Program Rundown - Workshop

Opening ceremony

Analysis-of-Marginal-Tail-Means (ATM): A Robust Method for Discrete Black-Box Optimization

Coffee Break

Multi-fidelity Gaussian process modeling with boundary information

Paired or partially paired two-sample tests with unordered samples

Data-driven Escalator Health Analytics

Lunch

Order-of-addition Experiments: Design and Analysis

Coffee Break

Vision Intelligence Generated Time Series Forecasting

JSNMF enables effective and accurate integrative analysis of single-cell multiomics data

Data Driven Approaches for Intelligent Elderly Care

Co-Evolution of Sensing Technology and Data Science - the Tale of Two Driving Froces Behind Modeling and Analysis of Multistage Manufacturing Processes

Coffee Break

Equitable access to COVID-19 vaccines makes a life-saving difference to all countries

Anomaly Detection and Classification of Fabricated Artifacts by Using Unstructured 3D Point Cloud Data

Data Analytics Can Enhance Intelligence of Engineering Systems

Lunch

The Evolution of Statistical Process Monitoring

Coffee Break

Significance Tests for Feature Relevance of A Black-box Learner

A Scalable Gaussian Process for Large-Scale Periodic Data

Robust Markov Decision Processes and Online Reinforcement Learning for Engineering Asset Management

Latent Variable Gaussian Process (LVGP) Modeling for Adaptive and Interpretable Machine Learning and Mixed-Variable Design

Coffee Break

Data science for intelligent design and operations of air transport systems

Difference mode decomposition for adaptive signal decomposition

Using deep learning to illuminate viral dark matter: algorithms for virus identification and analysis

Lunch

Reliability Modeling and Optimization for Systems with Clusters of Dependent Degrading Components

Data Analytical Approach Towards Complex Diseases Determinants Identification and Prediction

Statistical Monitoring of Incomplete Data from Life Testing

Data-driven Smart Prefabrication Construction in Hong Kong

Reliability Modeling, Prediction, Testing and Challenges in New Frontiers

Coffee Break

A Bayesian Robust Regression Method for Corrupted Data Reconstruction

Optimal Maintenance Policy for a Fleet of Self-service Systems Subject to Dynamic Failure-induced Demand Switch

Log-linear Stochastic Block Modeling and Monitoring of Directed Sparse Weighted Network Systems

Lunch

Causality-Informed Neural Network (CINN)

Estimating and Exploiting the Impact of Photo Layout: A Structural Approach

Prognostics and Health Management of Rechargeable Battery Systems

Dinner