Tias Guns is an AI researcher working at the intersection of data science and constraint optimisation. Constraint solving is a key technology for solving scheduling, planning and configuration problems across all industries.

Tias' expertise is in the hybridisation of machine learning systems with constraint solving systems, more specifically building constraint solving systems that reason both on explicit knowledge as well as knowledge learned from data. For example learning the preferences of planners in vehicle routing, and solving new routing problems taking both operational constraints and learned human preferences into account; or building energy price predictors specifically for energy-aware scheduling, and planning maintenance crews based on expected failures.

This has the potential to capture both the problem structure and more subjective aspects such as human preferences and changing environments. The ultimate goal is to make constraint solving techniques more intelligent and human-aware.