Artificial Intelligence and Machine Learning in Tribology Update

Perfecting Motion®

For our October episode we are following up with instructors from the Artificial Intelligence and Machine Learning education course from our 2024 STLE Annual Meeting in Minneapolis. Returning from that course is Max Marian of Leibniz Universität Hannover, Nick Garabedian of Karlsruhe Institute of Technology, and Omar Zouina of Karlsruhe Institute of Technology moderates as we discuss updates to this rapidly evolving field and it's advancements related to Tribology.
If you want to hear more about how Artificial Intelligence and Machine Learning play a role in technology, consider signing up for our education course at our Annual Meeting in Atlanta on May 18, 2025. AI-ML is just one of the many courses we will be offering this year in addition to over 100 technical sessions, panel discussions, and numerous networking opportunities. Registration opens in early November, but for more information, click here: https://www.stle.org/AnnualMeeting/call .
Meet our speakers:
Omar Zouina, 2nd year PhD candidate at the Karlsruhe Institute of Technology, Institute of Applied Materials (IAM) and Microtribology Center, my research focuses on solid lubricants particularly graphite with an emphasis on the lubrication mechanisms under high mechanical loads for rolling bearings applications.
Max Marian is a professor specializing in tribology and machine design. His research focuses on improving energy efficiency and sustainability through surface modification techniques. He has published extensively, received numerous awards, and is involved in several professional organizations.
Dr. Nick Garabedian works at the intersection of linked data engineering, experimental tribology and machine learning. He is currently the CEO of datin – a newly-founded software startup for research data management and sharing.