| Issue Date | Title | Author(s) |
| 2021-07 | A bayesian perspective to explainable AI | Saini, Aditya; Prasad, Ranjitha (Advisor) |
| 2022-12 | Counterfactual inference framework for joint estimation of medical costs, treatment effect and time-to-event | Khan, Zuber; Prasad, Ranjitha (Advisor) |
| 2022-05 | DAG-LIME : causal interpretability using directed acyclic graphs | Verma, Khushali; Prasad, Ranjitha (Advisor) |
| 2022-12 | Decentralized federated learning in wireless networks | Sohini, Ayush Madhan; Dominic, Divin; Prasad, Ranjitha (Advisor) |
| 2022-12 | Decentralized federated learning in wireless networks | Kumari, Pooja; Prasad, Ranjitha (Advisor) |
| 2023-11-29 | Demonstration of federated averaging using zigbee and SDR | Singh, Monika; Prasad, Ranjitha (Advisor) |
| 2023-11-29 | Fair counterfactual prediction | Choudhary, Simran; Prasad, Ranjitha (Advisor) |
| 2024-12-07 | Fairness and bias in AI/ML systems | Raj, Sarthak; Gaur, Nishchal; Prasad, Ranjitha (Advisor) |
| 2023-12-07 | Federated averaging in noisy asynchronous settings | Fatima, Zubaida; Jamal, Yusuf; Prasad, Ranjitha (Advisor) |
| 2023-11-28 | Federated learning in wireless networks | Mehra, Arjun; Muttepawar, Varun; Prasad, Ranjitha (Advisor) |
| 2024-12-11 | Federated learning In wireless systems | Ayana; Bansal, Bharti; Prasad, Ranjitha (Advisor) |
| 2021-12 | Joint graph learning and prediction | Akhtar, Mohammad Hamzah; Sheoran, Shikhar; Prasad, Ranjitha (Advisor) |
| 2023-07 | Optimizing medical costs and resource utilization using causal inference and explaining the model’s predictions | Jain, Tanisha; Prasad, Ranjitha (Advisor) |
| 2022-12 | Personalized federated self supervised multitask learning | Rastogi, Divyansh; Prasad, Ranjitha (Advisor) |
| 2023-07 | Personalized unsupervised federated autoencoders | Arora, Kanika; Prasad, Ranjitha (Advisor) |
| 2020-12 | Population / patient phenotype similarity based GCN for survival analysis | Kirtani, Chhavi; Prasad, Ranjitha (Advisor) |
| 2023-11-29 | Post-hoc explainable methods: uncertainty in counterfactual explanations | Reddy, Mortala Gautam; Prasad, Ranjitha (Advisor) |
| 2024-03 | Semi Supervised Federated Learning with pseudo-labeling | Gupta, Kavya; Prasad, Ranjitha (Advisor) |
| 2023-12-12 | Temporal causal effect variational autoencoder | Aggarwal, Soumya; Gandhi, Vansh; Prasad, Ranjitha (Advisor) |
| 2024-08-01 | VT-Nood : vision transformer based near ood detection in fine-grained datasets | Dey, Kaushik; Prasad, Ranjitha (Advisor) |
