Dr. Iman Rahimi

Dr Iman Rahimi has made significant contributions to machine learning, optimisation, and high-performance computing through impactful research, industry collaborations, and international projects. His work has advanced computational methods for renewable energy planning, mining optimisation, encryption, and multi-physics simulation, delivering scalable solutions adopted by both academia and industry. With numerous high-impact publications and editorial roles in leading journals and books, he has shaped research agendas in AI, operations research, and data analytics. His teaching and supervision have equipped over 100 students with industry-relevant skills, fostering the next generation of data scientists and engineers. Iman’s collaborations span Europe, Asia, and Australia, influencing sustainability, energy transition, and digital innovation at a global scale.