Interdisciplinary computational scientist working at the intersection of artificial intelligence, collective and adaptive behaviour, multi-agent systems, machine learning, and nature-inspired optimization. Research includes personality-driven artificial agents, self-organizing crowd and evacuation models, particle swarm optimization for sustainable energy systems, hybrid deep-learning architectures, semantic interoperability, and AI-supported environmental assessment. This portfolio aligns particularly with bio-inspired computational intelligence, cooperative behaviour, adaptive systems, and engineering applications of learning and optimization.