We study systems with many interacting components and emergent behaviour — networks, combinatorial optimization and operations research — designing exact and metaheuristic methods, often coupled with learning, for hard, data-driven decisions.
People in Complex Systems
1 researchers contribute to this area across LIACC units.
Selected projects
IA.SAE — AI in Food and Economic Safety
AI and machine learning for food and economic safety: risk-analysis models and selection of economic operators to inspect, built with ASAE's databases.
IBPS — Intelligent Batch Processing System
Automating and optimising routines in Oracle Retail solutions with machine learning and multi-objective scaling.
PRACE-6IP
The 6th Implementation Phase of the Partnership for Advanced Computing in Europe — the pan-European HPC service.
Risksme
A decision-support tool to help SMEs identify risk-management problems and improve occupational health & safety performance.