Jeanne Parmentier PhD Defence: Advancing AI for Equine Health

Last Thursday, our PhD candidate Jeanne Parmentier successfully concluded her PhD journey with the defence of her dissertation, “EQUAINE – Asking machines to understand equine data and keep learning from it.”

Her multidisciplinary research explores the use of artificial intelligence in the equine veterinary domain, focusing on the development and improvement of tools for objectively quantifying locomotion and respiration in horses. By combining AI, sensing technologies, and veterinary expertise, her work contributes to new ways of monitoring and understanding equine health.

During the defence, she discussed her research with the assessment committee consisting of Albert Ali Salah, Harold Brommer, Hedvig Kjellström, Özlem Durmaz Incel, and Pia Haubro Andersen.

The PhD research was carried out under the supervision of René van Weeren, Maarten van Steen, Filipe Bragança, and Berend Jan van der Zwaag, and was a collaboration between the Faculty of Veterinary Medicine at Utrecht University and the Pervasive Systems group at the University of Twente.

We congratulate Jeanne Parmentier on this important milestone and wish her every success as she continues exploring the possibilities of AI for horses and other animals.

The dissertation, EQUAINE – Asking machines to understand equine data and keep learning from it, is available online.

Photos: Jos Kuklewski