Mohammad

Hello, I’m Mohammad, a Ph.D. candidate in Computer Science at George Mason University, working in the RobotiXX lab.

Research Goal: I study how robots can learn to understand and act in the physical world with minimal human supervision. My work combines self-supervised learning from multiple sensor modalities, learned models of how the world responds to a robot’s actions, and real-time planning with those models on real hardware. I’m especially interested in representations and world models that aren’t tied to a single task, so the same ideas can carry across robots, environments, and embodiments.