Advancing Artificial Intelligence.
Connecting research with real-world impact.
LIACC is an R&D unit of the University of Porto. Across seven research areas and seven thematic lines, we turn fundamental AI research into applied solutions for Health, Smart Cities, Industry, Public Administration, Infrastructures, Entertainment, and Human/Machine Interaction.
LIACC at a glance
Research
Seven research areas, one laboratory
Foundational AI, from theory to robotics, with a strong Portuguese NLP focus and deep ties to data science and optimisation.
Machine Learning
Supervised, unsupervised, and reinforcement learning applied to real-world data streams, from tabular to multimodal.
Natural Language Processing
Language technologies for Portuguese and multilingual contexts.
Intelligent Robotics
Autonomous agents, perception, manipulation, and human–robot interaction.
Intelligent Simulation
Agent-based modelling and simulation of distributed, interacting systems.
Complex Systems
Emergent behaviour, networks, and optimization across many interacting parts.
Declarative Programming
Logic, functional and constraint programming, type systems and program semantics.
Software Engineering
Methods, tools and architectures for building reliable intelligent software.
Thematic lines
Research that answers to society
Seven thematic lines translate fundamental AI into measurable impact across critical sectors.
Health
AI for diagnostics, clinical decision support, and population health.
Smart Cities
Urban intelligence: mobility, energy, air quality, and citizen services.
Industry & Services
Applied AI for manufacturing, logistics, and service operations.
Public Administration
Trustworthy AI for policy, services, and oversight.
Infrastructures
AI for critical networks: energy, water, and transport.
Entertainment
AI in games, simulation, and creative media.
Human/Machine Interaction
Multimodal, adaptive, and accessible interfaces between people and intelligent systems.
Projects
Featured projects
Real LIACC projects — from intelligent wheelchairs to driver-drowsiness prediction.
MASDIMA — Multi-Agent Disruption Management
A multi-agent system for disruption management, using distributed negotiation among specialised agents.
SIAP — AI for Heritage Risk Detection
AI for data processing to make heritage supervision more effective and optimise intervention through sensing and monitoring of historic structures.
DynamiCITY
An integrated, collaborative virtual lab — open-data platform plus a multi-agent decision-support system — to engineer and test smart-city solutions before deploying them.
Governance
Led by researchers with decades of impact
Our executive committee coordinates research, education, and partnerships across LIACC units.
News
Latest from LIACC
Project milestones, awards, publications, and calls.
FCPortugal three-time champion at RoboCup 2024
FCPortugal, the FEUP/University of Aveiro team with LIACC participation, won RoboCup 2024 — its third title in the competition.
DeepLearn 2024 draws 370+ participants from 39 countries
DeepLearn 2024 brought together more than 370 participants from 39 nationalities, with LIACC involvement in the organisation.
LIACC Meeting 2024
LIACC held its 2024 annual meeting (Jornadas) to review the lab's activities and research directions.
Shop
Wear the lab
Lab-branded merchandise — a proposed outreach and brand channel for open days, conferences and recruitment, with any proceeds going to student activities. (Prototype.)
Let's build the next generation of trustworthy AI together.
We partner with universities, industry, hospitals, and public bodies. Tell us about your challenge — we'll point you to the right team.