Human Mobility Modeling: Insights and Challenges

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• Raghu Ganti, IBM Research
• Friday 10 July 2015, 14:00-15:00
• Dennis Gabor Seminar Room, 611, level 6, EEE Dept. .

If you have a question about this talk, please contact Kin K Leung.

The ubiquitous availability of location sensing devices in the form of smartphones, cars, taxis, and other devices combined with the ability to collect data at scale enables the fine grained monitoring and modeling of human movement, both at the individual level and a group level. In this talk, we will first examine human movement data from call-detail records and taxi cabs and provide insights into “routes” and “timing” aspects of the movement patterns in large cities. We will then pose the question of efficiently analyzing large volumes of mobility data at scale (both real-time and non-real-time aspects) and have an open discussion regarding these challenges.

Bio: Raghu Ganti is a Research Staff Member at the IBM T . J. Watson Research center. He is part of the Cloud Based Networks department. His research interests span big data, wireless sensor networks, privacy, data mining, and cloud computing. He obtained his MS and PhD degrees from the Department of Computer Science, University of Illinois, Urbana-Champaign in August 2010. He is the recipient of the Siebel scholar fellowship, Class of 2010. He received his B.Tech degree from the Indian Institute of Technology, Madras in Computer Science and Engineering.

This talk is part of the Featured talks series.

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• Dennis Gabor Seminar Room, 611, level 6, EEE Dept.
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