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Machine Learning in Adversarial RF Environments., , and . IEEE Communications Magazine, 57 (5): 82-87 (2019)Detection of Rogue RF Transmitters using Generative Adversarial Nets., , , and . WCNC, page 1-7. IEEE, (2019)Going beyond RF: A survey on how AI-enabled multimodal beamforming will shape the NextG standard., , , , , , , , and . Comput. Networks, (June 2023)L-NORM: Learning and Network Orchestration at the Edge for Robot Connectivity and Mobility in Factory Floor Environments., , , , and . IEEE Trans. Mob. Comput., 23 (4): 2898-2914 (April 2024)Digital Twins for Maintaining QoS in Programmable Vehicular Networks., , , , , and . IEEE Netw., 37 (4): 208-214 (July 2023)RFAL: Adversarial Learning for RF Transmitter Identification and Classification., , , , and . IEEE Trans. Cogn. Commun. Netw., 6 (2): 783-801 (2020)Video quality assessment for inter-vehicular streaming with IEEE 802.11p, LTE, and LTE Direct networks over fading channels., , and . Comput. Commun., (2018)RF Transmitter Fingerprinting Exploiting Spatio-Temporal Properties in Raw Signal Data., , , and . ICMLA, page 89-96. IEEE, (2019)Multi-Modality Sensing and Data Fusion for Multi-Vehicle Detection., , , , , and . IEEE Trans. Multim., (2023)FuzzRoute: A Thermally Efficient Congestion-Free Global Routing Method for Three-Dimensional Integrated Circuits., , and . ACM Trans. Design Autom. Electr. Syst., 21 (1): 1:1-1:38 (2015)