Conveners
Design of Experiments
- Marco P. Seabra dos Reis (Department of Chemical Engineering, University of Coimbra)
Design of Experiments
- Marco P. Seabra dos Reis (Department of Chemical Engineering, University of Coimbra)
Design of Experiments
- Luc Pronzato (CNRS)
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Marco P. Seabra dos Reis (Department of Chemical Engineering, University of Coimbra)9/7/26, 10:55 AMDesign of Experiments
As referred in last year’s abstract by the same authors, “the landscape of the pharmaceutical industry is evolving”. Such a process continues, with more efforts being devoted to developing data-efficient methodologies for exploring operational spaces of increasing dimensionality that may be composed of continuous, categorical, and mixture factors. From what was (and still is) a science-based...
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Dr Phil Kay (JMP Statistical Discovery)9/7/26, 11:15 AMDesign of Experiments
Antibiotic resistance is one of the greatest health threats facing the world. The University of Oxford are pioneering a novel approach by targeting the RecBCD enzyme — a key regulator of DNA repair in bacteria. Central to this was the development of a robust, high-throughput biochemical assay, which meant navigating a complex 11-factor space.
Initially limited by manual pipetting and...
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Karla Cervantes (Tecnologico de Monterrey)9/7/26, 11:35 AMDesign of Experiments
Personalized medicine aims to improve treatment decisions using patient-specific covariates. In diseases with heterogeneous treatment responses, estimating treatment-covariate interactions is essential for identifying effective therapies across patient subgroups. Multi-arm clinical trials provide an efficient framework for evaluating several treatments simultaneously; however, the design...
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Dr Stefanie Feiler (FHNW School of Life Sciences)9/7/26, 12:00 PMDesign of Experiments
The classical approach to DoE, as shaped by Fisher, now reaches back almost 100 years. Bayesian optimisation, or "active learning", is now often presented as a more modern alternative. As an iterative method, it selects each new experimental run based on the information currently available. This means that randomisation, which is one of the central aspects in "classical" DoE, is inherently...
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Jonathan Stallrich (North Carolina State University)9/7/26, 12:20 PMDesign of Experiments
The foldover technique for screening designs is well known to guarantee zero aliasing of the main effect estimators with respect to two factor interactions and quadratic effects. It is a key feature of many popular response surface designs, including central composite designs, definitive screening designs, and most orthogonal, minimally-aliased response surface designs. In this paper, we show...
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Jacqueline Asscher (Kinneret College, Technion)9/7/26, 12:40 PMDesign of Experiments
BO methods have recently been advocated as a newly accessible, straightforward, hands-off alternative to design of experiments (DOE) to efficiently optimize the levels of the factors in physical experiments. Physical experiments have random variation between replicated runs.
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In the typical hands-on DOE approach to process optimization, an initial choice of factors and their ranges is made... -
Helmut Waldl (Johannes Kepler University Linz)9/9/26, 10:55 AMDesign of Experiments
In spatial statistics, optimal designs select sampling locations such that a specific optimality criterion - for instance, maximizing the precision of parameter estimation or prediction accuracy - is satisfied. This task is particularly challenging in high-dimensional design spaces. Frequently, space-filling designs are used as an alternative; however, these perform well only under certain...
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Marcus Perry (University of Alabama)9/9/26, 11:15 AMDesign of Experiments
In industrial split-plot experiments, traditional algebraic block generators often force complete aliasing between critical sub-plot interactions and whole-plot blocks, trapping vulnerable effects within the high-variance whole-plot error stratum and severely reducing experimental power. While algorithmic D-optimal designs can mitigate this loss through partial confounding, generating such...
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Robin van der Haar (KU Leuven)9/9/26, 11:35 AMDesign of Experiments
Model selection in screening experiments is challenging when data arise from split-plot designs, multi-day industrial studies, or other settings that introduce correlation between observations. Standard approaches, including stepwise selection, LASSO, and mixed-integer optimisation (MIO), assume independent errors and may show degraded performance when this assumption is violated, limiting...
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