AiBLE Lab
Activating Intelligence in Building Lasting and Liveable Environments
How AI can be developed and used in complex real-world scenarios in the built environment? Our aim is to help reach effective, transparent and lasting decisions and agreements. This means incorporating human feedback into the loop, iteratively improving decision-making and driving behaviour changes. We focus on two important built environment challenges: energy transition and circularity. By using AI to augment human intelligence and support negotiation and deliberation continuously – while adapting to and driving human behaviour – the AiBLE Lab will close the policy-practice gap responsibly and inclusively. We also aim to accelerate the adoption and acceptance of AI.
The AiBLE Lab Lab is part of the TU Delft AI Labs programme.
The Team
Directors
Tong Wang
Faculty of ABE
Lab director
Luciano Cavalcante Siebert
Faculty of EEMCS
Lab director
PhD's
Amir Homayouni Rad
PhD student
Tian Xia
PhD student
Koray Bingöl
PhD student
Antonio Mone
PhD student
Associated faculty
Aksel Ersoy
Associated faculty
Catholijn Jonker
Associated faculty
Ellen van Bueren
Associated faculty
Frank Broz
Associated faculty
Frans Oliehoek
Associated faculty
Paul Chan
Associated faculty
Education
Courses
- Computational Intelligence (CSE 2350)
- Collaborative Artificial Intelligence (CSE2530)
Master projects
Ongoing
Supervision of students in Capstone Applied AI project 2022-2023 T13150TU at TU Delft by Amir Homayouni Rad. Project Name: Topic modeling for policymaking assessment in energy transition.