ESR3.2: Michael REINWALDBio-inspiration

Michael REINWALD: I studied Physics at the University of Regensburg - my hometown in Bavaria, Germany and obtained my bachelors degree in 2013. Subsequently I enrolled in the international masters course "Geophysics" at LMU Munich. This year I graduated from there with a strong focus on numerical simulations of seismic wave propagation and inverse problems. My master thesis is named "Reducing non-uniqueness in probabilistic finite fault inversion for a normal fault" and combined the two main study areas I just mentioned.

Main host institution:

Laboratoire d’Imagerie Médicale (LIB), Université Pierre et Marie Curie (Paris, France)

Supervisors:

Quentin Grimal (quentin.grimal @ upmc.fr) & Lapo Boschi (lapo.boschi @ upmc.fr)

Secondment institutions:

• Laboratory of Therapeutic Applications of Ultrasound, INSERM (Lyon, France)
• Institut für Geophysik, Eidgenössische Technische Hochschule (Zurich, Switzerland)

Objectives:

Many animals use audition as their primary tool to navigate, communicate, and hunt. The accuracy and efficiency with which they complete those tasks indicate that they can use full-waveform information very effectively. Co-supervisor Catheline and co-workers as well as other authors have started to develop acoustic localization and imaging devices functioning with very few transducers combined with an acoustic cavity. We shall build on those efforts to design an algorithm that mimics the ear-brain system found in nature. We shall further explore, via numerical modeling, the specific role of bone conduction in source localization.

Expected results:

The student, working at UPMC in close collaboration with INSERM, will generate synthetic data and evaluate the sensitivity of different metrics to changes in source location, eventually identifying the most effective localization technique.

international conference:

ASA - 5th Joint Meeting of the Acoustical Society of America and Acoustical Society of Japan, Honolulu Hawaii, 28/11-2/12/2016: talk on Numerical simulations of sound source localization with two-dimensional bio-inspired antennas of varying geometric complexities and poster on Skull-shaped antenna enables near-field super-resolution in acoustic source localization using elastic waves.

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