| RFAL: Adversarial Learning for RF Transmitter Identification and Classification D Roy, T Mukherjee, M Chatterjee, E Blasch, E Pasiliao IEEE Transactions on Cognitive Communications and Networking, 19, 2019 | 185 | 2019 |
| Deep learning at the edge for channel estimation in beyond-5G massive MIMO M Belgiovine, K Sankhe, C Bocanegra, D Roy, KR Chowdhury IEEE Wireless Communications 28 (2), 19-25, 2021 | 61 | 2021 |
| 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, ... ArXiv, 2022 | 57 | 2022 |
| Flash: Federated learning for automated selection of high-band mmwave sectors B Salehi, J Gu, D Roy, K Chowdhury IEEE INFOCOM 2022-IEEE Conference on Computer Communications, 1719-1728, 2022 | 56 | 2022 |
| Detection of Rogue RF Transmitters using Generative Adversarial Nets D Roy, T Mukherjee, M Chatterjee, E Pasiliao Wireless Communications and Networking Conference (WCNC), 2019 | 53 | 2019 |
| Multi-modality Sensing and Data Fusion for Multi-vehicle Detection D Roy, Y Li, T Jian, P Tian, K Chowdhury, S Ioannidis IEEE Transactions on Multimedia, 2022 | 51 | 2022 |
| RF transmitter fingerprinting exploiting spatio-temporal properties in raw signal data D Roy, T Mukherjee, M Chatterjee, E Pasiliao 2019 18th IEEE International Conference On Machine Learning And Applications …, 2019 | 36 | 2019 |
| Primary user activity prediction in DSA networks using recurrent structures D Roy, T Mukherjee, M Chatterjee, E Pasiliao 2019 IEEE International Symposium on Dynamic Spectrum Access Networks …, 2019 | 31 | 2019 |
| Exploiting Spatio-Temporal Properties of I/Q Signal Data using 3D Convolution for RF Transmitter Identification M Ramasubramanian, C Banerjee, D Roy, E Pasiliao, T Mukherjee IEEE Journal of Radio Frequency Identification, 2021 | 27 | 2021 |
| Machine Learning in Adversarial RF Environments D Roy, T Mukherjee, M Chatterjee IEEE Communication Magazine 57 (5), 82 - 87, 2019 | 27 | 2019 |
| 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, ... IEEE International Conference on Mobility, Sensing and Networking, 2021 | 23 | 2021 |
| 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 | 21 | 2022 |
| Multimodality in mmWave MIMO beam selection using deep learning: Datasets and challenges J Gu, B Salehi, D Roy, KR Chowdhury IEEE Communications Magazine 60 (11), 36-41, 2022 | 19 | 2022 |
| Going Beyond RF: How AI-enabled Multimodal Beamforming will Shape the NextG Standard D Roy, B Salehi, S Banou, S Mohanti, G Reus-Muns, M Belgiovine, ... ArXiv, 2022 | 18* | 2022 |
| Video quality assessment for inter-vehicular streaming with IEEE 802.11p, LTE, and LTE Direct networks over fading channels D Roy, M Chatterjee, E Pasiliao Computer Communications 118, 69-80, 2017 | 17 | 2017 |
| ESOP-based synthesis of reversible circuit using improved cube list C Bandyopadhyay, D Roy, DK Kole, K Datta, H Rahaman 2013 International Symposium on Electronic System Design, 26-30, 2013 | 14 | 2013 |
| Multiverse at the edge: Interacting real world and digital twins for wireless beamforming B Salehi, U Demir, D Roy, S Pradhan, J Dy, S Ioannidis, K Chowdhury IEEE/ACM Transactions on Networking, 2024 | 13 | 2024 |
| Defense against PUE attacks in DSA networks using GAN based learning D Roy, T Mukherjee, M Chatterjee, E Pasiliao 2019 IEEE Global Communications Conference (GLOBECOM), 1-6, 2019 | 12 | 2019 |
| Digital twins for maintaining QoS in programmable vehicular networks U Demir, S Pradhan, R Kumahia, D Roy, K Chowdhury IEEE Network 37 (4), 208-214, 2023 | 10 | 2023 |
| Icarus: Learning on iq and cycle frequencies for detecting anomalous rf underlay signals D Roy, V Chaudhury, C Tassie, C Spooner, K Chowdhury IEEE INFOCOM 2023-IEEE Conference on Computer Communications, 1-10, 2023 | 10 | 2023 |
Kaushik ChowdhuryUniversity of Texas at Austin確認したメール アドレス: utexas.edu