• Workshop

Lihi Shiloh

Trigo Vision

About Lihi Shiloh

Dr. Lihi Shiloh-Perl is an algorithm researcher at Trigo Vision, developing cutting edge multi-disciplinary technologies. She is working on the seam between physical sensing and advanced algorithms.
Lihi received her PhD in 2020 from Tel-Aviv University’s Electrical Engineering school, for researching advanced signal processing for distributed acoustic sensing. She finished her M.Sc at Tel-Aviv University as well, and her B.Sc at the Electrical Engineering faculty of the Technion-Israel institute of technology

Deep learning for fiber-optic DAS seismic data processing

As Distributed Acoustic Sensing (DAS) continues to accumulate popularity in numerous applications, the need for automatic processing intensifies. As we witness audio, image and video being analyzed exceptionally using deep learning technologies, one may ask – how can I utilize this knowledge to DAS data processing? The answer is complex and not straightforward since DAS data is unique, with multiple noise sources, stochastic nature and non-existing labeled dataset. In this workshop, I will review deep learning methodologies, the challenges that the DAS data encapsulate for this task, and how they can be tackled.

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