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Texas ECE Professor Al Bovik’s neuroscience-based Visual Information Fidelity (VIF) picture quality measurement tool has been built into the core of Netflix’s quality system which controls the quality of every video streamed by Netflix to all customers world-wide. VIF is a full reference image quality assessment index that is based on natural scene statistics, and on a model of the type of image information that is extracted by the human visual system. It was developed by Prof.

Radiosense, an Austin-based startup that provides precise positioning for automated vehicles, recently placed in the top three at Texas Wireless Summit (TWS) 2016’s Autotech Startup Showcase. Radiosense was founded by WNCG student and CEO Andrew Kerns, fellow student Daniel Shepard and alum Ken Pesyna. Produced as a partnership between TWS and the Austin Technology Incubator (ATI) and sponsored by Rohde and Schwarz, the TWS showcase identified promising autotech startups from across the country and created a distinct platform for exposure and industry engagement.

Imagine drawing a light painting using a phone’s antenna and GPS system. Imagine a world of virtual reality, where buildings are perfect replicas of their real-world counterparts, down to the exact height of a piece of gum stuck under a desk. Where a person cannot only see their location on the street but also the exact height and orientation of their mobile device in hand. This world of imagination and precise positioning is now becoming a reality, and through the efforts of WNCG students, even finding its way to market.