Data Science and Engineering for Materials and Manufacturing Pillar

The Data Science and Engineering (Data2) for Materials and Manufacturing primarily concerns with the application of methods and tools in computer science and statistics to perform prediction, make decision, and gain insight from data in materials development and manufacturing processes.


Dr. Bhushan Gopaluni
Department of Chemical and Biological Engineering
Associate Dean, Education and Professional Development
Vancouver Campus

Dr. John Braun
Professor and Head
Department of Computer Science
Okanagan Campus
+1 (250) 807-8032

Cluster News

MMRI members offer a tutorial on machine learning at SAMPE 2023

Apr 20, 2023

When Data-efficient Machine Learning Comes to the Rescue: An AI-based Optimization Framework for Advanced Manufacturing.

UBCO graduate student won the best presentation award at IEEE-IES conference

Jun 22, 2021

PhD student Milad Ramezankhani won the award for the NFRF-funded project on smart manufacturing.

Okanagan Smart Composite Manufacturers, Finalist in OpenCV AI Competition

Mar 18, 2021

The proposed project aims to develop AI-based image processing unit for real-time detection of wrinkles.