Deise SANTANA MAIA

Hello and welcome to my website!

Since September of 2021, I am an associate professor of computer science at the Institut Universitaire de Technologie (IUT) at the Université de Lille. I am currently attached to the 3D SAM research team of CRIStAL (Centre de Recherche en Informatique, Signal et Automatique de Lille).

Between 2019 and 2021, I was a post-doctoral researcher at the OBELIX (OBservation de l'Environnement par Imagerie CompleXe) team of IRISA (Institut de Recherche en Informatique et Systèmes Aléatoires) where I had tho opportunity to collaborated with Sébastien Lefèvre and Minh-Tan Pham on the topics of deep learning for marine mammal detection and morphological attribute profiles applied to remote sensing images.

Between 2016 and 2019, I did my PhD studies in Computer Science at the Laboratoire d'Informatique Gaspard Monge, under the supervision of Jean Cousty, Laurent Najman and Benjamin Perret. My PhD thesis, entitled "A study of hierarchical watersheds on graphs with applications to image segmentation", can be found here.

My CV is available here.

News

Open positions:

25/11/2024 - BUT3/L3/M1: Déploiement d’algorithmes de perception et de localisation sur des robots mobiles et des véhicules intelligents sous ROS/ROS2

25/11/2024 - Master 2: "Fusion multi capteurs et diagnostic pour la perception en robotique mobile".

Projects:

03/07/2024 - our project "Artificial Inteligence applied to the cognitive and gesture analysis of individuals with Down Syndrome" in partnership with the Center of studies and research on Down Syndrome (Saber Down) was selected by the Laboratoire Associé International (LAI) call of the Université de Lille!

Supervision

PhD students:

• Zain Amin (2024-): "Multimodal 3D Human Body Generation and Interaction"

• Priscila de Jesus Ribeiro (2021-): PhD student in Linguistics at the Universidade Estadual do Sudoeste da Bahia (Brazil) currently doing an internship on "Eye tracking for reading analysis" at the Université de Lille

• Kevin Feghoul (2021-2024): defended his thesis titled "Apprentissage profond pour la simulation en santé. Application à l'informatique affective et à la science des données chirurgicales" on November 8, 2024.

Master students:

• Adrien Lesénéchal (Master 2 internship, 2024): "Higher-level graph-based image segmentation in polyalgorithmic time"

• Stevenson Pather (Master 1 project, 2023): "Algorithmes de segmentation d'images non supervisés apliqués à la détection d'objets"

• Rémy Demailly (Master 1 internship, 2022): "Développement de nouvelles approches d’IA pour l’apprentissage et la reproduction des mouvements par des robots collaboratifs"

• Paul Berg (Master 2 internship, 2021): "Weakly supervised detection of marine animals in high resolution aerial images"