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Visiting Industrial Fellows
Phillip Sandborn, Ph.D. 2017

Electrical Engineering
Advisor: Prof. Wu

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Job Interests: Industry R&D, Bay Area preferred

Phillip Sandborn is a PhD Candidate in the Department of Electrical Engineering and Computer Sciences at UC Berkeley, advised by Prof. Ming Wu. He received his B.S. in Electrical Engineering and B.S. in Mathematics, (both in 2012) at the University of Maryland. His current research interests are in the field of LIDAR sensing and, specifically, the development of new architectures and technologies to reduce size, cost, and power consumption of coherent LIDAR systems.

Electronic-Photonic Heterogeneous Integration (EPHI) for High Resolution FMCW LIDAR [BPN721]
Range-finding sensors have applications that span several industries and markets, from metrology to robotic control. In order to penetrate large consumer markets such as 3D imaging for smart-phones or automotive 3D vision, the size and cost of laser detection and ranging (LIDAR) sensors must be reduced by an order of magnitude. By leveraging emerging electronic- photonic integration technology, compact LIDAR sensors with reduction in size/cost can be constructed. We demonstrate the integration of passive Si photonic circuits and CMOS electronic circuits to create a frequency-modulated continuous-wave laser detection and ranging (FMCW LIDAR) source using this technology. Results have shown that electronic-photonic 3D integration of optoelectronic components can greatly improve the performance of FMCW LADAR sources. We demonstrate an FMCW LADAR with 4-micron ranging precision. We also demonstrate several architectural improvements to maximize the capability of coherent systems in long-range imaging applications.

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     Last Updated: Mon 2017-Jan-30 08:16:40

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