Adaptive Task Allocation for Mobile Edge Learning. - Umair Mohammad; Sameh Sorour (WCNC Workshops, 2019)

Adaptive Task Allocation for Asynchronous Federated Mobile Edge Learning. - Umair Mohammad; Sameh Sorour (CoRR, 2019)

Task Allocation for Mobile Federated and Offloaded Learning with Energy and Delay Constraints. - Umair Mohammad; Sameh Sorour; Mohamed Hefeida (ICC Workshops, 2020)

Returning the Favor: What Wireless Networking Can Offer to AI and Edge Learning. - Sameh Sorour; Umair Mohammad; Amr Abutuleb; Hossam S. Hassanein (CoRR, 2020)

Task Allocation for Asynchronous Mobile Edge Learning with Delay and Energy Constraints. - Umair Mohammad; Sameh Sorour; Mohamed Hefeida (CoRR, 2020)

Search feasibility in distributed MS-proteomics big data. - Umair Mohammad; Fahad Saeed (BCB, 2021)

Simulation Testbed for Evaluating Distributed Querying and Searching of Mass Spectrometry Big Data in a Network-based Infrastructure. - Umair Mohammad; Fahad Saeed (BigDataService, 2021)

Optimal Task Allocation for Mobile Edge Learning with Global Training Time Constraints. - Umair Mohammad; Sameh Sorour; Mohamed Hefeida (CCNC, 2021)

SPERTL: Epileptic Seizure Prediction using EEG with ResNets and Transfer Learning. - Umair Mohammad; Fahad Saeed (BHI, 2022)

Energy Efficient AI/ML based Continuous Monitoring at the Edge: ECG and EEG Case Study. - Umair Mohammad; Fahad Saeed (BIBM, 2023)

Energy Aware Task Allocation for Semi-Asynchronous Mobile Edge Learning. - Umair Mohammad; Sameh Sorour; Mohamed Hefeida (IEEE Trans. Green Commun. Netw., 2023)

Dynamic Task Allocation for Mobile Edge Learning. - Umair Mohammad; Sameh Sorour; Mohamed Hefeida (IEEE Trans. Mob. Comput., 2023)

Lightweight Transformer exhibits comparable performance to LLMs for Seizure Prediction: A case for light-weight models for EEG data. - Paras Parani; Umair Mohammad; Fahad Saeed (IEEE Big Data, 2024)

Robustness of ML-Based Seizure Prediction Using Noisy EEG Data From Limited Channels. - Umair Mohammad; Fahad Saeed (DCOSS-IoT, 2024)