CENS Technical Seminar Series

The Configurable Micropublising Platform

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Invited Speaker: Nicolai Munk Petersen and Taimur Hassan
Date: December 12, 2008
Time: 1:00 PM - 2:00 PM
Venue: Cens Seminar Room

Abstract

We will use the opportunity to introduce the next-generation Configurable Micropublising Platform, CampaignrWM, and a couple of driver applications. The platform is build to take advantage of the pervasive nature of mobile phones to collect data about the urban environment using the available sensors.

CampaignrWM for Windows Mobile (WM) makes collecting data as simple as a push of a button. It provides access to internal and external sensors in a robust and flexible manner that hides the complexities of the mobile embedded phone environment. It also empowers developers and researchers (aka "campaign admins") too add sensors on-the-fly, perform on-device processing, add new upload modules (currently we support sensorbase, perff, flickr, and twitter), or provide the end-users with a full-fledged UI. The core application is build in Microsoft Compact Framework, which in itself is a fast and type-safe environment with the added benefit of automated garbage collection. Native (Win32, ATL, MFC) components can be added as needed.

Biography

Nicolai Munk Petersen is a Mobile Technology Researcher at Center for Embedded Network Sensing. He received his MSc in Computer Science at University of California Los Angeles and his B.A. in Computer Science and Psychology from Roskilde University, Denmark. He was a visiting scholar at University of Maryland, College Park in the spring of 2006.

Taimur Hassan received his B.Sc in Computer Science from Trine University in the state of Indiana. After graduation in 1997, he worked with various companies as a software developer, writing applications in various languages for electronic protocol translation, call accounting, database, documentation and utility management. While working, he acquired a MBA from University of Dayton, and afterwards, in 2007, a Ph.D in Information Systems and Technology from Claremont Graduate University. For his dissertation, he developed and evaluated a mobile context aware application that used GPS and accelerometer data to send customized and contextual messages to motivate individuals to increase physical activity. He interests include mobile and sensor research, as well as data analysis.