| 2026 | COMSNETS | Nishpaksh: TEC Standard-Compliant Framework for Fairness Auditing and Certification of AI Models. | Shashank Prakash, Ranjitha Prasad, Avinash Agarwal |
| 2025 | AISTATS | On the Convergence of Continual Federated Learning Using Incrementally Aggregated Gradients. | Satish Kumar Keshri, Nazreen Shah, Ranjitha Prasad |
| 2025 | ICASSP | Robust Over-The-Air Federated Learning In Heterogeneous Networks. | Zubair Shaban, Nazreen Shah, Ranjitha Prasad |
| 2024 | COMAD | Exploiting Sparsity in Over-parameterized Federated Learning over Multiple Access Channels. | Gagandeep Kaur, Ranjitha Prasad |
| 2024 | COMAD | Continual Federated Learning with Aggregated Gradients. | Satish Kumar Keshri, Nazreen Shah, Ranjitha Prasad |
| 2024 | COMAD | Enhancing Federated Learning robustness in Wireless Networks. | Zubair Shaban, Ranjitha Prasad |
| 2024 | COMAD | Federated Probabilistic Representation Learning using Information Geometric Approach. | Nazreen Shah, Ranjitha Prasad |
| 2024 | COMSNETS | Federated Learning for Wireless Applications: A Prototype. | Varun Laxman Muttepawar, Arjun Mehra, Zubair Shaban, Ranjitha Prasad, Jagadeesh Harshan |
| 2024 | ICASSP | Over The Air Federated Learning in the Presence of Impulsive Noise. | Zubair Shaban, Ranjitha Prasad, Pooja Kumari |
| 2024 | ICASSP | Importance Sampling Based Federated Unsupervised Representation Learning. | Nazreen Shah, Prachi Goyal, Ranjitha Prasad |
| 2024 | VTC | Seeing is Believing: A Federated Learning Based Prototype to Detect Wireless Injection Attacks. | Aadil Hussain, Nitheesh Gundapu, Sarang Drugkar, Suraj Kiran, J. Harshan, Ranjitha Prasad |
| 2023 | GLOBECOM | Over-the-air Clustered Wireless Federated Learning. | Ayush Madhan-Sohini, Divin Dominic, Nazreen Shah, Ranjitha Prasad |
| 2023 | ICASSP | Deep Survival Analysis and Counterfactual Inference Using Balanced Representations. | Muskan Gupta, Gokul Kannan, Ranjitha Prasad, Garima Gupta |
| 2022 | AIES | Select Wisely and Explain: Active Learning and Probabilistic Local Post-hoc Explainability. | Aditya Saini, Ranjitha Prasad |
| 2022 | VTC | Path-Aware OMP Algorithms for Provenance Recovery in Wireless Networks. | Shilpi Mishra, J. Harshan, Ranjitha Prasad |
| 2021 | ACML | DAGSurv: Directed Ayclic Graph Based Survival Analysis Using Deep Neural Networks. | Ansh Kumar Sharma, Rahul Kukreja, Ranjitha Prasad, Shilpa Rao |
| 2021 | ICASSP | B-Small: A Bayesian Neural Network Approach to Sparse Model-Agnostic Meta-Learning. | Anish Madan, Ranjitha Prasad |
| 2020 | ESANN | MultiMBNN: Matched and Balanced Causal Inference with Neural Networks. | Ankit Sharma, Garima Gupta, Ranjitha Prasad, Arnab Chatterjee, Lovekesh Vig, Gautam Shroff |
| 2020 | ICASSP | Variational Student: Learning Compact and Sparser Networks In Knowledge Distillation Framework. | Srinidhi Hegde, Ranjitha Prasad, Ramya Hebbalaguppe, Vishwajeet Kumar |
| 2020 | ICDM | CAMTA: Causal Attention Model for Multi-touch Attribution. | Sachin Kumar, Garima Gupta, Ranjitha Prasad, Arnab Chatterjee, Lovekesh Vig, Gautam Shroff |
| 2020 | KDD | Hi-CI: Deep Causal Inference in High Dimensions. | Ankit Sharma, Garima Gupta, Ranjitha Prasad, Arnab Chatterjee, Lovekesh Vig, Gautam Shroff |
| 2019 | PAKDD | CRESA: A Deep Learning Approach to Competing Risks, Recurrent Event Survival Analysis. | Garima Gupta, Vishal Sunder, Ranjitha Prasad, Gautam Shroff |
| 2015 | GLOBECOM | Online Recovery of Temporally Correlated Sparse Signals Using Multiple Measurement Vectors. | Geethu Joseph, Chandra R. Murthy, Ranjitha Prasad, Bhaskar D. Rao |
| 2015 | ICASSP | Sparse signal recovery in the presence of colored noise and rank-deficient noise covariance matrix: An SBL approach. | Vinuthna Vinjamuri, Ranjitha Prasad, Chandra R. Murthy |
| 2014 | ICASSP | Nested Sparse Bayesian Learning for block-sparse signals with intra-block correlation. | Ranjitha Prasad, Chandra R. Murthy, Bhaskar D. Rao |
| 2011 | ICASSP | Joint data detection and dominant singular mode estimation in time varying reciprocal MIMO systems. | Ranjitha Prasad, Bettagere Nagaraja Bharath, Chandra R. Murthy |
| 2010 | GLOBECOM | Bayesian Learning for Joint Sparse OFDM Channel Estimation and Data Detection. | Ranjitha Prasad, Chandra R. Murthy |
| 2008 | GLOBECOM | Robust Channel Tracking in Fast Fading MIMO channels. | Ranjitha Prasad, Krishnamurthy Giridhar |