ETIS-Cell seminar – Camille Simon Chane

We are delighted to welcome Camille Simon Chane over Teams for an ETIS-Cell seminar, which will occur on Wednesday, 25 March 2026. Room D331 at ENSEA has been booked for colleagues who would like to see the presentation on a bigger screen.
Title: Acquisition- and data-driven processing for demanding interdisciplinary applications: from cultural heritage to biodiversity assessment
Abstract: This talk presents an overview of my work in computer vision for interdisciplinary applications in cultural heritage and public health, working with unconventional acquisition systems such as event-based cameras. A particular focus will be given to the evolution and positioning of this work as it pertains to planetary boundaries.
Bio: Camille Simon Chane received her MSc in Electrical and Computer Engineering from the Georgia Institute of Technology in 2008, followed in 2009 by the French Engineering diploma from ENSEA. She earned her PhD in Imaging Instrumentation and Computer Vision from the University of Burgundy in 2013, where her research focused on the registration of featureless 3D and multispectral data. From 2013 to 2014, she worked at the Cité de la Musique, developing a luminescence multispectral camera for the study of violin varnishes. She then joined the Vision and Natural Computation team at the Institut de la Vision, where she expanded her expertise in event‑based data processing. Since 2017, she has been an Associate Professor at ENSEA, conducting her research within the Cell team of the ETIS laboratory. Her work centers on data processing from unconventional sensors, with applications in public health and cultural heritage. For example, she contributes to projects assessing the conservation state of book bindings in heritage libraries and developing insect recognition methods based on wing morphology. She is focusing on insect recognition for the 2025−2026 academic year through a sabbatical at Theoretical Ecology Department at CSIC−CEAB.
Link: https://teams.microsoft.com/meet/33442086490136?p=D06BGQX6z0iCVGvFeA
Meeting ID: 334 420 864 901 36
Passcode: Rg3Ka2Wm