Workshop on Collaborative Research at the Intersection of Statistics and Engineering: High-Dimensional Data Analysis

The Collaborative Research at the Intersection of Statistics and Engineering (CRSE) Program aims to provide supplementary mentorship to engineering Ph.D. students whose research involves the analysis of high-dimensional data, as well as to statistics Ph.D. students developing statistical methods applicable to engineering. The CRSE Workshop will include two main components: Lectures on state-of-the-art methods in high-dimensional data analysis by distinguished experts, and Research Sessions in which Ph.D. students will present their projects, followed by discussions and feedback from participating experts and peers (see Workshop Schedule). In addition, a Program Director from the National Science Foundation (NSF) will share insights on funding opportunities and resources available to Ph.D. students and academic researchers. 

The objectives of the workshop are to:

·    Advance collaboration between statisticians and engineers.

·    Provide training and feedback opportunities for Ph.D. students.

·    Facilitate discussions on high-dimensional data analysis and its applications.

The workshop theme includes, but is not limited to, the following areas:

Statistical topics

·     High-Dimensional Time Series Analysis

·     Functional Data Analysis

·     Regularization and Sparse Modeling

·     Bayesian High-Dimensional Modeling

·     Dimensionality Reduction and Embedding Techniques

·     Conformal Prediction and Uncertainty Quantification

·     Physics-Informed Machine Learning

Engineering applications

·     Transportation Data Analysis

·     Environmental Modeling 

·     Infrastructure Demand Forecasting

·     Advanced Manufacturing and Process Control

·     Energy Demand and Supply Modeling

·     Autonomous and Robotics Systems

·     Biomedical Signal Analysis

Ph.D. students are invited to apply to participate in the workshop. Details on eligibility and the application process can be found here.

Organizing Committee and Principal Investigators