Projects

Ongoing Projects

• Project: On Explainable AI

  Project Members: Aditya Saini, Khushali Verma, Sumedha Chugh
  
  Related Publications:
  
  Paper titled: Informative Perturbation Selection for Uncertainty-Aware Post-hoc Explanations, by Sumedha Chugh, Dr. Ranjitha Prasad and Nazreen Shah under review at ECML 2026.
  
  Paper titled: Select Wisely and Explain: Active Learning and Probabilistic Local Post-hoc Explainability , by Aditya Saini and Dr. Ranjitha Prasad got accepted at AIES 2022.
  
  Paper titled: Locally Interpretable Model Agnostic Explanations using Gaussian Processes, by Aditya Saini and Dr. Ranjitha Prasad got accepted at DeepAI 2021.
  



• DST SERB Power Project: On Personalised Federated Learning

  Project Members: Nazreen Shah, Divyansh Rastogi
  
  Related Publications:
  

• Meity CCBT Project: On Secure Federated Learning

  Project Members: Zubair Shaban, Ayush Madhan Sohini, Divin Dominic, Pooja Kumari
  
  Related Publications:
  

Completed Projects

• Meity Project: A Data-Centric Approach to Study Fundamental Limits of Communication in Adversarial wireless Networks

  Project Members: Ranjitha Prasad, Zubair Shaban, Varun Muttepawar, Arjun
  Website: Federated Learning for Wireless Applications: A Prototype
  GitHub: Federated Learning for Wireless Applications: A Prototype
  Publications: Federated Learning for Wireless Applications: A Prototype
  

Materials

• Supplementary: Robust Over-The-Air Federated Learning In Heterogeneous Networks