Advancing bio-inspired Artificial Intelligence through continual, federated, and unlearning strategies for adaptive, scalable, and responsible learning systems.
Our research explores advanced AI and Deep Learning approaches for brain and medical image analysis, integrating computer vision and clinical knowledge toward digital health.
Multimodal Learning and Reasoning is a research group focused on building models that jointly learn from and reason over text, audio, images, and video, with an emphasis on LLM-based reasoning, agentic interaction, and responsible AI.