Publications

AI/ML

Wenhan Zhang, Meiyu Zhong, Ravi Tandon, and Marwan Krunz, "Filtered randomized smoothing: A new defense for robust modulation classification," to appear in the IEEE MILCOM Conference, 2024.
Sopan Sarkar, Mohammad Hossein Manshaei, Marwan Krunz, and Hamid Ravaee, "RecuGAN: A novel generative AI approach for synthesizing RF coverage maps," Proc. of the IEEE International Conference on Computer Communications and Networks (ICCCN) Conference, July 29-31, 2024, Kona (Big Island), Hawaii.
Zhiwu Guo, Chicheng Zhang, Ming Li, and Marwan Krunz, "Fair Probabilistic Multi-Armed Bandit with Applications to Network Optimization," IEEE Transactions on Machine Learning in Communications and Networking (TMLCN), vol. 2, pp. 994-1016, June 2024.
Arush S. Sharma and Marwan Krunz, "Enhanced RFI detection in imbalanced astronomical observations using weakly supervised GANs," Proc. of the IEEE ICC Conference - Workshop on Catalyzing Spectrum Sharing via Active-Passive Coexistence, Denver, June 2024.
Wenhan Zhang, Marwan Krunz, and Greg Ditzler, "Stealthy adversarial attacks on machine learning-based classifiers of wireless signals," IEEE Transactions on Machine Learning in Communications and Networking (TMLCN), vol. 2, pp. 261-279, Feb. 2024.
Marwan Krunz, Irmak Aykin, Sopan Sarkar, and Berk Akgun, "Online reinforcement learning for beam tracking and rate adaptation in millimeter-wave systems," IEEE Transactions on Mobile Computing (TMC), vol. 23, issue 2, pp. 1830-1845, Feb. 2024.
Yong Xiao, Xiaohan Zhang, Yingyu Li, Guangming Shi, Marwan Krunz, Diep Nguyen, and Dinh Thai Hoang, "Time-sensitive learning for heterogeneous federated edge intelligence," IEEE Transactions on Mobile Computing (TMC), vol. 23, issue 2, pp. 1382-1400, Feb. 2024.
Yong Xiao, Rong Xia, Yingyu Li, Guangming Shi, Diep N. Nguyen, Dinh Thai Hoang, Dusit Niyato, and Marwan Krunz, "Distributed traffic synthesis and classification in edge networks: Federated self-supervised learning approach," IEEE Transactions on Mobile Computing (TMC), vol. 23, issue 2, pp. 1815-1829, Feb. 2024.
Wenhan Zhang, Marwan Krunz, and Md Rabiul Hossein, "CyPA: A cyclic prefix assisted DNN for protocol classification in shared spectrum," Proc. of the International Conference on Computing, Networking and Communications (ICNC), - AI and Machine Learning for Communications and Networking Symposium, Feb. 2024.
Zhiwu Guo, Wenhan Zhang, Ming Li, Marwan Krunz, and Mohammad Hossein Manshaei, "DL-SIC: Deep learning aided successive interference cancellation in shared spectrum," Proc. of the International Conference on Computing, Networking and Communications (ICNC), - AI and Machine Learning for Communications and Networking Symposium, Feb. 2024.
Sopan Sarkar, Hossein Manshaei, and Marwan Krunz, "RADIANCE: Radio-frequency adversarial deep-learning inference for automated network coverage estimation," Proc. of the IEEE GLOBECOM Conference, Dec. 2023.
Arush Sharma, Marwan Krunz, George Reiland, and Dan Marrone, "Identification of RF interference in astronomical observations using weakly supervised machine learning classifiers," Proc. of the ACM International Conference on Modeling, Analysis, and Simulation of Wireless and Mobile Systems (MSWiM), Montreal, Canada, Oct. 2023.
Zhengguang Zhang and Marwan Krunz, "Detection and classification of smart jamming in Wi-Fi networks using machine learning," Proc. of the IEEE MILCOM Conference Conference (TRACK 5 - Machine Learning for Communications and Networking), Oct. 2023.
Zhiwu Guo, Chicheng Zhang, Ming Li, and Marwan Krunz, "Fair coexistence of heterogeneous networks: A novel probabilistic multi-armed bandit approach," Proc. of the International Symposium on Modeling and Optimization in Mobile, Ad hoc, and Wireless Networks (WiOpt) Conference, Singapore, Aug. 2023.
Mingjie Feng, Wenhan Zhang, and Marwan Krunz, "Dynamic spectrum access in non-stationary environments: A DRL-LSTM integrated approach," Proc. of the International Conference on Computing, Networking and Communications (ICNC): AI and Machine Learning for Communications and Networking, pp. 159-164, Feb. 2023.
M. Moghadam, B. Boroomand, M. Jalali, A. Zareian, A. Daeijavad, M. Hossein Manshaei, and M. Krunz, "Games of GANs: Game-theoretical models for generative adversarial networks," Artificial Intelligence Review, vol. 56, no. 9, pp. 9771--9807, Jan. 2023.
Amir-Hossein Yazdani-Abyaneh and Marwan Krunz, "Automatic machine learning for multi-receiver CNN technology classifiers," Proc. of the ACM Workshop on Wireless Security and Machine Learning (WiseML), San Antonio, Texas, May 2022.
Wenhan Zhang and Marwan Krunz, "Machine learning based protocol classification in unlicensed 5 GHz bands," Proc. of the IEEE ICC 2022 Conference - Workshop on Spectrum Sharing Technology for Next Generation Communications, Seoul, South Korea, May, 2022.
Marwan Krunz and Wenhan Zhang, "Application of adversarial machine learning in protocol and modulation misclassification," Proc. of the Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications Conference (part of SPIE Defense and Commercial Sensing Symposium), Orlando, FL, April 2022.
Steve Chan, Marwan Krunz, and Bob Griffin, "Adaptive time-frequency synthesis for waveform discernment in wireless communications," Proc. of the IEEE Information Technology, Electronics and Mobile Communication Conference (IEEE IEMCON), Oct. 2021.
Wenhan Zhang, Marwan Krunz, and Gregory Ditzler, "Intelligent jamming of deep neural network based signal classification for shared spectrum," Proc. of the IEEE MILCOM Conference -- Track 5, San Diego, Nov. 29 -- Dec. 2, 2021.
Sopan Sarkar, Marwan Krunz, Irmak Aykin, and David Manzi, "Machine learning for robust beam tracking in mobile millimeter-wave systems," Proc. of the IEEE GLOBECOM Conference, Madrid, Spain, Dec. 2021.
Amir Yazdani Abyaneh and Marwan Krunz, "CWmin estimation and collision identification in Wi-Fi systems," Proc. of the IEEE International Conference on Mobile Ad Hoc and Smart Systems (MASS), Oct. 2021 (invited paper).
Steve Chan, Marwan Krunz, Bob Griffin, "AI-based robust convex relaxations for supporting diverse QoS in next-generation wireless systems," Proc. of the IEEE ICDCS Workshop - Next-Generation Mobile Networking and Computing (NGMobile 2021), July 2021.
Mohammed Hirzallah and Marwan Krunz, "Sense-Bandits: AI-based adaptation of sensing thresholds for heterogeneous-technology coexistence over unlicensed bands," Proc. of theInternational Conference on Computer Communications and Networks (ICCCN 2021), July 2021 (invited paper).
Mingjie Feng and Marwan Krunz, "Program placement optimization for storage-constrained mobile edge computing systems: A multi-armed bandit approach," Proc. of the 22nd IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM '21), June 2021.
Wenhan Zhang, Mingjie Feng, Marwan Krunz, and Amir Abyaneh, "Signal detection and classification in shared spectrum: A deep learning approach," Proc. of the IEEE INFOCOM 2021 Conference, May 2021 (acceptance rate 19.9%).
Wenhan Zhang, Mingjie Feng, Marwan Krunz, and Haris Volos, "Latency prediction for delay-sensitive V2X applications in mobile cloud/edge computing systems," Proc. of the IEEE GLOBECOM Conference, Taipei, Taiwan, December 2020.
Rong Xia, Yong Xiao, Yingyu Li, Marwan Krunz, and Dusit Niyato, "A generative learning approach for spatio-temporal modeling in connected vehicular setworks," Proc. of the IEEE ICC Conference - Wireless Communications Symposium, Dublin, Ireland, June 2020.
Irmak Aykin, Berk Akgun, Mingjie Feng, and Marwan Krunz, "MAMBA: A multi-armed bandit framework for beam tracking in millimeter-wave systems," Proc. of the IEEE INFOCOM 2020, Online, July 2020, pp. 1469-1478 (acceptance rate 19.8%).
Alex Berian, Irmak Aykin, Marwan Krunz, and Tamal Bose, "Deep learning based identification of wireless protocols in the PHY layer," Proc. of the IEEE CNC Workshop, Big Island, Hawaii, Feb. 2020, pp. 287-293.
Mohammed Hirzallah and Marwan Krunz, "Intelligent tracking of network dynamics for cross-technology coexistence over unlicensed bands," Proc. of the IEEE ICNC 2020, Big Island, Hawaii, Feb. 2020, pp. 698-703.
Amirhossein Yazdani Abyaneh, Mohammed Hirzallah, and Marwan Krunz, "Intelligent-CW: AI-based framework for controlling contention window in WLANs," Proc. of the IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN'19), Newark, Nov 2019.
Peyman Siyari, Hanif Rahbari, and Marwan Krunz, "Lightweight machine learning for efficient frequency-offset-aware demodulation," IEEE Journal on Selected Areas in Communications (JSAC) - Special Issue on Machine Learning in Wireless Communications, vol. 37, no. 11, pp. 2544-2558, Nov. 2019.