| Machine learning for wireless communications in the Internet of Things: A comprehensive survey J Jagannath, N Polosky, A Jagannath, F Restuccia, T Melodia Ad Hoc Networks 93, 101913, 2019 | 249 | 2019 |
| Redefining wireless communication for 6G: Signal processing meets deep learning with deep unfolding A Jagannath, J Jagannath, T Melodia IEEE Transactions on Artificial Intelligence 2 (6), 528-536, 2021 | 91 | 2021 |
| A comprehensive survey on radio frequency (rf) fingerprinting: Traditional approaches, deep learning, and open challenges A Jagannath, J Jagannath, PSPV Kumar Computer Networks 219, 109455, 2022 | 75 | 2022 |
| Multi-task learning approach for automatic modulation and wireless signal classification A Jagannath, J Jagannath ICC 2021-IEEE International Conference on Communications, 1-7, 2021 | 28 | 2021 |
| Security and privacy vulnerabilities of 5G/6G and WiFi 6: Survey and research directions from a coexistence perspective K Ramezanpour, J Jagannath, A Jagannath Computer Networks 221, 109515, 2023 | 27 | 2023 |
| HELPER: Heterogeneous Efficient Low Power Radio for enabling ad hoc emergency public safety networks J Jagannath, S Furman, A Jagannath, L Ling, A Burger, A Drozd Ad Hoc Networks 89, 218-235, 2019 | 26 | 2019 |
| Digital twin virtualization with machine learning for IoT and beyond 5G networks: Research directions for security and optimal control J Jagannath, K Ramezanpour, A Jagannath Proceedings of the 2022 ACM workshop on wireless security and machine …, 2022 | 22 | 2022 |
| Deep learning and reinforcement learning for autonomous unmanned aerial systems: Roadmap for theory to deployment J Jagannath, A Jagannath, S Furman, T Gwin Deep Learning for Unmanned Systems, 25-82, 2021 | 21 | 2021 |
| Neural networks for signal intelligence: Theory and practice J Jagannath, N Polosky, A Jagannath, F Restuccia, T Melodia Machine Learning for Future Wireless Communications, 243-264, 2020 | 20 | 2020 |
| A hybrid MAC protocol with channel-dependent optimized scheduling for clustered underwater acoustic sensor networks J Jagannath, A Saji, H Kulhandjian, Y Sun, E Demirors, T Melodia Proceedings of the 8th International Conference on Underwater Networks …, 2013 | 20 | 2013 |
| Multi-task learning approach for modulation and wireless signal classification for 5G and beyond: Edge deployment via model compression A Jagannath, J Jagannath Physical Communication 54, 101793, 2022 | 15 | 2022 |
| Dataset for modulation classification and signal type classification for multi-task and single task learning A Jagannath, J Jagannath Computer Networks 199, 108441, 2021 | 12 | 2021 |
| Design of fieldable cross-layer optimized network using embedded software defined radios: Survey and novel architecture with field trials J Jagannath, A Jagannath, J Henney, T Gwin, Z Kane, N Biswas, A Drozd Computer Networks 209, 108917, 2022 | 10 | 2022 |
| Embedding-assisted attentional deep learning for real-world RF fingerprinting of Bluetooth A Jagannath, J Jagannath IEEE Transactions on Cognitive Communications and Networking, 2023 | 9 | 2023 |
| Rf fingerprinting needs attention: Multi-task approach for real-world wifi and bluetooth A Jagannath, Z Kane, J Jagannath GLOBECOM 2022-2022 IEEE Global Communications Conference, 4607-4612, 2022 | 8 | 2022 |
| Artificial intelligence-based cognitive cross-layer decision engine for next-generation space mission A Jagannath, J Jagannath, A Drozd 2019 IEEE Cognitive Communications for Aerospace Applications Workshop …, 2019 | 7 | 2019 |
| A comprehensive survey on radio frequency (RF) fingerprinting: Traditional approaches A Jagannath, J Jagannath, P Kumar Deep Learning, and Open Challenges. arXiv, 2022 | 6 | 2022 |
| A comprehensive survey on radio frequency (rf) fingerprinting: Traditional approaches, deep learning, and open challenges. arXiv 2022 A Jagannath, J Jagannath, P Kumar arXiv preprint arXiv:2201.00680, 2022 | 6 | 2022 |
| Marconi-rosenblatt framework for intelligent networks (mr-inet gym): For rapid design and implementation of distributed multi-agent reinforcement learning solutions for … C Farquhar, S Kafle, K Hamedani, A Jagannath, J Jagannath Computer Networks 222, 109489, 2023 | 5 | 2023 |
| Mr-inet gym: Framework for edge deployment of deep reinforcement learning on embedded software defined radio J Jagannath, K Hamedani, C Farquhar, K Ramezanpour, A Jagannath Proceedings of the 2022 ACM Workshop on Wireless Security and Machine …, 2022 | 5 | 2022 |
Jithin JagannathChief Scientist & Founding Director of ANDRO MR Lab | Adjunct Assistant Professor, UBVerified email at androcs.com
