| 2025 | ACSSC | Graph Neural Network Guided Search for Power Grid Topology Correction. | Pranav Kulkarni, Alan C. O'Connor, Frank M. Yaul |
| 2025 | ACSSC | On the Efficiency of a Toeplitz Covariance Matrix Construction Approach for DOA Estimation. | Pranav Kulkarni, P. P. Vaidyanathan |
| 2025 | FedCSIS | Integrating Real-ESRGAN with CNN Models for UAV Image Based Plant Disease Detection. | Sravya Malladi, Pranav Kulkarni |
| 2025 | ICASSP | Generalized Constructions of Weight-Constrained Sparse Arrays. | Pranav Kulkarni, P. P. Vaidyanathan |
| 2025 | ICASSP | Interpolation for Weight-Constrained Nested Arrays Having Non-Central ULA Segments in the Coarray. | Pranav Kulkarni, P. P. Vaidyanathan |
| 2025 | ICCV | Generative Counterfactual Augmentation for Bias Mitigation. | Jason Uwaeze, Pranav Kulkarni, Vladimir Braverman, Michael A. Jacobs, Vishwa S. Parekh |
| 2024 | ACSSC | Efficient Use of Non-Central ULA Segments in the Coarrays of Weight-Constrained Sparse Arrays. | Pranav Kulkarni, P. P. Vaidyanathan |
| 2024 | CVPR | Privacy-Preserving Collaboration for Multi-Organ Segmentation via Federated Learning from Sites with Partial Labels. | Adway U. Kanhere, Pranav Kulkarni, Paul H. Yi, Vishwa S. Parekh |
| 2024 | ICASSP | Sparse, Weight-Constrained Arrays With O(N) Aperture for Reduced Mutual Coupling. | Pranav Kulkarni, P. P. Vaidyanathan |
| 2024 | QCE | Expanding the Horizon: Enabling Hybrid Quantum Transfer Learning for Long-Tailed Chest X-Ray Classification. | Skylar Chan, Pranav Kulkarni, Paul H. Yi, Vishwa S. Parekh |
| 2023 | ACSSC | On the Efficiency of Coarray-Based Direction of Arrival Estimation. | Pranav Kulkarni, P. P. Vaidyanathan |
| 2023 | CHI | Exploring the digital support needs of caregivers of people with serious mental illness. | Farheen Siddiqui, Delvin Varghese, Pushpendra Singh, Sunita Bapuji Bayyavarapu, Stephen Lindsay, Dharshani Tharanga Chandrasekara, Pranav Kulkarni, Ling Wu, Taghreed Alshehri, Patrick Olivier |
| 2023 | ICASSP | Interpolation Filter Model For Ramanujan Subspace Signals. | Pranav Kulkarni, P. P. Vaidyanathan |
| 2023 | ICASSP | Difference Coarrays of Rational Arrays. | Pranav Kulkarni, P. P. Vaidyanathan |
| 2022 | ACSSC | Rational Arrays for DOA Estimation: New Insights and Performance Evaluation. | Pranav Kulkarni, P. P. Vaidyanathan |
| 2022 | CHI | Exploring Perceptions of Cross-Sectoral Data Sharing with People with Parkinson's. | Roisin McNaney, Catherine Morgan, Pranav Kulkarni, Julio Vega, Farnoosh Heidarivincheh, Ryan McConville, Alan L. Whone, Mickey Kim, Reuben Kirkham, Ian Craddock |
| 2022 | ICASSP | Rational Arrays for DOA Estimation. | Pranav Kulkarni, P. P. Vaidyanathan |
| 2021 | ACSSC | Feature Engineering for DOA Estimation using a Convolutional Neural Network, for Sparse Arrays. | Pranav Kulkarni, P. P. Vaidyanathan |
| 2021 | ICASSP | Periodic Signal Denoising: An Analysis-Synthesis Framework Based on Ramanujan Filter Banks and Dictionaries. | Pranav Kulkarni, P. P. Vaidyanathan |
| 2020 | ACSSC | K-SVD based Periodicity Dictionary Learning. | Pranav Kulkarni, P. P. Vaidyanathan |
| 2019 | ICIP | An Interpretable Generative Model for Handwritten Digits Synthesis. | Yao Zhu, Saksham Suri, Pranav Kulkarni, Yueru Chen, Jiali Duan, C.-C. Jay Kuo |