August 11–13, 2026 · Wharton School, University of Pennsylvania · Philadelphia, PA
Dates were moved from June to August due to overlap with FIFA World Cup events in Philadelphia
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.
Expert Lecturers and Discussants
Wharton School, University of Pennsylvania
Operations, Information and Decisions Department
Wharton School, University of Pennsylvania
Department of Statistics
Virginia Tech
VT Transportation Institute
Department of Statistics
Wharton School, University of Pennsylvania
Department of Statistics
Duke University
Department of Statistical Science
Cornell University, Department of Statistics and Data Science
Mayo Clinic · National Institute of Statistical Sciences
Rutgers University
Department of Statistics
Georgia Tech
School of Industrial and Systems Engineering
Organizing Committee and Principal Investigators
Ardavan Yazdanbakhsh, PI
City College of New York, Department of Civil Engineering
CUNY Graduate Center, Earth and Environmental Sciences Dept.
Giles Hooker, co-PI
Wharton School, University of Pennsylvania, Department of Statistics
Rui Tuo, co-PI
Texas A&M, Department of Industrial and Systems Engineering
Yiqiao Li, co-PI
City College of New York, Department of Civil Engineering
Zhimei Ren, co-PI
Wharton School, University of Pennsylvania, Department of Statistics
Jaesung Lee, Senior Personnel
Texas A&M, Department of Industrial and Systems Engineering
The CRSE workshop is supported by the National Science Foundation through the Division of Mathematical Sciences under Award No. 2538439.