Our society is changing at a fast pace. We are devising highly complex technical solutions to integrate volatile renewable energy sources into the energy grid, algorithmic solutions to reduce congestion on the roads, and policies to introduce self-driving cars, just to name a few. In all these examples, humans are at the central stage. From a mathematical standpoint, all these examples use optimization to determine the best design and decisions, but optimization was traditionally limited to static, unchangeable problems, where humans had no place.
I will present some of the work my collaborators and I did to upgrade optimization to tackle the challenges of the age: dynamics and the human dimension; in the framework we call: time-varying personalised optimization.
Join at: imt.lu/seminar