The Cognitive Microscope (MICO) project aims at developing a cognition-driven visual explorer for histopathology. MICO proposes a radical change in medical practice by proposing a cognition-driven medical imaging environment enabling safer decision-making for histopathology. MICO system integrates dynamic capture, representation and use of specific visual medical knowledge, in order to setup the bases of a cognition-driven medical imaging, able to address pervasive adaptation and physical-virtual confluence challenges for histopathology.
AMUPADH project aims at enabling the person with mild dementia, through ambient intelligence and assistive technologies, to maximize his physical and mental functions and continue to engage in social networks, so that he can lead an independent and purposeful life. Ambient intelligence enables the capture of context information in a pervasive and non-intrusive manner. Assistive technologies will help him to preserve his abilities and independence. This project focuses on the automated recognition of activities and behaviors in smart homes and the provision of assistance accordingly.
In IVS4NSC - "An Intelligent Vision System for Quantitative Microscopy in Neural Stem Cells Progenitor Growth and Differentiation" project, in collaboration with biologists and colleagues from Biopolis, we aim at better understanding the behavior and fate of neural stem cells by enhancing the visualization and the quantification of their evolution. We use phase contrast microscopy and try to adapt computer vision algorithms to fit this goal. The concept behind it remains the enhanced microscopy paradigm.
This project aims to develop modelling formalisms for biological pathways that are succinct and tractable. This is a challenging task as the number of states of the system is exponential in the (large) number of molecular species. One feature that we exploit is that models and results need not be infinitely precise (''the concentration of p at time 2.5 hours will be 0.52 molars/litre'') since experimental data is of very limited precision, hence rough results are sufficient too (''the steady state concentration of the protein p is high''). We tackle the problem by developping stochastic models and approximate inference methods.
The main objective of the COHABIT-ASIA project is to provide an open and robust platform to support “Ambient-Assisted Living” services dedicated to dependant people. Services provided by this platform will allow people with disabilities and ageing citizens to enjoy life to the fullest and play their important roles in the modern society. 
The EURO-TELEPATH “Telepathology Network in Europe” (COST IC0604) is an initiative of the COST (European Cooperation in the field of Scientific and Technical Research) agency, supported by the European Commission Research Framework Programme (FP7). The action of IPAL in this project is related to the use of ontologies for a knowledgeable and traceable image exploration in histopathology and virtual microscopy.