LNE has awarded the LNE Research Prize to three researchers working on radioactivity measurement: Anne de Vismes Ott, Christophe Bobin and Jérôme Bobin. Created in 2009, the LNE Research Award recognizes researchers who have contributed to the success and scientific reputation of the French National Metrology Network and LNE's own research activities.
Anne de Vismes Ott, Christophe Bobin and Jérôme Bobin are rewarded for their work on developing a unique metrological approach to spectral unmixing and radionuclide identification at LNE-LNHB.
Anne de Vismes Ott holds a PhD in nuclear physics from the University of Caen. After a post-doctorate at the Laboratoire National Henri Becquerel (LNELNHB) on cylindrical ionization chambers with pressurized wells, she joined the Institut de Radioprotection et de Sûreté Nucléaire (IRSN) in 2007 as a researcher in environmental metrology within IRSN's Laboratoire de Métrologie de la Radioactivité de l'Environnement. A specialist in gamma spectrometry, she works on improving radionuclide measurement methods.
Christophe Bobin holds a PhD in physics from the Institut de Physique des Deux Infinis at the University of Lyon. After a post-doctorate at LNE-LNHB on the application of X-ray spectrometry with cryogenic detectors, he has contributed to research in ionizing radiation metrology for the past twenty years. He was appointed senior expert in nuclear instrumentation and metrology at the Commissariat à l'énergie atomique et aux énergies alternatives (CEA) in 2011. His work has led to the metrological development of automatic spectra processing algorithms for rapid and reliable measurements in environmental monitoring, NRBC (nuclear, radiological, biological, chemical) risks and radiological threat identification.
Jérôme Bobin has a degree in physics and a doctorate in physics - signal and image processing from Pari-Sud University. After two post-doctorates in the USA, at CalTech and then Stanford University, he joined the CEA's Institute for Fundamental Research as a research engineer in 2010, and obtained his habilitation to direct research (HDR) in 2015. Winner of an ERC fellowship in 2016, he is working in particular on the development of methods for solving inverse problems based on the use of parsimonious models, with a strong emphasis on the analysis of multi-valued data (multi-spectral, hyper-spectral, mass spectrometry...). Since 2015, his methodological work has focused more on non-linear data modeling, in particular using machine learning.
Created in 2009, the LNE Research Awards have in turn rewarded researchers in fields as varied as nanotechnology, health, the environment, telecommunications, energy, transport, information technology and materials.
In over 10 years, LNE has rewarded more than a dozen researchers who have combined science and pragmatism, for research with a strong impact on science, industry and society.
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