“Dornbush has found entrepreneurial ideas in things that bug him – being stuck in traffic and his dislike for making playlists for his iPod. Dornbush is part of a research group led by one of his mentors — computer science professor Zary Segall — which specializes in human aware computing-making computers wearable, ubiquitous and most importantly, able to sense and adjust to a user’s mood, surroundings and social situation. Last year, with the help of visual arts professor David Yager and the encouragement of Alex. Brown Center for Entrepreneurship Director Vivian Armor, Dornbush took his idea StreetSmart Traffic to the Greater Baltimore Technology Council’s “Mosh Pit” business plan competition and placed third overall. The idea uses peer-to-peer wireless communication to boost a standard GPS driving aid.” (source)
UMBC’s Alex. Brown Center for Entrepreneurship was established in 2000 to foster entrepreneurship among UMBC’s students and faculty. The center works closely with the Baltimore business community, including the Greater Baltimore Technology Council, which sponsors the MoshPit! to help university students experience every aspect of starting a business. Sandor says of his MoshPit! experience
“The Mosh Pit competition was very fun and I learned a lot about how to develop and pitch a business plan,” said Dornbush. “I was kind of amazed by the support and attention that I got from the University when I did as well as I did. I would strongly recommend anybody with novel ideas that have market potential to pitch their idea.” (source)
Sandor developed the StreetSmart idea as part of his MS thesis,
StreetSmart Traffic: Discovering and Disseminating Automobile Congestion Using VANETs, which explored the idea of using vehicular ad-hoc networks to enable vehicles to automatically share traffic data collected as they travel.
“We propose a system that uses a standard GPS driving aid, augmented with peer-to-peer wireless communication. This system could provide more accurate and complete traffic monitoring than existing systems, and do so at almost no cost to the service provider. StreetSmart has been be evaluated in a simulation. The system uses a combination of clustering and epidemic communication to find and disseminate traffic information. This system is designed to accommodate dynamic traffic patterns. We ensure the privacy of the participating drivers so drivers will be willing to disclose their driving paths. This project could become a very useful system, saving millions of human hours and dollars.” (source)
Some of Sandor’s recent papers are available on the ebiquity site.