Mohammad Ali Javaheri Javid

Mohammad Ali Javaheri Javid is an Associate Professor in Artificial Intelligence at the School of Arts, Humanities, and Social Sciences. His work bridges corporate requirements with cutting-edge AI research, focusing on integrating contextual knowledge into real-time decision-making frameworks across industrial automation, digitalisation, and human-centric systems.

His research spans Industrial Automation, Human-Centric AI, Cellular Automata, and Complexity Theory. Recent work explores aesthetic behavior in cellular automata, symmetry detection, and context-aware systems.

Key publications highlight trends in AI-driven industrial solutions, Computational Aesthetics, and Swarmic Symmetry Detection. Collaborations include projects like Optimal Sensor Placement - Type Topology.