Crowd-sensing and Inference for Predictive Models
John was a Nokia Fellow and the founding director of Nokia Research Center North America Lab. NRC-NAL had research teams pursuing a wide range of research projects in mobile Internet and mobile computing. Before Nokia, John was Director of the Microarchitecture Research Lab at Intel and a tenured Full Professor at CMU. After spending 15 years in the industry, all in the Silicon Valley, he returned to CMU in the fall of 2015 as a tenured Full Professor in the ECE Department, and is based at the Carnegie Mellon Silicon Valley campus.
Using the CrowdSignals Data
John will use the data produced by CrowdSignals to reduce congestion by building predictive traffic models that use real-time traffic data from the crowd.
"CrowdSignals will enable researchers from diverse disciplines to conduct deep research into human behavior modeling and prediction, and to carry out large-scale in-situ experiments. With the capabilities provided by CrowdSignals, new crowd-sensing and inferencing systems can be developed to provide valuable services to people, private enterprises, and civic organizations."
- John P. Shen,
Carnegie Mellon University
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