In collaboration with the University of Hong Kong (HKU), the University of Notre Dame’s Center for Informatics and Computational Science (CICS) co-sponsored and organized a five-day scientific symposium on “Mathematical, Statistical and Big Data Challenges for Predictive Modeling of Complex Systems.” The event was hosted November 26-30, 2018 on HKU’s campus.
The symposium, led by Nicholas Zabaras from the College of Engineering at Notre Dame, brought together leading researchers across the world to address challenges in the interface of machine learning, information and data sciences, and scientific computing that will accelerate the development of data-driven models for decision making under uncertainties in scientific and engineering applications.
The event featured research presentations on the most recent advances, in addition to several tutorials. There was also a poster session for attendees on present their work to the group. Attendees included faculty from CKU and Notre Dame, benefactors, alumni, and exchange students.
More details on the conference, including major topics and themes, can be found here.