Highlight F (HF)
AI for sustainability
FCAI Highlight Program F is focused especially on identifying and supporting FCAI’s innovations that are relevant for sustainability. It also runs a Virtual Laboratory called Sustainable Mobility and Autonomous Systems jointly with Research Program R6 (Autonomous AI).
The Virtual Laboratory Sustainable Mobility and Autonomous Systems develops simulations using Reinforcement Learning for mobility, traffic planning and autonomous driving for sustainable future cities.
Examples of publications:
Joakim Löfgren, Dmitry Tarasov, Taru Koitto, Patrick Rinke, Mikhail Balakshin, Milica Todorović. 2022. Machine Learning Optimization of Lignin Properties in Green Biorefineries. ACS Sustainable Chem. Eng. 10, 9469.
N Soininen et al. (2022). Bridge over troubled water: managing compatibility and conflict among thought collectives in sustainability science. Sustainability Science, 1–18.
JC Demmler et al (2021). A novel approach of creating sustainable urban planning solutions that optimise the local air quality and environmental equity in Helsinki, Finland: The CouSCOUS study protocol. Plos one 16 (12).
Coordinating professor: Laura Ruotsalainen – laura.ruotsalainen at helsinki.fi
People
The groups of following PIs take part in this Highlight. If you would like to join the Highlight, please contact the coordinating professor.
Zhengmao Li, Aalto University
Ville Kyrki, Aalto University
Kai Puolamäki, University of Helsinki
Patrick Rinke, Aalto University
Laura Ruotsalainen, University of Helsinki – coordinating professor
Fundamental AI Research
Joint methodological goal
AI-assisted decision-making, design and modeling →
Research Programs
Probabilistic AI →
Simulators →
Deep learning →
Privacy and security →
Interactive AI →
Autonomous AI →
AI in society →
Highlight Programs
Modeling tools →
Health →
Service assistant →
Atmospheric →
Materials →
Sustainability →