An Adaptive Segmentation Technique to Detect Brain Tumors Using 2D Unet. - Mohammed Aledhari; Rehma Razzak (BIBM, 2020)

A Deep Recurrent Neural Network to Support Guidelines and Decision Making of Social Distancing. - Mohammed Aledhari; Rehma Razzak; Reza M. Parizi; Ali Dehghantanha (IEEE BigData, 2020)

Deep Neural Networks for Detecting Real Emotions Using Biofeedback and Voice. - Mohammed Aledhari; Rehma Razzak; Reza M. Parizi; Gautam Srivastava 001 (ICPR Workshops (4), 2020)

Federated Learning: A Survey on Enabling Technologies, Protocols, and Applications. - Mohammed Aledhari; Rehma Razzak; Reza M. Parizi; Fahad Saeed (IEEE Access, 2020)

Multimodal Machine Learning for Pedestrian Detection. - Mohammed Aledhari; Rehma Razzak; Reza M. Parizi; Gautam Srivastava 001 (VTC Spring, 2021)

Sensor Fusion for Drone Detection. - Mohammed Aledhari; Rehma Razzak; Reza M. Parizi; Gautam Srivastava 001 (VTC Spring, 2021)

Methods for Proteogenomics Data Analysis, Challenges, and Scalability Bottlenecks: A Survey. - Muhammad Usman Tariq; Muhammad Haseeb; Mohammed Aledhari; Rehma Razzak; Reza M. Parizi; Fahad Saeed (IEEE Access, 2021)

Machine learning for network application security: Empirical evaluation and optimization. - Mohammed Aledhari; Rehma Razzak; Reza M. Parizi (Comput. Electr. Eng., 2021)

Biomedical IoT: Enabling Technologies, Architectural Elements, Challenges, and Future Directions. - Mohammed Aledhari; Rehma Razzak; Basheer Qolomany; Ala I. Al-Fuqaha; Fahad Saeed (IEEE Access, 2022)

Safeguarding connected autonomous vehicle communication: Protocols, intra- and inter-vehicular attacks and defenses. - Mohammed Aledhari; Rehma Razzak; Mohamed Rahouti; Abbas Yazdinejad; Reza M. Parizi; Basheer Qolomany; Mohsen Guizani; Junaid Qadir 001; Ala I. Al-Fuqaha (Comput. Secur., 2025)