This inventor holds 1 USPTO granted patent and 1 EPO patent. Top assignee: Maillefer Extrusion Oy. Active years: 2025.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2025
Title: Mikko Lahti: Innovator in Machine Learning for Fiber Optic Cable Quality Prediction
Introduction
Mikko Lahti is a notable inventor based in Vantaa, Finland. He has made significant contributions to the field of manufacturing, particularly in the quality prediction of fiber optic cables using machine learning techniques. His innovative approach has the potential to enhance the efficiency and reliability of fiber optic cable production.
Latest Patents
Mikko Lahti holds a patent for a method titled "Machine-learning-based quality prediction of manufactured fiber optic cable." This invention involves a trained machine-learning algorithm that calculates expected values of quality metrics during the manufacturing process of loose tube fiber optic cables. The system monitors production parameters in real-time and provides valuable insights to users, ensuring high-quality output.
Career Highlights
Mikko Lahti is currently employed at Maillefer Extrusion Oy, a company known for its expertise in extrusion technology. His work focuses on integrating advanced machine learning techniques into manufacturing processes, which has positioned him as a key player in the industry.
Collaborations
Mikko collaborates with talented professionals such as Samppa Orhanen and Janne Harjuhahto. Their combined expertise contributes to the innovative projects at Maillefer Extrusion Oy, fostering a collaborative environment that drives technological advancements.
Conclusion
Mikko Lahti's contributions to the field of fiber optic cable manufacturing through machine learning are noteworthy. His patent reflects a commitment to improving quality and efficiency in production processes. As he continues to innovate, his work will likely have a lasting impact on the industry.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile