TAIH - Transdisciplinary AI Hub

Research

Research

TAIH research turns AI methods into solutions across engineering, medicine, the sciences, and the social study of AI. Below are the flagship themes that guide our work, along with a selection of top-tier publications from the Hub's directors.

Research themes

Where transdisciplinary teams are making an impact.

Human Dynamics in a Changing World

Modeling human interactions and behaviour to support evidence-based policy development and decision-making in complex, rapidly changing environments.

Reimagining the Energy Landscape

AI-driven innovations that redefine how sustainable energy infrastructure and electrical grids are modeled, planned, and operated.

New Earth & Space Technologies

Applying AI to satellite imagery analysis, autonomous space robotics, and space mission planning for Earth observation and exploration.

Engineering Solutions for Health

Advancing AI for biomedical diagnostics, personalized medicine, and the equitable integration of artificial intelligence into healthcare.

Transdisciplinary Research

The core of the Hub, uniting experts in engineering, medicine, and the social implications of AI to create implementable research across disciplines and industry.

Selected publications

Top-tier work from the Hub's directors.

A selection of peer-reviewed work from the Hub's directors at the field's leading venues, including NeurIPS, ICML, ICLR, AAAI, and the flagship IEEE journals. This list is curated and highlights top-tier venues, so it is not a complete publication record.

Samira Ebrahimi Kahou

Founder & Director Mila ↗

Mahdis Bisheban

Founder & Co-Director

Steve Drew ↗

Founder & Co-Director

Mostafa Farrokhabadi ↗

Founder & Co-Director