Data Science in 3D Printing and Manufacturing
Hosted by Canisius University and sponsored by Buffalo Manufacturing Works - EWI, join us to learn about data science in 3D printing and manufacturing from Dr. Luke Mohr. According to Dr. Mohr, "The opportunity for data scientists to work on interesting manufacturing problems has grown as the industry becomes increasingly digital." Dr. Mohr will discuss approaches he and his team use to predict part quality and performance in real-time as the 3D parts are built and how they use machine learning to optimize manufacturing processes. Applications he and his team work on include 3D printing, electric vehicles, and jet engines. Dr. Mohr will explain how they leverage physics-based models and Bayesian techniques to address key data challenges in the industry, including the need for uncertainty quantification, model explainability, and cost restrictions to produce new data. Don't miss out on this opportunity to expand your knowledge and connect with like-minded individuals!
Food will be provided!
If you are currently a UB student, please register with Caitlin Hoekstra (cebarone@{ubdomain}) - do not register here on Eventbrite.
Agenda:
- 6:00 - 7:00pm presentation
- 7:00 - 7:30pm Q&A
- 7:30 - 8:00pm optional networking
Location: Canisius University - Science Hall 1053, Main Street, Buffalo, NY, USA
Parking
Visitor parking is available in front of Science Hall.
