| 2026 | DBSEC | On Targeted Output Generation via Adversarial Reframing in Language Models. | Shahnewaz Karim Sakib, Swati Kar, Anindya Bijoy Das |
| 2026 | WACV | On the Evaluation of Multimodal Large Language Models for Agricultural Image Classification Across Diverse Tasks. | Anindya Bijoy Das, Shibbir Ahmed, Shahnewaz Karim Sakib |
| 2025 | ICCV | Trustworthy Medical Imaging with Large Language Models: A Study of Hallucinations Across Modalities. | Anindya Bijoy Das, Shahnewaz Karim Sakib, Shibbir Ahmed |
| 2025 | ICIP | Can Large Language Models Challenge CNNs in Medical Image Analysis? | Shibbir Ahmed, Shahnewaz Karim Sakib, Anindya Bijoy Das |
| 2023 | GLOBECOM | A Reinforcement Learning-Based Approach to Graph Discovery in D2D-Enabled Federated Learning. | Satyavrat Wagle, Anindya Bijoy Das, David J. Love, Christopher G. Brinton |
| 2023 | ICASSP | Coded Matrix Computations for D2D-Enabled Linearized Federated Learning. | Anindya Bijoy Das, Aditya Ramamoorthy, David J. Love, Christopher G. Brinton |
| 2023 | ISIT | Distributed Matrix Computations with Low-weight Encodings. | Anindya Bijoy Das, Aditya Ramamoorthy, David J. Love, Christopher G. Brinton |
| 2022 | ISIT | An Integrated Method to Deal with Partial Stragglers and Sparse Matrices in Distributed Computations. | Anindya Bijoy Das, Aditya Ramamoorthy |
| 2021 | ISIT | Coded sparse matrix computation schemes that leverage partial stragglers. | Anindya Bijoy Das, Aditya Ramamoorthy |
| 2021 | ISIT | Efficient and Robust Distributed Matrix Computations via Convolutional Coding. | Anindya Bijoy Das, Aditya Ramamoorthy, Namrata Vaswani |
| 2021 | ITW | A Unified Treatment of Partial Stragglers and Sparse Matrices in Coded Matrix Computation. | Anindya Bijoy Das, Aditya Ramamoorthy |
| 2019 | ISIT | Distributed Matrix-Vector Multiplication: A Convolutional Coding Approach. | Anindya Bijoy Das, Aditya Ramamoorthy |
| 2018 | ITW | C | Anindya Bijoy Das, Li Tang, Aditya Ramamoorthy |