Toward Real-World BCI: CCSPNet, A Compact Subject-Independent Motor Imagery Framework. - Mahbod Nouri; Faraz Moradi; Hafez Ghaemi; Ali Motie Nasrabadi (CoRR, 2020)

BioLCNet: Reward-Modulated Locally Connected Spiking Neural Networks. - Hafez Ghaemi; Erfan Mirzaei; Mahbod Nouri; Saeed Reza Kheradpisheh (LOD (2), 2022)

Towards real-world BCI: CCSPNet, a compact subject-independent motor imagery framework. - Mahbod Nouri; Faraz Moradi; Hafez Ghaemi; Ali Motie Nasrabadi (Digit. Signal Process., 2023)

Risk-Sensitive Multi-Agent Reinforcement Learning in Network Aggregative Markov Games. - Hafez Ghaemi; Hamed Kebriaei; Alireza Ramezani Moghaddam; Majid Nili Ahmadabadi (AAMAS, 2024)

Risk-Sensitive Multi-Agent Reinforcement Learning in Network Aggregative Markov Games. - Hafez Ghaemi; Hamed Kebriaei; Alireza Ramezani Moghaddam; Majid Nili Ahamadabadi (CoRR, 2024)

Risk Sensitivity in Markov Games and Multi-Agent Reinforcement Learning: A Systematic Review. - Hafez Ghaemi; Shirin Jamshidi; Mohammad Mashreghi; Majid Nili Ahmadabadi; Hamed Kebriaei (CoRR, 2024)

Deep learning in motor imagery EEG signal decoding: A Systematic Review. - Aurora Saibene; Hafez Ghaemi; Eda Dagdevir (Neurocomputing, 2024)

seq-JEPA: Autoregressive Predictive Learning of Invariant-Equivariant World Models. - Hafez Ghaemi; Eilif Muller; Shahab Bakhtiari (CoRR, 2025)