| Exposing the fingerprint: Dissecting the impact of the wireless channel on radio fingerprinting A Al-Shawabka, F Restuccia, S D’Oro, T Jian, BC Rendon, N Soltani, J Dy, ... IEEE INFOCOM 2020-IEEE Conference on Computer Communications, 646-655, 2020 | 215 | 2020 |
| Deep learning for RF fingerprinting: A massive experimental study T Jian, BC Rendon, E Ojuba, N Soltani, Z Wang, K Sankhe, A Gritsenko, ... IEEE Internet of Things Magazine 3 (1), 50-57, 2020 | 189 | 2020 |
| More is better: Data augmentation for channel-resilient rf fingerprinting N Soltani, K Sankhe, J Dy, S Ioannidis, K Chowdhury IEEE Communications Magazine 58 (10), 66-72, 2020 | 81 | 2020 |
| 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 | 66 | 2020 |
| Radio frequency fingerprinting on the edge T Jian, Y Gong, Z Zhan, R Shi, N Soltani, Z Wang, J Dy, K Chowdhury, ... IEEE Transactions on Mobile Computing 21 (11), 4078-4093, 2021 | 43 | 2021 |
| AirID: Injecting a custom RF fingerprint for enhanced UAV identification using deep learning S Mohanti, N Soltani, K Sankhe, D Jaisinghani, M Di Felice, K Chowdhury GLOBECOM 2020-2020 IEEE Global Communications Conference, 1-6, 2020 | 31 | 2020 |
| Spectrum awareness at the edge: Modulation classification using smartphones N Soltani, K Sankhe, S Ioannidis, D Jaisinghani, K Chowdhury 2019 IEEE International Symposium on Dynamic Spectrum Access Networks …, 2019 | 28 | 2019 |
| Neural network-based OFDM receiver for resource constrained IoT devices N Soltani, H Cheng, M Belgiovine, Y Li, H Li, B Azari, S D'Oro, T Imbiriba, ... IEEE Internet of Things Magazine 5 (3), 158-164, 2022 | 13 | 2022 |
| A novel 1d-convolution accelerator for low-power real-time cnn processing on the edge J Sanchez, N Soltani, R Chamarthi, A Sawant, H Tabkhi 2018 IEEE High Performance extreme Computing Conference (HPEC), 1-8, 2018 | 11 | 2018 |
| Automated deep learning-based wide-band receiver B Azari, H Cheng, N Soltani, H Li, Y Li, M Belgiovine, T Imbiriba, S D’Oro, ... Computer Networks 218, 109367, 2022 | 10 | 2022 |
| Finding waldo in the cbrs band: Signal detection and localization in the 3.5 ghz spectrum N Soltani, V Chaudhary, D Roy, K Chowdhury GLOBECOM 2022-2022 IEEE Global Communications Conference, 4570-4575, 2022 | 10 | 2022 |
| Crosstalk free coding systems to protect NoC channels against crosstalk faults K Soleimani, A Patooghy, N Soltani, L Bu, MA Kinsy 2017 IEEE International Conference on Computer Design (ICCD), 385-390, 2017 | 6 | 2017 |
| A reconfigurable streaming processor for real-time low-power execution of convolutional neural networks at the edge J Sanchez, N Soltani, P Kulkarni, RV Chamarthi, H Tabkhi Edge Computing–EDGE 2018: Second International Conference, Held as Part of …, 2018 | 5 | 2018 |
| Communication-aware DNN pruning T Jian, D Roy, B Salehi, N Soltani, K Chowdhury, S Ioannidis IEEE INFOCOM 2023-IEEE Conference on Computer Communications, 1-10, 2023 | 4 | 2023 |
| 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, 2023 | 3 | 2023 |
| It’sa Bird, It’sa Plane, It’s" That" UAV: RF Fingerprinting During Flight J Gu, N Soltani, MY Naderi, KR Chowdhury 2021 55th Asilomar Conference on Signals, Systems, and Computers, 300-304, 2021 | 2 | 2021 |
| PRONTO: Preamble Overhead Reduction with Neural Networks for Coarse Synchronization N Soltani, D Roy, K Chowdhury IEEE Transactions on Wireless Communications, 2023 | 1 | 2023 |
| Learning from the Best: Active Learning for Wireless Communications N Soltani, J Zhang, B Salehi, D Roy, R Nowak, K Chowdhury arXiv preprint arXiv:2402.04896, 2024 | | 2024 |
| Detection of Co-Existing RF Signals in CBRS Using ML: Dataset and API-Based Collection Testbed C Tassie, A Gaber, V Chaudhary, N Soltani, M Belgiovine, M Loehning, ... IEEE Communications Magazine 61 (9), 82-88, 2023 | | 2023 |
| NN-key: A Neural Network-Based Secret Key for Demapping OFDM Symbols N Soltani, Y Li, D Erdogmus, Y Wang, K Chowdhury 2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC …, 2022 | | 2022 |
