Mohammad Majid al-Rifaie

Mohammad Majid al-Rifaie is a researcher at Goldsmiths, University of London, focusing on Swarm Intelligence and Computational Creativity. His work bridges Biologically Inspired Computing, Medical Imaging, and Artistic Systems through algorithms like Stochastic Diffusion Search and Particle Swarm Optimization.

• Research Interests: Swarm Intelligence, Computational Creativity, Biologically Inspired Algorithms, Medical Image Analysis, Data Clustering, Cellular Automata, Binary Tomography.
• Collaborations: Mark Bishop, Tim Blackwell, Ahmed Aber, Frederic Fol Leymarie, William Latham, Daniel Joyce.

Key Contributions include deploying swarm intelligence for medical imaging, exploring autopoiesis in art, and hybrid data-balancing techniques for machine learning. His 2019 paper on 2D-medialness maps exemplifies his innovative use of swarm optimization in animation.

Email contact: mmaji009@gold.ac.uk