Kandice Barros Ribeiro
D.Sc.
ksbari@utu.fi +358 29 450 3406 +358 50 308 1780 Office: B6016 ORCID identifier: https://orcid.org/0000-0001-7005-8783 |
Advanced manufacturing processes, metal additive manufacturing, process monitoring, artificial intelligence.
Dr. Ribeiro specializes in process monitoring and data analysis, with expertise in metal additive manufacturing, laser welding and hybrid manufacturing (additive + subtractive). Her strong background and passion for manufacturing drive her pursuit of more sustainable solutions in advanced processes such as laser Directed Energy Deposition (DED-LB). Dr. Ribeiro is continually focused on pushing the frontiers of science in the field of Smart Manufacturing, with an emphasis on sustainable engineering practices.
Research interests are within the areas of:
- Laser-based manufacturing processes
- Metal additive manufacturing
- Process monitoring
- Signal processing
- Artificial intelligence
Current teaching responsibilities regards the courses:
- KTEK0054 Robotics
- KTEK0053 Mechatronics
- KTEK0011 Digital Factory
- KTEK0065 Hands-on Smart Systems
- A hybrid machine learning model for in-process estimation of printing distance in laser Directed Energy Deposition (2023)
- International Journal of Advanced Manufacturing Technology
(A1 Refereed original research article in a scientific journal) - Real-time prediction of deposited bead width in L-DED using semi-supervised transfer learning (2023)
- International Journal of Advanced Manufacturing Technology
(A1 Refereed original research article in a scientific journal) - In-process chatter detection in micro-milling using acoustic emission via machine learning classifiers (2022)
- International Journal of Advanced Manufacturing TechnologyInternational Journal of Advanced Manufacturing Technology
(A1 Refereed original research article in a scientific journal) - Micro-machining of additively manufactured metals: a review (2022)
(A2 Refereed review article in a scientific journal )
