Sean Farrell

I'm a Ph.D. student in the Computational Imaging Lab at Rice University in Houston Texas, where I am advised by Prof. Ashok Veeraraghavan. I have also worked closely with Prof. Ashutosh Sabharwal, Prof. Naomi Halas, Prof. Cesar A. Uribe, Dr. Henry O. Everitt from Rice University and Wolfgang Heidrich from KAUST.

I graduated from Trinity University in 2019 with a degree in Engineering Science and minor in Mathematics. During my time there, I worked with Prof. Dennis Ugolini on optical coatings for the Laser Interfereometric Gravitational-Wave Observatory (LIGO). I also worked with Prof. Kelly-Zion on studying fluid dynamics of sessile drop evaporation.

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Research Interests

My research lies at the intersection of computational imaging, machine learning, wireless communication, and radar imaging. Specifically, I work on designing new systems and algorithms for solving imaging inverse problems at sub-optical wavelengths (millimeter wave, terahertz, and mid-wave infrared).

Optical asymmetry creates a view-dependent visibility. We propose SCREEN, a robust and flexible passive technique for producing optical asymmetry in the visible and mid-wave infrared bands by optimizing the optical and geometric properties of a scattering medium.

Compressive Implicit Radar (CoIR) is an analysis by synthesis method that leverages the implicit neural network bias in convolutional decoders and compressed sensing to perform high accuracy millimeter wave radar imaging.

We propose a primal-dual distributed algorithm called Distributed Generalized Wirtinger Flow (DGWF) to achieve decentralized interferometric radar imaging over a network.