| RF fingerprinting unmanned aerial vehicles with non-standard transmitter waveforms N Soltani, G Reus-Muns, B Salehi, J Dy, S Ioannidis, K Chowdhury IEEE transactions on vehicular technology 69 (12), 15518-15531, 2020 | 103 | 2020 |
| Beam alignment and tracking for autonomous vehicular communication using IEEE 802.11 ad-based radar G Reus-Muns, KV Mishra, CB Guerra, YC Eldar, KR Chowdhury IEEE INFOCOM 2019-IEEE Conference on Computer Communications Workshops …, 2019 | 84 | 2019 |
| Trust in 5G open RANs through machine learning: RF fingerprinting on the POWDER PAWR platform G Reus-Muns, D Jaisinghani, K Sankhe, KR Chowdhury GLOBECOM 2020-2020 IEEE Global Communications Conference, 1-6, 2020 | 83 | 2020 |
| Deep learning on multimodal sensor data at the wireless edge for vehicular network B Salehi, G Reus-Muns, D Roy, Z Wang, T Jian, J Dy, S Ioannidis, ... IEEE Transactions on Vehicular Technology 71 (7), 7639-7655, 2022 | 59 | 2022 |
| Classifying UAVs with proprietary waveforms via preamble feature extraction and federated learning G Reus-Muns, KR Chowdhury IEEE Transactions on Vehicular Technology 70 (7), 6279-6290, 2021 | 49 | 2021 |
| Beamforming galvanic coupling signals for IoMT implant-to-relay communication S Banou, M Swaminathan, G Reus-Muns, D Duong, F Kulsoom, ... IEEE Sensors Journal 19 (19), 8487-8501, 2018 | 27 | 2018 |
| Deep learning on visual and location data for V2I mmWave beamforming G Reus-Muns, B Salehi, D Roy, T Jian, Z Wang, J Dy, S Ioannidis, ... 2021 17th International Conference on Mobility, Sensing and Networking (MSN …, 2021 | 24 | 2021 |
| Going beyond RF: A survey on how AI-enabled multimodal beamforming will shape the NextG standard D Roy, B Salehi, S Banou, S Mohanti, G Reus-Muns, M Belgiovine, ... Computer Networks 228, 109729, 2023 | 19 | 2023 |
| AirNN: Over-the-air computation for neural networks via reconfigurable intelligent surfaces SG Sanchez, G Reus-Muns, C Bocanegra, Y Li, U Muncuk, Y Naderi, ... IEEE/ACM Transactions on Networking 31 (6), 2470-2482, 2022 | 17* | 2022 |
| SenseORAN: O-RAN-Based Radar Detection in the CBRS Band G Reus-Muns, PS Upadhyaya, U Demir, N Stephenson, N Soltani, ... IEEE Journal on Selected Areas in Communications 42 (2), 326-338, 2023 | 6 | 2023 |
| Machine learning-based mmWave path loss prediction for urban/suburban macro sites G Reus-Muns, J Du, D Chizhik, R Valenzuela, KR Chowdhury GLOBECOM 2022-2022 IEEE Global Communications Conference, 1429-1434, 2022 | 6 | 2022 |
| Airfc: Designing fully connected layers for neural networks with wireless signals G Reus-Muns, K Alemdar, SG Sanchez, D Roy, KR Chowdhury Proceedings of the Twenty-Fourth International Symposium on Theory …, 2023 | 5 | 2023 |
| Flying Among Stars: Jamming-Resilient Channel Selection for UAVs Through Aerial Constellations G Reus-Muns, M Diddi, C Singhal, H Singh, KR Chowdhury IEEE Transactions on Mobile Computing 22 (3), 1246-1262, 2021 | 2 | 2021 |
| Dynamic Channel Selection in UAVs through Constellations in the Sky G Reus-Muns, M Diddi, H Singh, KR Chowdhury 2019 IEEE Global Communications Conference (GLOBECOM), 1-6, 2019 | 2 | 2019 |
| Debashri Roy, Tong Jian, Zifeng Wang, Jennifer Dy, Stratis Ioannidis, and Kaushik Chowdhury. 2021. Deep Learning on Visual and Location Data for V2I mmWave Beam-forming G Reus-Muns, B Salehi 2021 17th International Conference on Mobility, Sensing and Networking (MSN …, 0 | 2 | |
| AI for Communications and Sensing in RF Environments GR Muns Northeastern University, 2023 | 1 | 2023 |
| Beam alignment for vehicle-to-infrastructure communications using IEEE 802.11 ad radar G Reus Muns Universitat Politècnica de Catalunya, 2017 | | 2017 |
Kaushik ChowdhuryUniversity of Texas at AustinZweryfikowany adres z utexas.edu
