Events

Date: 27 November 2025   Time: 14:00 - 15:00

Location: Hybrid: Seminar Room MB-503, School of Mathematical Sciences, QMUL, or via the Teams link below

Searching for an optimal experimental design is computationally intensive, particularly in high-dimensional settings or in multi-objective cases. In practical applications, it is common to encounter competing design criteria that must be carefully balanced. Functional factors can also be integrated into other optimal experimental designs. Such scenarios are prevalent in fields such as engineering, chemistry, environmental science, the pharmaceutical industry, and beyond. A variety of algorithmic tools that strike a balance between computational speed and effectiveness are introduced, laying the groundwork for more reliable design processes.
Joint works with Theodoros Ladas, Davide Pigoli and Francesca Cucchi, Andrea Melloncelli, Francesco Sambo, Matteo Borrotti

Teams link