network. IEEE Access, 13, 178862–178875 (2025). DOI: 10.1109/ACCESS.2025.3621150. L. L. Limas and V. Manian.

  • Supervised Spatially Spectrally Coherent Local Linear Embedding WGCN (Wasserstein Graph Convolutional Network) Architecture for Multidimensional Data Embedding and Classification. IEEE Transactions on Geoscience and Remote Sensing, 63 (2025). Jairo Orozco, Sergio Manzanare, and Vidya Manian.