African researchers must embrace artificial intelligence (AI), computational modeling, and evidence-based research to transform the continent’s vast raw materials into high-value products, according to Professor Wole Soboyejo, President of the State University of New York Polytechnic Institute (SUNY Poly).
Delivering a public lecture at the Kwame Nkrumah University of Science and Technology (KNUST) College of Engineering in Kumasi, Prof. Soboyejo called for a paradigm shift in Africa’s approach to science, technology, and innovation.
“Africa has one-third of the world’s elements. There is no reason why Africa should be poor if only we figure out how to create value using more advanced approaches,” he stated.
The renowned materials scientist emphasized that Africa must move beyond traditional manufacturing techniques and integrate AI-driven research into fields such as energy, health, and material development.
One of the key ideas he proposed is leveraging scrap materials for advanced recycling. By applying machine learning and computational modeling, researchers can discover new material combinations, optimize alloy compositions, and create high-performance recycled materials for industrial applications.
“This puts us into a great domain to do material discovery and create value from waste in a strategic way,” he noted.
Prof. Soboyejo also highlighted breakthrough AI applications in various scientific fields:
- Health Sector: AI-powered deep learning techniques are being used for breast cancer detection, enabling early diagnosis and better treatment outcomes.
- Renewable Energy: Machine learning is being applied to optimize the design of next-generation perovskite solar cells and lithium-ion batteries, which are critical for Africa’s sustainable energy future.
- Advanced Metallurgy: AI-driven methods are helping to refine alloy compositions and control impurity levels in high-performance entropy alloys, often derived from recycled materials.
Prof. Soboyejo urged African students and researchers to think beyond conventional manufacturing and embrace advanced technologies such as laser-based processing, bio-processing, and smart manufacturing techniques.
He challenged KNUST and other African institutions to integrate AI into materials science, the Internet of Things (IoT), and industrial automation to position Africa as a global leader in next-generation technologies.
“We must bring together our collective abilities, leverage AI in materials research, and create an environment where the next generation of Africans can innovate and lead in the global economy,” he concluded.
With Africa’s abundant natural resources, embracing AI and computational research could be the key to unlocking sustainable economic growth, technological independence, and industrial transformation across the continent.
