All invited speakers must register and submit the title and abstract via the following link by Feb 28, 2025
https://forms.office.com/r/wRKvMnwGbq
Featured Sessions
Machine Learning in Industrial settings
Physics-guided computer experiments
Statistical modeling in astro, particle and nuclear physics
Big data analysis coupled with experimental designs
Computer experiments and uncertainty quantification
Bayesian experimental design
Industry Career Panel Session
Screening Experiments
Active Learning and Experimental Design
Fractional factorial and optimal design of experiments
Technometrics Invited Session
Innovations in Frequency Domain Techniques for Understanding Complex Time Series Data
Emerging Statistical Techniques for High-dimensional and Complex Data
Inverse Problems and Uncertainty Quantification
Gaussian Process and Deep Learning Models
Advanced Methods for Efficient Experimental Design
Active Learning for Computer Models
Advances in Bayesian Inference and Simulation-Based Methods
Statistical Inference and Regression Methods
Scalable and Adaptive Methodology for Optimization and Emulation in Complex Systems
Innovative Causal Inference Methods for Complex Experimental Designs
High-Dimensional and Robust Regression
Simulation-Based Decision Making through Advanced Sequential Design and Surrogate Modeling
Physics-Informed and Data-Driven Inference for Complex Dynamical Systems
Bayesian Optimization and Uncertainty Quantification
Innovations in Probabilistic Modeling and Uncertainty Quantification
Statistical Advances for Efficient and Ethical Experimental Design
Advancements in Bayesian Experimental Design