Van Tien Pham

I am currently a postdoctoral researcher at CEA, Université Paris-Saclay, working within the PEPR IA – HOLIGRAIL project on energy-efficient and hardware-aware AI architectures for embedded systems. Previously, I was a postdoctoral researcher at the Laboratoire d’Informatique et des Systèmes (LIS), where I worked on efficient multimodal foundation models for anomaly detection.

I obtained my Ph.D. from Université de Toulon, where my thesis on deep neural network compression using pruning and low-rank approximations was awarded an Accessit of the AFRIF 2026 PhD Thesis Prize (Association Française pour la Reconnaissance et l’Interprétation des Formes).

Before that, I was a research engineer at Viettel High Technologies Industry Corporation, contributing to the development of a virtual reality simulation system.

I earned my engineering and master’s degrees from Hanoi University of Science and Technology, School of Information and Communications Technology. During this time, I worked at the International Research Institute MICA on object detection, segmentation, and tracking from egocentric vision.