| 2024 | ACSSC | Distributed and Rate-Adaptive Feature Compression. | Aditya Deshmukh, Venugopal V. Veeravalli, Gunjan Verma |
| 2023 | ISIT | Robust High-Dimensional Linear Discriminant Analysis under Training Data Contamination. | Yuyang Shi, Aditya Deshmukh, Yajun Mei, Venugopal V. Veeravalli |
| 2022 | IJCNN | MS-KARD: A Benchmark for Multimodal Karate Action Recognition. | Santosh Kumar Yadav, Aditya Deshmukh, Raghurama Varma Gonela, Shreyas Bhat Kera, Kamlesh Tiwari, Hari Mohan Pandey, Ali Akbar Shaikh |
| 2022 | ISIT | Robust Mean Estimation in High Dimensions: An Outlier Fraction Agnostic and Efficient Algorithm. | Aditya Deshmukh, Jing Liu, Venugopal V. Veeravalli |
| 2021 | ACSSC | High-Dimensional Robust Mean Estimation via Outlier-Sparsity Minimization. | Aditya Deshmukh, Jing Liu, Venugopal V. Veeravalli |
| 2020 | ICASSP | Information Flow Optimization in Inference Networks. | Aditya Deshmukh, Jing Liu, Venugopal V. Veeravalli, Gunjan Verma |
| 2018 | ACSSC | Controlled Sensing for Composite Multihypothesis Testing with Application to Anomaly Detection. | Aditya Deshmukh, Srikrishna Bhashyam, Venugopal V. Veeravalli |
| 2016 | WiOpt | Online energy efficient packet scheduling with a common deadline. | Aditya Deshmukh, Rahul Vaze |