IDC Interference-Aware Resource Allocation for LTE/WLAN Heterogeneous Networks. - Mohamed F. Marzban; Muhammad Ismail 001; Mohamed M. Abdallah 001; Mohamed M. Khairy; Khalid A. Qaraqe; Erchin Serpedin (IEEE Wirel. Commun. Lett., 2015)

Beamforming and power allocation for physical-layer security in hybrid RF/VLC wireless networks. - Mohamed F. Marzban; Mohamed Kashef; Mohamed Abdallah 001; Mohamed M. Khairy (IWCMC, 2017)

Securing OFDM-based wireless links using temporal artificial-noise injection. - Mohamed F. Marzban; Ahmed El Shafie 001; Rakan C. Chabaan; Naofal Al-Dhahir (CCNC, 2018)

A hybrid artificial-noise and secret-key scheme for securing OFDM transmissions in V2G networks. - Ahmed El Shafie 001; Mohamed F. Marzban; Rakan Chabaan; Naofal Al-Dhahir (CCNC, 2018)

Securing SC-FDE Uplink Transmissions Using Temporal Artificial Noise under Three Detection Strategies. - Mohamed F. Marzban; Ahmed El Shafie 001; Rakan Chabaan; Naofal Al-Dhahir (ICC Workshops, 2018)

An Artificial-Noise-Aided Secure Scheme for Hybrid Parallel PLC/Wireless OFDM Systems. - Ahmed El Shafie 001; Mohamed F. Marzban; Rakan Chabaan; Naofal Al-Dhahir (ICC, 2018)

Security-Enhanced SC-FDMA Transmissions Using Temporal Artificial-Noise and Secret Key Aided Schemes. - Mohamed F. Marzban; Ahmed El Shafie 001; Naofal Al-Dhahir; Ridha Hamila (IEEE Access, 2019)

Securing Full-Duplex Amplify-and-Forward Relay-Aided Transmissions Through Processing-Time Optimization. - Mohamed F. Marzban; Ahmed El Shafie 001; Ahmed Kamal Sultan-Salem; Naofal Al-Dhahir (CoRR, 2021)

Novel Secret-Key-Assisted Schemes for Secure MISOME-OFDM Systems. - Mohamed F. Marzban; Ahmed El Shafie 001; Naofal Al-Dhahir (CoRR, 2021)

The Multimodal Driver Monitoring Database: A Naturalistic Corpus to Study Driver Attention. - Sumit Jha; Mohamed F. Marzban; Tiancheng Hu; Mohamed Hany Mahmoud; Naofal Al-Dhahir; Carlos Busso (IEEE Trans. Intell. Transp. Syst., 2022)

Securing Full-Duplex Amplify-and-Forward Relay-Aided Communications Through Processing-Time Optimization. - Mohamed F. Marzban; Ahmed El Shafie 001; Ahmed K. Sultan; Naofal Al-Dhahir (IEEE Trans. Veh. Technol., 2022)

Deep Learning for Probabilistic Interference Predictions in mmWave Networks. - Mohamed F. Marzban; Wooseok Nam; Tao Luo 009; Arumugam Kannan; Taesang Yoo (ICC Workshops, 2023)

Statistical AI/ML Model Monitoring for 5G/6G: Interference Prediction Case Study. - Priyanka Kaswan; Mohamed F. Marzban; Wooseok Nam; Sony Akkarakaran; Tao Luo 009 (ICC Workshops, 2024)