Peter Terlecky

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—With the advent of smartphone technology, it has become possible to conceive of entirely new classes of applications. Social swarming, in which users armed with smartphones are directed by a central director to report on events in the physical world, has several real-world applications. In this paper, we focus on the following problem: how does the(More)
Motivated by an availability gap for visual media, where images and videos are uploaded from mobile devices well after they are generated, we explore the selective, timely retrieval of media content from a collection of mobile devices. We envision this capability being driven by similarity-based queries posed to a cloud search front-end, which in turn(More)
Sensor networks are ubiquitously used for detection and tracking and as a result covering is one of the main tasks of such networks. We study the problem of maximizing the coverage lifetime of a barrier by mobile sensors with limited battery powers, where the coverage lifetime is the time until there is a breakdown in coverage due to the death of a sensor.(More)
—This paper complements the large body of social sensing literature by developing means for augmenting sensing data with inference results that " fill-in " missing pieces. Unlike trend-extrapolation methods, we focus on prediction in disaster scenarios where disruptive trend changes occur. A set of prediction heuristics (and a standard trend extrapolation(More)
This paper complements the large body of social sensing literature by developing means for augmenting sensing data with inference results that " fill-in " missing pieces. It specifically explores the synergy between (i) inference techniques used for filling-in missing pieces and (ii) source selection techniques used to determine which pieces to retrieve in(More)
—In social swarming applications, participants equipped with 3G and WiFi-capable smartphones are tasked to provide reports (possibly voluminous ones that include full-motion video) about their immediate environment to a central coordinator. In this paper, we consider the problem of timely delivery of these reports: Each report has an associated deadline,(More)
Motivated by an availability gap for visual media, where images and videos are uploaded from mobile devices well after they are generated, we explore the <i>selective, timely retrieval</i> of media content from a collection of mobile devices. We envision this capability being driven by <i>similarity-based queries</i> posed to a cloud search front-end,(More)