The Michigan Institute for Data Science (MIDAS) is convening a research working group on mobile sensor analytics. Mobile sensors are taking on an increasing presence in our lives. Wearable devices allow for physiological and cognitive monitoring, and behavior modeling for health maintenance, exercise, sports, and entertainment. Sensors in vehicles measure vehicle kinematics, record driver behavior, and increase perimeter awareness. Mobile sensors are becoming essential in areas such as environmental monitoring and epidemiological tracking.
There are significant data science opportunities for theory and application in mobile sensor analytics, including real-time data collection, streaming data analysis, active on-line learning, mobile sensor networks, and energy efficient mobile computing.
Our working group welcomes researchers with interest in mobile sensor analytics in any scientific domain, including but not limited to health, transportation, smart cities, ecology and the environment.
Where and When:
Noon to 2 pm, April 13, 2017
School of Public Health I, Room 7625
Lunch provided
Agenda:
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Brief presentations about challenges and opportunities in mobile sensor analytics (theory and application);
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A brief presentation of a list of funding opportunities;
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Discussion of research ideas and collaboration in the context of grant application and industry partnership.
Future Plans: Based on the interest of participants, MIDAS will alert researchers to relevant funding opportunities, hold follow-up meetings for continued discussion and team formation as ideas crystalize for grant applications, and work with the UM Business Engagement Center to bring in industry partnership.
Please RSVP. For questions, please contact Jing Liu, Ph.D, MIDAS research specialist ([email protected]; 734-764-2750).