Mohamed Atef

Fast prediction of FCC regenerator temperature fields using digital – twin based on convolutional autoencoder dimensionality reduction and machine learning

Ahmad Alsuwaidi, John Nikko V. Salvilla, Jackie Rong, Mohamed Atef, Runze Yang, Qianqian Liu, et al.

Forecast-Assisted Deep Reinforcement Learning for Energy Management of Hydrogen-Enabled Community Microgrids

Mohamed Atef, Sanath Alahakoon, Umme Mumtahina, Peter Wolfs, Tamer Khatib, Moslem Uddin

Hydrogen-enabled community microgrids can improve renewable energy utilization and local resilience, but their operation is complicated by uncertain residential demand, variable renewable generation, dynamic electricity prices, and the coupled dynamics of battery and hydrogen sto…Read more

Deep Reinforcement Learning-Based Energy Management for Hydrogen-Enabled Community Microgrids Under Uncertainty

Mohamed Atef, Sanath Alahakoon, Umme Mumtahina, Peter Wolfs, Tamer Khatib, Moslem Uddin

Hydrogen-enabled community microgrids can improve renewable energy utilization and local resilience, but their operation is complicated by intermittent generation, uncertain residential demand, dynamic electricity prices, and the coupled dynamics of battery and hydrogen storage.…Read more

SoccerNet 2026 Challenges Results

Anthony Cioppa, Silvio Giancola, Håkan Ardö, Mohamad Dalal, Jan Held, Jérémie Ochin, et al.

The SoccerNet 2026 Challenges constitute the sixth annual edition of the SoccerNet open benchmarking effort, dedicated to advancing computer vision research in sports video understanding. This year's challenges span five vision-based tasks: (1) Ball Action Anticipation, predictin…Read more