LE Van Linh

In this project, we are building mathematical models that are used to describe the course of the disease, and to understand the mechanisms involved in cancer, to help monitor patients. We use AI to integrate parameters or measures that cannot be modeled into these models or to make a diagnosis directly. We use all the available information: imagery, genomic information, clinical data, etc. Ultimately, the objective is to assess the effectiveness of a treatment early. The idea is that the doctor can know, very quickly after the start of treatment, whether it will work or not and that he adapts his therapeutic strategy accordingly.

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This is a collaboration project with INRA - Rennes. The main purpose of the project is to study the complex interactions between the evolution of insect populations and environmental factors affecting their functions. The project focus on Carabidae, one of the most common and beneficial insects in France. The first step is the digital imaging of Carabidae specimens. Then, the images will be studied by applying the analysis methods. The methods which have been used to study are based on the morphometry analysis and deep learning. My Ph.D. thesis took a place in this project.

From a couple of years, the project Heritage Observatory collects photos, post-cards and any graphical documents about South-East Asia. In order to present the data set in a more friendly, the first step is to classify the images into several domains. From this, the volunteers can choose the types of images that they prefer to annotate. In this collaboration, we propose the Deep Learning method for classify the images in the collection.

This project is a collaboration with the archaeologists. In the old Egyptian times, the papyrus was used for administrative tasks. Then, it was used to wrap the mummies. The archaeologists have collected the papyrus as the fragments when they opened the mummies. Studying the papyrus can increase our knowledge about cultural and economic activity in the world areas. Currently, most of working with papyrus are manual. This process of assembling fragmented papyrus is time-consuming and effort. Computer technologies and image processing techniques were applied in order to help archaeologists in this task.