Uncertainty quantification and decision making are increasingly demanded with the development of future technology in engineering and transportation systems. Among the uncertainty quantification problems, I am particularly interested in statistical modelling of engineering system responses with considering the high dimensionality and complicated correlation structure, as well as quantifying the uncertainty from a variety of sources simultaneously, such as the inexactness of large-scale computer experiments, process variations, and measurement noises. I am also interested in data-driven decision making that is robust to the uncertainty. Specifically, I deliver methodologies for anomaly detection and system design optimization, which can be applied to manufacturing process monitoring, distracted driving detection, out-of-distribution object identification, vehicle safety design optimization, etc.
Expertise: computer vision, vehicle safety, assistant driving systems, smart manufacturing, statistical modeling of engineering system responses, data-driven decision making, development of methodologies for anomaly detection and system design optimization, Gaussian process modeling, generative models, anomaly detection.
Let’s Connect
Phone
(734) 764-6504
Location
UMTRI
2901 Baxter Rd. Rm 431
Ann Arbor, MI 48109
Primary Website
Additional Information
Education
Ph.D University of Michigan, Department of Industrial and Operations Engineering (IOE)
Service
Organizer and Chair, Deep neural networks for quality assurance in manufacturing
QSR sponsored session, INFORMS Annual Meeting October 2023
Organizer, Data-driven Decision Making in Transportation
JSM topic-contributed session, Joint Statistical Meeting August 2023
Organizer and Chair, Machine learning for quality assurance and decision-making
QSR sponsored session, INFORMS Annual Meeting October 2022
Organizer and Chair, Learning from High-Dimensional Data: Improvement in Efficiency and Interpretability
DAIS sponsored session, IISE Annual Meeting May 2022
Organizer and Chair, Deep Learning for Quality Assurance in Manufacturing Systems
QSR sponsored session, INFORMS Annual Meeting November 2021
Organizer and Chair, Computer Experiments and Decision Making
QSR sponsored session, INFORMS Annual Meeting November 2020
Organizer and Chair, Data-driven Design and Computer Simulations
QSR sponsored session, INFORMS Annual Meeting November 2019
Awards
- QCRE Best Student Paper Award in IISE Annual Meeting 2018
- Best Theoretical Paper Award in INFORMS Workshop on Data Mining and Decision Analysis 2021
- DAIS Best Track Paper Award in IISE Annual Conference 2022
- Student Paper Competition Winner at the joint SPES + Q&P session in JSM 2022
Projects
For a list of projects, please see Dr. Sun’s website.
Publications
For a list of Dr. Sun’s publications, please see Dr. Sun’s website.