David Lorenzi

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Digital government is universally gaining acceptance as the public becomes more technologically advanced. The government must embrace new technology to minimize costs and maximize utility of services to the taxpayer. While administrative services have been easily ported to the digital world, there are still many important citizen-centric services that have(More)
Image classification, in general, is considered a hard problem, though it is necessary for many useful applications such as automatic target recognition. Indeed, no general methods exist that can work in varying scenarios and still achieve good performance across the board. In this paper, we actually identify a very interesting problem, where image(More)
This paper explores the idea of government emergency response and disaster management through the lens of popular social media services. One of the traditional challenges to effective emergency response and disaster management is communication between the government and its constituents. As a consequence of this lack of communication, organization of work(More)
As online automation, image processing and computer vision become increasingly powerful and sophisticated, methods to secure online assets from automated attacks (bots) are required. As traditional text based CAPTCHAs become more vulnerable to attacks, new methods for ensuring a user is human must be devised. To provide a solution to this problem, we aim to(More)