Email
info@afrismat.africa
Work Hours
Monday to Friday: 8AM - 4PM
WORKSHOP POSTER
AfriSMAT is excited to announce the 2025 African – Inclusive Digital Industries School program, hosted by Carnegie Mellon University – Africa, in Kigali, Rwanda. This transformative program, scheduled for 11th – 17th of December 2025, offers an intensive learning experience designed to deepen knowledge and skills in key areas such as artificial intelligence and machine learning applied to material engineering, digital manufacturing, and optimization techniques as indicated in the attached poster. The program will involve final year undergraduate students in Material Science Engineering, Metallurgical Engineering, Mining Engineering, Mechanical/Industrial/Aeronautical Engineering, Electrical Engineering, and Computer Science (honours students). All selected students will benefit from covered expenses, including travel (coming from outside Rwanda), accommodation (coming from outside Rwanda), and food, making this an exceptional opportunity for our students to meet other students for other African countries and engage with advanced digital technologies without financial constraints.
The program’s curriculum has been designed to address the pressing needs of African industries, focusing on innovative manufacturing processes and the utilization of cutting-edge technologies like 3D printing, robotics, and the Internet of Things (IoT). Students will be exposed to the technologies in hands-on sessions and workshops that not only enhance their practical and theoretical understanding but also prepare them for leadership in the Fourth Industrial Age. Participants will gain first-hand experience in integrating AI and Data-driven Decision Making with material science to drive local and global advancements, making this a pivotal step for those looking to pursue advanced degrees in these dynamic fields.
One of the primary objectives of the summer school is to introduce students to potential research areas for Masters (MSc) studies in 2026 in any of the following areas:
- Development and implementation of advanced Robotics.
- Artificial Intelligence and Machine Learning (AI/ML) applied to material engineering and digital manufacturing,
- Process/Production optimization through Data-driven Decision Making, using tools like MATLAB and Artificial Neural Networks,
- Innovative manufacturing processes and advanced technologies, including 3D printing, laser surface modification (surface engineering), and the Internet of Things (IoT),
