Tentative Agenda of FACAM 2018 Workshop

	FACAM 2018
	Location: GER 206 at University of Southern California
Feb 8
1:30 PM	Prof. Q. Huang (USC) Welcome and Introduction
2:00 PM	Prof. Charyar SOUZANI (ENS Paris-Saclay) Prediction of geometrical and dimensional deviations of Additive Manufacturing parts
2:45 PM	Dr. Jun Zeng (HP), He Luan (HP, USC) Thoughts on applying machine learning to help to uncover causal effects in HP’s multi-jet fusion printing process physics
3:30 PM	Prof. Prahalad Rao (UNL) The Unusual Effectiveness of Spectral Graph Theory for Quality Assurance in Additive Manufacturing
4:30 PM	Jie Ren (FSU) Joint learning of process variation models for process co-monitoring and control using cloud data
5:30 PM	Welcome Dinner at USC Faculty Club
Feb 9
9:00 AM	Refreshment
9:15 AM	Prof. Marco Grasso (Politecnico di Milano) Statistical process monitoring of Powder Bed Fusion processes via in-situ video imaging
10:00 AM	Prof. Arman Sabbaghi (Purdue) Deviation Modeling Across Different Process Conditions and Shapes in Additive Manufacturing Systems
10:45 AM	Prof. Matthew Plumlee (Northwestern U) Calibration with coverage and consistency
11:30 AM	Yuanxiang Wang (USC) Statistical Inter-Layer Bonding Effects Modeling and Estimation with Convolution Formulation
12:15 PM	Box lunch at GER 206
1:30 PM	Linkan Bian (MSU) Predicting Deformation in Laser-Based Additive Manufacturing Processes
2:15 PM	Raquel de Souza Borges Ferreira (Purdue) Automated Geometric Shape Deviation Modeling for Additive Manufacturing Systems via Bayesian Neural Networks
3:00 PM	Prof. Matthew Plumlee (Northwestern U) 3D Printing Product Matching with Approximate Models
4:00 PM	Adjourn
4:30 PM	LA Live