70 citations · 207 across the 34 of their papers we have counts for
38 papers
A Data-Driven Framework for Unsupervised Monitoring of Transmission Systems Using End-of-Line Testing Data: A Case Study at Ford Motor Company
Mohammad N. Bisheh, Mehrdad Moradi, Parinaz Farajiparvar +6
Sensing technologies have advanced rapidly across industries ranging from energy to automotive manufacturing. These systems generate high-dimensional (HD) data characterized by com…
Low-Rank and Structured Sparse Tensor Decomposition for Anomaly Detection in Multivariate Functional Data
Mohammad N. Bisheh, Che-Yi Liao, Kamran Paynabar
Multivariate functional data arise in many modern manufacturing systems, where multiple sensors record densely sampled process trajectories. Monitoring such data is challenging bec…
PAR2COX: Survival-Informed Tensor Decomposition for Phenotyping and Risk Prediction from Irregular Longitudinal Data
Mariafrancesca Patalano, Elif Konyar, Kamran Paynabar
Accurate risk prediction is crucial for clinical-decision making, intervention planning, treatment and transplant allocation. However, longitudinal clinical data are often irregula…
Constrained Extreme Gradient Boosting for Adapting Reduced-Order Models
Melika Baghi, Xiao Liu, Kamran Paynabar
High-fidelity simulations, such as computational fluid dynamics and finite element analysis, are essential for modeling complex engineering systems but are often prohibitively expe…
Flow Mismatching: Unsupervised Anomaly Detection via Velocity Discrepancies in Flow Matching Models
Shengzhe Chen, Mehrdad Moradi, Kamran Paynabar +1
We propose Flow Mismatching, an unsupervised anomaly detection method that deliberately avoids reconstruction-based paradigms. Instead, we treat flow matching as geometric dynamics…
Simultaneous Monitoring of Shape and Surface Color via 4D Point Clouds: A Registration-free Approach
Mariafrancesca Patalano, Giovanna Capizzi, Kamran Paynabar
Advanced manufacturing technologies allow for the production of intricate parts featuring high shape complexity and spatially-varying material composition. Data fusion of point clo…